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  1. Association analysis identifies TLR7 and TLR8 as novel risk genes in asthma and related disorders

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    Møller-Larsen, Steffen; Nyegaard, Mette; Haagerup, Annette;

    2008-01-01

    BACKGROUND: Toll-like receptors (TLRs) are structurally and functionally related and play important roles in the innate and adaptive immune system. By genome scanning, evidence of linkage between chromosome Xp22 and asthma and related atopic disorders has previously been obtained. Xp22 harbours the...... TLR7 and TLR8 genes. METHODS: The involvement of TLR7 and TLR8 in the aetiology of asthma and related disorders was investigated by a family based association analysis of two independently ascertained family samples comprising 540 and 424 individuals from 135 and 100 families, respectively. Ten...... affected individuals from families showing evidence of linkage to Xp22 were screened for sequence variations in TLR7 and 8, and nine single nucleotide polymorphisms (SNPs) identified were tested for association. RESULTS: In both samples, significant associations were observed for single SNPs and haplotypes...

  2. Association analysis identifies TLR7 and TLR8 as novel risk genes in asthma and related disorders

    DEFF Research Database (Denmark)

    Møller-Larsen, Steffen; Nyegaard, Mette; Haagerup, Annette;

    2008-01-01

    BACKGROUND: Toll-like receptors (TLRs) are structurally and functionally related and play important roles in the innate and adaptive immune system. By genome scanning, we have previously obtained evidence of linkage between chromosome Xp22 and asthma and related atopic disorders. Xp22 harbours the...... TLR7 and TLR8 genes. METHODS: We investigated the involvement of TLR7 and TLR8 in the aetiology of asthma and related disorders by a family based association analysis of two independently ascertained family samples comprising 540 and 424 individuals from 135 and 100 families, respectively. Ten...... affected individuals from families showing evidence of linkage to Xp22 were screened for sequence variations in TLR7 and 8, and 9 single nucleotide polymorphisms (SNPs) identified were tested for association. RESULTS: In both samples, significant associations were observed for single SNPs and haplotypes of...

  3. Synergistic Stimulation with Different TLR7 Ligands Modulates Gene Expression Patterns in the Human Plasmacytoid Dendritic Cell Line CAL-1

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    Hilbert, Tobias; Steinhagen, Folkert; Weisheit, Christina; Baumgarten, Georg; Hoeft, Andreas; Klaschik, Sven

    2015-01-01

    Objective. TLR7 ligation in plasmacytoid dendritic cells is promising for the treatment of cancer, allergy, and infectious diseases; however, high doses of ligands are required. We hypothesized that the combination of structurally different TLR7 ligands exponentiates the resulting immune response. Methods. CAL-1 (human pDC line) cells were incubated with the TLR7-specific adenine analog CL264 and single-stranded 9.2s RNA. Protein secretion was measured by ELISA. Microarray technique was used to detect modified gene expression patterns upon synergistic stimulation, revealing underlying functional groups and networks. Cell surface binding properties were studied using FACS analysis. Results. CL264 in combination with 9.2s RNA significantly enhanced cytokine and interferon secretion to supra-additive levels. This effect was due to a stronger stimulation of already regulated genes (by monostimulation) as well as to recruitment of thus far unregulated genes. Top scoring canonical pathways referred to immune-related processes. Network analysis revealed IL-1β, IL-6, TNF, and IFN-β as major regulatory nodes, while several minor regulatory nodes were also identified. Binding of CL264 to the cell surface was enhanced by 9.2s RNA. Conclusion. Structurally different TLR7 ligands act synergistically on gene expression patterns and on the resulting inflammatory response. These data could impact future strategies optimizing TLR7-targeted drug design. PMID:26770023

  4. The TLR7 agonist imiquimod induces bronchodilation via a nonneuronal TLR7-independent mechanism: a possible role for quinoline in airway dilation.

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    Larsson, Olivia J; Manson, Martijn L; Starkhammar, Magnus; Fuchs, Barbara; Adner, Mikael; Kumlien Georén, Susanna; Cardell, Lars-Olaf

    2016-06-01

    Toll-like receptor (TLR) 7 agonists are known to reduce allergic airway inflammation. Their recently reported ability to rapidly relax airways has further increased their interest in the treatment of pulmonary disease. However, the mechanisms behind this effect are not fully understood. The present study, therefore, aimed to determine whether airway smooth muscle (ASM)-dependent mechanisms could be identified. TLR7 agonists were added to guinea pig airways following precontraction with carbachol in vitro or histamine in vivo. Pharmacological inhibitors were used to dissect conventional pathways of bronchodilation; tetrodotoxin was used or bilateral vagotomy was performed to assess neuronal involvement. Human ASM cells (HASMCs) were employed to determine the effect of TLR7 agonists on intracellular Ca(2+) ([Ca(2+)]i) mobilization. The well-established TLR7 agonist imiquimod rapidly relaxed precontracted airways in vitro and in vivo. This relaxation was demonstrated to be independent of nitric oxide, carbon monoxide, and cAMP signaling, as well as neuronal activity. A limited role for prostanoids could be detected. Imiquimod induced [Ca(2+)]i release from endoplasmic reticulum stores in HASMCs, inhibiting histamine-induced [Ca(2+)]i The TLR7 antagonist IRS661 failed to inhibit relaxation, and the structurally dissimilar agonist CL264 did not relax airways or inhibit [Ca(2+)]i This study shows that imiquimod acts directly on ASM to induce bronchorelaxation, via a TLR7-independent release of [Ca(2+)]i The effect is paralleled by other bronchorelaxant compounds, like chloroquine, which, like imiquimod, but unlike CL264, contains the chemical structure quinoline. Compounds with quinoline moieties may be of interest in the development of multifunctional drugs to treat pulmonary disease. PMID:27084847

  5. Polymorphisms of TLR7 and TLR8 associated with risk of asthma and asthma-related phenotypes in a southeastern Chinese Han population

    Institute of Scientific and Technical Information of China (English)

    Qian Zhang; Fenhong Qian; Linfu Zhou; Guozhen Wei; Ying Wang; Zhibin Hu; Guangfu Jin; Jianling Bai; Kaisheng Yin

    2009-01-01

    Objective:To evaluate the effects of polymorphisms in TLR7 and TLR8(as potential candidate genes) on asthma risk and asthma-related phenotypes.Methods:We consecutively recruited 318 unrelated adult asthmatic patients and 352 healthy volunteers from the same area of southeast China.Genotyping of each selected SNP was performed using multiplex PCR in conjunction with tagged array single base extension technology.We conducted case-control and case-only association studies between the selected SNPs in TLR7 and TLR8 and asthma or asthma-related phenotypes.Results:The T allele of rs5935436 SNP in TLR7 was protective from developing asthma in males (adjusted ORs=0.126,95% CIs=0.016-0.995).The CT/TT genotype of rs5935436 was less frequent in female asthmatics with allergic rhinitis (adjusted ORs=0.18,95% CIs=0.04-0.90).The homozygote AA of rs3761623 and GG of rs3764880 were positively associated with lower FEV1% and asthma severity in female asthmatics.These results were confirmed by haplotype analysis.Conclusion:TLR7 and TLR8 polymorphisms may play an important role in the pathogenesis of asthma that is gender-dependent.This could be clinically useful,both for identifying patients at risk of asthma and for preventing its occurrence.

  6. Structure Based Modeling of Small Molecules Binding to the TLR7 by Atomistic Level Simulations

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    Francesco Gentile

    2015-05-01

    Full Text Available Toll-Like Receptors (TLR are a large family of proteins involved in the immune system response. Both the activation and the inhibition of these receptors can have positive effects on several diseases, including viral pathologies and cancer, therefore prompting the development of new compounds. In order to provide new indications for the design of Toll-Like Receptor 7 (TLR7-targeting drugs, the mechanism of interaction between the TLR7 and two important classes of agonists (imidazoquinoline and adenine derivatives was investigated through docking and Molecular Dynamics simulations. To perform the computational analysis, a new model for the dimeric form of the receptors was necessary and therefore created. Qualitative and quantitative differences between agonists and inactive compounds were determined. The in silico results were compared with previous experimental observations and employed to define the ligand binding mechanism of TLR7.

  7. Identification and Immune Functional Characterization of Pigeon TLR7

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    Dan Xiong

    2015-04-01

    Full Text Available Toll-like receptor 7 (TLR7 is activated by single-stranded RNA and synthetic imidazoquinoline components, and induces interferon production. In this study, we cloned the TLR7 gene from King pigeon (Columba livia. The TLR7 open reading frame is 3144 bp and encodes a 1047-amino acid protein, consisting of a canonical TLR composition with 15 leucine-rich repeats (LRRs. Amino acid-inserting modifications were found at position 15 of LRR2, LRR11, LRR13, and LRR14 and position 10 of LRR10. The tissue distribution of pigeon TLR7 suggests that immune-associated tissues, especially the spleen and liver, have high TLR7 expression. HEK293T cells transfected with pigeon TLR7 plasmid responded to the agonist R848, indicating a functional TLR7 homolog. Following R848 stimulation of pigeon peripheral blood mononuclear cells, the levels of IFN-γ, IL-6, IL-8, CCL5, and IL-10 mRNA, assessed using quantitative real-time PCR, were significantly up-regulated. After Newcastle disease virus vaccine strain LaSota inoculation and agonist R848 injection, the level of TLR7 mRNA in the spleen of pigeons increased significantly in the R848-injected group, but decreased in the LaSota-inoculated group at three day post-infection (d.p.i.. The mRNA levels of inflammatory cytokines and chemokines were significantly upregulated in both LaSota-inoculated and R848-injected groups. Triggering pigeon TLR7 leads to robust up-regulation of inflammatory cytokines and chemokines, suggesting an important role in the innate immune response.

  8. Association of TLR7 variants with AIDS-like disease and AIDS vaccine efficacy in rhesus macaques.

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    Roman A Siddiqui

    Full Text Available In HIV infection, TLR7-triggered IFN-α production exerts a direct antiviral effect through the inhibition of viral replication, but may also be involved in immune pathogenesis leading to AIDS. TLR7 could also be an important mediator of vaccine efficacy. In this study, we analyzed polymorphisms in the X-linked TLR7 gene in the rhesus macaque model of AIDS. Upon resequencing of the TLR7 gene in 36 rhesus macaques of Indian origin, 12 polymorphic sites were detected. Next, we identified three tightly linked single nucleotide polymorphisms (SNP as being associated with survival time. Genotyping of 119 untreated, simian immunodeficiency virus (SIV-infected male rhesus macaques, including an 'MHC adjusted' subset, revealed that the three TLR7 SNPs are also significantly associated with set-point viral load. Surprisingly, this effect was not observed in 72 immunized SIV-infected male monkeys. We hypothesize (i that SNP c.13G>A in the leader peptide is causative for the observed genotype-phenotype association and that (ii the underlying mechanism is related to RNA secondary structure formation. Therefore, we investigated a fourth SNP (c.-17C>T, located 17 bp upstream of the ATG translation initiation codon, that is also potentially capable of influencing RNA structure. In c.13A carriers, neither set-point viral load nor survival time were related to the c.-17C>T genotype. In c.13G carriers, by contrast, the c.-17C allele was significantly associated with prolonged survival. Again, no such association was detected among immunized SIV-infected macaques. Our results highlight the dual role of TLR7 in immunodeficiency virus infection and vaccination and imply that it may be important to control human AIDS vaccine trials, not only for MHC genotype, but also for TLR7 genotype.

  9. TLR7 is required for optimal immune defense against bacterial infection in tongue sole (Cynoglossus semilaevis).

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    Li, Xue-peng; Sun, Li

    2015-11-01

    In mammals as well as in teleost, toll-like receptor 7 (TLR7) is known to be involved in antiviral immunity by recognizing viral RNA. However, the antibacterial potential of fish TLR7 is unclear. In this study, we analyzed the TLR7 of tongue sole (Cynoglossus semilaevis), CsTLR7, and examined its potential involvement in antibacterial immunity. CsTLR7 is composed of 1052 amino acid residues and shares 64.0%-75.9% overall sequence identities with known teleost TLR7. CsTLR7 possesses a toll/interleukin-1 receptor domain and six leucine-rich repeats. Constitutive expression of CsTLR7 occurred in relatively high levels in kidney, spleen and liver. Bacterial infection upregulated CsTLR7 expression, whereas viral infection downregulated CsTLR7 expression. Knockdown of CsTLR7 significantly enhanced bacterial dissemination in the tissues of tongue sole. Treatment of tongue sole with the imidazoquinoline compound R848 (TLR7 activator) and the endosomal acidification inhibitor chloroquine (TLR7 inhibitor) caused enhanced and reduced resistance against bacterial infection respectively. These results indicate that CsTLR7 plays an essential role in the antibacterial immunity of tongue sole. PMID:26327112

  10. Btk inhibition treats TLR7/IFN driven murine lupus.

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    Bender, Andrew T; Pereira, Albertina; Fu, Kai; Samy, Eileen; Wu, Yin; Liu-Bujalski, Lesley; Caldwell, Richard; Chen, Yi-Ying; Tian, Hui; Morandi, Federica; Head, Jared; Koehler, Ursula; Genest, Melinda; Okitsu, Shinji L; Xu, Daigen; Grenningloh, Roland

    2016-03-01

    Bruton's tyrosine kinase (Btk) is expressed in a variety of immune cells and previous work has demonstrated that blocking Btk is a promising strategy for treating autoimmune diseases. Herein, we utilized a tool Btk inhibitor, M7583, to determine the therapeutic efficacy of Btk inhibition in two mouse lupus models driven by TLR7 activation and type I interferon. In BXSB-Yaa lupus mice, Btk inhibition reduced autoantibodies, nephritis, and mortality. In the pristane-induced DBA/1 lupus model, Btk inhibition suppressed arthritis, but autoantibodies and the IFN gene signature were not significantly affected; suggesting efficacy was mediated through inhibition of Fc receptors. In vitro studies using primary human macrophages revealed that Btk inhibition can block activation by immune complexes and TLR7 which contributes to tissue damage in SLE. Overall, our results provide translational insight into how Btk inhibition may provide benefit to a variety of SLE patients by affecting both BCR and FcR signaling. PMID:26821304

  11. Novel adjuvant Alum-TLR7 significantly potentiates immune response to glycoconjugate vaccines

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    Buonsanti, Cecilia; Balocchi, Cristiana; Harfouche, Carole; Corrente, Federica; Galli Stampino, Luisa; Mancini, Francesca; Tontini, Marta; Malyala, Padma; Bufali, Simone; Baudner, Barbara; De Gregorio, Ennio; Valiante, Nicholas M.; O’Hagan, Derek T.; Rappuoli, Rino; D’Oro, Ugo

    2016-01-01

    Although glycoconjugate vaccines are generally very efficacious, there is still a need to improve their efficacy, especially in eliciting a strong primary antibody response. We have recently described a new type of vaccine adjuvant based on a TLR7 agonist adsorbed to alum (Alum-TLR7), which is highly efficacious at enhancing immunogenicity of protein based vaccines. Since no adjuvant has been shown to potentiate the immune response to glycoconjugate vaccines in humans, we investigated if Alum-TLR7 is able to improve immunogenicity of this class of vaccines. We found that in a mouse model Alum-TLR7 greatly improved potency of a CRM197-MenC vaccine increasing anti-MenC antibody titers and serum bactericidal activity (SBA) against MenC compared to alum adjuvanted vaccine, especially with a low dose of antigen and already after a single immunization. Alum-TLR7 also drives antibody response towards Th1 isotypes. This adjuvant was also able to increase immunogenicity of all polysaccharides of a multicomponent glycoconjugate vaccine CRM197-MenACWY. Furthermore, we found that Alum-TLR7 increases anti-polysaccharide immune response even in the presence of a prior immune response against the carrier protein. Finally, we demonstrate that Alum-TLR7 adjuvant effect requires a functional TLR7. Taken together, our data support the use of Alum-TLR7 as adjuvant for glycoconjugate vaccines. PMID:27439378

  12. Asparagine endopeptidase controls anti-influenza virus immune responses through TLR7 activation.

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    Sophia Maschalidi

    Full Text Available Intracellular Toll-like receptors (TLRs expressed by dendritic cells recognize nucleic acids derived from pathogens and play an important role in the immune responses against the influenza virus (IAV, a single-stranded RNA sensed by different receptors including TLR7. However, the importance of TLR7 processing in the development of anti-viral immune responses is not known. Here we report that asparagine endopeptidase (AEP deficient mice are unable to generate a strong anti-IAV response, as demonstrated by reduced inflammation, cross presentation of cell-associated antigens and priming of CD8(+ T cells following TLR7-dependent pulmonary infection induced by IAV. Moreover, AEP deficient lung epithelial- or myeloid-cells exhibit impaired TLR7 signaling due to defective processing of this receptor. Indeed, TLR7 requires a proteolytic cleavage by AEP to generate a C-terminal fragment competent for signaling. Thus, AEP activity is critical for TLR7 processing, opening new possibilities for the treatment of influenza and TLR7-dependent inflammatory diseases.

  13. Asparagine endopeptidase controls anti-influenza virus immune responses through TLR7 activation.

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    Maschalidi, Sophia; Hässler, Signe; Blanc, Fany; Sepulveda, Fernando E; Tohme, Mira; Chignard, Michel; van Endert, Peter; Si-Tahar, Mustapha; Descamps, Delphyne; Manoury, Bénédicte

    2012-01-01

    Intracellular Toll-like receptors (TLRs) expressed by dendritic cells recognize nucleic acids derived from pathogens and play an important role in the immune responses against the influenza virus (IAV), a single-stranded RNA sensed by different receptors including TLR7. However, the importance of TLR7 processing in the development of anti-viral immune responses is not known. Here we report that asparagine endopeptidase (AEP) deficient mice are unable to generate a strong anti-IAV response, as demonstrated by reduced inflammation, cross presentation of cell-associated antigens and priming of CD8(+) T cells following TLR7-dependent pulmonary infection induced by IAV. Moreover, AEP deficient lung epithelial- or myeloid-cells exhibit impaired TLR7 signaling due to defective processing of this receptor. Indeed, TLR7 requires a proteolytic cleavage by AEP to generate a C-terminal fragment competent for signaling. Thus, AEP activity is critical for TLR7 processing, opening new possibilities for the treatment of influenza and TLR7-dependent inflammatory diseases. PMID:22916010

  14. Comparison of human B cell activation by TLR7 and TLR9 agonists

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    Neys Lori

    2008-07-01

    Full Text Available Abstract Background Human B cells and plasmacytoid dendritic cells (pDC are the only cells known to express both TLR7 and TLR9. Plasmacytoid dendritic cells are the primary IFN-α producing cells in response to TLR7 and TLR9 agonists. The direct effects of TLR7 stimulation on human B cells is less understood. The objective of this study was to compare the effects of TLR7 and TLR9 stimulation on human B cell function. Results Gene expression and protein production of cytokines, chemokines, various B cell activation markers, and immunoglobulins were evaluated. Purified human CD19+ B cells (99.9%, containing both naïve and memory populations from peripheral blood were stimulated with a TLR7-selective agonist (852A, TLR7/8 agonist (3M-003, or TLR9 selective agonist CpG ODN (CpG2006. TLR7 and TLR9 agonists similarly modulated the expression of cytokine and chemokine genes (IL-6, MIP1 alpha, MIP1 beta, TNF alpha and LTA, co-stimulatory molecules (CD80, CD40 and CD58, Fc receptors (CD23, CD32, anti-apoptotic genes (BCL2L1, certain transcription factors (MYC, TCFL5, and genes critical for B cell proliferation and differentiation (CD72, IL21R. Both agonists also induced protein expression of the above cytokines and chemokines. Additionally, TLR7 and TLR9 agonists induced the production of IgM and IgG. A TLR8-selective agonist was comparatively ineffective at stimulating purified human B cells. Conclusion These results demonstrate that despite their molecular differences, the TLR7 and TLR9 agonists induce similar genes and proteins in purified human B cells.

  15. The TIR-domain containing adaptor TRAM is required for TLR7 mediated RANTES production.

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    Enda Shevlin

    Full Text Available Toll-like receptor 7 (TLR7 plays a vital role in the immune response to ssRNA viruses such as human rhinovirus (HRV and Influenza, against which there are currently no treatments or vaccines with long term efficacy available. Clearly, a more comprehensive understanding of the TLR7 signaling axis will contribute to its molecular targeting. TRIF related adaptor molecule (TRAM plays a vital role in TLR4 signaling by recruiting TRIF to TLR4, followed by endosomal trafficking of the complex and initiation of IRF3 dependent type I interferon production as well as NF-κB dependent pro-inflammatory cytokine production. Towards understanding the molecular mechanisms that regulate TLR7 functionality, we found that TRAM(-/- murine macrophages exhibited a transcriptional and translational impairment in TLR7 mediated RANTES, but not TNFα, production. Suppression of TRAM expression in human macrophages also resulted in an impairment in TLR7 mediated CCL5 and IFN-β, but not TNFα, gene induction. Furthermore, suppression of endogenous human TRAM expression in human macrophages significantly impaired RV16 induced CCL5 and IFNβ, but not TNFα gene induction. Additionally, TRAM-G2A dose-dependently inhibited TLR7 mediated activation of CCL5, IFNβ and IFNα reporter genes. TLR7-mediated phosphorylation and nuclear translocation of IRF3 was impaired in TRAM(-/- cells. Finally, co-immunoprecipitation studies indicated that TRAM physically interacts with MyD88 upon TLR7 stimulation, but not under basal conditions. Our results clearly demonstrate that TRAM plays a, hitherto unappreciated, role in TLR7 signaling through a novel signaling axis containing, but not limited to, MyD88, TRAM and IRF3 towards the activation of anti-viral immunity.

  16. Association of TLR7/8 polymorphisms with risk and severity of asthma in Han population of Jiangsu province of China%TLR7/8基因多态性与江苏省汉族人群哮喘发病风险及严重度的关系

    Institute of Scientific and Technical Information of China (English)

    张倩; 钱粉红; 周林福; 韦国桢; 柏建岭; 殷凯生; 施毅

    2013-01-01

    Objective To evaluate the effects of polymorphisms in TLR7 and TLR8 on asthma risk and asthma-related phenotypes in Han population of Jiangsu province of China. Methods We consecutively recruited 318 unrelated adult asthmatic patients and 352 healthy volunteers of Han population from the same area in Jiangsu province. Genotyping of the selected SNPs, TLR7 rs5935436, TLR8 rs3761623 and rs3764880 was performed using multiplex PCR combined with tagged array single base extension technology (SNPstream). Total IgG level in serum was determined by ELISA. We conducted case-control and case-only association studies between the selected SNPs in TLR7 and TLR8 and asthma or asthma-related phenotypes. Results The T allele of rs5935436 SNP in TLR7 was a protective factor for males in developing asthma (adjusted OR=0. 126, 95% CI = 0.016-0.995, P=0.049). The G allele of the rs3761623 appeared more frequently in male asthmatics without allergic rhinitis (adjusted OR = 3. 782, 95% CI= 1. 022-14. 045, P = 0.047), while the CT/TT genotype of the rs5935436 appeared less frequently in female asthmatics with allergic rhinitis (adjusted OR =0. 180, 95%CI = 0. 041-0. 902, P =0. 037). The homozygote AA of rs3761623 and GG of rs3764880 were positively associated with lower FEV1% and asthma severity in female asthmatics. These results were confirmed by haplotype analysis. Conclusion TLR7/8 polymorphisms may play an important role in the pathogenesis of asthma, which is gender-dependent. This could be clinically useful to identify patients at risk of asthma and prevent the occurrence of asthma.%目的 探讨Toll样受体7、8(TLR7/8)单核苷酸多态性在江苏省汉族人群中与哮喘发病危险性和哮喘相关表型的关系.方法 收集哮喘患者318例为哮喘组,正常人352例为对照组.挑选TLR7 rs5935436,TLR8rs3761623和rs3764880三个多态位点,采用多重PCR结合标签阵列单碱基技术(SNPstream)进行基因分型.采用ELISA法

  17. CD14+ cells are required for IL-12 response in bovine blood mononuclear cells activated with Toll-like receptor (TLR) 7 and TLR8 ligands.

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    Buza, Joram; Benjamin, Ponn; Zhu, Jianzhung; Wilson, Heather L; Lipford, Grayson; Krieg, Arthur M; Babiuk, Lorne A; Mutwiri, George K

    2008-12-15

    Single-stranded viral RNA (ssRNA) was recently identified as the natural ligand for TLR7 and TLR8. ssRNA sequences from viruses, as well as their synthetic analogues stimulate innate immune responses in immune cells from humans and mice, but their immunostimulatory activity has not been investigated in ruminants. In the present investigations, we tested whether synthetic RNA oligoribonucleotides (ORN) can activate immune cells from cattle. In vitro incubation of bovine peripheral blood mononuclear cells (PBMCs) with ORN-induced production of IL-12, IFN-gamma and TNF-alpha. No significant induction of IFN-alpha was observed. Depletion of CD14+ cells from PBMC abrogated the IL-12 response and consequently the IFN-gamma response, suggesting that CD14+ cells are required for PBMC immune activation with ORN. Consistent with these findings, the putative receptors for ORN (TLR7 and TLR8) were expressed at higher levels in the CD14+ fraction than the CD14- PBMC fraction. Pre-treatment of PBMC with bafilomycin (an inhibitor of phagosomal acidification) prior to stimulation with ORN abolished the cytokine responses, confirming that the receptor(s) which mediate the ORN-induced responses are intracellular. These results demonstrate for the first time that the TLR7/8 agonist ORN's have strong immune stimulatory effects in cattle, and suggest that further investigation on the potential of TLR7/8 ligands to activate innate and adaptive immune responses in domestic animals are warranted. PMID:18789542

  18. A modified dinucleotide motif specifies tRNA recognition by TLR7

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    Kaiser, Steffen; Rimbach, Katharina; Eigenbrod, Tatjana; Dalpke, Alexander H.; Helm, Mark

    2014-01-01

    Innate sensing of DNA or RNA molecules comes with the great risk of autoimmune response and is, therefore, tightly controlled. This paper describes why some tRNAs activate TLR7, whereas others do not.

  19. Monocyte targeting and activation by cationic liposomes formulated with a TLR7 agonist

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    Johansen, Pia Thermann; Zucker, Daniel; Parhamifar, Ladan;

    2015-01-01

    induction of IL-6 and IL-12p40, and differentiation into CD14+ and DC-SIGN+ DCs.Conclusion: Our present liposomes selectively target monocytes in fresh blood, enabling delivery of TLR7 agonists to the intracellular TLR7 receptor, with subsequent monocyte activation and boost in secretion of proinflammatory...... surface chemistry.Methods: Liposomes were extruded at 100 nm, incubated with fresh blood, followed by leukocyte analyses by FACS. Liposomes with and without the TLR7 agonist TMX-202 were incubated with fresh blood, and monocyte activation measured by cytokine secretion by ELISA and CD14 and DC......-SIGN expression.Results: The liposonnes target nnonocytes specifically over lymphocytes and granulocytes in human whole blood, and show association with 75 - 95% of the nnonocytes after 1 h incubation. Formulations of TMX-202 in cationic liposomes were potent in targeting and activation of monocytes, with strong...

  20. Guanosine and its modified derivatives are endogenous ligands for TLR7.

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    Shibata, Takuma; Ohto, Umeharu; Nomura, Shosaku; Kibata, Kayoko; Motoi, Yuji; Zhang, Yan; Murakami, Yusuke; Fukui, Ryutaro; Ishimoto, Tatsushi; Sano, Shigetoshi; Ito, Tomoki; Shimizu, Toshiyuki; Miyake, Kensuke

    2016-05-01

    Toll-like receptor (TLR) 7and 8 were considered to recognize single-strand RNA (ssRNA) from viruses. Although these receptors also respond to synthetic small chemical ligands, such as CL075 and R848, it remains to be determined whether these receptors sense natural small molecules or not. In the structure of human TLR8 (huTLR8) with ssRNA, there are two ligand-binding sites: one binds a uridine and the other binds an oligoribonucleotide (ORN). This finding demonstrates that huTLR8 recognizes degradation products of ssRNA, suggesting the presence of natural small ligands. We here show that TLR7 works as the sensor for guanosine (G)/2'-deoxyguanosine (dG) in the presence of ORN where ORN strengthens TLR7 interaction with G/dG. In addition, modified nucleosides such as 7-methylguanosine, 8-hydroxyguanosine (8-OHG) and 8-hydroxydeoxyguanosine (8-OHdG) activated TLR7 with ORNs. Importantly, 8-OHdG-a well-known oxidative DNA damage marker with unknown function-induced strong cytokine production comparable to G and dG both in mouse and human immune cells. Although 8-OHdG bound TLR7/ORN with lower affinity than dG did in isothermal titration calorimetry, administered 8-OHdG was metabolically more stable than dG in the serum, indicating that 8-OHdG acts on TLR7 as an endogenous ligand in vivo To address a role of G analogs in the disease state, we also examined macrophages from Unc93b1 (D34A/D34A) mice, which suffer from TLR7-dependent systemic inflammation, and found that Unc93b1 (D34A/D34A) macrophages showed significantly enhanced response to G alone or 8-OHdG with ORN. In conclusion, our results provide evidence that G, dG, 8-OHG and 8-OHdG are novel endogenous ligands for TLR7. PMID:26489884

  1. New TLR7 agonists with improved humoral and cellular immune responses.

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    Upchurch, Katherine C; Boquín, José R; Yin, Wenjie; Xue, Yaming; Joo, HyeMee; Kane, Robert R; Oh, SangKon

    2015-11-01

    Toll-like receptor 7 (TLR7) agonists are of interest as vaccine adjuvants and cancer therapeutics. Therefore, development of new TLR7 agonists that can efficiently promote host immune responses without evoking side effects is of great importance. Here, we describe two new compounds, J4 and F4, which elicit intracellular signaling exclusively via TLR7. Interestingly, both J4 and F4 induced less cytokine secretion (IL-1β, IL-6, IL-10, IL-12p40, TNFα, and IL-12p70) from myeloid dendritic cells (mDCs) and monocytes than CL075 and R848; however, they all generated similar levels of phenotype maturation of antigen presenting cells (APCs), including plasmacytoid DCs. We further found that J4- and F4-induced APC activation was largely dependent on the activation of NF-κB and p38. Lastly, J4 and F4 could efficiently promote B cell proliferation and plasmablast differentiation as well as antigen-specific CD8(+) T cell responses in human in vitro. Therefore, these new TLR7 agonists could be employed to facilitate the development of new therapeutics and vaccine adjuvants against cancers and microbial infections. PMID:26381186

  2. Poly-thymidine oligonucleotides mediate activation of murine glial cells primarily through TLR7, not TLR8.

    Directory of Open Access Journals (Sweden)

    Min Du

    Full Text Available The functional role of murine TLR8 in the inflammatory response of the central nervous system (CNS remains unclear. Murine TLR8 does not appear to respond to human TLR7/8 agonists, due to a five amino acid deletion in the ectodomain. However, recent studies have suggested that murine TLR8 may be stimulated by alternate ligands, which include vaccinia virus DNA, phosphothioate oligodeoxynucleotides (ODNs or the combination of phosphothioate poly-thymidine oligonucleotides (pT-ODNs with TLR7/8 agonists. In the current study, we analyzed the ability of pT-ODNs to induce activation of murine glial cells in the presence or absence of TLR7/8 agonists. We found that TLR7/8 agonists induced the expression of glial cell activation markers and induced the production of multiple proinflammatory cytokines and chemokines in mixed glial cultures. In contrast, pT-ODNs alone induced only low level expression of two cytokines, CCL2 and CXCL10. The combination of pT-ODNs along with TLR7/8 agonists induced a synergistic response with substantially higher levels of proinflammatory cytokines and chemokines compared to CL075. This enhancement was not due to cellular uptake of the agonist, indicating that the pT-ODN enhancement of cytokine responses was due to effects on an intracellular process. Interestingly, this response was also not due to synergistic stimulation of both TLR7 and TLR8, as the loss of TLR7 abolished the activation of glial cells and cytokine production. Thus, pT-ODNs act in synergy with TLR7/8 agonists to induce strong TLR7-dependent cytokine production in glial cells, suggesting that the combination of pT-ODNs with TLR7 agonists may be a useful mechanism to induce pronounced glial activation in the CNS.

  3. Expression and significance of TLR7and AP-1 in basal cell carcinoma%TLR7和AP-1在基底细胞癌中的表达及意义

    Institute of Scientific and Technical Information of China (English)

    邓妮; 高永良; 赵恒光

    2013-01-01

    Objective :To investigate the expression of TLR7 and AP - 1 in basal cell carcinoma , and to explore their possibilities of occurrence and development .Method The expression of TLR7 and AP -1 were detected in 30 cases of basal cell carcinoma and 26 cases of normal tissue .Specimens were detected by immunohistochemistry .Result Immunohistochemistry showed that TLR 7 and AP-1 were both highly expressed in tumor tissue (P 0 .05) .Conclusion TLR7 and AP -1 were highly expressed in basal cell carcinoma ,and their expression level was significant positive correlation .These results suggested the TLR7 and AP -1 gene may play important roles in basal cell carcinoma occurrence and development .%提目的:观察基底细胞癌中TLR7和AP-1蛋白的表达,探讨二者与基底细胞癌发生发展的关系。方法:收集基底细胞癌患者皮损30例及正常人皮肤组织26例,采用免疫组织化学法检测癌组织中TLR7和AP-1蛋白的表达水平;分析TLR7和AP-1在基底细胞癌中的表达水平以及二者之间的相互关系。结果:TLR7和AP-1在癌组织中表达均较正常皮肤组织高(P<0.05),表达水平与性别、年龄均无差异( P>0.05);TLR7和AP-1在基底细胞癌中的蛋白表达水平成明显正相关(r=0.78,p<0.01)。结论:TLR7和AP -1蛋白在基底细胞癌中高表达,且二者的表达水平呈明显正相关;TLR7和AP-1可能与基底细胞癌的发生发展有关。

  4. Treatment of autoimmune inflammation by a TLR7 ligand regulating the innate immune system.

    Directory of Open Access Journals (Sweden)

    Tomoko Hayashi

    Full Text Available The Toll-like receptors (TLR have been advocated as attractive therapeutic targets because TLR signaling plays dual roles in initiating adaptive immune responses and perpetuating inflammation. Paradoxically, repeated stimulation of bone marrow mononuclear cells with a synthetic TLR7 ligand 9-benzyl-8-hydroxy-2-(2-methoxyethoxy adenine (called 1V136 leads to subsequent TLR hyporesponsiveness. Further studies on the mechanism of action of this pharmacologic agent demonstrated that the TLR7 ligand treatment depressed dendritic cell activation, but did not directly affect T cell function. To verify this mechanism, we utilized experimental allergic encephalitis (EAE as an in vivo T cell dependent autoimmune model. Drug treated SJL/J mice immunized with proteolipid protein (PLP(139-151 peptide had attenuated disease severity, reduced accumulation of mononuclear cells in the central nervous system (CNS, and limited demyelination, without any apparent systemic toxicity. Splenic T cells from treated mice produced less cytokines upon antigenic rechallenge. In the spinal cords of 1V136-treated EAE mice, the expression of chemoattractants was also reduced, suggesting innate immune cell hyposensitization in the CNS. Indeed, systemic 1V136 did penetrate the CNS. These experiments indicated that repeated doses of a TLR7 ligand may desensitize dendritic cells in lymphoid organs, leading to diminished T cell responses. This treatment strategy might be a new modality to treat T cell mediated autoimmune diseases.

  5. TLR7 Gln11Leu single nucleotide polymorphism and susceptibility to cutaneous melanoma

    Science.gov (United States)

    ELEFANTI, LISA; SACCO, GIORGIA; STAGNI, CAMILLA; RASTRELL, MARCO; MENIN, CHIARA; RUSSO, IRENE; ALAIBAC, MAURO

    2016-01-01

    Cutaneous melanoma is a life-threatening skin cancer. Its incidence is rapidly increasing, and early diagnosis is the main factor able to improve its poor prognosis. Toll-like receptors (TLRs) are transmembrane glycoproteins that recognize pathogen- and damage-associated molecular patterns, against which TLRs activate the innate immune response and initiate the adaptive immune response. Genetic variations of these receptors may alter the immune system, and are involved in evolution and susceptibility to various diseases, including cancer. The aim of the present study was to evaluate whether the presence of TLR7 glutamine (Gln) 11 leucine (Leu) polymorphism confers an increased susceptibility to cutaneous melanoma. For that purpose, a case-control study was performed with 182 melanoma cases and 89 controls. To highlight the possible association between the aforementioned polymorphism and the susceptibility to melanoma, 93 cases of single melanoma and 89 cases of multiple primary melanoma (MPM) were compared in the present study. Since the TLR7 gene is localized on the chromosome X, the allelic frequency of the Gln11Leu polymorphism was analyzed separately in males and females. The distribution of allele frequencies between melanoma cases and controls (P=0.245) and between single melanoma and MPM cases (P=0.482) was not significant. Therefore, the present results do not suggest an association between TLR7 Gln11Leu polymorphism and susceptibility to cutaneous melanoma. Further studies are required to analyze the influence of other TLR polymorphisms on the susceptibility to malignant melanoma and the involvement of innate immunity in this malignancy. PMID:27347137

  6. SARS Coronavirus Papain-Like Protease Inhibits the TLR7 Signaling Pathway through Removing Lys63-Linked Polyubiquitination of TRAF3 and TRAF6

    Directory of Open Access Journals (Sweden)

    Shih-Wen Li

    2016-05-01

    Full Text Available Severe acute respiratory syndrome coronavirus (SARS-CoV papain-like protease (PLPro reportedly inhibits the production of type I interferons (IFNs and pro-inflammatory cytokines in Toll-like receptor 3 (TLR3 and retinoic acid-inducible gene 1 (RIG-I pathways. The study investigated the inhibitory effect and its antagonistic mechanism of SARS-CoV PLPro on TLR7-mediated cytokine production. TLR7 agonist (imiquimod (IMQ concentration-dependently induced activation of ISRE-, NF-κB- and AP-1-luciferase reporters, as well as the production of IFN-α, IFN-β, TNF-α, IL-6 and IL-8 in human promonocyte cells. However, SARS-CoV PLPro significantly inhibited IMQ-induced cytokine production through suppressing the activation of transcription factors IRF-3, NF-κB and AP-1. Western blot analysis with anti-Lys48 and anti-Lys63 ubiquitin antibodies indicated the SARS-CoV PLPro removed Lys63-linked ubiquitin chains of TRAF3 and TRAF6, but not Lys48-linked ubiquitin chains in un-treated and treated cells. The decrease in the activated state of TRAF3 and TRAF6 correlated with the inactivation of TBK1 in response to IMQ by PLPro. The results revealed that the antagonism of SARS-CoV PLPro on TLR7-mediated innate immunity was associated with the negative regulation of TRAF3/6-TBK1-IRF3/NF-κB/AP1 signals.

  7. SARS Coronavirus Papain-Like Protease Inhibits the TLR7 Signaling Pathway through Removing Lys63-Linked Polyubiquitination of TRAF3 and TRAF6.

    Science.gov (United States)

    Li, Shih-Wen; Wang, Ching-Ying; Jou, Yu-Jen; Huang, Su-Hua; Hsiao, Li-Hsin; Wan, Lei; Lin, Ying-Ju; Kung, Szu-Hao; Lin, Cheng-Wen

    2016-01-01

    Severe acute respiratory syndrome coronavirus (SARS-CoV) papain-like protease (PLPro) reportedly inhibits the production of type I interferons (IFNs) and pro-inflammatory cytokines in Toll-like receptor 3 (TLR3) and retinoic acid-inducible gene 1 (RIG-I) pathways. The study investigated the inhibitory effect and its antagonistic mechanism of SARS-CoV PLPro on TLR7-mediated cytokine production. TLR7 agonist (imiquimod (IMQ)) concentration-dependently induced activation of ISRE-, NF-κB- and AP-1-luciferase reporters, as well as the production of IFN-α, IFN-β, TNF-α, IL-6 and IL-8 in human promonocyte cells. However, SARS-CoV PLPro significantly inhibited IMQ-induced cytokine production through suppressing the activation of transcription factors IRF-3, NF-κB and AP-1. Western blot analysis with anti-Lys48 and anti-Lys63 ubiquitin antibodies indicated the SARS-CoV PLPro removed Lys63-linked ubiquitin chains of TRAF3 and TRAF6, but not Lys48-linked ubiquitin chains in un-treated and treated cells. The decrease in the activated state of TRAF3 and TRAF6 correlated with the inactivation of TBK1 in response to IMQ by PLPro. The results revealed that the antagonism of SARS-CoV PLPro on TLR7-mediated innate immunity was associated with the negative regulation of TRAF3/6-TBK1-IRF3/NF-κB/AP1 signals. PMID:27164085

  8. IL-27 Induced by Select Candida spp. via TLR7/NOD2 Signaling and IFN-β Production Inhibits Fungal Clearance.

    Science.gov (United States)

    Patin, Emmanuel C; Jones, Adam V; Thompson, Aiysha; Clement, Mathew; Liao, Chia-Te; Griffiths, James S; Wallace, Leah E; Bryant, Clare E; Lang, Roland; Rosenstiel, Philip; Humphreys, Ian R; Taylor, Philip R; Jones, Gareth W; Orr, Selinda J

    2016-07-01

    Candida spp. elicit cytokine production downstream of various pathogen recognition receptors, including C-type lectin-like receptors, TLRs, and nucleotide oligomerization domain (NOD)-like receptors. IL-12 family members IL-12p70 and IL-23 are important for host immunity against Candida spp. In this article, we show that IL-27, another IL-12 family member, is produced by myeloid cells in response to selected Candida spp. We demonstrate a novel mechanism for Candida parapsilosis-mediated induction of IL-27 in a TLR7-, MyD88-, and NOD2-dependent manner. Our data revealed that IFN-β is induced by C. parapsilosis, which in turn signals through the IFN-α/β receptor and STAT1/2 to induce IL-27. Moreover, IL-27R (WSX-1)-deficient mice systemically infected with C. parapsilosis displayed enhanced pathogen clearance compared with wild-type mice. This was associated with increased levels of proinflammatory cytokines in the serum and increased IFN-γ and IL-17 responses in the spleens of IL-27R-deficient mice. Thus, our data define a novel link between C. parapsilosis, TLR7, NOD2, IFN-β, and IL-27, and we have identified an important role for IL-27 in the immune response against C. parapsilosis Overall, these findings demonstrate an important mechanism for the suppression of protective immune responses during infection with C. parapsilosis, which has potential relevance for infections with other fungal pathogens. PMID:27259855

  9. Anti-IgE Qb-VLP Conjugate Vaccine Self-Adjuvants through Activation of TLR7

    Directory of Open Access Journals (Sweden)

    Bassel Akache

    2016-01-01

    Full Text Available Qb bacteriophage virus-like particles (Qb-VLP are utilized as carriers to enhance immune responses to weakly or non-immunogenic antigens such as peptides and haptens. Qb-VLPs are formed through the self-assembly of multiple Qb capsid protein monomers, a process which traps a large amount of bacterial RNA in the core of the VLP. Bacterial RNA is known to activate the innate immune system via TLR 7 and 8 found within the endosomes of certain immune cells and has been shown to contribute to the immunogenicity of Qb-VLP vaccines. Herein, we evaluated an anti-IgE vaccine comprised of two IgE peptides (Y and P conjugated to Qb-VLP (Qb-Y and Qb-P, respectively for in vitro stimulation of human PBMCs and in vivo immunogenicity in mice. The in vitro secretion of IFN-α from human PBMCs exposed to Qb-Y is consistent with TLR7 activation. Immunization of mice with the IgE peptide Qb-VLP conjugates induced high titers of anti-IgE antibodies in wild-type mice, but significantly lower titers in TLR7 knockout mice, supporting the self-adjuvanting role of the RNA. Inclusion of alum and alum/CpG as adjuvants partially or completely compensated for the lack of TLR7 activation in TLR7-deficient mice. Our study demonstrates the key role that TLR7 plays in the immunogenicity of the IgE peptide Qb-VLP conjugate vaccine.

  10. Lactate dehydrogenase-elevating virus induces systemic lymphocyte activation via TLR7-dependent IFNalpha responses by plasmacytoid dendritic cells.

    Directory of Open Access Journals (Sweden)

    Christoph G Ammann

    Full Text Available BACKGROUND: Lactate dehydrogenase-elevating virus (LDV is a natural infectious agent of mice. Like several other viruses, LDV causes widespread and very rapid but transient activation of both B cells and T cells in lymphoid tissues and the blood. The mechanism of this activation has not been fully described and is the focus of the current studies. PRINCIPAL FINDINGS: A known inducer of early lymphocyte activation is IFNalpha, a cytokine strongly induced by LDV infection. Neutralization of IFNalpha in the plasma from infected mice ablated its ability to activate lymphocytes in vitro. Since the primary source of virus-induced IFNalpha in vivo is often plasmacytoid dendritic cells (pDC's, we depleted these cells prior to LDV infection and tested for lymphocyte activation. Depletion of pDC's in vivo eradicated both the LDV-induced IFNalpha response and lymphocyte activation. A primary receptor in pDC's for single stranded RNA viruses such as LDV is the toll-like receptor 7 (TLR7 pattern recognition receptor. Infection of TLR7-knockout mice revealed that both the IFNalpha response and lymphocyte activation were dependent on TLR7 signaling in vivo. Interestingly, virus levels in both TLR7 knockout mice and pDC-depleted mice were indistinguishable from controls indicating that LDV is largely resistant to the systemic IFNalpha response. CONCLUSION: Results indicate that LDV-induced activation of lymphocytes is due to recognition of LDV nucleic acid by TLR7 pattern recognition receptors in pDC's that respond with a lymphocyte-inducing IFNalpha response.

  11. Innate immune protection against infectious diseases by pulmonary administration of a phospholipid conjugated TLR7 ligand

    Science.gov (United States)

    Wu, Christina C.N.; Crain, Brian; Yao, Shiyin; Sabet, Mojgan; Lao, Fitzgerald S.; Tawatao, Rommel; Chan, Michael; Smee, Donald F.; Julander, Justin G.; Cottam, Howard B.; Guiney, Donald G.; Corr, Maripat; Carson, Dennis A.; Hayashi, Tomoko

    2013-01-01

    Pulmonary administration of Toll-like receptor (TLR) ligands protects hosts from inhaled pathogens. However, systemic side effects induced by TLR stimulation limit clinical development. Here, a small molecule TLR7 ligand conjugated with phospholipid, 1V270 (also designated TMX201), was tested for innate immune activation and for ability to prevent pulmonary infection in mice. We hypothesized that phospholipid conjugation would increase internalization by immune cells and localize the compound in the lungs, thus, avoiding side effects due to systemic cytokine release. Pulmonary 1V270 administration increased innate cytokines and chemokines in bronchial alveolar lavage fluids, but did not cause systemic induction of cytokines, nor B cell proliferation in distant lymphoid organs. 1V270 activated pulmonary CD11c+ dendritic cells, which migrated to local lymph nodes. However, there was minimal cell infiltration into the pulmonary parenchyma. Prophylactic administration of 1V270 significantly protected mice from lethal infection with Bacillus anthracis, Venezuelan equine encephalitis virus, and H1N1 influenza virus. The maximum tolerated dose of 1V270 by pulmonary administration was 75 times the effective therapeutic dose. These indicate that pulmonary 1V270 treatment can protect the host from different infectious agents by stimulating local innate immune responses, while exhibiting an excellent safety profile. PMID:24192551

  12. Plasmacytoid dendritic cells orchestrate TLR7-mediated innate and adaptive immunity for the initiation of autoimmune inflammation

    Science.gov (United States)

    Takagi, Hideaki; Arimura, Keiichi; Uto, Tomofumi; Fukaya, Tomohiro; Nakamura, Takeshi; Choijookhuu, Narantsog; Hishikawa, Yoshitaka; Sato, Katsuaki

    2016-01-01

    Endosomal toll-like receptor (TLR)-mediated detection of viral nucleic acids (NAs) and production of type I interferon (IFN-I) are key elements of antiviral defense, while inappropriate recognition of self NAs with the induction of IFN-I responses is linked to autoimmunity such as psoriasis and systemic lupus erythematosus. Plasmacytoid dendritic cells (pDCs) are cells specialized in robust IFN-I secretion by the engagement of endosomal TLRs, and predominantly express sialic acid-binding Ig-like lectin (Siglec)-H. However, how pDCs control endosomal TLR-mediated immune responses that cause autoimmunity remains unclear. Here we show a critical role of pDCs in TLR7-mediated autoimmunity using gene-modified mice with impaired expression of Siglec-H and selective ablation of pDCs. pDCs were shown to be indispensable for the induction of systemic inflammation and effector T-cell responses triggered by TLR7 ligand. pDCs aggravated psoriasiform dermatitis mediated through the hyperproliferation of keratinocytes and enhanced dermal infiltration of granulocytes and γδ T cells. Furthermore, pDCs promoted the production of anti-self NA antibodies and glomerulonephritis in lupus-like disease by activating inflammatory monocytes. On the other hand, Siglec-H regulated the TLR7-mediated activation of pDCs. Thus, our findings reveal that pDCs provide an essential link between TLR7-mediated innate and adaptive immunity for the initiation of IFN-I-associated autoimmune inflammation. PMID:27075414

  13. Repeated intranasal TLR7 stimulation reduces allergen responsiveness in allergic rhinitis

    Directory of Open Access Journals (Sweden)

    Greiff Lennart

    2012-06-01

    Full Text Available Abstract Background Interactions between Th1 and Th2 immune responses are of importance to the onset and development of allergic disorders. A Toll-like receptor 7 agonist such as AZD8848 may have potential as a treatment for allergic airway disease by skewing the immune system away from a Th2 profile. Objective To evaluate the efficacy and safety of intranasal AZD8848. Methods In a placebo-controlled single ascending dose study, AZD8848 (0.3-600 μg was given intranasally to 48 healthy subjects and 12 patients with allergic rhinitis (NCT00688779. In a placebo-controlled repeat challenge/treatment study, AZD8848 (30 and 60 μg was given once weekly for five weeks to 74 patients with allergic rhinitis out of season: starting 24 hours after the final dose, daily allergen challenges were given for seven days (NCT00770003. Safety, tolerability, pharmacokinetics, and biomarkers were monitored. During the allergen challenge series, nasal symptoms and lavage fluid levels of tryptase and α2-macroglobulin, reflecting mast cell activity and plasma exudation, were monitored. Results AZD8848 produced reversible blood lymphocyte reductions and dose-dependent flu-like symptoms: 30–100 μg produced consistent yet tolerable effects. Plasma interleukin-1 receptor antagonist was elevated after administration of AZD8848, reflecting interferon production secondary to TLR7 stimulation. At repeat challenge/treatment, AZD8848 reduced nasal symptoms recorded ten minutes after allergen challenge up to eight days after the final dose. Tryptase and α2-macroglobulin were also reduced by AZD8848. Conclusions Repeated intranasal stimulation of Toll-like receptor 7 by AZD8848 was safe and produced a sustained reduction in the responsiveness to allergen in allergic rhinitis. Trial registration NCT00688779 and NCT00770003 as indicated above.

  14. Expression of TLR-7, MyD88, NF-kB and INF-α in B lymphocytes of Mayan Women with Systemic Lupus Erythematosus, in Mexico

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    Guillermo eValencia Pacheco

    2016-02-01

    Full Text Available Background: Systemic Lupus Erythematosus (SLE is a chronic inflammatory autoimmune disease involving multiple organs. It is currently accepted that several genetic, environmental, and hormonal factors contributing to its development. Innate immunity may have a great influence in autoimmunity through Toll-like receptors (TLR. TLR-7 recognizing single-strand RNA has been involved in SLE. Its activation induces intracellular signal with attraction of MyD88 and NF-kB, leading to IFN-α synthesis which correlate with disease activity. Objective: To assess the expression of TLR-7, MyD88 and NF-kB in mononuclear cells of Mayan women with SLE. Methods: One hundred patients with SLE and one hundred healthy controls, all them Mayan women, were included. TLR-7 was analyzed on B and T lymphocytes, and MyD88 and NF-kB only in B lymphocytes. Serum INF-α level was evaluated by ELISA. Results: Significant expression (p < 0.0001 of TLR-7 in B and T lymphocytes and serum IFN-α increased (p = 0.034 was observed in patients. MyD88 and NF-kB were also increased in B lymphocytes of patients. TLR-7 and NF-kB expression correlated, but no correlation with INF-α and disease activity was detected. Conclusion: Data support the role of TLR-7 and signal proteins in the pathogenesis of SLE in the Mayan population of Yucatán.

  15. Interferon-alpha suppressed granulocyte colony stimulating factor production is reversed by CL097, a TLR7/8 agonist.

    LENUS (Irish Health Repository)

    Tajuddin, Tariq

    2012-02-01

    BACKGROUND AND AIM: Neutropenia, a major side-effect of interferon-alpha (IFN-alpha) therapy can be effectively treated by the recombinant form of granulocyte colony stimulating factor (G-CSF), an important growth factor for neutrophils. We hypothesized that IFN-alpha might suppress G-CSF production by peripheral blood mononuclear cells (PBMCs), contributing to the development of neutropenia, and that a toll-like receptor (TLR) agonist might overcome this suppression. METHODS: Fifty-five patients who were receiving IFN-alpha\\/ribavirin combination therapy for chronic hepatitis C virus (HCV) infection were recruited. Absolute neutrophil counts (ANC), monocyte counts and treatment outcome data were recorded. G-CSF levels in the supernatants of PBMCs isolated from the patients and healthy controls were assessed by enzyme-linked immunosorbent assay following 18 h of culture in the absence or presence of IFN- alpha or the TLR7\\/8 agonist, CL097. RESULTS: Therapeutic IFN-alpha caused a significant reduction in neutrophil counts in all patients, with 15 patients requiring therapeutic G-CSF. The reduction in ANC over the course of IFN-alpha treatment was paralleled by a decrease in the ability of PBMCs to produce G-CSF. In vitro G-CSF production by PBMCs was suppressed in the presence of IFN-alpha; however, co-incubation with a TLR7\\/8 agonist significantly enhanced G-CSF secretion by cells obtained both from HCV patients and healthy controls. CONCLUSIONS: Suppressed G-CSF production in the presence of IFN-alpha may contribute to IFN-alpha-induced neutropenia. However, a TLR7\\/8 agonist elicits G-CSF secretion even in the presence of IFN-alpha, suggesting a possible therapeutic role for TLR agonists in treatment of IFN-alpha-induced neutropenia.

  16. Critical role of TLR7 signaling in the priming of cross-protective cytotoxic T lymphocyte responses by a whole inactivated influenza virus vaccine.

    Science.gov (United States)

    Budimir, Natalija; de Haan, Aalzen; Meijerhof, Tjarko; Waijer, Simke; Boon, Louis; Gostick, Emma; Price, David A; Wilschut, Jan; Huckriede, Anke

    2013-01-01

    Current influenza vaccines fail to induce protection against antigenically distinct virus strains. Accordingly, there is a need for the development of cross-protective vaccines. Previously, we and others have shown that vaccination with whole inactivated virus (WIV) induces cross-protective cellular immunity in mice. To probe the mechanistic basis for this finding, we investigated the role of TLR7, a receptor for single-stranded RNA, in induction of cross-protection. Vaccination of TLR7-/- mice with influenza WIV failed to protect against a lethal heterosubtypic challenge; in contrast, wild-type mice were fully protected. The lack of protection in TLR7-/- mice was associated with high viral load and a relative paucity of influenza-specific CD8+ cytotoxic T lymphocyte (CTL) responses. Dendritic cells (DCs) from TLR7-/- mice were unable to cross-present WIV-derived antigen to influenza-specific CTLs in vitro. Similarly, TLR7-/- DCs failed to mature and become activated in response to WIV, as determined by the assessment of surface marker expression and cytokine production. Plasmacytoid DCs (pDCs) derived from wild-type mice responded directly to WIV while purified conventional DCs (cDCs) did not respond to WIV in isolation, but were responsive in mixed pDC/cDC cultures. Depletion of pDCs prior to and during WIV immunization resulted in reduced numbers of influenza-specific CTLs and impaired protection from heterosubtypic challenge. Thus, TLR7 plays a critical role in the induction of cross-protective immunity upon vaccination with WIV. The initial target cells for WIV appear to be pDCs which by direct or indirect mechanisms promote activation of robust CTL responses against conserved influenza epitopes. PMID:23658804

  17. Critical role of TLR7 signaling in the priming of cross-protective cytotoxic T lymphocyte responses by a whole inactivated influenza virus vaccine.

    Directory of Open Access Journals (Sweden)

    Natalija Budimir

    Full Text Available Current influenza vaccines fail to induce protection against antigenically distinct virus strains. Accordingly, there is a need for the development of cross-protective vaccines. Previously, we and others have shown that vaccination with whole inactivated virus (WIV induces cross-protective cellular immunity in mice. To probe the mechanistic basis for this finding, we investigated the role of TLR7, a receptor for single-stranded RNA, in induction of cross-protection. Vaccination of TLR7-/- mice with influenza WIV failed to protect against a lethal heterosubtypic challenge; in contrast, wild-type mice were fully protected. The lack of protection in TLR7-/- mice was associated with high viral load and a relative paucity of influenza-specific CD8+ cytotoxic T lymphocyte (CTL responses. Dendritic cells (DCs from TLR7-/- mice were unable to cross-present WIV-derived antigen to influenza-specific CTLs in vitro. Similarly, TLR7-/- DCs failed to mature and become activated in response to WIV, as determined by the assessment of surface marker expression and cytokine production. Plasmacytoid DCs (pDCs derived from wild-type mice responded directly to WIV while purified conventional DCs (cDCs did not respond to WIV in isolation, but were responsive in mixed pDC/cDC cultures. Depletion of pDCs prior to and during WIV immunization resulted in reduced numbers of influenza-specific CTLs and impaired protection from heterosubtypic challenge. Thus, TLR7 plays a critical role in the induction of cross-protective immunity upon vaccination with WIV. The initial target cells for WIV appear to be pDCs which by direct or indirect mechanisms promote activation of robust CTL responses against conserved influenza epitopes.

  18. Funktion von TLR7 für die Aktivierung dendritischer Zellen durch das Autoantigen U1snRNP und die Pathogenese des Systemischen Lupus

    OpenAIRE

    Savarese, Emina Zaira

    2008-01-01

    Plasmazytoide dentritische Zellen (PDC) tragen als Hauptproduzenten von Typ I Interferon entscheidend zum Verlauf der systemischen Autoimmunkrankheit Lupus Erythematodes (SLE) bei. Diese Arbeit befasst sich mit den pathogenen RNA-haltigen Autoimmunkomplexen bezüglich ihrer Aktivierung von TLR7 in konventionellen (c)DC und PDC’s. Diese wurden mit definierten U1snRNP/Anti-Sm-AK-Immunkomplexen stimuliert und zeigten eine TLR7-abhängige Expression von IFN-α, IL-6 und dem kostimulatorischen Molekü...

  19. Blocking TLR7- and TLR9-mediated IFN-α production by plasmacytoid dendritic cells does not diminish immune activation in early SIV infection.

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    Muhamuda Kader

    Full Text Available Persistent production of type I interferon (IFN by activated plasmacytoid dendritic cells (pDC is a leading model to explain chronic immune activation in human immunodeficiency virus (HIV infection but direct evidence for this is lacking. We used a dual antagonist of Toll-like receptor (TLR 7 and TLR9 to selectively inhibit responses of pDC but not other mononuclear phagocytes to viral RNA prior to and for 8 weeks following pathogenic simian immunodeficiency virus (SIV infection of rhesus macaques. We show that pDC are major but not exclusive producers of IFN-α that rapidly become unresponsive to virus stimulation following SIV infection, whereas myeloid DC gain the capacity to produce IFN-α, albeit at low levels. pDC mediate a marked but transient IFN-α response in lymph nodes during the acute phase that is blocked by administration of TLR7 and TLR9 antagonist without impacting pDC recruitment. TLR7 and TLR9 blockade did not impact virus load or the acute IFN-α response in plasma and had minimal effect on expression of IFN-stimulated genes in both blood and lymph node. TLR7 and TLR9 blockade did not prevent activation of memory CD4+ and CD8+ T cells in blood or lymph node but led to significant increases in proliferation of both subsets in blood following SIV infection. Our findings reveal that virus-mediated activation of pDC through TLR7 and TLR9 contributes to substantial but transient IFN-α production following pathogenic SIV infection. However, the data indicate that pDC activation and IFN-α production are unlikely to be major factors in driving immune activation in early infection. Based on these findings therapeutic strategies aimed at blocking pDC function and IFN-α production may not reduce HIV-associated immunopathology.

  20. Stimulation of TLR7 with Gardiquimod Enhances Protection and Activation of Immune Cells from γ-Irradiation Exposure

    International Nuclear Information System (INIS)

    Radiotherapy for cancer patients is based on the radiation-induced cell death, but high dose of radiation is able to cause break of immune system. Thus, protection of immune cells from radiation damage is required to enhance the efficiency and reduce the harmful side effects during cancer radiotherapy. Toll-like receptors (TLRs) are important not only in initiating innate immunity against microbial infection, but also inducing Th1-mediated immunity with producing cytokines and chemokines. Cell stimulation via TLRs leads to downstream activation of NF-kB and other transcription factors. Consequently, several genes encoding mediators and effector molecules of the innate as well as the adaptive immune response are transcribed. There are several previous findings that activated immune cells via TLR9 inducing pathways are resistant to chemical or radiation exposure. But it is not clear that the other TLRs also have the same abilities to protect immune cells against cellular damages including γ-irradiation. This research was performed to evaluate protective effect of immune cells from γ-irradiation through TLR-7 activation pathway

  1. 丙型肝炎病毒阳性血清对小胶质细胞TLR7蛋白及炎性因子表达的影响%The influence of hepatitis C virus-positive serum on the expressions of TLR7 protein and other inflammatory factors in microglial cells

    Institute of Scientific and Technical Information of China (English)

    赵莉; 王振海

    2011-01-01

    In order to clarify the immune pathogenesis of damages in central nervous system induced by HCV through the observation on the alterations in the expressions of TLR7 protein, TNF-α and IFN-α in murine microglial cells treated with HCV-positive serum, the murine microglial cell BV2 cells were cultured and infected with 20% HCV positive-serum. The BV2 cells and the cultural supernatants were collected 24 hrs after infection and indirect immunofluorescence flow cytometry and enzymelinked immunosorbent assay(ELISA) were used to detect the expressions of TLR7 protein, TNF-α, and IFN-α. Meanwhile,the isotype control, blank control and normal human serum control were set up. It was demonstrated that the expression of TLR7 protein could be detected in BV2 cells, in which the expression of TLR7 protein expression of the HCV-positive serum group was significantly higher than those of the blank control and group of normal human serum control and the difference was significant (P<0.05), while no statistical difference existed between the group of blank control and group of normal human serum control (P>0.05). Also, TNF-α, IFN-α levels in culture supernatant increased significantly (P<0.05) than the control group and the normal serum group, normal serum group compared with the control group showed no statistical significance (P>0.05). From the results of the present study, it is evident that TLR7 may be activated by HCV positive serum and promoted the innate immune response of microglial cells, so it may play a role in the pathogenesis of central nervous system disorders induced by hepatitis C virus.%通过观察丙型肝炎病毒阳性血清处理后小鼠小胶质细胞BV2(BV2细胞)内TLR7蛋白及TNF-α、IFN-α的表达变化,探讨HCV对中枢神经系统损伤的免疫发病机制.用20%HCV阳性血清处理BV2细胞,在处理后24 h收集细胞及培养上清液,应用间接免疫荧光流式细胞术及酶联免疫吸附法(ELISA)分别检测细胞内TLR

  2. Aging Impairs the Ability of Conventional Dendritic Cells to Cross-Prime CD8+ T Cells upon Stimulation with a TLR7 Ligand.

    Directory of Open Access Journals (Sweden)

    Estefanía R Zacca

    Full Text Available The aging process is accompanied by altered immune system functioning and an increased risk of infection. Dendritic cells (DCs are antigen-presenting cells that play a key role in both adaptive and innate immunity, but how aging affects DCs and their influence on immunity has not been thoroughly established. Here we examined the function of conventional DCs (cDCs in old mice after TLR7 stimulation, focusing on their ability to cross-prime CD8+ T cells. Using polyU, a synthetic ssRNA analog, as TLR7 ligand and OVA as an antigen (Ag model, we found that cDCs from old mice have a poor ability to stimulate a CD8+ T cell-mediated cytotoxic response. cDCs from old mice exhibit alterations in Ag-processing machinery and TLR7 activation. Remarkably, CD8α+ cDCs from old mice have an impaired ability to activate naïve CD8+ T cells and, moreover, a lower capacity to mature and to process exogenous Ag. Taken together, our results suggest that immunosenescence impacts cDC function, affecting the activation of naïve CD8+ T cells and the generation of effector cytotoxic T cells.

  3. Identifiability analysis in conceptual sewer modelling.

    Science.gov (United States)

    Kleidorfer, M; Leonhardt, G; Rauch, W

    2012-01-01

    For a sufficient calibration of an environmental model not only parameter sensitivity but also parameter identifiability is an important issue. In identifiability analysis it is possible to analyse whether changes in one parameter can be compensated by appropriate changes of the other ones within a given uncertainty range. Parameter identifiability is conditional to the information content of the calibration data and consequently conditional to a certain measurement layout (i.e. types of measurements, number and location of measurement sites, temporal resolution of measurements etc.). Hence the influence of number and location of measurement sites on the number of identifiable parameters can be investigated. In the present study identifiability analysis is applied to a conceptual model of a combined sewer system aiming to predict the combined sewer overflow emissions. Different measurement layouts are tested and it can be shown that only 13 of the most sensitive catchment areas (represented by the model parameter 'effective impervious area') can be identified when overflow measurements of the 20 highest overflows and the runoff to the waste water treatment plant are used for calibration. The main advantage of this method is very low computational costs as the number of required model runs equals the total number of model parameters. Hence, this method is a valuable tool when analysing large models with a long runtime and many parameters. PMID:22864432

  4. C1q Modulates the Response to TLR7 Stimulation by Pristane-Primed Macrophages: Implications for Pristane-Induced Lupus.

    Science.gov (United States)

    Carlucci, Francesco; Ishaque, Attia; Ling, Guang Sheng; Szajna, Marta; Sandison, Ann; Donatien, Philippe; Cook, H Terence; Botto, Marina

    2016-02-15

    The complement component C1q is known to play a controversial role in the pathogenesis of systemic lupus erythematosus, but the underlying mechanisms remain poorly understood. Intraperitoneal injection of pristane induces a lupus-like syndrome whose pathogenesis implicates the secretion of type I IFN by CD11b(+) Ly6C(high) inflammatory monocytes in a TLR7-dependent fashion. C1q was also shown to influence the secretion of IFN-α. In this study, we explored whether C1q deficiency could affect pristane-induced lupus. Surprisingly, C1qa(-/-) mice developed lower titers of circulating Abs and milder arthritis compared with the controls. In keeping with the clinical scores, 2 wk after pristane injection the peritoneal recruitment of CD11b(+) Ly6C(high) inflammatory monocytes in C1qa(-/-) mice was impaired. Furthermore, C1q-deficient pristane-primed resident peritoneal macrophages secreted significantly less CCL3, CCL2, CXCL1, and IL-6 when stimulated in vitro with TLR7 ligand. Replenishing C1q in vivo during the pristane-priming phase rectified this defect. Conversely, pristane-primed macrophages from C3-deficient mice did not show impaired cytokine production. These findings demonstrate that C1q deficiency impairs the TLR7-dependent chemokine production by pristane-primed peritoneal macrophages and suggest that C1q, and not C3, is involved in the handling of pristane by phagocytic cells, which is required to trigger disease in this model. PMID:26773156

  5. Activation of eosinophils via Toll-like receptor (TLR3, TLR7 and TLR9: link between viral infection and asthma?

    Directory of Open Access Journals (Sweden)

    Anne Månsson

    2008-04-01

    Full Text Available Asthma is disease characterized by a massive accumulation of eosinophils that release an array of tissue-damaging mediators. Respiratory viral infections are thought to be a leading cause of exacerbations of asthma. One possible explanation might be a direct activation of viral components through Toll-like receptors (TLRs, a receptor family comprising 10 different pathogen-recognizing members (TLR1-TLR10. The virus-recognizing TLRs are TLR3, TLR7/8 and TLR9, which respond to viral dsRNA, ssRNA and CpG-DNA. The present study aimed to investigate the expression of these TLRs and their functions in human eosinophils. Eosinophils were isolated from peripheral blood using magnetic beads (purity >97%. Cells were incubated with or without poly(I:C, R-837 or CpG alone, the synthetic ligands of TLR3, TLR7 and TLR9, respectively, or combined with IL-4 or histamine. Flow cytometry, and ELISA were used to analyze expression of TLRs and various surface markers, viability and secretion of inflammatory mediators. Eosinophils expressed proteins for TLR3, TLR7 and TLR9. Poly(I:C, R-837 and CpG prolonged survival, up-regulated expression of the adhesion molecule CD11b and increased secretion of IL-8 compared to unstimulated controls. These effects were affected by the presence of IL-4 and histamine. This study shows that several viral products directly activate eosinophils through their TLRs. Since eosinophils are central in asthma, the TLR system may be an important mechanism of eosinophil activation linking viral infections with exacerbations. Consequently, this system represents a future clinical target for the resolution of asthmatic disease.

  6. Co-stimulation with TLR7/8 and TLR9 agonists induce down-regulation of innate immune responses in sheep blood mononuclear and B cells.

    Science.gov (United States)

    Booth, Jayaum S; Buza, Joram J; Potter, Andrew; Babiuk, Lorne A; Mutwiri, George K

    2010-05-01

    Toll-like receptors (TLRs) play an important role in the activation of innate and adaptive immune responses. Stimulation with multiple TLR agonists may result in synergistic, complimentary or inhibitory effects on innate immune responses. In this study, we investigated the effects of co-stimulation of sheep peripheral blood mononuclear cells (PBMC) and B cells with agonists for TLR3, 4, 7/8 and 9. Sheep PBMC stimulated with either CpG (TLR9 agonist) or RNA oligoribonucleotides ([ORNs], TLR7/8 agonist) exhibited significant IL-12 production, but only CpG induced IFNalpha, IgM and proliferative responses. In contrast, poly(I:C) (TLR3 agonist) and LPS (TLR4 agonist) did not induce any of these responses. Interestingly, we observed that co-stimulation of PBMC with CpG+ORN or CpG+imiquimod (another TLR7/8 agonist) resulted in significant reduction in CpG-induced IFNalpha production, B cell proliferation and IgM responses. Pre-incubation of cells with CpG prior to exposure of the cells to imiquimod resulted in similar inhibitory responses indicating that the down-regulatory mechanisms are not associated with competition for cellular uptake or for receptors of the two agonists. Sheep B cells constitutively expressed TLR7, TLR8 and TLR9 mRNA transcripts, suggesting a possible role of TLR cross-talk in the down-regulatory mechanisms. Down-regulation of responses by co-stimulation with closely related TLRs may be a regulatory mechanism by which the host prevents overstimulation of innate immune responses. PMID:20051250

  7. Expression and activation of intracellular receptors TLR7, TLR8 and TLR9 in peripheral blood monocytes from HIV-infected patients.

    Directory of Open Access Journals (Sweden)

    Guillermo Valencia

    2013-05-01

    Full Text Available Introduction. TLR´s play a role in host defense in HIV infection recognizing the viral DNA or RNA. Their activation induces a signaling pathway that includes the proteins MyD88, IRAK4, TRAF6 and the transcription factor NF-kBp65. Objective. To determine the expression of TLR7, TLR8 and TLR9, and activation of its signaling pathway in monocytes from patients infected with HIV. Methods. Expression of TLR7, TLR8 and TLR9 was determined in monocytes from HIV-infected patients (n = 13 and control subjects (n = 13, which were activated with specific ligands. The expression of MyD88 and NF-kBp65 were determined by flow cytometry; IRAK4 and TRAF6 were studied by immunoblotting. Results. No statistical difference was found in the expression of TLR7, 8 and 9 in monocytes from patients compared to controls, but we observed the non-significant increased expression of TLR9 in patients. The activation showed no significant difference in the expression of MyD88 and NF-kBp65 in patients when compared to controls, but were decreased in stimulated cells over non-stimulated cells. IRAK4 and TRAF6 were not detected. Conclusions. No statistical difference was observed in the expression of intracellular TLRs, MyD88 and NFkBp65 in monocytes from patients compared to controls. This was probably due to effective antiretroviral therapy being received at the time of study entry. Additional studies are needed (ARTV under controlled conditions that include infected patients with and without ARVT, responders and non- responders, and work with different cell populations 

  8. Expression and significance of TLR7 and MyD88 in skin tumor and precancerous lesion%TLR7、MyD88在皮肤肿瘤及癌前病变中的表达及意义

    Institute of Scientific and Technical Information of China (English)

    李莎; 高永良; 赵恒光; 李军帅

    2014-01-01

    目的 研究Toll样受体7(Toll-like receptor-7,TLR7)及髓样分化因子88 (myeloid differentiation factor 88,MyD88)在光化性角化病(actinic keratosis,AK)、Bowen病(Bowen disease,BD)、皮肤鳞状细胞癌(cutaneous squamous cell carcinoma,SCC)组织中的表达及意义.方法 免疫组化法检测22例AK、20例BD、23例SCC及15例正常皮肤组织中TLR7、MyD88的表达情况.结果 TLR7表达在细胞质中,其在SCC、BD、AK组及正常皮肤组中的阳性表达量用积分光密度值(integrated option density,IOD)计算,表达量分别为195.68±3.30、37.93±1.91、26.12±1.68、5.05±0.62,各组之间均有差异(P<0.01).MyD88表达在细胞质中,在SCC、BD、AK、正常皮肤中的IOD值分别为146.70±3.65、55.36±6.65、8.65±1.14、3.03±0.83,组间比较有差异性(P<0.01),且TLR7及MyD88的表达呈正相关(r=0.973,P<O.01).结论 TLR7及MyD88表达增高可能在上述3种疾病的发生发展中起一定的作用,且两者可能有协同作用.

  9. Identifying marker typing incompatibilities in linkage analysis.

    OpenAIRE

    Stringham, H M; Boehnke, M.

    1996-01-01

    A common problem encountered in linkage analyses is that execution of the computer program is halted because of genotypes in the data that are inconsistent with Mendelian inheritance. Such inconsistencies may arise because of pedigree errors or errors in typing. In some cases, the source of the inconsistencies is easily identified by examining the pedigree. In others, the error is not obvious, and substantial time and effort are required to identify the responsible genotypes. We have develope...

  10. Identifiable Data Files - Medicare Provider Analysis and ...

    Data.gov (United States)

    U.S. Department of Health & Human Services — The Medicare Provider Analysis and Review (MEDPAR) File contains data from claims for services provided to beneficiaries admitted to Medicare certified inpatient...

  11. Identifying MMORPG Bots: A Traffic Analysis Approach

    Directory of Open Access Journals (Sweden)

    Wen-Chin Chen

    2008-11-01

    Full Text Available Massively multiplayer online role playing games (MMORPGs have become extremely popular among network gamers. Despite their success, one of MMORPG's greatest challenges is the increasing use of game bots, that is, autoplaying game clients. The use of game bots is considered unsportsmanlike and is therefore forbidden. To keep games in order, game police, played by actual human players, often patrol game zones and question suspicious players. This practice, however, is labor-intensive and ineffective. To address this problem, we analyze the traffic generated by human players versus game bots and propose general solutions to identify game bots. Taking Ragnarok Online as our subject, we study the traffic generated by human players and game bots. We find that their traffic is distinguishable by 1 the regularity in the release time of client commands, 2 the trend and magnitude of traffic burstiness in multiple time scales, and 3 the sensitivity to different network conditions. Based on these findings, we propose four strategies and two ensemble schemes to identify bots. Finally, we discuss the robustness of the proposed methods against countermeasures of bot developers, and consider a number of possible ways to manage the increasingly serious bot problem.

  12. Toll-like receptor (TLR)7 and TLR9 agonists enhance interferon (IFN) beta-1a's immunoregulatory effects on B cells in patients with relapsing-remitting multiple sclerosis (RRMS).

    Science.gov (United States)

    Tao, Yazhong; Zhang, Xin; Markovic-Plese, Silva

    2016-09-15

    We report that B cells from patients with RRMS have decreased endogenous IFN-β secretion and deficient IFN receptor (IFNAR)1/2 and TLR7 gene expression in comparison to healthy controls (HCs), which may contribute to disregulation of cytokine secretion by B cells. We propose that TLR7 and TLR9 stimulation with loxorubin (LOX) and CpG, in combination with exogenous IFN-β may effectively reconstitute endogenous IFN-β production deficit and induce the secretion of immunoregulatory cytokines by B cells. Both LOX/IFN-β and CpG/IFN-β in-vitro treatments of B cells from RRMS patients induced higher endogenous IFN-β gene expression in comparison to the exogenous IFN-β alone. CpG/IFN-β combination induced higher secretion of IL-10, TGF-β, and IL-27 in comparison to stimulation with IFN-β. Our study provides a basis for future clinical studies employing IFN-β and TLR7/9 agonists, which may enhance the resolution of the inflammatory response in RRMS. PMID:27609294

  13. BIOELECTRICAL IMPEDANCE VECTOR ANALYSIS IDENTIFIES SARCOPENIA IN NURSING HOME RESIDENTS

    Science.gov (United States)

    Loss of muscle mass and water shifts between body compartments are contributing factors to frailty in the elderly. The body composition changes are especially pronounced in institutionalized elderly. We investigated the ability of single-frequency bioelectrical impedance analysis (BIA) to identify b...

  14. Identifying clinical course patterns in SMS data using cluster analysis

    DEFF Research Database (Denmark)

    Kent, Peter; Kongsted, Alice

    2012-01-01

    whole group, by including all SMS time points in their original form. It was a 'proof of concept' study to explore the potential, clinical relevance, strengths and weakness of such an approach. METHODS: This was a secondary analysis of longitudinal SMS data collected in two randomised controlled trials...... subgroups in the outcomes of research studies. Two previous studies have investigated detailed clinical course patterns in SMS data obtained from people seeking care for low back pain. One used a visual analysis approach and the other performed a cluster analysis of SMS data that had first been transformed...... conducted simultaneously from a single clinical population (n = 322) . Fortnightly SMS data collected over a year on 'days of problematic low back pain' and on 'days of sick leave' were analysed using Two-Step (probabilistic) Cluster Analysis. RESULTS: Clinical course patterns were identified that were...

  15. Identifying influential factors of business process performance using dependency analysis

    Science.gov (United States)

    Wetzstein, Branimir; Leitner, Philipp; Rosenberg, Florian; Dustdar, Schahram; Leymann, Frank

    2011-02-01

    We present a comprehensive framework for identifying influential factors of business process performance. In particular, our approach combines monitoring of process events and Quality of Service (QoS) measurements with dependency analysis to effectively identify influential factors. The framework uses data mining techniques to construct tree structures to represent dependencies of a key performance indicator (KPI) on process and QoS metrics. These dependency trees allow business analysts to determine how process KPIs depend on lower-level process metrics and QoS characteristics of the IT infrastructure. The structure of the dependencies enables a drill-down analysis of single factors of influence to gain a deeper knowledge why certain KPI targets are not met.

  16. Using factor analysis to identify neuromuscular synergies during treadmill walking

    Science.gov (United States)

    Merkle, L. A.; Layne, C. S.; Bloomberg, J. J.; Zhang, J. J.

    1998-01-01

    Neuroscientists are often interested in grouping variables to facilitate understanding of a particular phenomenon. Factor analysis is a powerful statistical technique that groups variables into conceptually meaningful clusters, but remains underutilized by neuroscience researchers presumably due to its complicated concepts and procedures. This paper illustrates an application of factor analysis to identify coordinated patterns of whole-body muscle activation during treadmill walking. Ten male subjects walked on a treadmill (6.4 km/h) for 20 s during which surface electromyographic (EMG) activity was obtained from the left side sternocleidomastoid, neck extensors, erector spinae, and right side biceps femoris, rectus femoris, tibialis anterior, and medial gastrocnemius. Factor analysis revealed 65% of the variance of seven muscles sampled aligned with two orthogonal factors, labeled 'transition control' and 'loading'. These two factors describe coordinated patterns of muscular activity across body segments that would not be evident by evaluating individual muscle patterns. The results show that factor analysis can be effectively used to explore relationships among muscle patterns across all body segments to increase understanding of the complex coordination necessary for smooth and efficient locomotion. We encourage neuroscientists to consider using factor analysis to identify coordinated patterns of neuromuscular activation that would be obscured using more traditional EMG analyses.

  17. Latent cluster analysis of ALS phenotypes identifies prognostically differing groups.

    Directory of Open Access Journals (Sweden)

    Jeban Ganesalingam

    Full Text Available BACKGROUND: Amyotrophic lateral sclerosis (ALS is a degenerative disease predominantly affecting motor neurons and manifesting as several different phenotypes. Whether these phenotypes correspond to different underlying disease processes is unknown. We used latent cluster analysis to identify groupings of clinical variables in an objective and unbiased way to improve phenotyping for clinical and research purposes. METHODS: Latent class cluster analysis was applied to a large database consisting of 1467 records of people with ALS, using discrete variables which can be readily determined at the first clinic appointment. The model was tested for clinical relevance by survival analysis of the phenotypic groupings using the Kaplan-Meier method. RESULTS: The best model generated five distinct phenotypic classes that strongly predicted survival (p<0.0001. Eight variables were used for the latent class analysis, but a good estimate of the classification could be obtained using just two variables: site of first symptoms (bulbar or limb and time from symptom onset to diagnosis (p<0.00001. CONCLUSION: The five phenotypic classes identified using latent cluster analysis can predict prognosis. They could be used to stratify patients recruited into clinical trials and generating more homogeneous disease groups for genetic, proteomic and risk factor research.

  18. Parameter Trajectory Analysis to Identify Treatment Effects of Pharmacological Interventions

    OpenAIRE

    Tiemann, Christian A.; Vanlier, Joep; Oosterveer, Maaike H.; Albert K Groen; Hilbers, Peter A. J.; Natal A W van Riel

    2013-01-01

    The field of medical systems biology aims to advance understanding of molecular mechanisms that drive disease progression and to translate this knowledge into therapies to effectively treat diseases. A challenging task is the investigation of long-term effects of a (pharmacological) treatment, to establish its applicability and to identify potential side effects. We present a new modeling approach, called Analysis of Dynamic Adaptations in Parameter Trajectories (ADAPT), to analyze the long-t...

  19. Three Systems of Insular Functional Connectivity Identified with Cluster Analysis

    OpenAIRE

    Deen, Ben; Pitskel, Naomi B.; Kevin A. Pelphrey

    2010-01-01

    Despite much research on the function of the insular cortex, few studies have investigated functional subdivisions of the insula in humans. The present study used resting-state functional connectivity magnetic resonance imaging (MRI) to parcellate the human insular lobe based on clustering of functional connectivity patterns. Connectivity maps were computed for each voxel in the insula based on resting-state functional MRI (fMRI) data and segregated using cluster analysis. We identified 3 ins...

  20. Identifying Organizational Inefficiencies with Pictorial Process Analysis (PPA

    Directory of Open Access Journals (Sweden)

    David John Patrishkoff

    2013-11-01

    Full Text Available Pictorial Process Analysis (PPA was created by the author in 2004. PPA is a unique methodology which offers ten layers of additional analysis when compared to standard process mapping techniques.  The goal of PPA is to identify and eliminate waste, inefficiencies and risk in manufacturing or transactional business processes at 5 levels in an organization. The highest level being assessed is the process management, followed by the process work environment, detailed work habits, process performance metrics and general attitudes towards the process. This detailed process assessment and analysis is carried out during process improvement brainstorming efforts and Kaizen events. PPA creates a detailed visual efficiency rating for each step of the process under review.  A selection of 54 pictorial Inefficiency Icons (cards are available for use to highlight major inefficiencies and risks that are present in the business process under review. These inefficiency icons were identified during the author's independent research on the topic of why things go wrong in business. This paper will highlight how PPA was developed and show the steps required to conduct Pictorial Process Analysis on a sample manufacturing process. The author has successfully used PPA to dramatically improve business processes in over 55 different industries since 2004.  

  1. Rice Transcriptome Analysis to Identify Possible Herbicide Quinclorac Detoxification Genes

    Directory of Open Access Journals (Sweden)

    Wenying eXu

    2015-09-01

    Full Text Available Quinclorac is a highly selective auxin-type herbicide, and is widely used in the effective control of barnyard grass in paddy rice fields, improving the world’s rice yield. The herbicide mode of action of quinclorac has been proposed and hormone interactions affect quinclorac signaling. Because of widespread use, quinclorac may be transported outside rice fields with the drainage waters, leading to soil and water pollution and environmental health problems.In this study, we used 57K Affymetrix rice whole-genome array to identify quinclorac signaling response genes to study the molecular mechanisms of action and detoxification of quinclorac in rice plants. Overall, 637 probe sets were identified with differential expression levels under either 6 or 24 h of quinclorac treatment. Auxin-related genes such as GH3 and OsIAAs responded to quinclorac treatment. Gene Ontology analysis showed that genes of detoxification-related family genes were significantly enriched, including cytochrome P450, GST, UGT, and ABC and drug transporter genes. Moreover, real-time RT-PCR analysis showed that top candidate P450 families such as CYP81, CYP709C and CYP72A genes were universally induced by different herbicides. Some Arabidopsis genes for the same P450 family were up-regulated under quinclorac treatment.We conduct rice whole-genome GeneChip analysis and the first global identification of quinclorac response genes. This work may provide potential markers for detoxification of quinclorac and biomonitors of environmental chemical pollution.

  2. Towards a Methodology for Identifying Program Constraints During Requirements Analysis

    Science.gov (United States)

    Romo, Lilly; Gates, Ann Q.; Della-Piana, Connie Kubo

    1997-01-01

    Requirements analysis is the activity that involves determining the needs of the customer, identifying the services that the software system should provide and understanding the constraints on the solution. The result of this activity is a natural language document, typically referred to as the requirements definition document. Some of the problems that exist in defining requirements in large scale software projects includes synthesizing knowledge from various domain experts and communicating this information across multiple levels of personnel. One approach that addresses part of this problem is called context monitoring and involves identifying the properties of and relationships between objects that the system will manipulate. This paper examines several software development methodologies, discusses the support that each provide for eliciting such information from experts and specifying the information, and suggests refinements to these methodologies.

  3. Parameter trajectory analysis to identify treatment effects of pharmacological interventions.

    Directory of Open Access Journals (Sweden)

    Christian A Tiemann

    Full Text Available The field of medical systems biology aims to advance understanding of molecular mechanisms that drive disease progression and to translate this knowledge into therapies to effectively treat diseases. A challenging task is the investigation of long-term effects of a (pharmacological treatment, to establish its applicability and to identify potential side effects. We present a new modeling approach, called Analysis of Dynamic Adaptations in Parameter Trajectories (ADAPT, to analyze the long-term effects of a pharmacological intervention. A concept of time-dependent evolution of model parameters is introduced to study the dynamics of molecular adaptations. The progression of these adaptations is predicted by identifying necessary dynamic changes in the model parameters to describe the transition between experimental data obtained during different stages of the treatment. The trajectories provide insight in the affected underlying biological systems and identify the molecular events that should be studied in more detail to unravel the mechanistic basis of treatment outcome. Modulating effects caused by interactions with the proteome and transcriptome levels, which are often less well understood, can be captured by the time-dependent descriptions of the parameters. ADAPT was employed to identify metabolic adaptations induced upon pharmacological activation of the liver X receptor (LXR, a potential drug target to treat or prevent atherosclerosis. The trajectories were investigated to study the cascade of adaptations. This provided a counter-intuitive insight concerning the function of scavenger receptor class B1 (SR-B1, a receptor that facilitates the hepatic uptake of cholesterol. Although activation of LXR promotes cholesterol efflux and -excretion, our computational analysis showed that the hepatic capacity to clear cholesterol was reduced upon prolonged treatment. This prediction was confirmed experimentally by immunoblotting measurements of SR-B1

  4. Lidar point density analysis: implications for identifying water bodies

    Science.gov (United States)

    Worstell, Bruce B.; Poppenga, Sandra; Evans, Gayla A.; Prince, Sandra

    2014-01-01

    Most airborne topographic light detection and ranging (lidar) systems operate within the near-infrared spectrum. Laser pulses from these systems frequently are absorbed by water and therefore do not generate reflected returns on water bodies in the resulting void regions within the lidar point cloud. Thus, an analysis of lidar voids has implications for identifying water bodies. Data analysis techniques to detect reduced lidar return densities were evaluated for test sites in Blackhawk County, Iowa, and Beltrami County, Minnesota, to delineate contiguous areas that have few or no lidar returns. Results from this study indicated a 5-meter radius moving window with fewer than 23 returns (28 percent of the moving window) was sufficient for delineating void regions. Techniques to provide elevation values for void regions to flatten water features and to force channel flow in the downstream direction also are presented.

  5. Longitudinal Metagenomic Analysis of Hospital Air Identifies Clinically Relevant Microbes

    Science.gov (United States)

    King, Paula; Pham, Long K.; Waltz, Shannon; Sphar, Dan; Yamamoto, Robert T.; Conrad, Douglas; Taplitz, Randy; Torriani, Francesca

    2016-01-01

    We describe the sampling of sixty-three uncultured hospital air samples collected over a six-month period and analysis using shotgun metagenomic sequencing. Our primary goals were to determine the longitudinal metagenomic variability of this environment, identify and characterize genomes of potential pathogens and determine whether they are atypical to the hospital airborne metagenome. Air samples were collected from eight locations which included patient wards, the main lobby and outside. The resulting DNA libraries produced 972 million sequences representing 51 gigabases. Hierarchical clustering of samples by the most abundant 50 microbial orders generated three major nodes which primarily clustered by type of location. Because the indoor locations were longitudinally consistent, episodic relative increases in microbial genomic signatures related to the opportunistic pathogens Aspergillus, Penicillium and Stenotrophomonas were identified as outliers at specific locations. Further analysis of microbial reads specific for Stenotrophomonas maltophilia indicated homology to a sequenced multi-drug resistant clinical strain and we observed broad sequence coverage of resistance genes. We demonstrate that a shotgun metagenomic sequencing approach can be used to characterize the resistance determinants of pathogen genomes that are uncharacteristic for an otherwise consistent hospital air microbial metagenomic profile. PMID:27482891

  6. Use of discriminant analysis to identify propensity for purchasing properties

    Directory of Open Access Journals (Sweden)

    Ricardo Floriani

    2015-03-01

    Full Text Available Properties usually represent a milestone for people and families due to the high added-value when compared with family income. The objective of this study is the proposition of a discrimination model, by a discriminant analysis of people with characteristics (according to independent variables classified as potential buyers of properties, as well as to identify the interest in the use of such property, if it will be assigned to housing or leisure activities such as a cottage or beach house, and/or for investment. Thus, the following research question is proposed: What are the characteristics that better describe the profile of people which intend to acquire properties? The study justifies itself by its economic relevance in the real estate industry, as well as to the players of the real estate Market that may develop products based on the profile of potential customers. As a statistical technique, discriminant analysis was applied to the data gathered by questionnaire, which was sent via e-mail. Three hundred and thirty four responses were gathered. Based on this study, it was observed that it is possible to identify the intention for acquired properties, as well the purpose for acquiring it, for housing or investments.

  7. Cluster analysis of clinical data identifies fibromyalgia subgroups.

    Directory of Open Access Journals (Sweden)

    Elisa Docampo

    Full Text Available INTRODUCTION: Fibromyalgia (FM is mainly characterized by widespread pain and multiple accompanying symptoms, which hinder FM assessment and management. In order to reduce FM heterogeneity we classified clinical data into simplified dimensions that were used to define FM subgroups. MATERIAL AND METHODS: 48 variables were evaluated in 1,446 Spanish FM cases fulfilling 1990 ACR FM criteria. A partitioning analysis was performed to find groups of variables similar to each other. Similarities between variables were identified and the variables were grouped into dimensions. This was performed in a subset of 559 patients, and cross-validated in the remaining 887 patients. For each sample and dimension, a composite index was obtained based on the weights of the variables included in the dimension. Finally, a clustering procedure was applied to the indexes, resulting in FM subgroups. RESULTS: VARIABLES CLUSTERED INTO THREE INDEPENDENT DIMENSIONS: "symptomatology", "comorbidities" and "clinical scales". Only the two first dimensions were considered for the construction of FM subgroups. Resulting scores classified FM samples into three subgroups: low symptomatology and comorbidities (Cluster 1, high symptomatology and comorbidities (Cluster 2, and high symptomatology but low comorbidities (Cluster 3, showing differences in measures of disease severity. CONCLUSIONS: We have identified three subgroups of FM samples in a large cohort of FM by clustering clinical data. Our analysis stresses the importance of family and personal history of FM comorbidities. Also, the resulting patient clusters could indicate different forms of the disease, relevant to future research, and might have an impact on clinical assessment.

  8. Analysis of an Image Secret Sharing Scheme to Identify Cheaters

    Directory of Open Access Journals (Sweden)

    Jung-San LEe

    2010-09-01

    Full Text Available Secret image sharing mechanisms have been widely applied to the military, e-commerce, and communications fields. Zhao et al. introduced the concept of cheater detection into image sharing schemes recently. This functionality enables the image owner and authorized members to identify the cheater in reconstructing the secret image. Here, we provide an analysis of Zhao et al.¡¦s method: an authorized participant is able to restore the secret image by him/herself. This contradicts the requirement of secret image sharing schemes. The authorized participant utilizes an exhaustive search to achieve the attempt, though, simulation results show that it can be done within a reasonable time period.

  9. Social network analysis in identifying influential webloggers: A preliminary study

    Science.gov (United States)

    Hasmuni, Noraini; Sulaiman, Nor Intan Saniah; Zaibidi, Nerda Zura

    2014-12-01

    In recent years, second generation of internet-based services such as weblog has become an effective communication tool to publish information on the Web. Weblogs have unique characteristics that deserve users' attention. Some of webloggers have seen weblogs as appropriate medium to initiate and expand business. These webloggers or also known as direct profit-oriented webloggers (DPOWs) communicate and share knowledge with each other through social interaction. However, survivability is the main issue among DPOW. Frequent communication with influential webloggers is one of the way to keep survive as DPOW. This paper aims to understand the network structure and identify influential webloggers within the network. Proper understanding of the network structure can assist us in knowing how the information is exchanged among members and enhance survivability among DPOW. 30 DPOW were involved in this study. Degree centrality and betweenness centrality measurement in Social Network Analysis (SNA) were used to examine the strength relation and identify influential webloggers within the network. Thus, webloggers with the highest value of these measurements are considered as the most influential webloggers in the network.

  10. Performance Analysis: Work Control Events Identified January - August 2010

    Energy Technology Data Exchange (ETDEWEB)

    De Grange, C E; Freeman, J W; Kerr, C E; Holman, G; Marsh, K; Beach, R

    2011-01-14

    This performance analysis evaluated 24 events that occurred at LLNL from January through August 2010. The analysis identified areas of potential work control process and/or implementation weaknesses and several common underlying causes. Human performance improvement and safety culture factors were part of the causal analysis of each event and were analyzed. The collective significance of all events in 2010, as measured by the occurrence reporting significance category and by the proportion of events that have been reported to the DOE ORPS under the ''management concerns'' reporting criteria, does not appear to have increased in 2010. The frequency of reporting in each of the significance categories has not changed in 2010 compared to the previous four years. There is no change indicating a trend in the significance category and there has been no increase in the proportion of occurrences reported in the higher significance category. Also, the frequency of events, 42 events reported through August 2010, is not greater than in previous years and is below the average of 63 occurrences per year at LLNL since 2006. Over the previous four years, an average of 43% of the LLNL's reported occurrences have been reported as either ''management concerns'' or ''near misses.'' In 2010, 29% of the occurrences have been reported as ''management concerns'' or ''near misses.'' This rate indicates that LLNL is now reporting fewer ''management concern'' and ''near miss'' occurrences compared to the previous four years. From 2008 to the present, LLNL senior management has undertaken a series of initiatives to strengthen the work planning and control system with the primary objective to improve worker safety. In 2008, the LLNL Deputy Director established the Work Control Integrated Project Team to develop the core requirements and graded

  11. Directional reflectance analysis for identifying counterfeit drugs: Preliminary study.

    Science.gov (United States)

    Wilczyński, Sławomir; Koprowski, Robert; Błońska-Fajfrowska, Barbara

    2016-05-30

    The WHO estimates that up to 10% of drugs on the market may be counterfeit. In order to prevent intensification of the phenomenon of drug counterfeiting, the methods for distinguishing genuine medicines from fake ones need to be developed. The aim of this study was to try to develop simple, reproducible and inexpensive method for distinguishing between original and counterfeit medicines based on the measurement of directional reflectance. The directional reflectance of 6 original Viagra(®) tablets (Pfizer) and 24 (4 different batches) counterfeit tablets (imitating Viagra(®)) was examined in six spectral bands: from 0.9 to 1.1 μm, from 1.9 to 2.6 μm, from 3.0 to 4.0 μm, from 3.0 to 5.0 μm, from 4.0 to 5.0 μm, from 8.0 to 12.0 μm, and for two angles of incidence, 20° and 60°. Directional hemispherical reflectometer was applied to measure directional reflectance. Significant statistical differences between the directional reflectance of the original Viagra(®) and counterfeit tablets were registered. Any difference in the value of directional reflectance for any spectral band or angle of incidence identifies the drug as a fake one. The proposed method of directional reflectance analysis enables to differentiate between the real Viagra(®) and fake tablets. Directional reflectance analysis is a fast (measurement time under 5s), cheap and reproducible method which does not require expensive equipment or specialized laboratory staff. It also seems to be an effective method, however, the effectiveness will be assessed after the extension of research. PMID:26977587

  12. Global secretome analysis identifies novel mediators of bone metastasis

    Institute of Scientific and Technical Information of China (English)

    Mario Andres Blanco; Gary LeRoy; Zia Khan; Ma(s)a Ale(c)kovi(c); Barry M Zee; Benjamin A Garcia; Yibin Kang

    2012-01-01

    Bone is the one of the most common sites of distant metastasis of solid tumors.Secreted proteins are known to influence pathological interactions between metastatic cancer cells and the bone stroma.To comprehensively profile secreted proteins associated with bone metastasis,we used quantitative and non-quantitative mass spectrometry to globally analyze the secretomes of nine cell lines of varying bone metastatic ability from multiple species and cancer types.By comparing the secretomes of parental cells and their bone metastatic derivatives,we identified the secreted proteins that were uniquely associated with bone metastasis in these cell lines.We then incorporated bioinformatic analyses of large clinical metastasis datasets to obtain a list of candidate novel bone metastasis proteins of several functional classes that were strongly associated with both clinical and experimental bone metastasis.Functional validation of selected proteins indicated that in vivo bone metastasis can be promoted by high expression of (1) the salivary cystatins CST1,CST2,and CST4; (2) the plasminogen activators PLAT and PLAU; or (3) the collagen functionality proteins PLOD2 and COL6A1.Overall,our study has uncovered several new secreted mediators of bone metastasis and therefore demonstrated that secretome analysis is a powerful method for identification of novel biomarkers and candidate therapeutic targets.

  13. A Sensitivity Analysis Approach to Identify Key Environmental Performance Factors

    Directory of Open Access Journals (Sweden)

    Xi Yu

    2014-01-01

    Full Text Available Life cycle assessment (LCA is widely used in design phase to reduce the product’s environmental impacts through the whole product life cycle (PLC during the last two decades. The traditional LCA is restricted to assessing the environmental impacts of a product and the results cannot reflect the effects of changes within the life cycle. In order to improve the quality of ecodesign, it is a growing need to develop an approach which can reflect the changes between the design parameters and product’s environmental impacts. A sensitivity analysis approach based on LCA and ecodesign is proposed in this paper. The key environmental performance factors which have significant influence on the products’ environmental impacts can be identified by analyzing the relationship between environmental impacts and the design parameters. Users without much environmental knowledge can use this approach to determine which design parameter should be first considered when (redesigning a product. A printed circuit board (PCB case study is conducted; eight design parameters are chosen to be analyzed by our approach. The result shows that the carbon dioxide emission during the PCB manufacture is highly sensitive to the area of PCB panel.

  14. Global secretome analysis identifies novel mediators of bone metastasis.

    Science.gov (United States)

    Blanco, Mario Andres; LeRoy, Gary; Khan, Zia; Alečković, Maša; Zee, Barry M; Garcia, Benjamin A; Kang, Yibin

    2012-09-01

    Bone is the one of the most common sites of distant metastasis of solid tumors. Secreted proteins are known to influence pathological interactions between metastatic cancer cells and the bone stroma. To comprehensively profile secreted proteins associated with bone metastasis, we used quantitative and non-quantitative mass spectrometry to globally analyze the secretomes of nine cell lines of varying bone metastatic ability from multiple species and cancer types. By comparing the secretomes of parental cells and their bone metastatic derivatives, we identified the secreted proteins that were uniquely associated with bone metastasis in these cell lines. We then incorporated bioinformatic analyses of large clinical metastasis datasets to obtain a list of candidate novel bone metastasis proteins of several functional classes that were strongly associated with both clinical and experimental bone metastasis. Functional validation of selected proteins indicated that in vivo bone metastasis can be promoted by high expression of (1) the salivary cystatins CST1, CST2, and CST4; (2) the plasminogen activators PLAT and PLAU; or (3) the collagen functionality proteins PLOD2 and COL6A1. Overall, our study has uncovered several new secreted mediators of bone metastasis and therefore demonstrated that secretome analysis is a powerful method for identification of novel biomarkers and candidate therapeutic targets. PMID:22688892

  15. Identifying redundancy and exposing provenance in crowdsourced data analysis.

    Science.gov (United States)

    Willett, Wesley; Ginosar, Shiry; Steinitz, Avital; Hartmann, Björn; Agrawala, Maneesh

    2013-12-01

    We present a system that lets analysts use paid crowd workers to explore data sets and helps analysts interactively examine and build upon workers' insights. We take advantage of the fact that, for many types of data, independent crowd workers can readily perform basic analysis tasks like examining views and generating explanations for trends and patterns. However, workers operating in parallel can often generate redundant explanations. Moreover, because workers have different competencies and domain knowledge, some responses are likely to be more plausible than others. To efficiently utilize the crowd's work, analysts must be able to quickly identify and consolidate redundant responses and determine which explanations are the most plausible. In this paper, we demonstrate several crowd-assisted techniques to help analysts make better use of crowdsourced explanations: (1) We explore crowd-assisted strategies that utilize multiple workers to detect redundant explanations. We introduce color clustering with representative selection--a strategy in which multiple workers cluster explanations and we automatically select the most-representative result--and show that it generates clusterings that are as good as those produced by experts. (2) We capture explanation provenance by introducing highlighting tasks and capturing workers' browsing behavior via an embedded web browser, and refine that provenance information via source-review tasks. We expose this information in an explanation-management interface that allows analysts to interactively filter and sort responses, select the most plausible explanations, and decide which to explore further. PMID:24051786

  16. B cell TLR1/2, TLR4, TLR7 and TLR9 interact in induction of class switch DNA recombination: modulation by BCR and CD40, and relevance to T-independent antibody responses.

    Science.gov (United States)

    Pone, Egest J; Lou, Zheng; Lam, Tonika; Greenberg, Milton L; Wang, Rui; Xu, Zhenming; Casali, Paolo

    2015-02-01

    Ig class switch DNA recombination (CSR) in B cells is crucial to the maturation of antibody responses. It requires IgH germline IH-CH transcription and expression of AID, both of which are induced by engagement of CD40 or dual engagement of a Toll-like receptor (TLR) and B cell receptor (BCR). Here, we have addressed cross-regulation between two different TLRs or between a TLR and CD40 in CSR induction by using a B cell stimulation system involving lipopolysaccharides (LPS). LPS-mediated long-term primary class-switched antibody responses and memory-like antibody responses in vivo and induced generation of class-switched B cells and plasma cells in vitro. Consistent with the requirement for dual TLR and BCR engagement in CSR induction, LPS, which engages TLR4 through its lipid A moiety, triggered cytosolic Ca2+ flux in B cells through its BCR-engaging polysaccharidic moiety. In the presence of BCR crosslinking, LPS synergized with a TLR1/2 ligand (Pam3CSK4) in CSR induction, but much less efficiently with a TLR7 (R-848) or TLR9 (CpG) ligand. In the absence of BCR crosslinking, R-848 and CpG, which per se induced marginal CSR, virtually abrogated CSR to IgG1, IgG2a, IgG2b, IgG3 and/or IgA, as induced by LPS or CD154 (CD40 ligand) plus IL-4, IFN-γ or TGF-β, and reduced secretion of class-switched Igs, without affecting B cell proliferation or IgM expression. The CSR inhibition by TLR9 was associated with the reduction in AID expression and/or IgH germline IH-S-CH transcription, and required co-stimulation of B cells by CpG with LPS or CD154. Unexpectedly, B cells also failed to undergo CSR or plasma cell differentiation when co-stimulated by LPS and CD154. Overall, by addressing the interaction of TLR1/2, TLR4, TLR7 and TLR9 in the induction of CSR and modulation of TLR-dependent CSR by BCR and CD40, our study suggests the complexity of how different stimuli cross-regulate an important B cell differentiation process and an important role of TLRs in inducing

  17. Identifying Phytoplankton Classes In California Reservoirs Using HPLC Pigment Analysis

    Science.gov (United States)

    Siddiqui, S.; Peacock, M. B.; Kudela, R. M.; Negrey, K.

    2014-12-01

    Few bodies of water are routinely monitored for phytoplankton composition due to monetary and time constraints, especially the less accessible bodies of water in central and southern California. These lakes and estuaries are important for economic reasons such as tourism and fishing. This project investigated the composition of phytoplankton present using pigment analysis to identify dominant phytoplankton groups. A total of 28 different sites with a wide range of salinity (0 - 60) in central and southern California were examined. These included 13 different bodies of water in central California: 6 in the Sierras, 7 in the San Francisco Bay Estuary, and 15 from southern California. The samples were analyzed using high-performance liquid-chromatography (HPLC) to quantify the pigments present (using retention time and the spectral thumbprint). Diagnostic pigments were used to indicate the phytoplankton class composition, focusing on diatoms, dinoflagellates, cryptophytes, and cyanobacteria - all key phytoplankton groups indicative of the health of the sampled reservoir. Our results indicated that cyanobacteria dominated four of the seven bodies of central California water (Mono Lake, Bridgeport Reservoir, Steamboat Slough, and Pinto Lake); cryptophytes and nannoflagellates dominated two of the central California bodies of water (Mare Island Strait and Topaz Lake); and diatoms and dinoflagellates dominated one central California body of water, Oakland Inner Harbor, comprising more than 70% of the phytoplankton present. We expect the bodies of water from Southern California to be as disparate. Though this data is only a snapshot, it has significant implications in comparing different ecosystems across California, and it has the potential to provide valuable insight into the composition of phytoplankton communities.

  18. Integrating subpathway analysis to identify candidate agents for hepatocellular carcinoma.

    Science.gov (United States)

    Wang, Jiye; Li, Mi; Wang, Yun; Liu, Xiaoping

    2016-01-01

    Hepatocellular carcinoma (HCC) is the second most common cause of cancer-associated death worldwide, characterized by a high invasiveness and resistance to normal anticancer treatments. The need to develop new therapeutic agents for HCC is urgent. Here, we developed a bioinformatics method to identify potential novel drugs for HCC by integrating HCC-related and drug-affected subpathways. By using the RNA-seq data from the TCGA (The Cancer Genome Atlas) database, we first identified 1,763 differentially expressed genes between HCC and normal samples. Next, we identified 104 significant HCC-related subpathways. We also identified the subpathways associated with small molecular drugs in the CMap database. Finally, by integrating HCC-related and drug-affected subpathways, we identified 40 novel small molecular drugs capable of targeting these HCC-involved subpathways. In addition to previously reported agents (ie, calmidazolium), our method also identified potentially novel agents for targeting HCC. We experimentally verified that one of these novel agents, prenylamine, induced HCC cell apoptosis using 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide, an acridine orange/ethidium bromide stain, and electron microscopy. In addition, we found that prenylamine not only affected several classic apoptosis-related proteins, including Bax, Bcl-2, and cytochrome c, but also increased caspase-3 activity. These candidate small molecular drugs identified by us may provide insights into novel therapeutic approaches for HCC. PMID:27022281

  19. Cell-type specific recognition of human Metapneumoviruses by RIG-I and TLR7 and viral interference of RIG-I ligand recognition by HMPVB1 Phosphoprotein

    OpenAIRE

    Goutagny, Nadege; Jiang, Zhaozhao; Tian, Jane; Parroche, Peggy; Schlicki, Jeanne; Monks, Brian G; Ulbrandt, Nancy; Ji, Hong; Kiener, Peter; Coyle, Anthony J.; Fitzgerald, Katherine A.

    2009-01-01

    Human Metapneumoviruses (HMPV) are recently identified Paramyxoviridae that contribute to respiratory tract infections in children. No effective treatments or vaccines are available. Successful defense against virus infection relies on early detection by germline encoded pattern recognition receptors and activation of cytokine and type I interferon genes. Recently, the RNA helicase Retinoic acid inducible gene (RIG-I) has been shown to sense HMPV. In this study, we investigated the ability of...

  20. Market Analysis Identifies Community and School Education Goals.

    Science.gov (United States)

    Lindle, Jane C.

    1989-01-01

    Principals must realize the positive effects that marketing can have on improving schools and building support for them. Market analysis forces clarification of the competing needs and interests present in the community. The four marketing phases are needs assessment, analysis, goal setting, and public relations and advertising. (MLH)

  1. Structural parameter identifiability analysis for dynamic reaction networks

    DEFF Research Database (Denmark)

    Davidescu, Florin Paul; Jørgensen, Sten Bay

    2008-01-01

    A fundamental problem in model identification is to investigate whether unknown parameters in a given model structure potentially can be uniquely recovered from experimental data. This issue of global or structural identifiability is essential during nonlinear first principles model development...... where for a given set of measured variables it is desirable to investigate which parameters may be estimated prior to spending computational effort on the actual estimation. This contribution addresses the structural parameter identifiability problem for the typical case of reaction network models. The...

  2. Use of Photogrammetry and Biomechanical Gait analysis to Identify Individuals

    DEFF Research Database (Denmark)

    Larsen, Peter Kastmand; Simonsen, Erik Bruun; Lynnerup, Niels

    Photogrammetry and recognition of gait patterns are valuable tools to help identify perpetrators based on surveillance recordings. We have found that stature but only few other measures have a satisfying reproducibility for use in forensics. Several gait variables with high recognition rates were...

  3. Rice transcriptome analysis to identify possible herbicide quinclorac detoxification genes

    OpenAIRE

    Xu, Wenying; Di, Chao; Zhou, Shaoxia; Liu, Jia; LI Li; Liu, Fengxia; Yang, Xinling; Ling, Yun; Su, Zhen

    2015-01-01

    Quinclorac is a highly selective auxin-type herbicide and is widely used in the effective control of barnyard grass in paddy rice fields, improving the world's rice yield. The herbicide mode of action of quinclorac has been proposed, and hormone interactions affecting quinclorac signaling has been identified. Because of widespread use, quinclorac may be transported outside rice fields with the drainage waters, leading to soil and water pollution and other environmental health problems. In thi...

  4. Association analysis identifies ZNF750 regulatory variants in psoriasis

    Directory of Open Access Journals (Sweden)

    Birnbaum Ramon Y

    2011-12-01

    Full Text Available Abstract Background Mutations in the ZNF750 promoter and coding regions have been previously associated with Mendelian forms of psoriasis and psoriasiform dermatitis. ZNF750 encodes a putative zinc finger transcription factor that is highly expressed in keratinocytes and represents a candidate psoriasis gene. Methods We examined whether ZNF750 variants were associated with psoriasis in a large case-control population. We sequenced the promoter and exon regions of ZNF750 in 716 Caucasian psoriasis cases and 397 Caucasian controls. Results We identified a total of 47 variants, including 38 rare variants of which 35 were novel. Association testing identified two ZNF750 haplotypes associated with psoriasis (p ZNF750 promoter and 5' UTR variants displayed a 35-55% reduction of ZNF750 promoter activity, consistent with the promoter activity reduction seen in a Mendelian psoriasis family with a ZNF750 promoter variant. However, the rare promoter and 5' UTR variants identified in this study did not strictly segregate with the psoriasis phenotype within families. Conclusions Two haplotypes of ZNF750 and rare 5' regulatory variants of ZNF750 were found to be associated with psoriasis. These rare 5' regulatory variants, though not causal, might serve as a genetic modifier of psoriasis.

  5. Evaluation of energy system analysis techniques for identifying underground facilities

    Energy Technology Data Exchange (ETDEWEB)

    VanKuiken, J.C.; Kavicky, J.A.; Portante, E.C. [and others

    1996-03-01

    This report describes the results of a study to determine the feasibility and potential usefulness of applying energy system analysis techniques to help detect and characterize underground facilities that could be used for clandestine activities. Four off-the-shelf energy system modeling tools were considered: (1) ENPEP (Energy and Power Evaluation Program) - a total energy system supply/demand model, (2) ICARUS (Investigation of Costs and Reliability in Utility Systems) - an electric utility system dispatching (or production cost and reliability) model, (3) SMN (Spot Market Network) - an aggregate electric power transmission network model, and (4) PECO/LF (Philadelphia Electric Company/Load Flow) - a detailed electricity load flow model. For the purposes of most of this work, underground facilities were assumed to consume about 500 kW to 3 MW of electricity. For some of the work, facilities as large as 10-20 MW were considered. The analysis of each model was conducted in three stages: data evaluation, base-case analysis, and comparative case analysis. For ENPEP and ICARUS, open source data from Pakistan were used for the evaluations. For SMN and PECO/LF, the country data were not readily available, so data for the state of Arizona were used to test the general concept.

  6. Identifying Colluvial Slopes by Airborne LiDAR Analysis

    Science.gov (United States)

    Kasai, M.; Marutani, T.; Yoshida, H.

    2015-12-01

    Colluvial slopes are one of major sources of landslides. Identifying the locations of the slopes will help reduce the risk of disasters, by avoiding building infrastructure and properties nearby, or if they are already there, by applying appropriate counter measures before it suddenly moves. In this study, airborne LiDAR data was analyzed to find their geomorphic characteristics to use for extracting their locations. The study site was set in the suburb of Sapporo City, Hokkaido in Japan. The area is underlain by Andesite and Tuff and prone to landslides. Slope angle and surface roughness were calculated from 5 m resolution DEM. These filters were chosen because colluvial materials deposit at around the angle of repose and accumulation of loose materials was considered to form a peculiar surface texture differentiable from other slope types. Field survey conducted together suggested that colluvial slopes could be identified by the filters with a probability of 80 percent. Repeat LiDAR monitoring of the site by an unmanned helicopter indicated that those slopes detected as colluviums appeared to be moving at a slow rate. In comparison with a similar study from the crushed zone in Japan, the range of slope angle indicative of colluviums agreed with the Sapporo site, while the texture was rougher due to larger debris composing the slopes.

  7. Temperature-based Instanton Analysis: Identifying Vulnerability in Transmission Networks

    Energy Technology Data Exchange (ETDEWEB)

    Kersulis, Jonas [Univ. of Michigan, Ann Arbor, MI (United States); Hiskens, Ian [Univ. of Michigan, Ann Arbor, MI (United States); Chertkov, Michael [Los Alamos National Lab. (LANL), Los Alamos, NM (United States); Backhaus, Scott N. [Los Alamos National Lab. (LANL), Los Alamos, NM (United States); Bienstock, Daniel [Columbia Univ., New York, NY (United States)

    2015-04-08

    A time-coupled instanton method for characterizing transmission network vulnerability to wind generation fluctuation is presented. To extend prior instanton work to multiple-time-step analysis, line constraints are specified in terms of temperature rather than current. An optimization formulation is developed to express the minimum wind forecast deviation such that at least one line is driven to its thermal limit. Results are shown for an IEEE RTS-96 system with several wind-farms.

  8. Efficacy of fractal analysis in identifying glaucomatous damage

    Science.gov (United States)

    Kim, P. Y.; Iftekharuddin, K. M.; Gunvant, P.; Tóth, M.; Holló, G.; Essock, E. A.

    2010-02-01

    In this work, we propose a novel fractal-based technique to analyze pseudo 2D representation of 1D retinal nerve fiber layer (RNFL) thickness measurement data vector set for early detection of glaucoma. In our proposed technique, we first convert the 1D RNFL data vector sets into pseudo 2D images and then exploit 2D fractal analysis (FA) technique to obtain the representative features. These 2D fractal-based features are further processed using principal component analysis (PCA) and the final classification between normal and glaucomatous eyes is obtained using Fischer's linear discriminant analysis (LDA). An independent dataset is used for training and testing the classifier. The technique is used on randomly selected GDx variable corneal compensator (VCC) eye data from 227 study participants (116 patients with glaucoma and 111 patients with healthy eyes). We compute sensitivity, specificity and area under receiver operating curve (AUROC) for statistical performance comparison with other known techniques. Our classification performance shows that fractal-based technique is superior to the standard machine classifier Nerve Fiber Indicator (NFI).

  9. Predicting missing links and identifying spurious links via likelihood analysis.

    Science.gov (United States)

    Pan, Liming; Zhou, Tao; Lü, Linyuan; Hu, Chin-Kun

    2016-01-01

    Real network data is often incomplete and noisy, where link prediction algorithms and spurious link identification algorithms can be applied. Thus far, it lacks a general method to transform network organizing mechanisms to link prediction algorithms. Here we use an algorithmic framework where a network's probability is calculated according to a predefined structural Hamiltonian that takes into account the network organizing principles, and a non-observed link is scored by the conditional probability of adding the link to the observed network. Extensive numerical simulations show that the proposed algorithm has remarkably higher accuracy than the state-of-the-art methods in uncovering missing links and identifying spurious links in many complex biological and social networks. Such method also finds applications in exploring the underlying network evolutionary mechanisms. PMID:26961965

  10. One Dose of Staphylococcus aureus 4C-Staph Vaccine Formulated with a Novel TLR7-Dependent Adjuvant Rapidly Protects Mice through Antibodies, Effector CD4+ T Cells, and IL-17A

    Science.gov (United States)

    Mancini, Francesca; Monaci, Elisabetta; Lofano, Giuseppe; Torre, Antonina; Bacconi, Marta; Tavarini, Simona; Sammicheli, Chiara; Arcidiacono, Letizia; Galletti, Bruno; Laera, Donatello; Pallaoro, Michele; Tuscano, Giovanna; Fontana, Maria Rita; Bensi, Giuliano; Grandi, Guido; Rossi-Paccani, Silvia; Nuti, Sandra; Rappuoli, Rino; De Gregorio, Ennio; Bagnoli, Fabio; Soldaini, Elisabetta; Bertholet, Sylvie

    2016-01-01

    A rapidly acting, single dose vaccine against Staphylococcus aureus would be highly beneficial for patients scheduled for major surgeries or in intensive care units. Here we show that one immunization with a multicomponent S. aureus candidate vaccine, 4C-Staph, formulated with a novel TLR7-dependent adjuvant, T7-alum, readily protected mice from death and from bacterial dissemination, both in kidney abscess and peritonitis models, outperforming alum-formulated vaccine. This increased efficacy was paralleled by higher vaccine-specific and α-hemolysin-neutralizing antibody titers and Th1/Th17 cell responses. Antibodies played a crucial protective role, as shown by the lack of protection of 4C-Staph/T7-alum vaccine in B-cell-deficient mice and by serum transfer experiments. Depletion of effector CD4+ T cells not only reduced survival but also increased S. aureus load in kidneys of mice immunized with 4C-Staph/T7-alum. The role of IL-17A in the control of bacterial dissemination in 4C-Staph/T7-alum vaccinated mice was indicated by in vivo neutralization experiments. We conclude that single dose 4C-Staph/T7-alum vaccine promptly and efficiently protected mice against S. aureus through the combined actions of antibodies, CD4+ effector T cells, and IL-17A. These data suggest that inclusion of an adjuvant that induces not only fast antibody responses but also IL-17-producing cell-mediated effector responses could efficaciously protect patients scheduled for major surgeries or in intensive care units. PMID:26812180

  11. Network stratification analysis for identifying function-specific network layers.

    Science.gov (United States)

    Zhang, Chuanchao; Wang, Jiguang; Zhang, Chao; Liu, Juan; Xu, Dong; Chen, Luonan

    2016-04-22

    A major challenge of systems biology is to capture the rewiring of biological functions (e.g. signaling pathways) in a molecular network. To address this problem, we proposed a novel computational framework, namely network stratification analysis (NetSA), to stratify the whole biological network into various function-specific network layers corresponding to particular functions (e.g. KEGG pathways), which transform the network analysis from the gene level to the functional level by integrating expression data, the gene/protein network and gene ontology information altogether. The application of NetSA in yeast and its comparison with a traditional network-partition both suggest that NetSA can more effectively reveal functional implications of network rewiring and extract significant phenotype-related biological processes. Furthermore, for time-series or stage-wise data, the function-specific network layer obtained by NetSA is also shown to be able to characterize the disease progression in a dynamic manner. In particular, when applying NetSA to hepatocellular carcinoma and type 1 diabetes, we can derive functional spectra regarding the progression of the disease, and capture active biological functions (i.e. active pathways) in different disease stages. The additional comparison between NetSA and SPIA illustrates again that NetSA could discover more complete biological functions during disease progression. Overall, NetSA provides a general framework to stratify a network into various layers of function-specific sub-networks, which can not only analyze a biological network on the functional level but also investigate gene rewiring patterns in biological processes. PMID:26879865

  12. Potential of isotope analysis (C, Cl) to identify dechlorination mechanisms

    Science.gov (United States)

    Cretnik, Stefan; Thoreson, Kristen; Bernstein, Anat; Ebert, Karin; Buchner, Daniel; Laskov, Christine; Haderlein, Stefan; Shouakar-Stash, Orfan; Kliegman, Sarah; McNeill, Kristopher; Elsner, Martin

    2013-04-01

    Chloroethenes are commonly used in industrial applications, and detected as carcinogenic contaminants in the environment. Their dehalogenation is of environmental importance in remediation processes. However, a detailed understanding frequently accounted problem is the accumulation of toxic degradation products such as cis-dichloroethylene (cis-DCE) at contaminated sites. Several studies have addressed the reductive dehalogenation reactions using biotic and abiotic model systems, but a crucial question in this context has remained open: Do environmental transformations occur by the same mechanism as in their corresponding in vitro model systems? The presented study shows the potential to close this research gap using the latest developments in compound specific chlorine isotope analysis, which make it possible to routinely measure chlorine isotope fractionation of chloroethenes in environmental samples and complex reaction mixtures.1,2 In particular, such chlorine isotope analysis enables the measurement of isotope fractionation for two elements (i.e., C and Cl) in chloroethenes. When isotope values of both elements are plotted against each other, different slopes reflect different underlying mechanisms and are remarkably insensitive towards masking. Our results suggest that different microbial strains (G. lovleyi strain SZ, D. hafniense Y51) and the isolated cofactor cobalamin employ similar mechanisms of reductive dechlorination of TCE. In contrast, evidence for a different mechanism was obtained with cobaloxime cautioning its use as a model for biodegradation. The study shows the potential of the dual isotope approach as a tool to directly compare transformation mechanisms of environmental scenarios, biotic transformations, and their putative chemical lab scale systems. Furthermore, it serves as an essential reference when using the dual isotope approach to assess the fate of chlorinated compounds in the environment.

  13. [Research of Identify Spatial Object Using Spectrum Analysis Technique].

    Science.gov (United States)

    Song, Wei; Feng, Shi-qi; Shi, Jing; Xu, Rong; Wang, Gong-chang; Li, Bin-yu; Liu, Yu; Li, Shuang; Cao Rui; Cai, Hong-xing; Zhang, Xi-he; Tan, Yong

    2015-06-01

    The high precision scattering spectrum of spatial fragment with the minimum brightness of 4.2 and the resolution of 0.5 nm has been observed using spectrum detection technology on the ground. The obvious differences for different types of objects are obtained by the normalizing and discrete rate analysis of the spectral data. Each of normalized multi-frame scattering spectral line shape for rocket debris is identical. However, that is different for lapsed satellites. The discrete rate of the single frame spectrum of normalized space debris for rocket debris ranges from 0.978% to 3.067%, and the difference of oscillation and average value is small. The discrete rate for lapsed satellites ranges from 3.118 4% to 19.472 7%, and the difference of oscillation and average value relatively large. The reason is that the composition of rocket debris is single, while that of the lapsed satellites is complex. Therefore, the spectrum detection technology on the ground can be used to the classification of the spatial fragment. PMID:26601348

  14. Identifying a preservation zone using multi–criteria decision analysis

    Directory of Open Access Journals (Sweden)

    Farashi, A.

    2016-03-01

    Full Text Available Zoning of a protected area is an approach to partition landscape into various land use units. The management of these landscape units can reduce conflicts caused by human activities. Tandoreh National Park is one of the most biologically diverse, protected areas in Iran. Although the area is generally designed to protect biodiversity, there are many conflicts between biodiversity conservation and human activities. For instance, the area is highly controversial and has been considered as an impediment to local economic development, such as tourism, grazing, road construction, and cultivation. In order to reduce human conflicts with biodiversity conservation in Tandoreh National Park, safe zones need to be established and human activities need to be moved out of the zones. In this study we used a systematic methodology to integrate a participatory process with Geographic Information Systems (GIS using a multi–criteria decision analysis (MCDA technique to guide a zoning scheme for the Tandoreh National Park, Iran. Our results show that the northern and eastern parts of the Tandoreh National Park that were close to rural areas and farmlands returned less desirability for selection as a preservation area. Rocky Mountains were the most important and most destructed areas and abandoned plains were the least important criteria for preservation in the area. Furthermore, the results reveal that the land properties were considered to be important for protection based on the obtaine

  15. Meconium microbiome analysis identifies bacteria correlated with premature birth.

    Directory of Open Access Journals (Sweden)

    Alexandria N Ardissone

    Full Text Available Preterm birth is the second leading cause of death in children under the age of five years worldwide, but the etiology of many cases remains enigmatic. The dogma that the fetus resides in a sterile environment is being challenged by recent findings and the question has arisen whether microbes that colonize the fetus may be related to preterm birth. It has been posited that meconium reflects the in-utero microbial environment. In this study, correlations between fetal intestinal bacteria from meconium and gestational age were examined in order to suggest underlying mechanisms that may contribute to preterm birth.Meconium from 52 infants ranging in gestational age from 23 to 41 weeks was collected, the DNA extracted, and 16S rRNA analysis performed. Resulting taxa of microbes were correlated to clinical variables and also compared to previous studies of amniotic fluid and other human microbiome niches.Increased detection of bacterial 16S rRNA in meconium of infants of <33 weeks gestational age was observed. Approximately 61·1% of reads sequenced were classified to genera that have been reported in amniotic fluid. Gestational age had the largest influence on microbial community structure (R = 0·161; p = 0·029, while mode of delivery (C-section versus vaginal delivery had an effect as well (R = 0·100; p = 0·044. Enterobacter, Enterococcus, Lactobacillus, Photorhabdus, and Tannerella, were negatively correlated with gestational age and have been reported to incite inflammatory responses, suggesting a causative role in premature birth.This provides the first evidence to support the hypothesis that the fetal intestinal microbiome derived from swallowed amniotic fluid may be involved in the inflammatory response that leads to premature birth.

  16. Analysis of Maize Crop Leaf using Multivariate Image Analysis for Identifying Soil Deficiency

    Directory of Open Access Journals (Sweden)

    S. Sridevy

    2014-11-01

    Full Text Available Image processing analysis for the soil deficiency identification has become an active area of research in this study. The changes in the color of the leaves are used to analyze and identify the deficiency of soil nutrients such as Nitrogen (N, Phosphorus (P and potassium (K by digital color image analysis. This research study focuses on the image analysis of the maize crop leaf using multivariate image analysis. In this proposed novel approach, initially, a color transformation for the input RGB image is formed and this RGB is converted to HSV because RGB is ideal for color generation but HSV is very suitable for color perception. Then green pixels are masked and removed using specific threshold value by applying histogram equalization. This masking approach is done through specific customized filtering approach which exclusively filters the green color of the leaf. After the filtering step, only the deficiency part of the leaf is taken for consideration. Then, a histogram generation is carried out for the deficiency part of the leaf. Then, Multivariate Image Analysis approach using Independent Component Analysis (ICA is carried out to extract a reference eigenspace from a matrix built by unfolding color data from the deficiency part. Test images are also unfolded and projected onto the reference eigenspace and the result is a score matrix which is used to compute nutrient deficiency based on the T2 statistic. In addition, a multi-resolution scheme by scaling down process is carried out to speed up the process. Finally, based on the training samples, the soil deficiency is identified based on the color of the maize crop leaf.

  17. Assessing Reliability of Cellulose Hydrolysis Models to Support Biofuel Process Design – Identifiability and Uncertainty Analysis

    DEFF Research Database (Denmark)

    Sin, Gürkan; Meyer, Anne S.; Gernaey, Krist

    2010-01-01

    The reliability of cellulose hydrolysis models is studied using the NREL model. An identifiability analysis revealed that only 6 out of 26 parameters are identifiable from the available data (typical hydrolysis experiments). Attempting to identify a higher number of parameters (as done in the...

  18. A Numerical Procedure for Model Identifiability Analysis Applied to Enzyme Kinetics

    DEFF Research Database (Denmark)

    Daele, Timothy, Van; Van Hoey, Stijn; Gernaey, Krist;

    2015-01-01

    structure evaluation by assessing the local identifiability characteristics of the parameters. Moreover, such a procedure should be generic to make sure it can be applied independent from the structure of the model. We hereby apply a numerical identifiability approach which is based on the work of Walter...... and Pronzato (1997) and which can be easily set up for any type of model. In this paper the proposed approach is applied to the forward reaction rate of the enzyme kinetics proposed by Shin and Kim(1998). Structural identifiability analysis showed that no local structural model problems were occurring....... In contrast, the practical identifiability analysis revealed that high values of the forward rate parameter Vf led to identifiability problems. These problems were even more pronounced athigher substrate concentrations, which illustrates the importance of a proper experimental designto avoid...

  19. Consolidating metabolite identifiers to enable contextual and multi-platform metabolomics data analysis

    Directory of Open Access Journals (Sweden)

    Saito Kazuki

    2010-04-01

    Full Text Available Abstract Background Analysis of data from high-throughput experiments depends on the availability of well-structured data that describe the assayed biomolecules. Procedures for obtaining and organizing such meta-data on genes, transcripts and proteins have been streamlined in many data analysis packages, but are still lacking for metabolites. Chemical identifiers are notoriously incoherent, encompassing a wide range of different referencing schemes with varying scope and coverage. Online chemical databases use multiple types of identifiers in parallel but lack a common primary key for reliable database consolidation. Connecting identifiers of analytes found in experimental data with the identifiers of their parent metabolites in public databases can therefore be very laborious. Results Here we present a strategy and a software tool for integrating metabolite identifiers from local reference libraries and public databases that do not depend on a single common primary identifier. The program constructs groups of interconnected identifiers of analytes and metabolites to obtain a local metabolite-centric SQLite database. The created database can be used to map in-house identifiers and synonyms to external resources such as the KEGG database. New identifiers can be imported and directly integrated with existing data. Queries can be performed in a flexible way, both from the command line and from the statistical programming environment R, to obtain data set tailored identifier mappings. Conclusions Efficient cross-referencing of metabolite identifiers is a key technology for metabolomics data analysis. We provide a practical and flexible solution to this task and an open-source program, the metabolite masking tool (MetMask, available at http://metmask.sourceforge.net, that implements our ideas.

  20. Identifying Innovative Interventions to Promote Healthy Eating Using Consumption-Oriented Food Supply Chain Analysis

    OpenAIRE

    Hawkes, Corinna, ed.

    2009-01-01

    The mapping and analysis of supply chains is a technique increasingly used to address problems in the food system. Yet such supply chain management has not yet been applied as a means of encouraging healthier diets. Moreover, most policies recommended to promote healthy eating focus on the consumer end of the chain. This article proposes a consumption-oriented food supply chain analysis to identify the changes needed in the food supply chain to create a healthier food environment, measured in...

  1. Identifying Effective Spelling Interventions Using a Brief Experimental Analysis and Extended Analysis

    Science.gov (United States)

    McCurdy, Merilee; Clure, Lynne F.; Bleck, Amanda A.; Schmitz, Stephanie L.

    2016-01-01

    Spelling is an important skill that is crucial to effective written communication. In this study, brief experimental analysis procedures were used to examine spelling instruction strategies (e.g., whole word correction; word study strategy; positive practice; and cover, copy, and compare) for four students. In addition, an extended analysis was…

  2. Using Latent Class Analysis to Identify Academic and Behavioral Risk Status in Elementary Students

    Science.gov (United States)

    King, Kathleen R.; Lembke, Erica S.; Reinke, Wendy M.

    2016-01-01

    Identifying classes of children on the basis of academic and behavior risk may have important implications for the allocation of intervention resources within Response to Intervention (RTI) and Multi-Tiered System of Support (MTSS) models. Latent class analysis (LCA) was conducted with a sample of 517 third grade students. Fall screening scores in…

  3. Identifying Skill Requirements for GIS Positions: A Content Analysis of Job Advertisements

    Science.gov (United States)

    Hong, Jung Eun

    2016-01-01

    This study identifies the skill requirements for geographic information system (GIS) positions, including GIS analysts, programmers/developers/engineers, specialists, and technicians, through a content analysis of 946 GIS job advertisements from 2007-2014. The results indicated that GIS job applicants need to possess high levels of GIS analysis…

  4. Twelve type 2 diabetes susceptibility loci identified through large-scale association analysis

    DEFF Research Database (Denmark)

    Voight, Benjamin F; Scott, Laura J; Steinthorsdottir, Valgerdur;

    2010-01-01

    By combining genome-wide association data from 8,130 individuals with type 2 diabetes (T2D) and 38,987 controls of European descent and following up previously unidentified meta-analysis signals in a further 34,412 cases and 59,925 controls, we identified 12 new T2D association signals with combi...

  5. Identifying sustainability issues using participatory SWOT analysis - A case study of egg production in the Netherlands

    NARCIS (Netherlands)

    Mollenhorst, H.; Boer, de I.J.M.

    2004-01-01

    The aim of this paper was to demonstrate how participatory strengths, weaknesses, opportunities and threats (SWOT) analysis can be used to identify relevant economic, ecological and societal (EES) issues for the assessment of sustainable development. This is illustrated by the case of egg production

  6. Bioinformatics analysis identifies several intrinsically disordered human E3 ubiquitin-protein ligases

    DEFF Research Database (Denmark)

    Boomsma, Wouter; Nielsen, Sofie V; Lindorff-Larsen, Kresten;

    2016-01-01

    conduct a bioinformatics analysis to examine >600 human and S. cerevisiae E3 ligases to identify enzymes that are similar to San1 in terms of function and/or mechanism of substrate recognition. An initial sequence-based database search was found to detect candidates primarily based on the homology of...

  7. Application of Genome-Wide Expression Analysis To Identify Molecular Markers Useful in Monitoring Industrial Fermentations

    OpenAIRE

    Higgins, Vincent J.; Rogers, Peter J.; Dawes, Ian W.

    2003-01-01

    Genome-wide expression analysis of an industrial strain of Saccharomyces cerevisiae identified the YOR387c and YGL258w homologues as highly inducible in zinc-depleted conditions. Induction was specific for zinc deficiency and was dependent on Zap1p. The results indicate that these sequences may be valuable molecular markers for detecting zinc deficiency in industrial fermentations.

  8. Genome-wide association scan meta-analysis identifies three loci influencing adiposity and fat distribution

    NARCIS (Netherlands)

    C.M. Lindgren (Cecilia); I.M. Heid (Iris); J.C. Randall (Joshua); C. Lamina (Claudia); V. Steinthorsdottir (Valgerdur); L. Qi (Lu); E.K. Speliotes (Elizabeth); G. Thorleifsson (Gudmar); C.J. Willer (Cristen); B.M. Herrera (Blanca); A.U. Jackson (Anne); N. Lim (Noha); P. Scheet (Paul); N. Soranzo (Nicole); N. Amin (Najaf); Y.S. Aulchenko (Yurii); J.C. Chambers (John); A. Drong (Alexander); J. Luan; H.N. Lyon (Helen); F. Rivadeneira Ramirez (Fernando); S. Sanna (Serena); N. Timpson (Nicholas); M.C. Zillikens (Carola); H.Z. Jing; P. Almgren (Peter); S. Bandinelli (Stefania); A.J. Bennett (Amanda); R.N. Bergman (Richard); L.L. Bonnycastle (Lori); S. Bumpstead (Suzannah); S.J. Chanock (Stephen); L. Cherkas (Lynn); P.S. Chines (Peter); L. Coin (Lachlan); C. Cooper (Charles); G. Crawford (Gabe); A. Doering (Angela); A. Dominiczak (Anna); A.S.F. Doney (Alex); S. Ebrahim (Shanil); P. Elliott (Paul); M.R. Erdos (Michael); K. Estrada Gil (Karol); L. Ferrucci (Luigi); G. Fischer (Guido); N.G. Forouhi (Nita); C. Gieger (Christian); H. Grallert (Harald); C.J. Groves (Christopher); S.M. Grundy (Scott); C. Guiducci (Candace); D. Hadley (David); A. Hamsten (Anders); A.S. Havulinna (Aki); A. Hofman (Albert); R. Holle (Rolf); J.W. Holloway (John); T. Illig (Thomas); B. Isomaa (Bo); L.C. Jacobs (Leonie); K. Jameson (Karen); P. Jousilahti (Pekka); F. Karpe (Fredrik); J. Kuusisto (Johanna); J. Laitinen (Jaana); G.M. Lathrop (Mark); D.A. Lawlor (Debbie); M. Mangino (Massimo); W.L. McArdle (Wendy); T. Meitinger (Thomas); M.A. Morken (Mario); A.P. Morris (Andrew); P. Munroe (Patricia); N. Narisu (Narisu); A. Nordström (Anna); B.A. Oostra (Ben); C.N.A. Palmer (Colin); F. Payne (Felicity); J. Peden (John); I. Prokopenko (Inga); F. Renström (Frida); A. Ruokonen (Aimo); V. Salomaa (Veikko); M.S. Sandhu (Manjinder); L.J. Scott (Laura); A. Scuteri (Angelo); K. Silander (Kaisa); K. Song (Kijoung); X. Yuan (Xin); H.M. Stringham (Heather); A.J. Swift (Amy); T. Tuomi (Tiinamaija); M. Uda (Manuela); P. Vollenweider (Peter); G. Waeber (Gérard); C. Wallace (Chris); G.B. Walters (Bragi); M.N. Weedon (Michael); J.C.M. Witteman (Jacqueline); C. Zhang (Cuilin); M. Caulfield (Mark); F.S. Collins (Francis); G.D. Smith; I.N.M. Day (Ian); P.W. Franks (Paul); A.T. Hattersley (Andrew); F.B. Hu (Frank); M.R. Jarvelin; A. Kong (Augustine); J.S. Kooner (Jaspal); M. Laakso (Markku); E. Lakatta (Edward); V. Mooser (Vincent); L. Peltonen (Leena Johanna); N.J. Samani (Nilesh); T.D. Spector (Timothy); D.P. Strachan (David); T. Tanaka (Toshiko); J. Tuomilehto (Jaakko); A.G. Uitterlinden (André); P. Tikka-Kleemola (Päivi); N.J. Wareham (Nick); H. Watkins (Hugh); D. Waterworth (Dawn); M. Boehnke (Michael); P. Deloukas (Panagiotis); L. Groop (Leif); D.J. Hunter (David); U. Thorsteinsdottir (Unnur); D. Schlessinger (David); H.E. Wichmann (Erich); T.M. Frayling (Timothy); G.R. Abecasis (Gonçalo); J.N. Hirschhorn (Joel); R.J.F. Loos (Ruth); J-A. Zwart (John-Anker); K.L. Mohlke (Karen); I. Barroso (Inês); M.I. McCarthy (Mark)

    2009-01-01

    textabstractTo identify genetic loci influencing central obesity and fat distribution, we performed a meta-analysis of 16 genome-wide association studies (GWAS, N = 38,580) informative for adult waist circumference (WC) and waist-hip ratio (WHR). We selected 26 SNPs for follow-up, for which the evid

  9. Identifying Contingency Requirements using Obstacle Analysis on an Unpiloted Aerial Vehicle

    Science.gov (United States)

    Lutz, Robyn R.; Nelson, Stacy; Patterson-Hine, Ann; Frost, Chad R.; Tal, Doron

    2005-01-01

    This paper describes experience using Obstacle Analysis to identify contingency requirements on an unpiloted aerial vehicle. A contingency is an operational anomaly, and may or may not involve component failure. The challenges to this effort were: ( I ) rapid evolution of the system while operational, (2) incremental autonomy as capabilities were transferred from ground control to software control and (3) the eventual safety-criticality of such systems as they begin to fly over populated areas. The results reported here are preliminary but show that Obstacle Analysis helped (1) identify new contingencies that appeared as autonomy increased; (2) identify new alternatives for handling both previously known and new contingencies; and (3) investigate the continued validity of existing software requirements for contingency handling. Since many mobile, intelligent systems are built using a development process that poses the same challenges, the results appear to have applicability to other similar systems.

  10. Identifying the "Right Stuff": An Exploration-Focused Astronaut Job Analysis

    Science.gov (United States)

    Barrett, J. D.; Holland, A. W.; Vessey, W. B.

    2015-01-01

    Industrial and organizational (I/O) psychologists play a key role in NASA astronaut candidate selection through the identification of the competencies necessary to successfully engage in the astronaut job. A set of psychosocial competencies, developed by I/O psychologists during a prior job analysis conducted in 1996 and updated in 2003, were identified as necessary for individuals working and living in the space shuttle and on the International Space Station (ISS). This set of competencies applied to the space shuttle and applies to current ISS missions, but may not apply to longer-duration or long-distance exploration missions. With the 2015 launch of the first 12- month ISS mission and the shift in the 2020s to missions beyond low earth orbit, the type of missions that astronauts will conduct and the environment in which they do their work will change dramatically, leading to new challenges for these crews. To support future astronaut selection, training, and research, I/O psychologists in NASA's Behavioral Health and Performance (BHP) Operations and Research groups engaged in a joint effort to conduct an updated analysis of the astronaut job for current and future operations. This project will result in the identification of behavioral competencies critical to performing the astronaut job, along with relative weights for each of the identified competencies, through the application of job analysis techniques. While this job analysis is being conducted according to job analysis best practices, the project poses a number of novel challenges. These challenges include the need to identify competencies for multiple mission types simultaneously, to evaluate jobs that have no incumbents as they have never before been conducted, and working with a very limited population of subject matter experts. Given these challenges, under the guidance of job analysis experts, we used the following methods to conduct the job analysis and identify the key competencies for current and

  11. Research fronts analysis : A bibliometric to identify emerging fields of research

    Science.gov (United States)

    Miwa, Sayaka; Ando, Satoko

    Research fronts analysis identifies emerging areas of research through observing co-clustering in highly-cited papers. This article introduces the concept of research fronts analysis, explains its methodology and provides case examples. It also demonstrates developing research fronts in Japan by looking at the past winners of Thomson Reuters Research Fronts Awards. Research front analysis is currently being used by the Japanese government to determine new trends in science and technology. Information professionals can also utilize this bibliometric as a research evaluation tool.

  12. Metabolites production improvement by identifying minimal genomes and essential genes using flux balance analysis.

    Science.gov (United States)

    Salleh, Abdul Hakim Mohamed; Mohamad, Mohd Saberi; Deris, Safaai; Illias, Rosli Md

    2015-01-01

    With the advancement in metabolic engineering technologies, reconstruction of the genome of host organisms to achieve desired phenotypes can be made. However, due to the complexity and size of the genome scale metabolic network, significant components tend to be invisible. We proposed an approach to improve metabolite production that consists of two steps. First, we find the essential genes and identify the minimal genome by a single gene deletion process using Flux Balance Analysis (FBA) and second by identifying the significant pathway for the metabolite production using gene expression data. A genome scale model of Saccharomyces cerevisiae for production of vanillin and acetate is used to test this approach. The result has shown the reliability of this approach to find essential genes, reduce genome size and identify production pathway that can further optimise the production yield. The identified genes and pathways can be extendable to other applications especially in strain optimisation. PMID:26489144

  13. New families of human regulatory RNA structures identified by comparative analysis of vertebrate genomes

    DEFF Research Database (Denmark)

    Parker, Brian John; Moltke, Ida; Roth, Adam;

    2011-01-01

    comparative method, EvoFam, for genome-wide identification of families of regulatory RNA structures, based on primary sequence and secondary structure similarity. We apply EvoFam to a 41-way genomic vertebrate alignment. Genome-wide, we identify 220 human, high-confidence families outside protein......-coding regions comprising 725 individual structures, including 48 families with known structural RNA elements. Known families identified include both noncoding RNAs, e.g., miRNAs and the recently identified MALAT1/MEN β lincRNA family; and cis-regulatory structures, e.g., iron-responsive elements. We also...... identify tens of new families supported by strong evolutionary evidence and other statistical evidence, such as GO term enrichments. For some of these, detailed analysis has led to the formulation of specific functional hypotheses. Examples include two hypothesized auto-regulatory feedback mechanisms: one...

  14. Gene expression meta-analysis identifies metastatic pathways and transcription factors in breast cancer

    International Nuclear Information System (INIS)

    Metastasis is believed to progress in several steps including different pathways but the determination and understanding of these mechanisms is still fragmentary. Microarray analysis of gene expression patterns in breast tumors has been used to predict outcome in recent studies. Besides classification of outcome, these global expression patterns may reflect biological mechanisms involved in metastasis of breast cancer. Our purpose has been to investigate pathways and transcription factors involved in metastasis by use of gene expression data sets. We have analyzed 8 publicly available gene expression data sets. A global approach, 'gene set enrichment analysis' as well as an approach focusing on a subset of significantly differently regulated genes, GenMAPP, has been applied to rank pathway gene sets according to differential regulation in metastasizing tumors compared to non-metastasizing tumors. Meta-analysis has been used to determine overrepresentation of pathways and transcription factors targets, concordant deregulated in metastasizing breast tumors, in several data sets. The major findings are up-regulation of cell cycle pathways and a metabolic shift towards glucose metabolism reflected in several pathways in metastasizing tumors. Growth factor pathways seem to play dual roles; EGF and PDGF pathways are decreased, while VEGF and sex-hormone pathways are increased in tumors that metastasize. Furthermore, migration, proteasome, immune system, angiogenesis, DNA repair and several signal transduction pathways are associated to metastasis. Finally several transcription factors e.g. E2F, NFY, and YY1 are identified as being involved in metastasis. By pathway meta-analysis many biological mechanisms beyond major characteristics such as proliferation are identified. Transcription factor analysis identifies a number of key factors that support central pathways. Several previously proposed treatment targets are identified and several new pathways that may

  15. A cross-species genetic analysis identifies candidate genes for mouse anxiety and human bipolar disorder

    Directory of Open Access Journals (Sweden)

    David G Ashbrook

    2015-07-01

    Full Text Available Bipolar disorder (BD is a significant neuropsychiatric disorder with a lifetime prevalence of ~1%. To identify genetic variants underlying BD genome-wide association studies (GWAS have been carried out. While many variants of small effect associated with BD have been identified few have yet been confirmed, partly because of the low power of GWAS due to multiple comparisons being made. Complementary mapping studies using murine models have identified genetic variants for behavioral traits linked to BD, often with high power, but these identified regions often contain too many genes for clear identification of candidate genes. In the current study we have aligned human BD GWAS results and mouse linkage studies to help define and evaluate candidate genes linked to BD, seeking to use the power of the mouse mapping with the precision of GWAS. We use quantitative trait mapping for open field test and elevated zero maze data in the largest mammalian model system, the BXD recombinant inbred mouse population, to identify genomic regions associated with these BD-like phenotypes. We then investigate these regions in whole genome data from the Psychiatric Genomics Consortium’s bipolar disorder GWAS to identify candidate genes associated with BD. Finally we establish the biological relevance and pathways of these genes in a comprehensive systems genetics analysis.We identify four genes associated with both mouse anxiety and human BD. While TNR is a novel candidate for BD, we can confirm previously suggested associations with CMYA5, MCTP1 and RXRG. A cross-species, systems genetics analysis shows that MCTP1, RXRG and TNR coexpress with genes linked to psychiatric disorders and identify the striatum as a potential site of action. CMYA5, MCTP1, RXRG and TNR are associated with mouse anxiety and human BD. We hypothesize that MCTP1, RXRG and TNR influence intercellular signaling in the striatum.

  16. A cross-species genetic analysis identifies candidate genes for mouse anxiety and human bipolar disorder.

    Science.gov (United States)

    Ashbrook, David G; Williams, Robert W; Lu, Lu; Hager, Reinmar

    2015-01-01

    Bipolar disorder (BD) is a significant neuropsychiatric disorder with a lifetime prevalence of ~1%. To identify genetic variants underlying BD genome-wide association studies (GWAS) have been carried out. While many variants of small effect associated with BD have been identified few have yet been confirmed, partly because of the low power of GWAS due to multiple comparisons being made. Complementary mapping studies using murine models have identified genetic variants for behavioral traits linked to BD, often with high power, but these identified regions often contain too many genes for clear identification of candidate genes. In the current study we have aligned human BD GWAS results and mouse linkage studies to help define and evaluate candidate genes linked to BD, seeking to use the power of the mouse mapping with the precision of GWAS. We use quantitative trait mapping for open field test and elevated zero maze data in the largest mammalian model system, the BXD recombinant inbred mouse population, to identify genomic regions associated with these BD-like phenotypes. We then investigate these regions in whole genome data from the Psychiatric Genomics Consortium's bipolar disorder GWAS to identify candidate genes associated with BD. Finally we establish the biological relevance and pathways of these genes in a comprehensive systems genetics analysis. We identify four genes associated with both mouse anxiety and human BD. While TNR is a novel candidate for BD, we can confirm previously suggested associations with CMYA5, MCTP1, and RXRG. A cross-species, systems genetics analysis shows that MCTP1, RXRG, and TNR coexpress with genes linked to psychiatric disorders and identify the striatum as a potential site of action. CMYA5, MCTP1, RXRG, and TNR are associated with mouse anxiety and human BD. We hypothesize that MCTP1, RXRG, and TNR influence intercellular signaling in the striatum. PMID:26190982

  17. Analysis of promoter regions of co-expressed genes identified by microarray analysis

    Directory of Open Access Journals (Sweden)

    Höglund Mattias

    2006-08-01

    Full Text Available Abstract Background The use of global gene expression profiling to identify sets of genes with similar expression patterns is rapidly becoming a widespread approach for understanding biological processes. A logical and systematic approach to study co-expressed genes is to analyze their promoter sequences to identify transcription factors that may be involved in establishing specific profiles and that may be experimentally investigated. Results We introduce promoter clustering i.e. grouping of promoters with respect to their high scoring motif content, and show that this approach greatly enhances the identification of common and significant transcription factor binding sites (TFBS in co-expressed genes. We apply this method to two different dataset, one consisting of micro array data from 108 leukemias (AMLs and a second from a time series experiment, and show that biologically relevant promoter patterns may be obtained using phylogenetic foot-printing methodology. In addition, we also found that 15% of the analyzed promoter regions contained transcription factors start sites for additional genes transcribed in the opposite direction. Conclusion Promoter clustering based on global promoter features greatly improve the identification of shared TFBS in co-expressed genes. We believe that the outlined approach may be a useful first step to identify transcription factors that contribute to specific features of gene expression profiles.

  18. Probabilistic approach to identify sensitive parameter distributions in multimedia pathway analysis.

    Energy Technology Data Exchange (ETDEWEB)

    Kamboj, S.; Gnanapragasam, E.; LePoire, D.; Biwer, B. M.; Cheng, J.; Arnish, J.; Yu, C.; Chen, S. Y.; Mo, T.; Abu-Eid, R.; Thaggard, M.; Environmental Assessment; NRC

    2002-01-01

    Sensitive parameter distributions were identified with the use of probabilistic analysis in the RESRAD computer code. RESRAD is a multimedia pathway analysis code designed to evaluate radiological exposures resulting from radiological contamination in soil. The dose distribution was obtained by using a set of default parameter distribution/values. Most of the variations in the output dose distribution could be attributed to uncertainty in a small set of input parameters that could be considered as sensitive parameter distributions. The identification of the sensitive parameters is a first step in the prioritization of future research and information gathering. When site-specific parameter distribution/values are available for an actual site, the same process should be used with these site-specific data. Regression analysis used to identify sensitive parameters indicated that the dominant pathways depended on the radionuclide and source configurations. However, two parameter distributions were sensitive for many radionuclides: the external shielding factor when external exposure was the dominant pathway and the plant transfer factor when plant ingestion was the dominant pathway. No single correlation or regression coefficient can be used alone to identify sensitive parameters in all the cases. The coefficients are useful guides, but they have to be used in conjunction with other aids, such as scatter plots, and should undergo further analysis.

  19. Meta-Analysis of Placental Transcriptome Data Identifies a Novel Molecular Pathway Related to Preeclampsia.

    Science.gov (United States)

    van Uitert, Miranda; Moerland, Perry D; Enquobahrie, Daniel A; Laivuori, Hannele; van der Post, Joris A M; Ris-Stalpers, Carrie; Afink, Gijs B

    2015-01-01

    Studies using the placental transcriptome to identify key molecules relevant for preeclampsia are hampered by a relatively small sample size. In addition, they use a variety of bioinformatics and statistical methods, making comparison of findings challenging. To generate a more robust preeclampsia gene expression signature, we performed a meta-analysis on the original data of 11 placenta RNA microarray experiments, representing 139 normotensive and 116 preeclamptic pregnancies. Microarray data were pre-processed and analyzed using standardized bioinformatics and statistical procedures and the effect sizes were combined using an inverse-variance random-effects model. Interactions between genes in the resulting gene expression signature were identified by pathway analysis (Ingenuity Pathway Analysis, Gene Set Enrichment Analysis, Graphite) and protein-protein associations (STRING). This approach has resulted in a comprehensive list of differentially expressed genes that led to a 388-gene meta-signature of preeclamptic placenta. Pathway analysis highlights the involvement of the previously identified hypoxia/HIF1A pathway in the establishment of the preeclamptic gene expression profile, while analysis of protein interaction networks indicates CREBBP/EP300 as a novel element central to the preeclamptic placental transcriptome. In addition, there is an apparent high incidence of preeclampsia in women carrying a child with a mutation in CREBBP/EP300 (Rubinstein-Taybi Syndrome). The 388-gene preeclampsia meta-signature offers a vital starting point for further studies into the relevance of these genes (in particular CREBBP/EP300) and their concomitant pathways as biomarkers or functional molecules in preeclampsia. This will result in a better understanding of the molecular basis of this disease and opens up the opportunity to develop rational therapies targeting the placental dysfunction causal to preeclampsia. PMID:26171964

  20. Meta-Analysis of Placental Transcriptome Data Identifies a Novel Molecular Pathway Related to Preeclampsia.

    Directory of Open Access Journals (Sweden)

    Miranda van Uitert

    Full Text Available Studies using the placental transcriptome to identify key molecules relevant for preeclampsia are hampered by a relatively small sample size. In addition, they use a variety of bioinformatics and statistical methods, making comparison of findings challenging. To generate a more robust preeclampsia gene expression signature, we performed a meta-analysis on the original data of 11 placenta RNA microarray experiments, representing 139 normotensive and 116 preeclamptic pregnancies. Microarray data were pre-processed and analyzed using standardized bioinformatics and statistical procedures and the effect sizes were combined using an inverse-variance random-effects model. Interactions between genes in the resulting gene expression signature were identified by pathway analysis (Ingenuity Pathway Analysis, Gene Set Enrichment Analysis, Graphite and protein-protein associations (STRING. This approach has resulted in a comprehensive list of differentially expressed genes that led to a 388-gene meta-signature of preeclamptic placenta. Pathway analysis highlights the involvement of the previously identified hypoxia/HIF1A pathway in the establishment of the preeclamptic gene expression profile, while analysis of protein interaction networks indicates CREBBP/EP300 as a novel element central to the preeclamptic placental transcriptome. In addition, there is an apparent high incidence of preeclampsia in women carrying a child with a mutation in CREBBP/EP300 (Rubinstein-Taybi Syndrome. The 388-gene preeclampsia meta-signature offers a vital starting point for further studies into the relevance of these genes (in particular CREBBP/EP300 and their concomitant pathways as biomarkers or functional molecules in preeclampsia. This will result in a better understanding of the molecular basis of this disease and opens up the opportunity to develop rational therapies targeting the placental dysfunction causal to preeclampsia.

  1. Transcriptome analysis of recurrently deregulated genes across multiple cancers identifies new pan-cancer biomarkers

    DEFF Research Database (Denmark)

    Kaczkowski, Bogumil; Tanaka, Yuji; Kawaji, Hideya; Sandelin, Albin; Andersson, Robin; Itoh, Masayoshi; Lassmann, Timo; Hayashizaki, Yoshihide; Carninci, Piero; Forrest, Alistair R

    2015-01-01

    Genes that are commonly deregulated in cancer are clinically attractive as candidate pan-diagnostic markers and therapeutic targets. To globally identify such targets, we compared Cap Analysis of Gene Expression (CAGE) profiles from 225 different cancer cell lines and 339 corresponding primary cell...... samples to identify transcripts that are deregulated recurrently in a broad range of cancer types. Comparing RNA-seq data from 4,055 tumors and 563 normal tissues profiled in the TCGA and FANTOM5 datasets, we identified a core transcript set with theranostic potential. Our analyses also revealed enhancer...... RNAs which are upregulated in cancer, defining promoters which overlap with repetitive elements (especially SINE/Alu and LTR/ERV1 elements) that are often upregulated in cancer. Lastly, we documented for the first time upregulation of multiple copies of the REP522 interspersed repeat in cancer. Overall...

  2. Identifying Population Groups with Low Palliative Care Program Enrolment Using Classification and Regression Tree Analysis

    Science.gov (United States)

    Gao, Jun; Lavergne, M. Ruth; McIntyre, Paul

    2013-01-01

    Classification and regression tree (CART) analysis was used to identify subpopulations with lower palliative care program (PCP) enrolment rates. CART analysis uses recursive partitioning to group predictors. The PCP enrolment rate was 72 percent for the 6,892 adults who died of cancer from 2000 and 2005 in two counties in Nova Scotia, Canada. The lowest PCP enrolment rates were for nursing home residents over 82 years (27 percent), a group residing more than 43 kilometres from the PCP (31 percent), and another group living less than two weeks after their cancer diagnosis (37 percent). The highest rate (86 percent) was for the 2,118 persons who received palliative radiation. Findings from multiple logistic regression (MLR) were provided for comparison. CART findings identified low PCP enrolment subpopulations that were defined by interactions among demographic, social, medical, and health system predictors. PMID:21805944

  3. Analysis of regulatory protease sequences identified through bioinformatic data mining of the Schistosoma mansoni genome

    Directory of Open Access Journals (Sweden)

    Minchella Dennis J

    2009-10-01

    Full Text Available Abstract Background New chemotherapeutic agents against Schistosoma mansoni, an etiological agent of human schistosomiasis, are a priority due to the emerging drug resistance and the inability of current drug treatments to prevent reinfection. Proteases have been under scrutiny as targets of immunological or chemotherapeutic anti-Schistosoma agents because of their vital role in many stages of the parasitic life cycle. Function has been established for only a handful of identified S. mansoni proteases, and the vast majority of these are the digestive proteases; very few of the conserved classes of regulatory proteases have been identified from Schistosoma species, despite their vital role in numerous cellular processes. To that end, we identified protease protein coding genes from the S. mansoni genome project and EST library. Results We identified 255 protease sequences from five catalytic classes using predicted proteins of the S. mansoni genome. The vast majority of these show significant similarity to proteins in KEGG and the Conserved Domain Database. Proteases include calpains, caspases, cytosolic and mitochondrial signal peptidases, proteases that interact with ubiquitin and ubiquitin-like molecules, and proteases that perform regulated intramembrane proteolysis. Comparative analysis of classes of important regulatory proteases find conserved active site domains, and where appropriate, signal peptides and transmembrane helices. Phylogenetic analysis provides support for inferring functional divergence among regulatory aspartic, cysteine, and serine proteases. Conclusion Numerous proteases are identified for the first time in S. mansoni. We characterized important regulatory proteases and focus analysis on these proteases to complement the growing knowledge base of digestive proteases. This work provides a foundation for expanding knowledge of proteases in Schistosoma species and examining their diverse function and potential as targets

  4. Emergent team roles in organizational meetings: Identifying communication patterns via cluster analysis.

    OpenAIRE

    Lehmann-Willenbrock, N.K.; Beck, S.J.; Kauffeld, S.

    2016-01-01

    Previous team role taxonomies have largely relied on self-report data, focused on functional roles, and described individual predispositions or personality traits. Instead, this study takes a communicative approach and proposes that team roles are produced, shaped, and sustained in communicative behaviors. To identify team roles communicatively, 59 regular organizational meetings were videotaped and analyzed. Cluster analysis revealed five emergent roles: the solution seeker, the problem anal...

  5. Identifying Gender-Preferred Communication Styles within Online Cancer Communities: A Retrospective, Longitudinal Analysis

    OpenAIRE

    Durant, Kathleen T.; McCray, Alexa T.; Charles Safran

    2012-01-01

    BACKGROUND: The goal of this research is to determine if different gender-preferred social styles can be observed within the user interactions at an online cancer community. To achieve this goal, we identify and measure variables that pertain to each gender-specific social style. METHODS AND FINDINGS: We perform social network and statistical analysis on the communication flow of 8,388 members at six different cancer forums over eight years. Kruskal-Wallis tests were conducted to measure the ...

  6. Network analysis identifies protein clusters of functional importance in juvenile idiopathic arthritis

    OpenAIRE

    Stevens, Adam; Meyer, Stefan; Hanson, Daniel; Clayton, Peter; Donn, Rachelle

    2014-01-01

    Introduction Our objective was to utilise network analysis to identify protein clusters of greatest potential functional relevance in the pathogenesis of oligoarticular and rheumatoid factor negative (RF-ve) polyarticular juvenile idiopathic arthritis (JIA). Methods JIA genetic association data were used to build an interactome network model in BioGRID 3.2.99. The top 10% of this protein:protein JIA Interactome was used to generate a minimal essential network (MEN). Reactome FI Cytoscape 2.83...

  7. Integrative Omics Analysis of Rheumatoid Arthritis Identifies Non-Obvious Therapeutic Targets

    OpenAIRE

    Whitaker, John W.; Boyle, David L.; Bartok, Beatrix; Ball, Scott T.; Gay, Steffen; Wang, Wei; Firestein, Gary S.

    2015-01-01

    Identifying novel therapeutic targets for the treatment of disease is challenging. To this end, we developed a genome-wide approach of candidate gene prioritization. We independently collocated sets of genes that were implicated in rheumatoid arthritis (RA) pathogenicity through three genome-wide assays: (i) genome-wide association studies (GWAS), (ii) differentially expression in RA fibroblast-like synoviocytes (FLS), and (iii) differentially methylation in RA FLS. Integrated analysis of the...

  8. Integrative omics analysis of rheumatoid arthritis identifies non-obvious therapeutic targets

    OpenAIRE

    Whitaker, John W.; Boyle, David L.; Bartok, Beatrix; Ball, Scott T.; Gay, Steffen; Wang, Wei; Firestein, Gary S.

    2015-01-01

    Identifying novel therapeutic targets for the treatment of disease is challenging. To this end, we developed a genome-wide approach of candidate gene prioritization. We independently collocated sets of genes that were implicated in rheumatoid arthritis (RA) pathogenicity through three genome-wide assays: (i) genome-wide association studies (GWAS), (ii) differentially expression in RA fibroblast-like synoviocytes (FLS), and (iii) differentially methylation in RA FLS. Integrated analysis of the...

  9. Robust Microarray Meta-Analysis Identifies Differentially Expressed Genes for Clinical Prediction

    OpenAIRE

    Phan, John H.; Andrew N. Young; Wang, May D.

    2012-01-01

    Combining multiple microarray datasets increases sample size and leads to improved reproducibility in identification of informative genes and subsequent clinical prediction. Although microarrays have increased the rate of genomic data collection, sample size is still a major issue when identifying informative genetic biomarkers. Because of this, feature selection methods often suffer from false discoveries, resulting in poorly performing predictive models. We develop a simple meta-analysis-ba...

  10. Identifying patterns in treatment response profiles in acute bipolar mania: a cluster analysis approach

    OpenAIRE

    Houston John P; Lipkovich Ilya A; Ahl Jonna

    2008-01-01

    Abstract Background Patients with acute mania respond differentially to treatment and, in many cases, fail to obtain or sustain symptom remission. The objective of this exploratory analysis was to characterize response in bipolar disorder by identifying groups of patients with similar manic symptom response profiles. Methods Patients (n = 222) were selected from a randomized, double-blind study of treatment with olanzapine or divalproex in bipolar I disorder, manic or mixed episode, with or w...

  11. Automated Source Code Analysis to Identify and Remove Software Security Vulnerabilities: Case Studies on Java Programs

    OpenAIRE

    2013-01-01

    The high-level contribution of this paper is to illustrate the development of generic solution strategies to remove software security vulnerabilities that could be identified using automated tools for source code analysis on software programs (developed in Java). We use the Source Code Analyzer and Audit Workbench automated tools, developed by HP Fortify Inc., for our testing purposes. We present case studies involving a file writer program embedded with features for password validation, and ...

  12. System reliability analysis using dominant failure modes identified by selective searching technique

    International Nuclear Information System (INIS)

    The failure of a redundant structural system is often described by innumerable system failure modes such as combinations or sequences of local failures. An efficient approach is proposed to identify dominant failure modes in the space of random variables, and then perform system reliability analysis to compute the system failure probability. To identify dominant failure modes in the decreasing order of their contributions to the system failure probability, a new simulation-based selective searching technique is developed using a genetic algorithm. The system failure probability is computed by a multi-scale matrix-based system reliability (MSR) method. Lower-scale MSR analyses evaluate the probabilities of the identified failure modes and their statistical dependence. A higher-scale MSR analysis evaluates the system failure probability based on the results of the lower-scale analyses. Three illustrative examples demonstrate the efficiency and accuracy of the approach through comparison with existing methods and Monte Carlo simulations. The results show that the proposed method skillfully identifies the dominant failure modes, including those neglected by existing approaches. The multi-scale MSR method accurately evaluates the system failure probability with statistical dependence fully considered. The decoupling between the failure mode identification and the system reliability evaluation allows for effective applications to larger structural systems

  13. Hot spot analysis applied to identify ecosystem services potential in Lithuania

    Science.gov (United States)

    Pereira, Paulo; Depellegrin, Daniel; Misiune, Ieva

    2016-04-01

    Hot spot analysis are very useful to identify areas with similar characteristics. This is important for a sustainable use of the territory, since we can identify areas that need to be protected, or restored. This is a great advantage in terms of land use planning and management, since we can allocate resources, reduce the economical costs and do a better intervention in the landscape. Ecosystem services (ES) are different according land use. Since landscape is very heterogeneous, it is of major importance understand their spatial pattern and where are located the areas that provide better ES and the others that provide less services. The objective of this work is to use hot-spot analysis to identify areas with the most valuable ES in Lithuania. CORINE land-cover (CLC) of 2006 was used as the main spatial information. This classification uses a grid of 100 m resolution and extracted a total of 31 land use types. ES ranking was carried out based on expert knowledge. They were asked to evaluate the ES potential of each different CLC from 0 (no potential) to 5 (very high potential). Hot spot analysis were evaluated using the Getis-ord test, which identifies cluster analysis available in ArcGIS toolbox. This tool identifies areas with significantly high low values and significant high values at a p level of 0.05. In this work we used hot spot analysis to assess the distribution of providing, regulating cultural and total (sum of the previous 3) ES. The Z value calculated from Getis-ord was used to statistical analysis to access the clusters of providing, regulating cultural and total ES. ES with high Z value show that they have a high number of cluster areas with high potential of ES. The results showed that the Z-score was significantly different among services (Kruskal Wallis ANOVA =834. 607, pcultural (0.080±1.979) and regulating (0.076±1.961). These results suggested that providing services are more clustered than the remaining. Ecosystem Services Z score were

  14. Identifying Innovative Interventions to Promote Healthy Eating Using Consumption-Oriented Food Supply Chain Analysis.

    Science.gov (United States)

    Hawkes, Corinna

    2009-07-01

    The mapping and analysis of supply chains is a technique increasingly used to address problems in the food system. Yet such supply chain management has not yet been applied as a means of encouraging healthier diets. Moreover, most policies recommended to promote healthy eating focus on the consumer end of the chain. This article proposes a consumption-oriented food supply chain analysis to identify the changes needed in the food supply chain to create a healthier food environment, measured in terms of food availability, prices, and marketing. Along with established forms of supply chain analysis, the method is informed by a historical overview of how food supply chains have changed over time. The method posits that the actors and actions in the chain are affected by organizational, financial, technological, and policy incentives and disincentives, which can in turn be levered for change. It presents a preliminary example of the supply of Coca-Cola beverages into school vending machines and identifies further potential applications. These include fruit and vegetable supply chains, local food chains, supply chains for health-promoting versions of food products, and identifying financial incentives in supply chains for healthier eating. PMID:23144674

  15. Combination of meta-analysis and graph clustering to identify prognostic markers of ESCC

    Directory of Open Access Journals (Sweden)

    Hongyun Gao

    2012-01-01

    Full Text Available Esophageal squamous cell carcinoma (ESCC is one of the most malignant gastrointestinal cancers and occurs at a high frequency rate in China and other Asian countries. Recently, several molecular markers were identified for predicting ESCC. Notwithstanding, additional prognostic markers, with a clear understanding of their underlying roles, are still required. Through bioinformatics, a graph-clustering method by DPClus was used to detect co-expressed modules. The aim was to identify a set of discriminating genes that could be used for predicting ESCC through graph-clustering and GO-term analysis. The results showed that CXCL12, CYP2C9, TGM3, MAL, S100A9, EMP-1 and SPRR3 were highly associated with ESCC development. In our study, all their predicted roles were in line with previous reports, whereby the assumption that a combination of meta-analysis, graph-clustering and GO-term analysis is effective for both identifying differentially expressed genes, and reflecting on their functions in ESCC.

  16. Protein functional links in Trypanosoma brucei, identified by gene fusion analysis

    Directory of Open Access Journals (Sweden)

    Trimpalis Philip

    2011-07-01

    Full Text Available Abstract Background Domain or gene fusion analysis is a bioinformatics method for detecting gene fusions in one organism by comparing its genome to that of other organisms. The occurrence of gene fusions suggests that the two original genes that participated in the fusion are functionally linked, i.e. their gene products interact either as part of a multi-subunit protein complex, or in a metabolic pathway. Gene fusion analysis has been used to identify protein functional links in prokaryotes as well as in eukaryotic model organisms, such as yeast and Drosophila. Results In this study we have extended this approach to include a number of recently sequenced protists, four of which are pathogenic, to identify fusion linked proteins in Trypanosoma brucei, the causative agent of African sleeping sickness. We have also examined the evolution of the gene fusion events identified, to determine whether they can be attributed to fusion or fission, by looking at the conservation of the fused genes and of the individual component genes across the major eukaryotic and prokaryotic lineages. We find relatively limited occurrence of gene fusions/fissions within the protist lineages examined. Our results point to two trypanosome-specific gene fissions, which have recently been experimentally confirmed, one fusion involving proteins involved in the same metabolic pathway, as well as two novel putative functional links between fusion-linked protein pairs. Conclusions This is the first study of protein functional links in T. brucei identified by gene fusion analysis. We have used strict thresholds and only discuss results which are highly likely to be genuine and which either have already been or can be experimentally verified. We discuss the possible impact of the identification of these novel putative protein-protein interactions, to the development of new trypanosome therapeutic drugs.

  17. Gene expression signature analysis identifies vorinostat as a candidate therapy for gastric cancer.

    Directory of Open Access Journals (Sweden)

    Sofie Claerhout

    Full Text Available BACKGROUND: Gastric cancer continues to be one of the deadliest cancers in the world and therefore identification of new drugs targeting this type of cancer is thus of significant importance. The purpose of this study was to identify and validate a therapeutic agent which might improve the outcomes for gastric cancer patients in the future. METHODOLOGY/PRINCIPAL FINDINGS: Using microarray technology, we generated a gene expression profile of human gastric cancer-specific genes from human gastric cancer tissue samples. We used this profile in the Broad Institute's Connectivity Map analysis to identify candidate therapeutic compounds for gastric cancer. We found the histone deacetylase inhibitor vorinostat as the lead compound and thus a potential therapeutic drug for gastric cancer. Vorinostat induced both apoptosis and autophagy in gastric cancer cell lines. Pharmacological and genetic inhibition of autophagy however, increased the therapeutic efficacy of vorinostat, indicating that a combination of vorinostat with autophagy inhibitors may therapeutically be more beneficial. Moreover, gene expression analysis of gastric cancer identified a collection of genes (ITGB5, TYMS, MYB, APOC1, CBX5, PLA2G2A, and KIF20A whose expression was elevated in gastric tumor tissue and downregulated more than 2-fold by vorinostat treatment in gastric cancer cell lines. In contrast, SCGB2A1, TCN1, CFD, APLP1, and NQO1 manifested a reversed pattern. CONCLUSIONS/SIGNIFICANCE: We showed that analysis of gene expression signature may represent an emerging approach to discover therapeutic agents for gastric cancer, such as vorinostat. The observation of altered gene expression after vorinostat treatment may provide the clue to identify the molecular mechanism of vorinostat and those patients likely to benefit from vorinostat treatment.

  18. Shortest-path network analysis is a useful approach toward identifying genetic determinants of longevity.

    Directory of Open Access Journals (Sweden)

    J R Managbanag

    Full Text Available BACKGROUND: Identification of genes that modulate longevity is a major focus of aging-related research and an area of intense public interest. In addition to facilitating an improved understanding of the basic mechanisms of aging, such genes represent potential targets for therapeutic intervention in multiple age-associated diseases, including cancer, heart disease, diabetes, and neurodegenerative disorders. To date, however, targeted efforts at identifying longevity-associated genes have been limited by a lack of predictive power, and useful algorithms for candidate gene-identification have also been lacking. METHODOLOGY/PRINCIPAL FINDINGS: We have utilized a shortest-path network analysis to identify novel genes that modulate longevity in Saccharomyces cerevisiae. Based on a set of previously reported genes associated with increased life span, we applied a shortest-path network algorithm to a pre-existing protein-protein interaction dataset in order to construct a shortest-path longevity network. To validate this network, the replicative aging potential of 88 single-gene deletion strains corresponding to predicted components of the shortest-path longevity network was determined. Here we report that the single-gene deletion strains identified by our shortest-path longevity analysis are significantly enriched for mutations conferring either increased or decreased replicative life span, relative to a randomly selected set of 564 single-gene deletion strains or to the current data set available for the entire haploid deletion collection. Further, we report the identification of previously unknown longevity genes, several of which function in a conserved longevity pathway believed to mediate life span extension in response to dietary restriction. CONCLUSIONS/SIGNIFICANCE: This work demonstrates that shortest-path network analysis is a useful approach toward identifying genetic determinants of longevity and represents the first application of

  19. Messina: a novel analysis tool to identify biologically relevant molecules in disease.

    Directory of Open Access Journals (Sweden)

    Mark Pinese

    Full Text Available BACKGROUND: Morphologically similar cancers display heterogeneous patterns of molecular aberrations and follow substantially different clinical courses. This diversity has become the basis for the definition of molecular phenotypes, with significant implications for therapy. Microarray or proteomic expression profiling is conventionally employed to identify disease-associated genes, however, traditional approaches for the analysis of profiling experiments may miss molecular aberrations which define biologically relevant subtypes. METHODOLOGY/PRINCIPAL FINDINGS: Here we present Messina, a method that can identify those genes that only sometimes show aberrant expression in cancer. We demonstrate with simulated data that Messina is highly sensitive and specific when used to identify genes which are aberrantly expressed in only a proportion of cancers, and compare Messina to contemporary analysis techniques. We illustrate Messina by using it to detect the aberrant expression of a gene that may play an important role in pancreatic cancer. CONCLUSIONS/SIGNIFICANCE: Messina allows the detection of genes with profiles typical of markers of molecular subtype, and complements existing methods to assist the identification of such markers. Messina is applicable to any global expression profiling data, and to allow its easy application has been packaged into a freely-available stand-alone software package.

  20. Design Analysis Rules to Identify Proper Noun from Bengali Sentence for Universal Networking language

    Directory of Open Access Journals (Sweden)

    Md. Syeful Islam

    2014-08-01

    Full Text Available Now-a-days hundreds of millions of people of almost all levels of education and attitudes from different country communicate with each other for different purposes and perform their jobs on internet or other communication medium using various languages. Not all people know all language; therefore it is very difficult to communicate or works on various languages. In this situation the computer scientist introduce various inter language translation program (Machine translation. UNL is such kind of inter language translation program. One of the major problem of UNL is identified a name from a sentence, which is relatively simple in English language, because such entities start with a capital letter. In Bangla we do not have concept of small or capital letters. Thus we find difficulties in understanding whether a word is a proper noun or not. Here we have proposed analysis rules to identify proper noun from a sentence and established post converter which translate the name entity from Bangla to UNL. The goal is to make possible Bangla sentence conversion to UNL and vice versa. UNL system prove that the theoretical analysis of our proposed system able to identify proper noun from Bangla sentence and produce relative Universal word for UNL.

  1. Space-Time Analysis to Identify Areas at Risk of Mortality from Cardiovascular Disease

    Directory of Open Access Journals (Sweden)

    Poliany C. O. Rodrigues

    2015-01-01

    Full Text Available This study aimed at identifying areas that were at risk of mortality due to cardiovascular disease in residents aged 45 years or older of the cities of Cuiabá and Várzea Grande between 2009 and 2011. We conducted an ecological study of mortality rates related to cardiovascular disease. Mortality rates were calculated for each census tract by the Local Empirical Bayes estimator. High- and low-risk clusters were identified by retrospective space-time scans for each year using the Poisson probability model. We defined the year and month as the temporal analysis unit and the census tracts as the spatial analysis units adjusted by age and sex. The Mann-Whitney U test was used to compare the socioeconomic and environmental variables by risk classification. High-risk clusters showed higher income ratios than low-risk clusters, as did temperature range and atmospheric particulate matter. Low-risk clusters showed higher humidity than high-risk clusters. The Eastern region of Várzea Grande and the central region of Cuiabá were identified as areas at risk of mortality due to cardiovascular disease in individuals aged 45 years or older. High mortality risk was associated with socioeconomic and environmental factors. More high-risk clusters were observed at the end of the dry season.

  2. A meta-analysis of 120 246 individuals identifies 18 new loci for fibrinogen concentration.

    Science.gov (United States)

    de Vries, Paul S; Chasman, Daniel I; Sabater-Lleal, Maria; Chen, Ming-Huei; Huffman, Jennifer E; Steri, Maristella; Tang, Weihong; Teumer, Alexander; Marioni, Riccardo E; Grossmann, Vera; Hottenga, Jouke J; Trompet, Stella; Müller-Nurasyid, Martina; Zhao, Jing Hua; Brody, Jennifer A; Kleber, Marcus E; Guo, Xiuqing; Wang, Jie Jin; Auer, Paul L; Attia, John R; Yanek, Lisa R; Ahluwalia, Tarunveer S; Lahti, Jari; Venturini, Cristina; Tanaka, Toshiko; Bielak, Lawrence F; Joshi, Peter K; Rocanin-Arjo, Ares; Kolcic, Ivana; Navarro, Pau; Rose, Lynda M; Oldmeadow, Christopher; Riess, Helene; Mazur, Johanna; Basu, Saonli; Goel, Anuj; Yang, Qiong; Ghanbari, Mohsen; Willemsen, Gonneke; Rumley, Ann; Fiorillo, Edoardo; de Craen, Anton J M; Grotevendt, Anne; Scott, Robert; Taylor, Kent D; Delgado, Graciela E; Yao, Jie; Kifley, Annette; Kooperberg, Charles; Qayyum, Rehan; Lopez, Lorna M; Berentzen, Tina L; Räikkönen, Katri; Mangino, Massimo; Bandinelli, Stefania; Peyser, Patricia A; Wild, Sarah; Trégouët, David-Alexandre; Wright, Alan F; Marten, Jonathan; Zemunik, Tatijana; Morrison, Alanna C; Sennblad, Bengt; Tofler, Geoffrey; de Maat, Moniek P M; de Geus, Eco J C; Lowe, Gordon D; Zoledziewska, Magdalena; Sattar, Naveed; Binder, Harald; Völker, Uwe; Waldenberger, Melanie; Khaw, Kay-Tee; Mcknight, Barbara; Huang, Jie; Jenny, Nancy S; Holliday, Elizabeth G; Qi, Lihong; Mcevoy, Mark G; Becker, Diane M; Starr, John M; Sarin, Antti-Pekka; Hysi, Pirro G; Hernandez, Dena G; Jhun, Min A; Campbell, Harry; Hamsten, Anders; Rivadeneira, Fernando; Mcardle, Wendy L; Slagboom, P Eline; Zeller, Tanja; Koenig, Wolfgang; Psaty, Bruce M; Haritunians, Talin; Liu, Jingmin; Palotie, Aarno; Uitterlinden, André G; Stott, David J; Hofman, Albert; Franco, Oscar H; Polasek, Ozren; Rudan, Igor; Morange, Pierre-Emmanuel; Wilson, James F; Kardia, Sharon L R; Ferrucci, Luigi; Spector, Tim D; Eriksson, Johan G; Hansen, Torben; Deary, Ian J; Becker, Lewis C; Scott, Rodney J; Mitchell, Paul; März, Winfried; Wareham, Nick J; Peters, Annette; Greinacher, Andreas; Wild, Philipp S; Jukema, J Wouter; Boomsma, Dorret I; Hayward, Caroline; Cucca, Francesco; Tracy, Russell; Watkins, Hugh; Reiner, Alex P; Folsom, Aaron R; Ridker, Paul M; O'Donnell, Christopher J; Smith, Nicholas L; Strachan, David P; Dehghan, Abbas

    2016-01-15

    Genome-wide association studies have previously identified 23 genetic loci associated with circulating fibrinogen concentration. These studies used HapMap imputation and did not examine the X-chromosome. 1000 Genomes imputation provides better coverage of uncommon variants, and includes indels. We conducted a genome-wide association analysis of 34 studies imputed to the 1000 Genomes Project reference panel and including ∼120 000 participants of European ancestry (95 806 participants with data on the X-chromosome). Approximately 10.7 million single-nucleotide polymorphisms and 1.2 million indels were examined. We identified 41 genome-wide significant fibrinogen loci; of which, 18 were newly identified. There were no genome-wide significant signals on the X-chromosome. The lead variants of five significant loci were indels. We further identified six additional independent signals, including three rare variants, at two previously characterized loci: FGB and IRF1. Together the 41 loci explain 3% of the variance in plasma fibrinogen concentration. PMID:26561523

  3. The systematic functional analysis of plasmodium protein kinases identifies essential regulators of mosquito transmission

    KAUST Repository

    Tewari, Rita

    2010-10-21

    Although eukaryotic protein kinases (ePKs) contribute to many cellular processes, only three Plasmodium falciparum ePKs have thus far been identified as essential for parasite asexual blood stage development. To identify pathways essential for parasite transmission between their mammalian host and mosquito vector, we undertook a systematic functional analysis of ePKs in the genetically tractable rodent parasite Plasmodium berghei. Modeling domain signatures of conventional ePKs identified 66 putative Plasmodium ePKs. Kinomes are highly conserved between Plasmodium species. Using reverse genetics, we show that 23 ePKs are redundant for asexual erythrocytic parasite development in mice. Phenotyping mutants at four life cycle stages in Anopheles stephensi mosquitoes revealed functional clusters of kinases required for sexual development and sporogony. Roles for a putative SR protein kinase (SRPK) in microgamete formation, a conserved regulator of clathrin uncoating (GAK) in ookinete formation, and a likely regulator of energy metabolism (SNF1/KIN) in sporozoite development were identified. 2010 Elsevier Inc.

  4. Integrating Stakeholder Preferences and GIS-Based Multicriteria Analysis to Identify Forest Landscape Restoration Priorities

    Directory of Open Access Journals (Sweden)

    David Uribe

    2014-02-01

    Full Text Available A pressing question that arises during the planning of an ecological restoration process is: where to restore first? Answering this question is a complex task; it requires a multidimensional approach to consider economic constrains and the preferences of stakeholders. Being the problem of spatial nature, it may be explored effectively through Multicriteria Decision Analysis (MCDA performed in a Geographical Information System (GIS environment. The proposed approach is based on the definition and weighting of multiple criteria for evaluating land suitability. An MCDA-based methodology was used to identify priority areas for Forest Landscape Restoration in the Upper Mixtec region, Oaxaca (Mexico, one of the most degraded areas of Latin America. Socioeconomic and environmental criteria were selected and evaluated. The opinions of four different stakeholder groups were considered: general public, academic, Non-governmental organizations (NGOs and governmental officers. The preferences of these groups were spatially modeled to identify their priorities. The final result was a map that identifies the most preferable sites for restoration, where resources and efforts should be concentrated. MCDA proved to be a very useful tool in collective planning, when alternative sites have to be identified and prioritized to guide the restoration work.

  5. Identifying E-Business Model:A Value Chain-Based Analysis

    Institute of Scientific and Technical Information of China (English)

    ZENG Qingfeng; HUANG Lihua

    2004-01-01

    E-business will change the ways that all companies do business, and most traditional businesses will evolve from their current business model to a combination of place and space via e-business model To choose the proper e-business model becomes the important strategic concern for company to succeed The main objective of this paper is to investigate the analysis framework for identifying e-business model Based on the e-business process, from the value chain to the value net perspective. This paper provides a theoretical framework for identifying e-business models, and results in 11 e-business models. The strategic intend of every e-business model is discussed in the end of this paper. An enterprise e-business model design and implementation can be specified by the combination of one or more among 11 e-business models.

  6. Proteomic analysis of cell lines to identify the irinotecan resistance proteins

    Indian Academy of Sciences (India)

    Xing-Chen Peng; Feng-Ming Gong; Meng Wei; X I Chen; Y E Chen; K E Cheng; Feng Gao; Feng Xu; FENG Bi; Ji-Yan Liu

    2010-12-01

    Chemotherapeutic drug resistance is a frequent cause of treatment failure in colon cancer patients. Several mechanisms have been implicated in drug resistance. However, they are not sufficient to exhaustively account for this resistance emergence. In this study, two-dimensional gel electrophoresis (2-DE) and the PDQuest software analysis were applied to compare the differential expression of irinotecan-resistance-associated protein in human colon adenocarcinoma LoVo cells and irinotecan-resistant LoVo cells (LoVo/irinotecan). The differential protein dots were excised and analysed by ESI-Q-TOF mass spectrometry (MS). Fifteen proteins were identified, including eight proteins with decreased expression and seven proteins with increased expression. The identified known proteins included those that function in diverse biological processes such as cellular transcription, cell apoptosis, electron transport/redox regulation, cell proliferation/differentiation and retinol metabolism pathways. Identification of such proteins could allow improved understanding of the mechanisms leading to the acquisition of chemoresistance.

  7. Gene-network analysis identifies susceptibility genes related to glycobiology in autism.

    Directory of Open Access Journals (Sweden)

    Bert van der Zwaag

    Full Text Available The recent identification of copy-number variation in the human genome has opened up new avenues for the discovery of positional candidate genes underlying complex genetic disorders, especially in the field of psychiatric disease. One major challenge that remains is pinpointing the susceptibility genes in the multitude of disease-associated loci. This challenge may be tackled by reconstruction of functional gene-networks from the genes residing in these loci. We applied this approach to autism spectrum disorder (ASD, and identified the copy-number changes in the DNA of 105 ASD patients and 267 healthy individuals with Illumina Humanhap300 Beadchips. Subsequently, we used a human reconstructed gene-network, Prioritizer, to rank candidate genes in the segmental gains and losses in our autism cohort. This analysis highlighted several candidate genes already known to be mutated in cognitive and neuropsychiatric disorders, including RAI1, BRD1, and LARGE. In addition, the LARGE gene was part of a sub-network of seven genes functioning in glycobiology, present in seven copy-number changes specifically identified in autism patients with limited co-morbidity. Three of these seven copy-number changes were de novo in the patients. In autism patients with a complex phenotype and healthy controls no such sub-network was identified. An independent systematic analysis of 13 published autism susceptibility loci supports the involvement of genes related to glycobiology as we also identified the same or similar genes from those loci. Our findings suggest that the occurrence of genomic gains and losses of genes associated with glycobiology are important contributors to the development of ASD.

  8. Identifying Repetitive Institutional Review Board Stipulations by Natural Language Processing and Network Analysis.

    Science.gov (United States)

    Kury, Fabrício S P; Cimino, James J

    2015-01-01

    The corrections ("stipulations") to a proposed research study protocol produced by an institutional review board (IRB) can often be repetitive across many studies; however, there is no standard set of stipulations that could be used, for example, by researchers wishing to anticipate and correct problems in their research proposals prior to submitting to an IRB. The objective of the research was to computationally identify the most repetitive types of stipulations generated in the course of IRB deliberations. The text of each stipulation was normalized using the natural language processing techniques. An undirected weighted network was constructed in which each stipulation was represented by a node, and each link, if present, had weight corresponding to the TF-IDF Cosine Similarity of the stipulations. Network analysis software was then used to identify clusters in the network representing similar stipulations. The final results were correlated with additional data to produce further insights about the IRB workflow. From a corpus of 18,582 stipulations we identified 31 types of repetitive stipulations. Those types accounted for 3,870 stipulations (20.8% of the corpus) produced for 697 (88.7%) of all protocols in 392 (also 88.7%) of all the CNS IRB meetings with stipulations entered in our data source. A notable peroportion of the corrections produced by the IRB can be considered highly repetitive. Our shareable method relied on a minimal manual analysis and provides an intuitive exploration with theoretically unbounded granularity. Finer granularity allowed for the insight that is anticipated to prevent the need for identifying the IRB panel expertise or any human supervision. PMID:26262117

  9. Systematic enrichment analysis of gene expression profiling studies identifies consensus pathways implicated in colorectal cancer development

    Directory of Open Access Journals (Sweden)

    Jesús Lascorz

    2011-01-01

    Full Text Available Background: A large number of gene expression profiling (GEP studies on colorectal carcinogenesis have been performed but no reliable gene signature has been identified so far due to the lack of reproducibility in the reported genes. There is growing evidence that functionally related genes, rather than individual genes, contribute to the etiology of complex traits. We used, as a novel approach, pathway enrichment tools to define functionally related genes that are consistently up- or down-regulated in colorectal carcinogenesis. Materials and Methods: We started the analysis with 242 unique annotated genes that had been reported by any of three recent meta-analyses covering GEP studies on genes differentially expressed in carcinoma vs normal mucosa. Most of these genes (218, 91.9% had been reported in at least three GEP studies. These 242 genes were submitted to bioinformatic analysis using a total of nine tools to detect enrichment of Gene Ontology (GO categories or Kyoto Encyclopedia of Genes and Genomes (KEGG pathways. As a final consistency criterion the pathway categories had to be enriched by several tools to be taken into consideration. Results: Our pathway-based enrichment analysis identified the categories of ribosomal protein constituents, extracellular matrix receptor interaction, carbonic anhydrase isozymes, and a general category related to inflammation and cellular response as significantly and consistently overrepresented entities. Conclusions: We triaged the genes covered by the published GEP literature on colorectal carcinogenesis and subjected them to multiple enrichment tools in order to identify the consistently enriched gene categories. These turned out to have known functional relationships to cancer development and thus deserve further investigation.

  10. Large-scale gene-centric meta-analysis across 32 studies identifies multiple lipid loci.

    Science.gov (United States)

    Asselbergs, Folkert W; Guo, Yiran; van Iperen, Erik P A; Sivapalaratnam, Suthesh; Tragante, Vinicius; Lanktree, Matthew B; Lange, Leslie A; Almoguera, Berta; Appelman, Yolande E; Barnard, John; Baumert, Jens; Beitelshees, Amber L; Bhangale, Tushar R; Chen, Yii-Der Ida; Gaunt, Tom R; Gong, Yan; Hopewell, Jemma C; Johnson, Toby; Kleber, Marcus E; Langaee, Taimour Y; Li, Mingyao; Li, Yun R; Liu, Kiang; McDonough, Caitrin W; Meijs, Matthijs F L; Middelberg, Rita P S; Musunuru, Kiran; Nelson, Christopher P; O'Connell, Jeffery R; Padmanabhan, Sandosh; Pankow, James S; Pankratz, Nathan; Rafelt, Suzanne; Rajagopalan, Ramakrishnan; Romaine, Simon P R; Schork, Nicholas J; Shaffer, Jonathan; Shen, Haiqing; Smith, Erin N; Tischfield, Sam E; van der Most, Peter J; van Vliet-Ostaptchouk, Jana V; Verweij, Niek; Volcik, Kelly A; Zhang, Li; Bailey, Kent R; Bailey, Kristian M; Bauer, Florianne; Boer, Jolanda M A; Braund, Peter S; Burt, Amber; Burton, Paul R; Buxbaum, Sarah G; Chen, Wei; Cooper-Dehoff, Rhonda M; Cupples, L Adrienne; deJong, Jonas S; Delles, Christian; Duggan, David; Fornage, Myriam; Furlong, Clement E; Glazer, Nicole; Gums, John G; Hastie, Claire; Holmes, Michael V; Illig, Thomas; Kirkland, Susan A; Kivimaki, Mika; Klein, Ronald; Klein, Barbara E; Kooperberg, Charles; Kottke-Marchant, Kandice; Kumari, Meena; LaCroix, Andrea Z; Mallela, Laya; Murugesan, Gurunathan; Ordovas, Jose; Ouwehand, Willem H; Post, Wendy S; Saxena, Richa; Scharnagl, Hubert; Schreiner, Pamela J; Shah, Tina; Shields, Denis C; Shimbo, Daichi; Srinivasan, Sathanur R; Stolk, Ronald P; Swerdlow, Daniel I; Taylor, Herman A; Topol, Eric J; Toskala, Elina; van Pelt, Joost L; van Setten, Jessica; Yusuf, Salim; Whittaker, John C; Zwinderman, A H; Anand, Sonia S; Balmforth, Anthony J; Berenson, Gerald S; Bezzina, Connie R; Boehm, Bernhard O; Boerwinkle, Eric; Casas, Juan P; Caulfield, Mark J; Clarke, Robert; Connell, John M; Cruickshanks, Karen J; Davidson, Karina W; Day, Ian N M; de Bakker, Paul I W; Doevendans, Pieter A; Dominiczak, Anna F; Hall, Alistair S; Hartman, Catharina A; Hengstenberg, Christian; Hillege, Hans L; Hofker, Marten H; Humphries, Steve E; Jarvik, Gail P; Johnson, Julie A; Kaess, Bernhard M; Kathiresan, Sekar; Koenig, Wolfgang; Lawlor, Debbie A; März, Winfried; Melander, Olle; Mitchell, Braxton D; Montgomery, Grant W; Munroe, Patricia B; Murray, Sarah S; Newhouse, Stephen J; Onland-Moret, N Charlotte; Poulter, Neil; Psaty, Bruce; Redline, Susan; Rich, Stephen S; Rotter, Jerome I; Schunkert, Heribert; Sever, Peter; Shuldiner, Alan R; Silverstein, Roy L; Stanton, Alice; Thorand, Barbara; Trip, Mieke D; Tsai, Michael Y; van der Harst, Pim; van der Schoot, Ellen; van der Schouw, Yvonne T; Verschuren, W M Monique; Watkins, Hugh; Wilde, Arthur A M; Wolffenbuttel, Bruce H R; Whitfield, John B; Hovingh, G Kees; Ballantyne, Christie M; Wijmenga, Cisca; Reilly, Muredach P; Martin, Nicholas G; Wilson, James G; Rader, Daniel J; Samani, Nilesh J; Reiner, Alex P; Hegele, Robert A; Kastelein, John J P; Hingorani, Aroon D; Talmud, Philippa J; Hakonarson, Hakon; Elbers, Clara C; Keating, Brendan J; Drenos, Fotios

    2012-11-01

    Genome-wide association studies (GWASs) have identified many SNPs underlying variations in plasma-lipid levels. We explore whether additional loci associated with plasma-lipid phenotypes, such as high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), total cholesterol (TC), and triglycerides (TGs), can be identified by a dense gene-centric approach. Our meta-analysis of 32 studies in 66,240 individuals of European ancestry was based on the custom ∼50,000 SNP genotyping array (the ITMAT-Broad-CARe array) covering ∼2,000 candidate genes. SNP-lipid associations were replicated either in a cohort comprising an additional 24,736 samples or within the Global Lipid Genetic Consortium. We identified four, six, ten, and four unreported SNPs in established lipid genes for HDL-C, LDL-C, TC, and TGs, respectively. We also identified several lipid-related SNPs in previously unreported genes: DGAT2, HCAR2, GPIHBP1, PPARG, and FTO for HDL-C; SOCS3, APOH, SPTY2D1, BRCA2, and VLDLR for LDL-C; SOCS3, UGT1A1, BRCA2, UBE3B, FCGR2A, CHUK, and INSIG2 for TC; and SERPINF2, C4B, GCK, GATA4, INSR, and LPAL2 for TGs. The proportion of explained phenotypic variance in the subset of studies providing individual-level data was 9.9% for HDL-C, 9.5% for LDL-C, 10.3% for TC, and 8.0% for TGs. This large meta-analysis of lipid phenotypes with the use of a dense gene-centric approach identified multiple SNPs not previously described in established lipid genes and several previously unknown loci. The explained phenotypic variance from this approach was comparable to that from a meta-analysis of GWAS data, suggesting that a focused genotyping approach can further increase the understanding of heritability of plasma lipids. PMID:23063622

  11. Proteomic analysis of mammalian sperm cells identifies new components of the centrosome

    OpenAIRE

    Fırat, Elif Nur Karalar; Sante, Joshua; Elliott, Sarah; Stearns, Tim

    2014-01-01

    1 Proteomic analysis of mammalian sperm cells identifies new components of the centrosome Elif N. Firat-Karalar1,3, Joshua Sante1,4, Sarah Elliott1, and Tim Stearns1,2 1Department of Biology, Stanford University, Stanford, CA 94305-5020, USA 2Department of Genetics, Stanford School of Medicine, Stanford, CA 94305-5120, USA 3Current address: Department of Molecular Biology and Genetics, Koç University, Istanbul, 34450, Turkey 4Current address: Division of Pulmonary and ...

  12. Towards a typology of business process management professionals: identifying patterns of competences through latent semantic analysis

    DEFF Research Database (Denmark)

    Müller, Oliver; Schmiedel, Theresa; Gorbacheva, Elena; vom Brocke, Jan

    2016-01-01

    -related job advertisements in order to develop a typology of BPM professionals. This empirical analysis reveals distinct ideal types and profiles of BPM professionals on several levels of abstraction. A closer look at these ideal types and profiles confirms that BPM is a boundary-spanning field that requires...... interdisciplinary sets of competence that range from technical competences to business and systems competences. Based on the study’s findings, it is posited that individual and organisational alignment with the identified ideal types and profiles is likely to result in high employability and organisational BPM...

  13. Use of Antibiotic Resistance Analysis To Identify Nonpoint Sources of Fecal Pollution

    OpenAIRE

    Wiggins, B A; Andrews, R. W.; Conway, R. A.; Corr, C. L.; Dobratz, E. J.; Dougherty, D. P.; Eppard, J. R.; Knupp, S. R.; Limjoco, M. C.; Mettenburg, J. M.; Rinehardt, J. M.; Sonsino, J.; Torrijos, R. L.; Zimmerman, M.E.

    1999-01-01

    A study was conducted to determine the reliability and repeatability of antibiotic resistance analysis as a method of identifying the sources of fecal pollution in surface water and groundwater. Four large sets of isolates of fecal streptococci (from 2,635 to 5,990 isolates per set) were obtained from 236 samples of human sewage and septage, cattle and poultry feces, and pristine waters. The patterns of resistance of the isolates to each of four concentrations of up to nine antibiotics were a...

  14. Identifying Chemistry Prospective Teachers' Difficulties Encountered in Practice of The Subject Area Textbook Analysis Course

    Directory of Open Access Journals (Sweden)

    Zeynep Bak Kibar

    2010-12-01

    Full Text Available Prospective teachers should already be aware of possible mistakes in the textbooks and have knowledge of textbooks selection procedure and criteria. These knowledge is tried to being gained to prospective teachers at the Subject Area Textbook Analysis Course. It is important to identify the difficulties they encountered and the skills they gained from the point of implementing effectively this lesson. To research these problems, a case study was realized with 38 student teachers from Department of Secondary Science and Mathematics Education Chemistry Teaching Program at the Karadeniz Technical University Faculty of Fatih Education. Results suggest that prospective teachers gained the knowledge of research, teaching life, writing report, and analyzing textbook. Also, it was determined that they had difficulties in group working, literature reviewing, report writing, analyzing textbook, and critical analysis.

  15. Gene expression meta-analysis identifies metastatic pathways and transcription factors in breast cancer

    DEFF Research Database (Denmark)

    Thomassen, Mads; Tan, Qihua; Kruse, Torben

    2008-01-01

    studies. Besides classification of outcome, these global expression patterns may reflect biological mechanisms involved in metastasis of breast cancer. Our purpose has been to investigate pathways and transcription factors involved in metastasis by use of gene expression data sets. METHODS: We have...... tumors compared to non-metastasizing tumors. Meta-analysis has been used to determine overrepresentation of pathways and transcription factors targets, concordant deregulated in metastasizing breast tumors, in several data sets. RESULTS: The major findings are upregulation of cell cycle pathways and a...... system, angiogenesis, DNA repair and several signal transduction pathways are associated to metastasis. Finally several transcription factors e.g. E2F, NFY, and YY1 are identified as being involved in metastasis. CONCLUSIONS: By pathway meta-analysis many biological mechanisms beyond major...

  16. Whole Genome Analysis of Injectional Anthrax Identifies Two Disease Clusters Spanning More Than 13 Years

    Directory of Open Access Journals (Sweden)

    Paul Keim

    2015-11-01

    Lay Person Interpretation: Injectional anthrax has been plaguing heroin drug users across Europe for more than 10 years. In order to better understand this outbreak, we assessed genomic relationships of all available injectional anthrax strains from four countries spanning a >12 year period. Very few differences were identified using genome-based analysis, but these differentiated the isolates into two distinct clusters. This strongly supports a hypothesis of at least two separate anthrax spore contamination events perhaps during the drug production processes. Identification of two events would not have been possible from standard epidemiological analysis. These comprehensive data will be invaluable for classifying future injectional anthrax isolates and for future geographic attribution.

  17. Towards a typology of business process management professionals: identifying patterns of competences through latent semantic analysis

    Science.gov (United States)

    Müller, Oliver; Schmiedel, Theresa; Gorbacheva, Elena; vom Brocke, Jan

    2016-01-01

    While researchers have analysed the organisational competences that are required for successful Business Process Management (BPM) initiatives, individual BPM competences have not yet been studied in detail. In this study, latent semantic analysis is used to examine a collection of 1507 BPM-related job advertisements in order to develop a typology of BPM professionals. This empirical analysis reveals distinct ideal types and profiles of BPM professionals on several levels of abstraction. A closer look at these ideal types and profiles confirms that BPM is a boundary-spanning field that requires interdisciplinary sets of competence that range from technical competences to business and systems competences. Based on the study's findings, it is posited that individual and organisational alignment with the identified ideal types and profiles is likely to result in high employability and organisational BPM success.

  18. Quantitative assessment of in-solution digestion efficiency identifies optimal protocols for unbiased protein analysis

    DEFF Research Database (Denmark)

    Leon, Ileana R; Schwämmle, Veit; Jensen, Ole N; Sprenger, Richard Remko

    2013-01-01

    combination of qualitative and quantitative LC-MS/MS methods and statistical data analysis. In contrast to previous studies we employed both standard qualitative as well as data-independent quantitative workflows to systematically assess trypsin digestion efficiency and bias using mitochondrial protein...... protocols and replicates, with an average 40% protein sequence coverage and an average of 11 peptides identified per protein. Systematic quantitative and statistical analysis of physicochemical parameters demonstrated that deoxycholate-assisted in-solution digestion combined with phase transfer allows for......The majority of mass spectrometry-based protein quantification studies uses peptide-centric analytical methods and thus strongly relies on efficient and unbiased protein digestion protocols for sample preparation. We present a novel objective approach to assess protein digestion efficiency using a...

  19. Hot spot analysis applied to identify ecosystem services potential in Lithuania

    Science.gov (United States)

    Pereira, Paulo; Depellegrin, Daniel; Misiune, Ieva

    2016-04-01

    Hot spot analysis are very useful to identify areas with similar characteristics. This is important for a sustainable use of the territory, since we can identify areas that need to be protected, or restored. This is a great advantage in terms of land use planning and management, since we can allocate resources, reduce the economical costs and do a better intervention in the landscape. Ecosystem services (ES) are different according land use. Since landscape is very heterogeneous, it is of major importance understand their spatial pattern and where are located the areas that provide better ES and the others that provide less services. The objective of this work is to use hot-spot analysis to identify areas with the most valuable ES in Lithuania. CORINE land-cover (CLC) of 2006 was used as the main spatial information. This classification uses a grid of 100 m resolution and extracted a total of 31 land use types. ES ranking was carried out based on expert knowledge. They were asked to evaluate the ES potential of each different CLC from 0 (no potential) to 5 (very high potential). Hot spot analysis were evaluated using the Getis-ord test, which identifies cluster analysis available in ArcGIS toolbox. This tool identifies areas with significantly high low values and significant high values at a p level of 0.05. In this work we used hot spot analysis to assess the distribution of providing, regulating cultural and total (sum of the previous 3) ES. The Z value calculated from Getis-ord was used to statistical analysis to access the clusters of providing, regulating cultural and total ES. ES with high Z value show that they have a high number of cluster areas with high potential of ES. The results showed that the Z-score was significantly different among services (Kruskal Wallis ANOVA =834. 607, p<0.001). The Z score of providing services (0.096±2.239) were significantly higher than the total (0.093±2.045), cultural (0.080±1.979) and regulating (0.076±1.961). These

  20. Spatial and Temporal Dust Source Variability in Northern China Identified Using Advanced Remote Sensing Analysis

    Science.gov (United States)

    Taramelli, A.; Pasqui, M.; Barbour, J.; Kirschbaum, D.; Bottai, L.; Busillo, C.; Calastrini, F.; Guarnieri, F.; Small, C.

    2013-01-01

    The aim of this research is to provide a detailed characterization of spatial patterns and temporal trends in the regional and local dust source areas within the desert of the Alashan Prefecture (Inner Mongolia, China). This problem was approached through multi-scale remote sensing analysis of vegetation changes. The primary requirements for this regional analysis are high spatial and spectral resolution data, accurate spectral calibration and good temporal resolution with a suitable temporal baseline. Landsat analysis and field validation along with the low spatial resolution classifications from MODIS and AVHRR are combined to provide a reliable characterization of the different potential dust-producing sources. The representation of intra-annual and inter-annual Normalized Difference Vegetation Index (NDVI) trend to assess land cover discrimination for mapping potential dust source using MODIS and AVHRR at larger scale is enhanced by Landsat Spectral Mixing Analysis (SMA). The combined methodology is to determine the extent to which Landsat can distinguish important soils types in order to better understand how soil reflectance behaves at seasonal and inter-annual timescales. As a final result mapping soil surface properties using SMA is representative of responses of different land and soil cover previously identified by NDVI trend. The results could be used in dust emission models even if they are not reflecting aggregate formation, soil stability or particle coatings showing to be critical for accurately represent dust source over different regional and local emitting areas.

  1. Identifying Talent in Youth Sport: A Novel Methodology Using Higher-Dimensional Analysis.

    Science.gov (United States)

    Till, Kevin; Jones, Ben L; Cobley, Stephen; Morley, David; O'Hara, John; Chapman, Chris; Cooke, Carlton; Beggs, Clive B

    2016-01-01

    Prediction of adult performance from early age talent identification in sport remains difficult. Talent identification research has generally been performed using univariate analysis, which ignores multivariate relationships. To address this issue, this study used a novel higher-dimensional model to orthogonalize multivariate anthropometric and fitness data from junior rugby league players, with the aim of differentiating future career attainment. Anthropometric and fitness data from 257 Under-15 rugby league players was collected. Players were grouped retrospectively according to their future career attainment (i.e., amateur, academy, professional). Players were blindly and randomly divided into an exploratory (n = 165) and validation dataset (n = 92). The exploratory dataset was used to develop and optimize a novel higher-dimensional model, which combined singular value decomposition (SVD) with receiver operating characteristic analysis. Once optimized, the model was tested using the validation dataset. SVD analysis revealed 60 m sprint and agility 505 performance were the most influential characteristics in distinguishing future professional players from amateur and academy players. The exploratory dataset model was able to distinguish between future amateur and professional players with a high degree of accuracy (sensitivity = 85.7%, specificity = 71.1%; p<0.001), although it could not distinguish between future professional and academy players. The validation dataset model was able to distinguish future professionals from the rest with reasonable accuracy (sensitivity = 83.3%, specificity = 63.8%; p = 0.003). Through the use of SVD analysis it was possible to objectively identify criteria to distinguish future career attainment with a sensitivity over 80% using anthropometric and fitness data alone. As such, this suggests that SVD analysis may be a useful analysis tool for research and practice within talent identification. PMID:27224653

  2. Identifying Talent in Youth Sport: A Novel Methodology Using Higher-Dimensional Analysis.

    Directory of Open Access Journals (Sweden)

    Kevin Till

    Full Text Available Prediction of adult performance from early age talent identification in sport remains difficult. Talent identification research has generally been performed using univariate analysis, which ignores multivariate relationships. To address this issue, this study used a novel higher-dimensional model to orthogonalize multivariate anthropometric and fitness data from junior rugby league players, with the aim of differentiating future career attainment. Anthropometric and fitness data from 257 Under-15 rugby league players was collected. Players were grouped retrospectively according to their future career attainment (i.e., amateur, academy, professional. Players were blindly and randomly divided into an exploratory (n = 165 and validation dataset (n = 92. The exploratory dataset was used to develop and optimize a novel higher-dimensional model, which combined singular value decomposition (SVD with receiver operating characteristic analysis. Once optimized, the model was tested using the validation dataset. SVD analysis revealed 60 m sprint and agility 505 performance were the most influential characteristics in distinguishing future professional players from amateur and academy players. The exploratory dataset model was able to distinguish between future amateur and professional players with a high degree of accuracy (sensitivity = 85.7%, specificity = 71.1%; p<0.001, although it could not distinguish between future professional and academy players. The validation dataset model was able to distinguish future professionals from the rest with reasonable accuracy (sensitivity = 83.3%, specificity = 63.8%; p = 0.003. Through the use of SVD analysis it was possible to objectively identify criteria to distinguish future career attainment with a sensitivity over 80% using anthropometric and fitness data alone. As such, this suggests that SVD analysis may be a useful analysis tool for research and practice within talent identification.

  3. Identifying the oil price-macroeconomy relationship: An empirical mode decomposition analysis of US data

    International Nuclear Information System (INIS)

    This paper employs the empirical mode decomposition (EMD) method to filter cyclical components of US quarterly gross domestic product (GDP) and quarterly average oil price (West Texas Intermediate-WTI). The method is adaptive and applicable to non-linear and non-stationary data. A correlation analysis of the resulting components is performed and examined for insights into the relationship between oil and the economy. Several components of this relationship are identified. However, the principal one is that the medium-run component of the oil price has a negative relationship with the main cyclical component of the GDP. In addition, weak correlations suggesting a lagging, demand-driven component and a long-run component of the relationship were also identified. Comparisons of these findings with significant oil supply disruption and recession dates were supportive. The study identifies a number of lessons applicable to recent oil market events, including the eventuality of persistent oil price and economic decline following a long oil price run-up. In addition, it was found that oil market related exogenous events are associated with short- to medium-run price implications regardless of whether they lead to actual supply losses.

  4. Identifying the oil price-macroeconomy relationship. An empirical mode decomposition analysis of US data

    International Nuclear Information System (INIS)

    This paper employs the empirical mode decomposition (EMD) method to filter cyclical components of US quarterly gross domestic product (GDP) and quarterly average oil price (West Texas Intermediate - WTI). The method is adaptive and applicable to non-linear and non-stationary data. A correlation analysis of the resulting components is performed and examined for insights into the relationship between oil and the economy. Several components of this relationship are identified. However, the principal one is that the medium-run component of the oil price has a negative relationship with the main cyclical component of the GDP. In addition, weak correlations suggesting a lagging, demand-driven component and a long-run component of the relationship were also identified. Comparisons of these findings with significant oil supply disruption and recession dates were supportive. The study identifies a number of lessons applicable to recent oil market events, including the eventuality of persistent oil price and economic decline following a long oil price run-up. In addition, it was found that oil market related exogenous events are associated with short- to medium-run price implications regardless of whether they lead to actual supply losses. (author)

  5. Computational EST database analysis identifies a novel member of the neuropoietic cytokine family.

    Science.gov (United States)

    Shi, Y; Wang, W; Yourey, P A; Gohari, S; Zukauskas, D; Zhang, J; Ruben, S; Alderson, R F

    1999-08-19

    A novel member of the neuropoietic cytokine family has been cloned and the protein expressed and characterized. In an effort to identify novel secreted proteins, an algorithm incorporating neural network algorithms was applied to a large EST database. A full-length clone was identified that is 1710 bp in length and has a single open reading frame of 225 amino acids. This new cytokine is most homologous to cardiotrophin-1, having a similarity and an identity of 46 and 29%, respectively, and therefore we have named it cardiotrophin-like cytokine (CLC). Northern hybridization analysis identified a 1.4-kb messenger RNA that is highly expressed in spleen and peripheral leukocytes. Purified recombinant CLC induced the activation of NFkappaB and SRE reporter constructs in the TF-1, U937, and M1 cell lines. Furthermore, the signal transduction pathway for CLC was characterized in the neuroblastoma cell line SK-N-MC and found to involve tyrosine phosphorylation of gp130 and STAT-1. PMID:10448081

  6. GenSSI: a software toolbox for structural identifiability analysis of biological models

    Science.gov (United States)

    Chiş, Oana; Banga, Julio R.; Balsa-Canto, Eva

    2011-01-01

    Summary: Mathematical modeling has a key role in systems biology. Model building is often regarded as an iterative loop involving several tasks, among which the estimation of unknown parameters of the model from a certain set of experimental data is of central importance. This problem of parameter estimation has many possible pitfalls, and modelers should be very careful to avoid them. Many of such difficulties arise from a fundamental (yet often overlooked) property: the so-called structural (or a priori) identifiability, which considers the uniqueness of the estimated parameters. Obviously, the structural identifiability of any tentative model should be checked at the beginning of the model building loop. However, checking this property for arbitrary non-linear dynamic models is not an easy task. Here we present a software toolbox, GenSSI (Generating Series for testing Structural Identifiability), which enables non-expert users to carry out such analysis. The toolbox runs under the popular MATLAB environment and is accompanied by detailed documentation and relevant examples. Availability: The GenSSI toolbox and the related documentation are available at http://www.iim.csic.es/%7Egenssi. Contact: ebalsa@iim.csic.es PMID:21784792

  7. Using FAME Analysis to Compare, Differentiate, and Identify Multiple Nematode Species

    Science.gov (United States)

    Sekora, Nicholas S.; Agudelo, Paula; van Santen, Edzard; McInroy, John A.

    2009-01-01

    We have adapted the Sherlock® Microbial Identification system for identification of plant parasitic nematodes based on their fatty acid profiles. Fatty acid profiles of 12 separate plant parasitic nematode species have been determined using this system. Additionally, separate profiles have been developed for Rotylenchulus reniformis and Meloidogyne incognita based on their host plant, four species and three races within the Meloidogyne genus, and three life stages of Heterodera glycines. Statistically, 85% of these profiles can be delimited from one another; the specific comparisons between the cyst and vermiform stages of H. glycines, M. hapla and M. arenaria, and M. arenaria and M. javanica cannot be segregated using canonical analysis. By incorporating each of these fatty acid profiles into the Sherlock® Analysis Software, 20 library entries were created. While there was some similarity among profiles, all entries correctly identified the proper organism to genus, species, race, life stage, and host at greater than 86% accuracy. The remaining 14% were correctly identified to genus, although species and race may not be correct due to the underlying variables of host or life stage. These results are promising and indicate that this library could be used for diagnostics labs to increase response time. PMID:22736811

  8. Large-scale association analysis identifies new risk loci for coronary artery disease.

    Science.gov (United States)

    Deloukas, Panos; Kanoni, Stavroula; Willenborg, Christina; Farrall, Martin; Assimes, Themistocles L; Thompson, John R; Ingelsson, Erik; Saleheen, Danish; Erdmann, Jeanette; Goldstein, Benjamin A; Stirrups, Kathleen; König, Inke R; Cazier, Jean-Baptiste; Johansson, Asa; Hall, Alistair S; Lee, Jong-Young; Willer, Cristen J; Chambers, John C; Esko, Tõnu; Folkersen, Lasse; Goel, Anuj; Grundberg, Elin; Havulinna, Aki S; Ho, Weang K; Hopewell, Jemma C; Eriksson, Niclas; Kleber, Marcus E; Kristiansson, Kati; Lundmark, Per; Lyytikäinen, Leo-Pekka; Rafelt, Suzanne; Shungin, Dmitry; Strawbridge, Rona J; Thorleifsson, Gudmar; Tikkanen, Emmi; Van Zuydam, Natalie; Voight, Benjamin F; Waite, Lindsay L; Zhang, Weihua; Ziegler, Andreas; Absher, Devin; Altshuler, David; Balmforth, Anthony J; Barroso, Inês; Braund, Peter S; Burgdorf, Christof; Claudi-Boehm, Simone; Cox, David; Dimitriou, Maria; Do, Ron; Doney, Alex S F; El Mokhtari, NourEddine; Eriksson, Per; Fischer, Krista; Fontanillas, Pierre; Franco-Cereceda, Anders; Gigante, Bruna; Groop, Leif; Gustafsson, Stefan; Hager, Jörg; Hallmans, Göran; Han, Bok-Ghee; Hunt, Sarah E; Kang, Hyun M; Illig, Thomas; Kessler, Thorsten; Knowles, Joshua W; Kolovou, Genovefa; Kuusisto, Johanna; Langenberg, Claudia; Langford, Cordelia; Leander, Karin; Lokki, Marja-Liisa; Lundmark, Anders; McCarthy, Mark I; Meisinger, Christa; Melander, Olle; Mihailov, Evelin; Maouche, Seraya; Morris, Andrew D; Müller-Nurasyid, Martina; Nikus, Kjell; Peden, John F; Rayner, N William; Rasheed, Asif; Rosinger, Silke; Rubin, Diana; Rumpf, Moritz P; Schäfer, Arne; Sivananthan, Mohan; Song, Ci; Stewart, Alexandre F R; Tan, Sian-Tsung; Thorgeirsson, Gudmundur; van der Schoot, C Ellen; Wagner, Peter J; Wells, George A; Wild, Philipp S; Yang, Tsun-Po; Amouyel, Philippe; Arveiler, Dominique; Basart, Hanneke; Boehnke, Michael; Boerwinkle, Eric; Brambilla, Paolo; Cambien, Francois; Cupples, Adrienne L; de Faire, Ulf; Dehghan, Abbas; Diemert, Patrick; Epstein, Stephen E; Evans, Alun; Ferrario, Marco M; Ferrières, Jean; Gauguier, Dominique; Go, Alan S; Goodall, Alison H; Gudnason, Villi; Hazen, Stanley L; Holm, Hilma; Iribarren, Carlos; Jang, Yangsoo; Kähönen, Mika; Kee, Frank; Kim, Hyo-Soo; Klopp, Norman; Koenig, Wolfgang; Kratzer, Wolfgang; Kuulasmaa, Kari; Laakso, Markku; Laaksonen, Reijo; Lee, Ji-Young; Lind, Lars; Ouwehand, Willem H; Parish, Sarah; Park, Jeong E; Pedersen, Nancy L; Peters, Annette; Quertermous, Thomas; Rader, Daniel J; Salomaa, Veikko; Schadt, Eric; Shah, Svati H; Sinisalo, Juha; Stark, Klaus; Stefansson, Kari; Trégouët, David-Alexandre; Virtamo, Jarmo; Wallentin, Lars; Wareham, Nicholas; Zimmermann, Martina E; Nieminen, Markku S; Hengstenberg, Christian; Sandhu, Manjinder S; Pastinen, Tomi; Syvänen, Ann-Christine; Hovingh, G Kees; Dedoussis, George; Franks, Paul W; Lehtimäki, Terho; Metspalu, Andres; Zalloua, Pierre A; Siegbahn, Agneta; Schreiber, Stefan; Ripatti, Samuli; Blankenberg, Stefan S; Perola, Markus; Clarke, Robert; Boehm, Bernhard O; O'Donnell, Christopher; Reilly, Muredach P; März, Winfried; Collins, Rory; Kathiresan, Sekar; Hamsten, Anders; Kooner, Jaspal S; Thorsteinsdottir, Unnur; Danesh, John; Palmer, Colin N A; Roberts, Robert; Watkins, Hugh; Schunkert, Heribert; Samani, Nilesh J

    2013-01-01

    Coronary artery disease (CAD) is the commonest cause of death. Here, we report an association analysis in 63,746 CAD cases and 130,681 controls identifying 15 loci reaching genome-wide significance, taking the number of susceptibility loci for CAD to 46, and a further 104 independent variants (r(2) < 0.2) strongly associated with CAD at a 5% false discovery rate (FDR). Together, these variants explain approximately 10.6% of CAD heritability. Of the 46 genome-wide significant lead SNPs, 12 show a significant association with a lipid trait, and 5 show a significant association with blood pressure, but none is significantly associated with diabetes. Network analysis with 233 candidate genes (loci at 10% FDR) generated 5 interaction networks comprising 85% of these putative genes involved in CAD. The four most significant pathways mapping to these networks are linked to lipid metabolism and inflammation, underscoring the causal role of these activities in the genetic etiology of CAD. Our study provides insights into the genetic basis of CAD and identifies key biological pathways. PMID:23202125

  9. Root Source Analysis/ValuStream[Trade Mark] - A Methodology for Identifying and Managing Risks

    Science.gov (United States)

    Brown, Richard Lee

    2008-01-01

    Root Source Analysis (RoSA) is a systems engineering methodology that has been developed at NASA over the past five years. It is designed to reduce costs, schedule, and technical risks by systematically examining critical assumptions and the state of the knowledge needed to bring to fruition the products that satisfy mission-driven requirements, as defined for each element of the Work (or Product) Breakdown Structure (WBS or PBS). This methodology is sometimes referred to as the ValuStream method, as inherent in the process is the linking and prioritizing of uncertainties arising from knowledge shortfalls directly to the customer's mission driven requirements. RoSA and ValuStream are synonymous terms. RoSA is not simply an alternate or improved method for identifying risks. It represents a paradigm shift. The emphasis is placed on identifying very specific knowledge shortfalls and assumptions that are the root sources of the risk (the why), rather than on assessing the WBS product(s) themselves (the what). In so doing RoSA looks forward to anticipate, identify, and prioritize knowledge shortfalls and assumptions that are likely to create significant uncertainties/ risks (as compared to Root Cause Analysis, which is most often used to look back to discover what was not known, or was assumed, that caused the failure). Experience indicates that RoSA, with its primary focus on assumptions and the state of the underlying knowledge needed to define, design, build, verify, and operate the products, can identify critical risks that historically have been missed by the usual approaches (i.e., design review process and classical risk identification methods). Further, the methodology answers four critical questions for decision makers and risk managers: 1. What s been included? 2. What's been left out? 3. How has it been validated? 4. Has the real source of the uncertainty/ risk been identified, i.e., is the perceived problem the real problem? Users of the RoSA methodology

  10. Using EMMA and MIX analysis to assess mixing ratios and to identify hydrochemical reactions in groundwater.

    Science.gov (United States)

    Tubau, Isabel; Vàzquez-Suñé, Enric; Jurado, Anna; Carrera, Jesús

    2014-02-01

    This study presents a methodology using an end-member mixing analysis (EMMA) and MIX to compute mixing ratios and to identify hydrochemical reactions in groundwater. The methodology consists of (1) identifying the potential sources of recharge, (2) characterising recharge sources and mixed water samples using hydrogeochemistry, (3) selecting chemical species to be used in the analysis and (4) calculating mixing ratios and identification of hydrochemical reactions in groundwater. This approach has been applied in the Besòs River Delta area, where we have collected 51 groundwater samples and a long data register of the hydrogeochemistry of the Besòs River created by the Catalan Water Agency is also available. The EMMA performed in the Besòs River suggests that 3 end-members are required to explain its temporal variability, accounting for the species chloride, sulphate, sodium, bicarbonate, calcium, magnesium, potassium, ammonium, total nitrogen, and electrical conductivity. One river end-member is from the wet periods (W1), and two are from dry periods (D1 and D2). These end-members have been used to compute mixing ratios in groundwater samples because the Besòs River is considered the main recharge source for the aquifer. Overall, dry season end-members dominated over the wet season end-member, in a proportion of 4:1. Moreover, when departures from the mixing line exist, geochemical processes might be identified. Redox processes, carbonate dissolution/precipitation and ion exchange processes may occur in Besòs Delta aquifer. PMID:24246935

  11. Methylation Linear Discriminant Analysis (MLDA for identifying differentially methylated CpG islands

    Directory of Open Access Journals (Sweden)

    Vass J Keith

    2008-08-01

    Full Text Available Abstract Background Hypermethylation of promoter CpG islands is strongly correlated to transcriptional gene silencing and epigenetic maintenance of the silenced state. As well as its role in tumor development, CpG island methylation contributes to the acquisition of resistance to chemotherapy. Differential Methylation Hybridisation (DMH is one technique used for genome-wide DNA methylation analysis. The study of such microarray data sets should ideally account for the specific biological features of DNA methylation and the non-symmetrical distribution of the ratios of unmethylated and methylated sequences hybridised on the array. We have therefore developed a novel algorithm tailored to this type of data, Methylation Linear Discriminant Analysis (MLDA. Results MLDA was programmed in R (version 2.7.0 and the package is available at CRAN 1. This approach utilizes linear regression models of non-normalised hybridisation data to define methylation status. Log-transformed signal intensities of unmethylated controls on the microarray are used as a reference. The signal intensities of DNA samples digested with methylation sensitive restriction enzymes and mock digested are then transformed to the likelihood of a locus being methylated using this reference. We tested the ability of MLDA to identify loci differentially methylated as analysed by DMH between cisplatin sensitive and resistant ovarian cancer cell lines. MLDA identified 115 differentially methylated loci and 23 out of 26 of these loci have been independently validated by Methylation Specific PCR and/or bisulphite pyrosequencing. Conclusion MLDA has advantages for analyzing methylation data from CpG island microarrays, since there is a clear rational for the definition of methylation status, it uses DMH data without between-group normalisation and is less influenced by cross-hybridisation of loci. The MLDA algorithm successfully identified differentially methylated loci between two classes of

  12. Real-time analysis application for identifying bursty local areas related to emergency topics.

    Science.gov (United States)

    Sakai, Tatsuhiro; Tamura, Keiichi

    2015-01-01

    Since social media started getting more attention from users on the Internet, social media has been one of the most important information source in the world. Especially, with the increasing popularity of social media, data posted on social media sites are rapidly becoming collective intelligence, which is a term used to refer to new media that is displacing traditional media. In this paper, we focus on geotagged tweets on the Twitter site. These geotagged tweets are referred to as georeferenced documents because they include not only a short text message, but also the documents' posting time and location. Many researchers have been tackling the development of new data mining techniques for georeferenced documents to identify and analyze emergency topics, such as natural disasters, weather, diseases, and other incidents. In particular, the utilization of geotagged tweets to identify and analyze natural disasters has received much attention from administrative agencies recently because some case studies have achieved compelling results. In this paper, we propose a novel real-time analysis application for identifying bursty local areas related to emergency topics. The aim of our new application is to provide new platforms that can identify and analyze the localities of emergency topics. The proposed application is composed of three core computational intelligence techniques: the Naive Bayes classifier technique, the spatiotemporal clustering technique, and the burst detection technique. Moreover, we have implemented two types of application interface: a Web application interface and an android application interface. To evaluate the proposed application, we have implemented a real-time weather observation system embedded the proposed application. we used actual crawling geotagged tweets posted on the Twitter site. The weather observation system successfully detected bursty local areas related to observed emergency weather topics. PMID:25918679

  13. Transcriptomic Analysis Using Olive Varieties and Breeding Progenies Identifies Candidate Genes Involved in Plant Architecture

    Science.gov (United States)

    González-Plaza, Juan J.; Ortiz-Martín, Inmaculada; Muñoz-Mérida, Antonio; García-López, Carmen; Sánchez-Sevilla, José F.; Luque, Francisco; Trelles, Oswaldo; Bejarano, Eduardo R.; De La Rosa, Raúl; Valpuesta, Victoriano; Beuzón, Carmen R.

    2016-01-01

    Plant architecture is a critical trait in fruit crops that can significantly influence yield, pruning, planting density and harvesting. Little is known about how plant architecture is genetically determined in olive, were most of the existing varieties are traditional with an architecture poorly suited for modern growing and harvesting systems. In the present study, we have carried out microarray analysis of meristematic tissue to compare expression profiles of olive varieties displaying differences in architecture, as well as seedlings from their cross pooled on the basis of their sharing architecture-related phenotypes. The microarray used, previously developed by our group has already been applied to identify candidates genes involved in regulating juvenile to adult transition in the shoot apex of seedlings. Varieties with distinct architecture phenotypes and individuals from segregating progenies displaying opposite architecture features were used to link phenotype to expression. Here, we identify 2252 differentially expressed genes (DEGs) associated to differences in plant architecture. Microarray results were validated by quantitative RT-PCR carried out on genes with functional annotation likely related to plant architecture. Twelve of these genes were further analyzed in individual seedlings of the corresponding pool. We also examined Arabidopsis mutants in putative orthologs of these targeted candidate genes, finding altered architecture for most of them. This supports a functional conservation between species and potential biological relevance of the candidate genes identified. This study is the first to identify genes associated to plant architecture in olive, and the results obtained could be of great help in future programs aimed at selecting phenotypes adapted to modern cultivation practices in this species. PMID:26973682

  14. Co-expression Analysis Identifies CRC and AP1 the Regulator of Arabidopsis Fatty Acid Biosynthesis

    Institute of Scientific and Technical Information of China (English)

    Xinxin Han; Linlin Yin; Hongwei Xue

    2012-01-01

    Fatty acids (FAs) play crucial rules in signal transduction and plant development,however,the regulation of FA metabolism is still poorly understood.To study the relevant regulatory network,fifty-eight FA biosynthesis genes including de novo synthases,desaturases and elongases were selected as "guide genes" to construct the co-expression network.Calculation of the correlation between all Arabidopsis thaliana (L.) genes with each guide gene by Arabidopsis co-expression dating mining tools (ACT)identifies 797 candidate FA-correlated genes.Gene ontology (GO) analysis of these co-expressed genes showed they are tightly correlated to photosynthesis and carbohydrate metabolism,and function in many processes.Interestingly,63 transcription factors (TFs) were identified as candidate FA biosynthesis regulators and 8 TF families are enriched.Two TF genes,CRC and AP1,both correlating with 8 FA guide genes,were further characterized.Analyses of the ap1 and crc mutant showed the altered total FA composition of mature seeds.The contents of palmitoleic acid,stearic acid,arachidic acid and eicosadienoic acid are decreased,whereas that of oleic acid is increased in ap1 and crc seeds,which is consistent with the qRT-PCR analysis revealing the suppressed expression of the corresponding guide genes.In addition,yeast one-hybrid analysis and electrophoretic mobility shift assay (EMSA) revealed that CRC can bind to the promoter regions of KCS7 and KCS15,indicating that CRC may directly regulate FA biosynthesis.

  15. Cross-study analysis of gene expression data for intermediate neuroblastoma identifies two biological subtypes

    Directory of Open Access Journals (Sweden)

    Eils Roland

    2007-05-01

    Full Text Available Abstract Background Neuroblastoma patients show heterogeneous clinical courses ranging from life-threatening progression to spontaneous regression. Recently, gene expression profiles of neuroblastoma tumours were associated with clinically different phenotypes. However, such data is still rare for important patient subgroups, such as patients with MYCN non-amplified advanced stage disease. Prediction of the individual course of disease and optimal therapy selection in this cohort is challenging. Additional research effort is needed to describe the patterns of gene expression in this cohort and to identify reliable prognostic markers for this subset of patients. Methods We combined gene expression data from two studies in a meta-analysis in order to investigate differences in gene expression of advanced stage (3 or 4 tumours without MYCN amplification that show contrasting outcomes (alive or dead at five years after initial diagnosis. In addition, a predictive model for outcome was generated. Gene expression profiles from 66 patients were included from two studies using different microarray platforms. Results In the combined data set, 72 genes were identified as differentially expressed by meta-analysis at a false discovery rate (FDR of 8.33%. Meta-analysis detected 34 differentially expressed genes that were not found as significant in either single study. Outcome prediction based on data of both studies resulted in a predictive accuracy of 77%. Moreover, the genes that were differentially expressed in subgroups of advanced stage patients without MYCN amplification accurately separated MYCN amplified tumours from low stage tumours without MYCN amplification. Conclusion Our findings support the hypothesis that neuroblastoma consists of two biologically distinct subgroups that differ by characteristic gene expression patterns, which are associated with divergent clinical outcome.

  16. Cross-study analysis of gene expression data for intermediate neuroblastoma identifies two biological subtypes

    International Nuclear Information System (INIS)

    Neuroblastoma patients show heterogeneous clinical courses ranging from life-threatening progression to spontaneous regression. Recently, gene expression profiles of neuroblastoma tumours were associated with clinically different phenotypes. However, such data is still rare for important patient subgroups, such as patients with MYCN non-amplified advanced stage disease. Prediction of the individual course of disease and optimal therapy selection in this cohort is challenging. Additional research effort is needed to describe the patterns of gene expression in this cohort and to identify reliable prognostic markers for this subset of patients. We combined gene expression data from two studies in a meta-analysis in order to investigate differences in gene expression of advanced stage (3 or 4) tumours without MYCN amplification that show contrasting outcomes (alive or dead) at five years after initial diagnosis. In addition, a predictive model for outcome was generated. Gene expression profiles from 66 patients were included from two studies using different microarray platforms. In the combined data set, 72 genes were identified as differentially expressed by meta-analysis at a false discovery rate (FDR) of 8.33%. Meta-analysis detected 34 differentially expressed genes that were not found as significant in either single study. Outcome prediction based on data of both studies resulted in a predictive accuracy of 77%. Moreover, the genes that were differentially expressed in subgroups of advanced stage patients without MYCN amplification accurately separated MYCN amplified tumours from low stage tumours without MYCN amplification. Our findings support the hypothesis that neuroblastoma consists of two biologically distinct subgroups that differ by characteristic gene expression patterns, which are associated with divergent clinical outcome

  17. Identifying sleep apnea syndrome using heart rate and breathing effort variation analysis based on ballistocardiography.

    Science.gov (United States)

    Weichao Zhao; Hongbo Ni; Xingshe Zhou; Yalong Song; Tianben Wang

    2015-08-01

    Sleep apnea syndrome (SAS) is regarded as one of the most common sleep-related breathing disorders, which can severely affect sleep quality. Since SAS is usually accompanied with the cyclical heart rate variation (HRV), many studies have been conducted on heart rate (HR) to identify it at an earlier stage. While most related work mainly based on clinical devices or signals (e.g., polysomnography (PSG), electrocardiography (ECG)), in this paper we focus on the ballistocardiographic (BCG) signal which is obtained in a non-invasive way. Moreover, as the precision and reliability of BCG signal are not so good as PSG or ECG, we propose a fine-grained feature extraction and analysis approach in SAS recognition. Our analysis takes both the basic HRV features and the breathing effort variation into consideration during different sleep stages rather than the whole night. The breathing effort refers to the mechanical interaction between respiration and BCG signal when SAS events occur, which is independent from autonomous nervous system (ANS) modulations. Specifically, a novel method named STC-Min is presented to extract the breathing effort variation feature. The basic HRV features depict the ANS modulations on HR and Sample Entropy and Detrended Fluctuation Analysis are applied for the evaluations. All the extracted features along with personal factors are fed into the knowledge-based support vector machine (KSVM) classification model, and the prior knowledge is based on dataset distribution and domain knowledge. Experimental results on 42 subjects in 3 nights validate the effectiveness of the methods and features in identifying SAS (90.46% precision rate and 88.89% recall rate). PMID:26737303

  18. Identifying and characterising regulatory metabolites with generalised supply-demand analysis.

    Science.gov (United States)

    Rohwer, Johann M; Hofmeyr, Jan-Hendrik S

    2008-06-01

    We present the framework of generalised supply-demand analysis (SDA) of a kinetic model of a cellular system, which can be applied to networks of arbitrary complexity. By fixing the concentrations of each of the variable species in turn and varying them in a parameter scan, rate characteristics of supply-demand are constructed around each of these species. By inspecting the shapes of the rate characteristic patterns and comparing the flux-response coefficients of the supply and demand blocks with the elasticities of the enzymes that interact directly with the fixed metabolite, regulatory metabolites in the system can be identified and characterised. The analysis provides information on whether and where the system is functionally differentiated and which of its species are homeostatically buffered. The novelty in our proposed method lies in the fact that all metabolites are considered for SDA (hence the term "generalised"), which removes investigator bias. It supplies an entry point for the further analysis and detailed characterisation of large models of cellular systems, in which the choice of metabolite around which to perform a SDA is not always obvious. PMID:18068730

  19. The application of factor analysis to identify sources in Klang valley aerosol

    International Nuclear Information System (INIS)

    Chemical composition of fine (PM2.5) aerosol samples collected for the 5 years period (2001-2005) using Gent Stacked filter unit sampler at Klang Valley (30 10 30 N, 1010 43 24 E) were analysed using Neutron Activation Analysis (NAA) and Proton Induced X-ray Emission (PIXE). Results of the study show that the major component of the fine aerosol was black carbon and sulfur with mass concentration range from 4.4 - 6.7 μg m -3, respectively. The total fine aerosol mass concentration were in the ranged of 25 - 31 μg m-3 with the reconstructed mass was about 50 % as relative to the gravimetric mass. Statistical method, factor analysis with varimax approach has been applied to the aerosol composition data for the fingerprint identification. The analysis produces five identified fingerprint represent soil, industry, motor vehicles/ biomass burning and Pb and Zn sources. There is also an unidentified source that could be related to unknown industrial activities. (author)

  20. Genome-wide analysis of over 106 000 individuals identifies 9 neuroticism-associated loci.

    Science.gov (United States)

    Smith, D J; Escott-Price, V; Davies, G; Bailey, M E S; Colodro-Conde, L; Ward, J; Vedernikov, A; Marioni, R; Cullen, B; Lyall, D; Hagenaars, S P; Liewald, D C M; Luciano, M; Gale, C R; Ritchie, S J; Hayward, C; Nicholl, B; Bulik-Sullivan, B; Adams, M; Couvy-Duchesne, B; Graham, N; Mackay, D; Evans, J; Smith, B H; Porteous, D J; Medland, S E; Martin, N G; Holmans, P; McIntosh, A M; Pell, J P; Deary, I J; O'Donovan, M C

    2016-06-01

    Neuroticism is a personality trait of fundamental importance for psychological well-being and public health. It is strongly associated with major depressive disorder (MDD) and several other psychiatric conditions. Although neuroticism is heritable, attempts to identify the alleles involved in previous studies have been limited by relatively small sample sizes. Here we report a combined meta-analysis of genome-wide association study (GWAS) of neuroticism that includes 91 370 participants from the UK Biobank cohort, 6659 participants from the Generation Scotland: Scottish Family Health Study (GS:SFHS) and 8687 participants from a QIMR (Queensland Institute of Medical Research) Berghofer Medical Research Institute (QIMR) cohort. All participants were assessed using the same neuroticism instrument, the Eysenck Personality Questionnaire-Revised (EPQ-R-S) Short Form's Neuroticism scale. We found a single-nucleotide polymorphism-based heritability estimate for neuroticism of ∼15% (s.e.=0.7%). Meta-analysis identified nine novel loci associated with neuroticism. The strongest evidence for association was at a locus on chromosome 8 (P=1.5 × 10(-15)) spanning 4 Mb and containing at least 36 genes. Other associated loci included interesting candidate genes on chromosome 1 (GRIK3 (glutamate receptor ionotropic kainate 3)), chromosome 4 (KLHL2 (Kelch-like protein 2)), chromosome 17 (CRHR1 (corticotropin-releasing hormone receptor 1) and MAPT (microtubule-associated protein Tau)) and on chromosome 18 (CELF4 (CUGBP elav-like family member 4)). We found no evidence for genetic differences in the common allelic architecture of neuroticism by sex. By comparing our findings with those of the Psychiatric Genetics Consortia, we identified a strong genetic correlation between neuroticism and MDD and a less strong but significant genetic correlation with schizophrenia, although not with bipolar disorder. Polygenic risk scores derived from the primary UK Biobank sample captured

  1. Identifying typical patterns of vulnerability: A 5-step approach based on cluster analysis

    Science.gov (United States)

    Sietz, Diana; Lüdeke, Matthias; Kok, Marcel; Lucas, Paul; Carsten, Walther; Janssen, Peter

    2013-04-01

    Specific processes that shape the vulnerability of socio-ecological systems to climate, market and other stresses derive from diverse background conditions. Within the multitude of vulnerability-creating mechanisms, distinct processes recur in various regions inspiring research on typical patterns of vulnerability. The vulnerability patterns display typical combinations of the natural and socio-economic properties that shape a systems' vulnerability to particular stresses. Based on the identification of a limited number of vulnerability patterns, pattern analysis provides an efficient approach to improving our understanding of vulnerability and decision-making for vulnerability reduction. However, current pattern analyses often miss explicit descriptions of their methods and pay insufficient attention to the validity of their groupings. Therefore, the question arises as to how do we identify typical vulnerability patterns in order to enhance our understanding of a systems' vulnerability to stresses? A cluster-based pattern recognition applied at global and local levels is scrutinised with a focus on an applicable methodology and practicable insights. Taking the example of drylands, this presentation demonstrates the conditions necessary to identify typical vulnerability patterns. They are summarised in five methodological steps comprising the elicitation of relevant cause-effect hypotheses and the quantitative indication of mechanisms as well as an evaluation of robustness, a validation and a ranking of the identified patterns. Reflecting scale-dependent opportunities, a global study is able to support decision-making with insights into the up-scaling of interventions when available funds are limited. In contrast, local investigations encourage an outcome-based validation. This constitutes a crucial step in establishing the credibility of the patterns and hence their suitability for informing extension services and individual decisions. In this respect, working at

  2. VIBRATION ANALYSIS ON A COMPOSITE BEAM TO IDENTIFY DAMAGE AND DAMAGE SEVERITY USING FINITE ELEMENT METHOD

    Directory of Open Access Journals (Sweden)

    E.V.V.Ramanamurthy

    2011-07-01

    Full Text Available The objective of this paper is to develop a damage detection method in a composite cantilever beam with an edge crack has been studied using finite element method. A number of analytical, numerical andexperimental techniques are available for the study of damage identification in beams. Studies were carried out for three different types of analysis on a composite cantilever beam with an edge crack as damage. The material used in this analysis is glass-epoxy composite material. The finite element formulation was carried out in the analysis section of the package, known as ANSYS. The types of vibration analysis studied on a composite beam are Modal, Harmonic andTransient analysis. The crack is modeled such that the cantilever beam is replaced with two intact beams with the crack as additional boundary condition. Damage algorithms are used to identify and locate the damage. Damage index method is also used to find the severity of the damage. The results obtained from modal analysis were compared with the transient analysis results.The vibration-based damage detection methods are based on the fact that changes of physical properties (stiffness, mass and damping due to damage will manifest themselves as changes in the structural modal parameters (natural frequencies, mode shapes and modal damping. The task is then to monitor the selected indicators derived from modal parameters to distinguish between undamaged and damaged states. However, the quantitative changes of global modal parameters are not sufficiently sensitive to a local damage. The proposed approach, on the other hand, interprets the dynamic changes caused by damage in a different way. Although the basis for vibration-based damage detection appears intuitive, the implementation in real structures may encounter many significant challenges. The most fundamental issue is the fact that damage typically is a local phenomenon and may not dramatically influence the global dynamic response of a

  3. Automated local bright feature image analysis of nuclear protein distribution identifies changes in tissue phenotype

    International Nuclear Information System (INIS)

    The organization of nuclear proteins is linked to cell and tissue phenotypes. When cells arrest proliferation, undergo apoptosis, or differentiate, the distribution of nuclear proteins changes. Conversely, forced alteration of the distribution of nuclear proteins modifies cell phenotype. Immunostaining and fluorescence microscopy have been critical for such findings. However, there is an increasing need for quantitative analysis of nuclear protein distribution to decipher epigenetic relationships between nuclear structure and cell phenotype, and to unravel the mechanisms linking nuclear structure and function. We have developed imaging methods to quantify the distribution of fluorescently-stained nuclear protein NuMA in different mammary phenotypes obtained using three-dimensional cell culture. Automated image segmentation of DAPI-stained nuclei was generated to isolate thousands of nuclei from three-dimensional confocal images. Prominent features of fluorescently-stained NuMA were detected using a novel local bright feature analysis technique, and their normalized spatial density calculated as a function of the distance from the nuclear perimeter to its center. The results revealed marked changes in the distribution of the density of NuMA bright features as non-neoplastic cells underwent phenotypically normal acinar morphogenesis. In contrast, we did not detect any reorganization of NuMA during the formation of tumor nodules by malignant cells. Importantly, the analysis also discriminated proliferating non-neoplastic cells from proliferating malignant cells, suggesting that these imaging methods are capable of identifying alterations linked not only to the proliferation status but also to the malignant character of cells. We believe that this quantitative analysis will have additional applications for classifying normal and pathological tissues

  4. Pathway Analysis Incorporating Protein-Protein Interaction Networks Identified Candidate Pathways for the Seven Common Diseases.

    Science.gov (United States)

    Lin, Peng-Lin; Yu, Ya-Wen; Chung, Ren-Hua

    2016-01-01

    Pathway analysis has become popular as a secondary analysis strategy for genome-wide association studies (GWAS). Most of the current pathway analysis methods aggregate signals from the main effects of single nucleotide polymorphisms (SNPs) in genes within a pathway without considering the effects of gene-gene interactions. However, gene-gene interactions can also have critical effects on complex diseases. Protein-protein interaction (PPI) networks have been used to define gene pairs for the gene-gene interaction tests. Incorporating the PPI information to define gene pairs for interaction tests within pathways can increase the power for pathway-based association tests. We propose a pathway association test, which aggregates the interaction signals in PPI networks within a pathway, for GWAS with case-control samples. Gene size is properly considered in the test so that genes do not contribute more to the test statistic simply due to their size. Simulation studies were performed to verify that the method is a valid test and can have more power than other pathway association tests in the presence of gene-gene interactions within a pathway under different scenarios. We applied the test to the Wellcome Trust Case Control Consortium GWAS datasets for seven common diseases. The most significant pathway is the chaperones modulate interferon signaling pathway for Crohn's disease (p-value = 0.0003). The pathway modulates interferon gamma, which induces the JAK/STAT pathway that is involved in Crohn's disease. Several other pathways that have functional implications for the seven diseases were also identified. The proposed test based on gene-gene interaction signals in PPI networks can be used as a complementary tool to the current existing pathway analysis methods focusing on main effects of genes. An efficient software implementing the method is freely available at http://puppi.sourceforge.net. PMID:27622767

  5. Automated local bright feature image analysis of nuclear proteindistribution identifies changes in tissue phenotype

    Energy Technology Data Exchange (ETDEWEB)

    Knowles, David; Sudar, Damir; Bator, Carol; Bissell, Mina

    2006-02-01

    The organization of nuclear proteins is linked to cell and tissue phenotypes. When cells arrest proliferation, undergo apoptosis, or differentiate, the distribution of nuclear proteins changes. Conversely, forced alteration of the distribution of nuclear proteins modifies cell phenotype. Immunostaining and fluorescence microscopy have been critical for such findings. However, there is an increasing need for quantitative analysis of nuclear protein distribution to decipher epigenetic relationships between nuclear structure and cell phenotype, and to unravel the mechanisms linking nuclear structure and function. We have developed imaging methods to quantify the distribution of fluorescently-stained nuclear protein NuMA in different mammary phenotypes obtained using three-dimensional cell culture. Automated image segmentation of DAPI-stained nuclei was generated to isolate thousands of nuclei from three-dimensional confocal images. Prominent features of fluorescently-stained NuMA were detected using a novel local bright feature analysis technique, and their normalized spatial density calculated as a function of the distance from the nuclear perimeter to its center. The results revealed marked changes in the distribution of the density of NuMA bright features as non-neoplastic cells underwent phenotypically normal acinar morphogenesis. In contrast, we did not detect any reorganization of NuMA during the formation of tumor nodules by malignant cells. Importantly, the analysis also discriminated proliferating non-neoplastic cells from proliferating malignant cells, suggesting that these imaging methods are capable of identifying alterations linked not only to the proliferation status but also to the malignant character of cells. We believe that this quantitative analysis will have additional applications for classifying normal and pathological tissues.

  6. Identifying time measurement tampering in the traversal time and hop count analysis (TTHCA) wormhole detection algorithm.

    Science.gov (United States)

    Karlsson, Jonny; Dooley, Laurence S; Pulkkis, Göran

    2013-01-01

    Traversal time and hop count analysis (TTHCA) is a recent wormhole detection algorithm for mobile ad hoc networks (MANET) which provides enhanced detection performance against all wormhole attack variants and network types. TTHCA involves each node measuring the processing time of routing packets during the route discovery process and then delivering the measurements to the source node. In a participation mode (PM) wormhole where malicious nodes appear in the routing tables as legitimate nodes, the time measurements can potentially be altered so preventing TTHCA from successfully detecting the wormhole. This paper analyses the prevailing conditions for time tampering attacks to succeed for PM wormholes, before introducing an extension to the TTHCA detection algorithm called ∆T Vector which is designed to identify time tampering, while preserving low false positive rates. Simulation results confirm that the ∆T Vector extension is able to effectively detect time tampering attacks, thereby providing an important security enhancement to the TTHCA algorithm. PMID:23686143

  7. Differentially expressed genes in pancreatic ductal adenocarcinomas identified through serial analysis of gene expression

    DEFF Research Database (Denmark)

    Hustinx, Steven R; Cao, Dengfeng; Maitra, Anirban;

    2004-01-01

    Serial analysis of gene expression (SAGE) is a powerful tool for the discovery of novel tumor markers. The publicly available online SAGE libraries of normal and neoplastic tissues (http://www.ncbi.nlm.nih.gov/SAGE/) have recently been expanded; in addition, a more complete annotation of the human...... genome and better biocomputational techniques have substantially improved the assignment of differentially expressed SAGE "tags" to human genes. These improvements have provided us with an opportunity to re-evaluate global gene expression in pancreatic cancer using existing SAGE libraries. SAGE libraries...... generated from six pancreatic cancers were compared to SAGE libraries generated from 11 non-neoplastic tissues. Compared to normal tissue libraries, we identified 453 SAGE tags as differentially expressed in pancreatic cancer, including 395 that mapped to known genes and 58 "uncharacterized" tags. Of the...

  8. Identifying and Analysis of Scene Mining Methods Beased on Scenes Extracted Features

    CERN Document Server

    Jabari, Ashraf Sadat

    2012-01-01

    Scene mining is a subset of image mining in which scenes are classified to a distinct set of classes based on analysis of their content. In other word in scene mining, a label is given to visual content of scene, for example, mountain, beach. Scene mining is used in applications such as medicine, movie, information retrieval, computer vision, recognition of traffic scene. Reviewing of represented methods shows there are various methods in scene mining. Scene mining applications extension and existence of various scenes, make comparison of methods hard. Scene mining can be followed by identifying scene mining components and representing a framework to analyzing and evaluating methods. In this paper, at first, components of scene mining are introduced, then a framework based on extracted features of scene is represented to classify scene mining methods. Finally, these methods are analyzed and evaluated via a proposal framework.

  9. Confocal Raman data analysis enables identifying apoptosis of MCF-7 cells caused by anticancer drug paclitaxel

    Science.gov (United States)

    Salehi, Hamideh; Middendorp, Elodie; Panayotov, Ivan; Dutilleul, Pierre-Yves Collard; Vegh, Attila-Gergely; Ramakrishnan, Sathish; Gergely, Csilla; Cuisinier, Frederic

    2013-05-01

    Confocal Raman microscopy is a noninvasive, label-free imaging technique used to study apoptosis of live MCF-7 cells. The images are based on Raman spectra of cells components, and their apoptosis is monitored through diffusion of cytochrome c in cytoplasm. K-mean clustering is used to identify mitochondria in cells, and correlation analysis provides the cytochrome c distribution inside the cells. Our results demonstrate that incubation of cells for 3 h with 10 μM of paclitaxel does not induce apoptosis in MCF-7 cells. On the contrary, incubation for 30 min at a higher concentration (100 μM) of paclitaxel induces gradual release of the cytochrome c into the cytoplasm, indicating cell apoptosis via a caspase independent pathway.

  10. Identifying patients with therapy-resistant depression by using factor analysis

    DEFF Research Database (Denmark)

    Andreasson, K; Liest, V; Lunde, M;

    2010-01-01

    INTRODUCTION: Attempts to identify the factor structure in patients with treatment-resistant depression have been very limited. METHODS: Principal component analysis was performed using the baseline datasets from 3 add-on studies [2 with repetitive transcranial magnetic stimulation and one with...... the negatively loaded items (covering the pure depression items) and a treatment resistant subscale comprising the positively loaded items (covering lassitude, concentration difficulties and sleep problems). These 2 dual subscales were used as outcome measures. Improvement on the treatment resistant...... subscale was 40% in the active treatment group compared to 17-30% improvement in the sham treatments. DISCUSSION: It is possible to describe patients with therapy-resistant depression by a factor structure. Both rTMS and T-PEMF had a clinical effect on the factor-derived scales when compared to sham...

  11. Identifying the potential loss of monitoring wells using an uncertainty analysis.

    Science.gov (United States)

    Freedman, Vicky L; Waichler, Scott R; Cole, Charles R; Vermeul, Vince R; Bergeron, Marcel P

    2005-01-01

    From the mid-1940s through the 1980s, large volumes of waste water were discharged at the Hanford Site in southeastern Washington State, causing a large-scale rise (>20 m) in the water table. When waste water discharges ceased in 1988, ground water mounds began to dissipate. This caused a large number of wells to go dry and has made it difficult to monitor contaminant plume migration. To identify monitoring wells that will need replacement, a methodology has been developed using a first-order uncertainty analysis with UCODE, a nonlinear parameter estimation code. Using a three-dimensional, finite-element ground water flow code, key parameters were identified by calibrating to historical hydraulic head data. Results from the calibration period were then used to check model predictions by comparing monitoring wells' wet/dry status with field data. This status was analyzed using a methodology that incorporated the 0.3 cumulative probability derived from the confidence and prediction intervals. For comparison, a nonphysically based trend model was also used as a predictor of wells' wet/dry status. Although the numerical model outperformed the trend model, for both models, the central value of the intervals was a better predictor of a wet well status. The prediction interval, however, was more successful at identifying dry wells. Predictions made through the year 2048 indicated that 46% of the wells in the monitoring well network are likely to go dry in areas near the river and where the ground water mound is dissipating. PMID:16324012

  12. Differential analysis of ovarian and endometrial cancers identifies a methylator phenotype.

    Directory of Open Access Journals (Sweden)

    Diana L Kolbe

    Full Text Available Despite improved outcomes in the past 30 years, less than half of all women diagnosed with epithelial ovarian cancer live five years beyond their diagnosis. Although typically treated as a single disease, epithelial ovarian cancer includes several distinct histological subtypes, such as papillary serous and endometrioid carcinomas. To address whether the morphological differences seen in these carcinomas represent distinct characteristics at the molecular level we analyzed DNA methylation patterns in 11 papillary serous tumors, 9 endometrioid ovarian tumors, 4 normal fallopian tube samples and 6 normal endometrial tissues, plus 8 normal fallopian tube and 4 serous samples from TCGA. For comparison within the endometrioid subtype we added 6 primary uterine endometrioid tumors and 5 endometrioid metastases from uterus to ovary. Data was obtained from 27,578 CpG dinucleotides occurring in or near promoter regions of 14,495 genes. We identified 36 locations with significant increases or decreases in methylation in comparisons of serous tumors and normal fallopian tube samples. Moreover, unsupervised clustering techniques applied to all samples showed three major profiles comprising mostly normal samples, serous tumors, and endometrioid tumors including ovarian, uterine and metastatic origins. The clustering analysis identified 60 differentially methylated sites between the serous group and the normal group. An unrelated set of 25 serous tumors validated the reproducibility of the methylation patterns. In contrast, >1,000 genes were differentially methylated between endometrioid tumors and normal samples. This finding is consistent with a generalized regulatory disruption caused by a methylator phenotype. Through DNA methylation analyses we have identified genes with known roles in ovarian carcinoma etiology, whereas pathway analyses provided biological insight to the role of novel genes. Our finding of differences between serous and endometrioid

  13. Analysis of genomic aberrations and gene expression profiling identifies novel lesions and pathways in myeloproliferative neoplasms

    International Nuclear Information System (INIS)

    Polycythemia vera (PV), essential thrombocythemia and primary myelofibrosis, are myeloproliferative neoplasms (MPNs) with distinct clinical features and are associated with the JAK2V617F mutation. To identify genomic anomalies involved in the pathogenesis of these disorders, we profiled 87 MPN patients using Affymetrix 250K single-nucleotide polymorphism (SNP) arrays. Aberrations affecting chr9 were the most frequently observed and included 9pLOH (n=16), trisomy 9 (n=6) and amplifications of 9p13.3–23.3 (n=1), 9q33.1–34.13 (n=1) and 9q34.13 (n=6). Patients with trisomy 9 were associated with elevated JAK2V617F mutant allele burden, suggesting that gain of chr9 represents an alternative mechanism for increasing JAK2V617F dosage. Gene expression profiling of patients with and without chr9 abnormalities (+9, 9pLOH), identified genes potentially involved in disease pathogenesis including JAK2, STAT5B and MAPK14. We also observed recurrent gains of 1p36.31–36.33 (n=6), 17q21.2–q21.31 (n=5) and 17q25.1–25.3 (n=5) and deletions affecting 18p11.31–11.32 (n=8). Combined SNP and gene expression analysis identified aberrations affecting components of a non-canonical PRC2 complex (EZH1, SUZ12 and JARID2) and genes comprising a ‘HSC signature' (MLLT3, SMARCA2 and PBX1). We show that NFIB, which is amplified in 7/87 MPN patients and upregulated in PV CD34+ cells, protects cells from apoptosis induced by cytokine withdrawal

  14. Cofactor modification analysis: a computational framework to identify cofactor specificity engineering targets for strain improvement.

    Science.gov (United States)

    Lakshmanan, Meiyappan; Chung, Bevan Kai-Sheng; Liu, Chengcheng; Kim, Seon-Won; Lee, Dong-Yup

    2013-12-01

    Cofactors, such as NAD(H) and NADP(H), play important roles in energy transfer within the cells by providing the necessary redox carriers for a myriad of metabolic reactions, both anabolic and catabolic. Thus, it is crucial to establish the overall cellular redox balance for achieving the desired cellular physiology. Of several methods to manipulate the intracellular cofactor regeneration rates, altering the cofactor specificity of a particular enzyme is a promising one. However, the identification of relevant enzyme targets for such cofactor specificity engineering (CSE) is often very difficult and labor intensive. Therefore, it is necessary to develop more systematic approaches to find the cofactor engineering targets for strain improvement. Presented herein is a novel mathematical framework, cofactor modification analysis (CMA), developed based on the well-established constraints-based flux analysis, for the systematic identification of suitable CSE targets while exploring the global metabolic effects. The CMA algorithm was applied to E. coli using its genome-scale metabolic model, iJO1366, thereby identifying the growth-coupled cofactor engineering targets for overproducing four of its native products: acetate, formate, ethanol, and lactate, and three non-native products: 1-butanol, 1,4-butanediol, and 1,3-propanediol. Notably, among several target candidates for cofactor engineering, glyceraldehyde-3-phosphate dehydrogenase (GAPD) is the most promising enzyme; its cofactor modification enhanced both the desired product and biomass yields significantly. Finally, given the identified target, we further discussed potential mutational strategies for modifying cofactor specificity of GAPD in E. coli as suggested by in silico protein docking experiments. PMID:24372035

  15. Principal components analysis based methodology to identify differentially expressed genes in time-course microarray data

    Directory of Open Access Journals (Sweden)

    Srinivasan Rajagopalan

    2008-06-01

    Full Text Available Abstract Background Time-course microarray experiments are being increasingly used to characterize dynamic biological processes. In these experiments, the goal is to identify genes differentially expressed in time-course data, measured between different biological conditions. These differentially expressed genes can reveal the changes in biological process due to the change in condition which is essential to understand differences in dynamics. Results In this paper, we propose a novel method for finding differentially expressed genes in time-course data and across biological conditions (say C1 and C2. We model the expression at C1 using Principal Component Analysis and represent the expression profile of each gene as a linear combination of the dominant Principal Components (PCs. Then the expression data from C2 is projected on the developed PCA model and scores are extracted. The difference between the scores is evaluated using a hypothesis test to quantify the significance of differential expression. We evaluate the proposed method to understand differences in two case studies (1 the heat shock response of wild-type and HSF1 knockout mice, and (2 cell-cycle between wild-type and Fkh1/Fkh2 knockout Yeast strains. Conclusion In both cases, the proposed method identified biologically significant genes.

  16. Deep Proteome Analysis Identifies Age-Related Processes in C. elegans.

    Science.gov (United States)

    Narayan, Vikram; Ly, Tony; Pourkarimi, Ehsan; Murillo, Alejandro Brenes; Gartner, Anton; Lamond, Angus I; Kenyon, Cynthia

    2016-08-01

    Effective network analysis of protein data requires high-quality proteomic datasets. Here, we report a near doubling in coverage of the C. elegans adult proteome, identifying >11,000 proteins in total with ∼9,400 proteins reproducibly detected in three biological replicates. Using quantitative mass spectrometry, we identify proteins whose abundances vary with age, revealing a concerted downregulation of proteins involved in specific metabolic pathways and upregulation of cellular stress responses with advancing age. Among these are ∼30 peroxisomal proteins, including the PRX-5/PEX5 import protein. Functional experiments confirm that protein import into the peroxisome is compromised in vivo in old animals. We also studied the behavior of the set of age-variant proteins in chronologically age-matched, long-lived daf-2 insulin/IGF-1-pathway mutants. Unexpectedly, the levels of many of these age-variant proteins did not scale with extended lifespan. This indicates that, despite their youthful appearance and extended lifespans, not all aspects of aging are reset in these long-lived mutants. PMID:27453442

  17. Analysis of Pigeon (Columba Ovary Transcriptomes to Identify Genes Involved in Blue Light Regulation.

    Directory of Open Access Journals (Sweden)

    Ying Wang

    Full Text Available Monochromatic light is widely applied to promote poultry reproductive performance, yet little is currently known regarding the mechanism by which light wavelengths affect pigeon reproduction. Recently, high-throughput sequencing technologies have been used to provide genomic information for solving this problem. In this study, we employed Illumina Hiseq 2000 to identify differentially expressed genes in ovary tissue from pigeons under blue and white light conditions and de novo transcriptome assembly to construct a comprehensive sequence database containing information on the mechanisms of follicle development. A total of 157,774 unigenes (mean length: 790 bp were obtained by the Trinity program, and 35.83% of these unigenes were matched to genes in a non-redundant protein database. Gene description, gene ontology, and the clustering of orthologous group terms were performed to annotate the transcriptome assembly. Differentially expressed genes between blue and white light conditions included those related to oocyte maturation, hormone biosynthesis, and circadian rhythm. Furthermore, 17,574 SSRs and 533,887 potential SNPs were identified in this transcriptome assembly. This work is the first transcriptome analysis of the Columba ovary using Illumina technology, and the resulting transcriptome and differentially expressed gene data can facilitate further investigations into the molecular mechanism of the effect of blue light on follicle development and reproduction in pigeons and other bird species.

  18. Potential of infrared spectroscopy in combination with extended canonical variate analysis for identifying different paper types

    International Nuclear Information System (INIS)

    The increasing use of secondary fiber in papermaking has led to the production of paper containing a wide range of contaminants. Wastepaper mills need to develop quality control methods for evaluating the incoming wastepaper stock as well as testing the specifications of the final product. The goal of this work is to present a fast and successful methodology for identifying different paper types. In this way, undesirable paper types can be refused, thus improving the runnability of the paper machine and the quality of the paper manufactured. In this work we examine various types of paper using information obtained by an appropriate chemometric treatment of infrared spectral data. For this purpose, we studied a large number of paper sheets of three different types (namely coated, offset and cast-coated) supplied by several paper manufacturers. We recorded Fourier transform infrared (FTIR) spectra with the aid of an attenuated total reflectance (ATR) module and near-infrared (NIR) reflectance spectra by means of fiber optics. Both techniques proved expeditious and required no sample pretreatment. The primary objective of this work was to develop a methodology for the accurate identification of samples of different paper types. For this purpose, we used the chemometric discrimination technique extended canonical variate analysis (ECVA) in combination with the k nearest neighbor (kNN) method to classify samples in the prediction set. Use of the NIR and FTIR techniques under these conditions allowed paper types to be identified with 100% success in prediction samples

  19. Integrative omics analysis of rheumatoid arthritis identifies non-obvious therapeutic targets.

    Directory of Open Access Journals (Sweden)

    John W Whitaker

    Full Text Available Identifying novel therapeutic targets for the treatment of disease is challenging. To this end, we developed a genome-wide approach of candidate gene prioritization. We independently collocated sets of genes that were implicated in rheumatoid arthritis (RA pathogenicity through three genome-wide assays: (i genome-wide association studies (GWAS, (ii differentially expression in RA fibroblast-like synoviocytes (FLS, and (iii differentially methylation in RA FLS. Integrated analysis of these complementary data sets identified a significant enrichment of multi-evidence genes (MEGs within pathways relating to RA pathogenicity. One MEG is Engulfment and Cell Motility Protein-1 (ELMO1, a gene not previously considered as a therapeutic target in RA FLS. We demonstrated in RA FLS that ELMO1 is: (i expressed, (ii promotes cell migration and invasion, and (iii regulates Rac1 activity. Thus, we created links between ELMO1 and RA pathogenicity, which in turn validates ELMO1 as a potential RA therapeutic target. This study illustrated the power of MEG-based approaches for therapeutic target identification.

  20. Integrative omics analysis of rheumatoid arthritis identifies non-obvious therapeutic targets.

    Science.gov (United States)

    Whitaker, John W; Boyle, David L; Bartok, Beatrix; Ball, Scott T; Gay, Steffen; Wang, Wei; Firestein, Gary S

    2015-01-01

    Identifying novel therapeutic targets for the treatment of disease is challenging. To this end, we developed a genome-wide approach of candidate gene prioritization. We independently collocated sets of genes that were implicated in rheumatoid arthritis (RA) pathogenicity through three genome-wide assays: (i) genome-wide association studies (GWAS), (ii) differentially expression in RA fibroblast-like synoviocytes (FLS), and (iii) differentially methylation in RA FLS. Integrated analysis of these complementary data sets identified a significant enrichment of multi-evidence genes (MEGs) within pathways relating to RA pathogenicity. One MEG is Engulfment and Cell Motility Protein-1 (ELMO1), a gene not previously considered as a therapeutic target in RA FLS. We demonstrated in RA FLS that ELMO1 is: (i) expressed, (ii) promotes cell migration and invasion, and (iii) regulates Rac1 activity. Thus, we created links between ELMO1 and RA pathogenicity, which in turn validates ELMO1 as a potential RA therapeutic target. This study illustrated the power of MEG-based approaches for therapeutic target identification. PMID:25901943

  1. Perturbation-expression analysis identifies RUNX1 as a regulator of human mammary stem cell differentiation.

    Directory of Open Access Journals (Sweden)

    Ethan S Sokol

    2015-04-01

    Full Text Available The search for genes that regulate stem cell self-renewal and differentiation has been hindered by a paucity of markers that uniquely label stem cells and early progenitors. To circumvent this difficulty we have developed a method that identifies cell-state regulators without requiring any markers of differentiation, termed Perturbation-Expression Analysis of Cell States (PEACS. We have applied this marker-free approach to screen for transcription factors that regulate mammary stem cell differentiation in a 3D model of tissue morphogenesis and identified RUNX1 as a stem cell regulator. Inhibition of RUNX1 expanded bipotent stem cells and blocked their differentiation into ductal and lobular tissue rudiments. Reactivation of RUNX1 allowed exit from the bipotent state and subsequent differentiation and mammary morphogenesis. Collectively, our findings show that RUNX1 is required for mammary stem cells to exit a bipotent state, and provide a new method for discovering cell-state regulators when markers are not available.

  2. Comparative Transcriptome Analysis Identifies CCDC80 as a Novel Gene Associated with Pulmonary Arterial Hypertension

    Science.gov (United States)

    Sasagawa, Shota; Nishimura, Yuhei; Sawada, Hirofumi; Zhang, Erquan; Okabe, Shiko; Murakami, Soichiro; Ashikawa, Yoshifumi; Yuge, Mizuki; Kawaguchi, Koki; Kawase, Reiko; Mitani, Yoshihide; Maruyama, Kazuo; Tanaka, Toshio

    2016-01-01

    Pulmonary arterial hypertension (PAH) is a heterogeneous disorder associated with a progressive increase in pulmonary artery resistance and pressure. Although various therapies have been developed, the 5-year survival rate of PAH patients remains low. There is thus an important need to identify novel genes that are commonly dysregulated in PAH of various etiologies and could be used as biomarkers and/or therapeutic targets. In this study, we performed comparative transcriptome analysis of five mammalian PAH datasets downloaded from a public database. We identified 228 differentially expressed genes (DEGs) from a rat PAH model caused by inhibition of vascular endothelial growth factor receptor under hypoxic conditions, 379 DEGs from a mouse PAH model associated with systemic sclerosis, 850 DEGs from a mouse PAH model associated with schistosomiasis, 1598 DEGs from one cohort of human PAH patients, and 4260 DEGs from a second cohort of human PAH patients. Gene-by-gene comparison identified four genes that were differentially upregulated or downregulated in parallel in all five sets of DEGs. Expression of coiled-coil domain containing 80 (CCDC80) and anterior gradient two genes was significantly increased in the five datasets, whereas expression of SMAD family member six and granzyme A was significantly decreased. Weighted gene co-expression network analysis revealed a connection between CCDC80 and collagen type I alpha 1 (COL1A1) expression. To validate the function of CCDC80 in vivo, we knocked out ccdc80 in zebrafish using the clustered regularly interspaced short palindromic repeats (CRISPR)/Cas9 system. In vivo imaging of zebrafish expressing a fluorescent protein in endothelial cells showed that ccdc80 deletion significantly increased the diameter of the ventral artery, a vessel supplying blood to the gills. We also demonstrated that expression of col1a1 and endothelin-1 mRNA was significantly decreased in the ccdc80-knockout zebrafish. Finally, we examined Ccdc

  3. Identifying patterns in treatment response profiles in acute bipolar mania: a cluster analysis approach

    Directory of Open Access Journals (Sweden)

    Houston John P

    2008-07-01

    Full Text Available Abstract Background Patients with acute mania respond differentially to treatment and, in many cases, fail to obtain or sustain symptom remission. The objective of this exploratory analysis was to characterize response in bipolar disorder by identifying groups of patients with similar manic symptom response profiles. Methods Patients (n = 222 were selected from a randomized, double-blind study of treatment with olanzapine or divalproex in bipolar I disorder, manic or mixed episode, with or without psychotic features. Hierarchical clustering based on Ward's distance was used to identify groups of patients based on Young-Mania Rating Scale (YMRS total scores at each of 5 assessments over 7 weeks. Logistic regression was used to identify baseline predictors for clusters of interest. Results Four distinct clusters of patients were identified: Cluster 1 (n = 64: patients did not maintain a response (YMRS total scores ≤ 12; Cluster 2 (n = 92: patients responded rapidly (within less than a week and response was maintained; Cluster 3 (n = 36: patients responded rapidly but relapsed soon afterwards (YMRS ≥ 15; Cluster 4 (n = 30: patients responded slowly (≥ 2 weeks and response was maintained. Predictive models using baseline variables found YMRS Item 10 (Appearance, and psychosis to be significant predictors for Clusters 1 and 4 vs. Clusters 2 and 3, but none of the baseline characteristics allowed discriminating between Clusters 1 vs. 4. Experiencing a mixed episode at baseline predicted membership in Clusters 2 and 3 vs. Clusters 1 and 4. Treatment with divalproex, larger number of previous manic episodes, lack of disruptive-aggressive behavior, and more prominent depressive symptoms at baseline were predictors for Cluster 3 vs. 2. Conclusion Distinct treatment response profiles can be predicted by clinical features at baseline. The presence of these features as potential risk factors for relapse in patients who have responded to treatment

  4. Practical implementation of the corrected force analysis technique to identify the structural parameter and load distributions

    Science.gov (United States)

    Leclère, Quentin; Ablitzer, Frédéric; Pézerat, Charles

    2015-09-01

    The paper aims to combine two objectives of the Force Analysis Technique (FAT): vibration source identification and material characterization from the same set of measurement. Initially, the FAT was developed for external load location and identification. It consists in injecting measured vibration displacements in the discretized equation of motion. Two developments exist: FAT and CFAT (Corrected Force Analysis Technique) where two finite difference schemes are used. Recently, the FAT was adapted for the identification of elastic and damping properties in a structure. The principal interests are that the identification is local and allows mapping of material characteristics, the identification can be made at all frequencies, especially in medium and high frequency domains. The paper recalls the development of FAT and CFAT on beams and plates and how it can be possible to extract material characteristics in areas where no external loads are applied. Experimental validations are shown on an aluminum plate with arbitrary boundary conditions, excited by a point force and where a piece of foam is glued on a sub-surface of the plate. Contactless measurements were made using a scanning laser vibrometer. The results of FAT and CFAT are compared and discussed for material property identifications in the regions with and without foam. The excitation force identification is finally made by using the identified material properties. CFAT gives excellent results comparable to a direct measurement obtained by a piezoelectric sensor. The relevance of the corrected scheme is then underlined for both source identification and material characterization from the same measurements.

  5. Five endometrial cancer risk loci identified through genome-wide association analysis.

    Science.gov (United States)

    Cheng, Timothy H T; Thompson, Deborah J; O'Mara, Tracy A; Painter, Jodie N; Glubb, Dylan M; Flach, Susanne; Lewis, Annabelle; French, Juliet D; Freeman-Mills, Luke; Church, David; Gorman, Maggie; Martin, Lynn; Hodgson, Shirley; Webb, Penelope M; Attia, John; Holliday, Elizabeth G; McEvoy, Mark; Scott, Rodney J; Henders, Anjali K; Martin, Nicholas G; Montgomery, Grant W; Nyholt, Dale R; Ahmed, Shahana; Healey, Catherine S; Shah, Mitul; Dennis, Joe; Fasching, Peter A; Beckmann, Matthias W; Hein, Alexander; Ekici, Arif B; Hall, Per; Czene, Kamila; Darabi, Hatef; Li, Jingmei; Dörk, Thilo; Dürst, Matthias; Hillemanns, Peter; Runnebaum, Ingo; Amant, Frederic; Schrauwen, Stefanie; Zhao, Hui; Lambrechts, Diether; Depreeuw, Jeroen; Dowdy, Sean C; Goode, Ellen L; Fridley, Brooke L; Winham, Stacey J; Njølstad, Tormund S; Salvesen, Helga B; Trovik, Jone; Werner, Henrica M J; Ashton, Katie; Otton, Geoffrey; Proietto, Tony; Liu, Tao; Mints, Miriam; Tham, Emma; Li, Mulin Jun; Yip, Shun H; Wang, Junwen; Bolla, Manjeet K; Michailidou, Kyriaki; Wang, Qin; Tyrer, Jonathan P; Dunlop, Malcolm; Houlston, Richard; Palles, Claire; Hopper, John L; Peto, Julian; Swerdlow, Anthony J; Burwinkel, Barbara; Brenner, Hermann; Meindl, Alfons; Brauch, Hiltrud; Lindblom, Annika; Chang-Claude, Jenny; Couch, Fergus J; Giles, Graham G; Kristensen, Vessela N; Cox, Angela; Cunningham, Julie M; Pharoah, Paul D P; Dunning, Alison M; Edwards, Stacey L; Easton, Douglas F; Tomlinson, Ian; Spurdle, Amanda B

    2016-06-01

    We conducted a meta-analysis of three endometrial cancer genome-wide association studies (GWAS) and two follow-up phases totaling 7,737 endometrial cancer cases and 37,144 controls of European ancestry. Genome-wide imputation and meta-analysis identified five new risk loci of genome-wide significance at likely regulatory regions on chromosomes 13q22.1 (rs11841589, near KLF5), 6q22.31 (rs13328298, in LOC643623 and near HEY2 and NCOA7), 8q24.21 (rs4733613, telomeric to MYC), 15q15.1 (rs937213, in EIF2AK4, near BMF) and 14q32.33 (rs2498796, in AKT1, near SIVA1). We also found a second independent 8q24.21 signal (rs17232730). Functional studies of the 13q22.1 locus showed that rs9600103 (pairwise r(2) = 0.98 with rs11841589) is located in a region of active chromatin that interacts with the KLF5 promoter region. The rs9600103[T] allele that is protective in endometrial cancer suppressed gene expression in vitro, suggesting that regulation of the expression of KLF5, a gene linked to uterine development, is implicated in tumorigenesis. These findings provide enhanced insight into the genetic and biological basis of endometrial cancer. PMID:27135401

  6. Dietary separation of sympatric carnivores identified by molecular analysis of scats.

    Science.gov (United States)

    Farrell, L E; Roman, J; Sunquist, M E

    2000-10-01

    We studied the diets of four sympatric carnivores in the flooding savannas of western Venezuela by analysing predator DNA and prey remains in faeces. DNA was isolated and a portion of the cytochrome b gene of the mitochondrial genome amplified and sequenced from 20 of 34 scats. Species were diagnosed by comparing the resulting sequences to reference sequences generated from the blood of puma (Puma concolor), jaguar (Panthera onca), ocelot (Leopardus pardalus) and crab-eating fox (Cerdocyon thous). Scat size has previously been used to identify predators, but DNA data show that puma and jaguar scats overlap in size, as do those of puma, ocelot and fox. Prey-content analysis suggests minimal prey partitioning between pumas and jaguars. In field testing this technique for large carnivores, two potential limitations emerged: locating intact faecal samples and recovering DNA sequences from samples obtained in the wet season. Nonetheless, this study illustrates the tremendous potential of DNA faecal studies. The presence of domestic dog (Canis familiaris) in one puma scat and of wild pig (Sus scrofa), set as bait, in one jaguar sample exemplifies the forensic possibilities of this noninvasive analysis. In addition to defining the dietary habits of similar size sympatric mammals, DNA identifications from faeces allow wildlife managers to detect the presence of endangered taxa and manage prey for their conservation. PMID:11050553

  7. Transcriptome analysis of Solanum melongena L. (eggplant) fruit to identify putative allergens and their epitopes.

    Science.gov (United States)

    Ramesh, Kumar Ramagoni; Hemalatha, R; Vijayendra, Chary Anchoju; Arshi, Uz Zaman Syed; Dushyant, Singh Baghel; Dinesh, Kumar Bharadwaj

    2016-01-15

    Eggplant is the third most important Solanaceae crop after tomato and potato, particularly in India and China. A transcriptome analysis of eggplant's fruit was performed to study genes involved in medicinal importance and allergies. Illumina HiSeq 2000 system generated 89,763,638 raw reads (~18 Gb) from eggplant. High quality reads (59,039,694) obtained after trimming process, were assembled into a total of 149,224 non redundant set of transcripts. Out of 80,482 annotated sequences of eggplant fruit (BLASTx results against nr-green plant database), 40,752 transcripts showed significant similarity with predicted proteins of Solanum tuberosum (51%) followed by Solanum lycopersicum (34%) and other sequenced plant genomes. With BLASTx top hit analysis against existing allergens, a total of 1986 homologous allergen sequences were found, which had >37% similarity with 48 different allergens existing in the database. From the 48 putative allergens, 526 B-cell linear epitopes were identified using BepiPred linear epitope prediction tool. Transcript sequences generated from this study can be used to map epitopes of monoclonal antibodies and polyclonal sera from patients. With the support of this whole transcriptome catalogue of eggplant fruit, complete list of genes can be predicted based on which secondary structures of proteins may be modeled. PMID:26424595

  8. Large-scale association analysis identifies 13 new susceptibility loci for coronary artery disease.

    Science.gov (United States)

    Schunkert, Heribert; König, Inke R; Kathiresan, Sekar; Reilly, Muredach P; Assimes, Themistocles L; Holm, Hilma; Preuss, Michael; Stewart, Alexandre F R; Barbalic, Maja; Gieger, Christian; Absher, Devin; Aherrahrou, Zouhair; Allayee, Hooman; Altshuler, David; Anand, Sonia S; Andersen, Karl; Anderson, Jeffrey L; Ardissino, Diego; Ball, Stephen G; Balmforth, Anthony J; Barnes, Timothy A; Becker, Diane M; Becker, Lewis C; Berger, Klaus; Bis, Joshua C; Boekholdt, S Matthijs; Boerwinkle, Eric; Braund, Peter S; Brown, Morris J; Burnett, Mary Susan; Buysschaert, Ian; Carlquist, John F; Chen, Li; Cichon, Sven; Codd, Veryan; Davies, Robert W; Dedoussis, George; Dehghan, Abbas; Demissie, Serkalem; Devaney, Joseph M; Diemert, Patrick; Do, Ron; Doering, Angela; Eifert, Sandra; Mokhtari, Nour Eddine El; Ellis, Stephen G; Elosua, Roberto; Engert, James C; Epstein, Stephen E; de Faire, Ulf; Fischer, Marcus; Folsom, Aaron R; Freyer, Jennifer; Gigante, Bruna; Girelli, Domenico; Gretarsdottir, Solveig; Gudnason, Vilmundur; Gulcher, Jeffrey R; Halperin, Eran; Hammond, Naomi; Hazen, Stanley L; Hofman, Albert; Horne, Benjamin D; Illig, Thomas; Iribarren, Carlos; Jones, Gregory T; Jukema, J Wouter; Kaiser, Michael A; Kaplan, Lee M; Kastelein, John J P; Khaw, Kay-Tee; Knowles, Joshua W; Kolovou, Genovefa; Kong, Augustine; Laaksonen, Reijo; Lambrechts, Diether; Leander, Karin; Lettre, Guillaume; Li, Mingyao; Lieb, Wolfgang; Loley, Christina; Lotery, Andrew J; Mannucci, Pier M; Maouche, Seraya; Martinelli, Nicola; McKeown, Pascal P; Meisinger, Christa; Meitinger, Thomas; Melander, Olle; Merlini, Pier Angelica; Mooser, Vincent; Morgan, Thomas; Mühleisen, Thomas W; Muhlestein, Joseph B; Münzel, Thomas; Musunuru, Kiran; Nahrstaedt, Janja; Nelson, Christopher P; Nöthen, Markus M; Olivieri, Oliviero; Patel, Riyaz S; Patterson, Chris C; Peters, Annette; Peyvandi, Flora; Qu, Liming; Quyyumi, Arshed A; Rader, Daniel J; Rallidis, Loukianos S; Rice, Catherine; Rosendaal, Frits R; Rubin, Diana; Salomaa, Veikko; Sampietro, M Lourdes; Sandhu, Manj S; Schadt, Eric; Schäfer, Arne; Schillert, Arne; Schreiber, Stefan; Schrezenmeir, Jürgen; Schwartz, Stephen M; Siscovick, David S; Sivananthan, Mohan; Sivapalaratnam, Suthesh; Smith, Albert; Smith, Tamara B; Snoep, Jaapjan D; Soranzo, Nicole; Spertus, John A; Stark, Klaus; Stirrups, Kathy; Stoll, Monika; Tang, W H Wilson; Tennstedt, Stephanie; Thorgeirsson, Gudmundur; Thorleifsson, Gudmar; Tomaszewski, Maciej; Uitterlinden, Andre G; van Rij, Andre M; Voight, Benjamin F; Wareham, Nick J; Wells, George A; Wichmann, H-Erich; Wild, Philipp S; Willenborg, Christina; Witteman, Jaqueline C M; Wright, Benjamin J; Ye, Shu; Zeller, Tanja; Ziegler, Andreas; Cambien, Francois; Goodall, Alison H; Cupples, L Adrienne; Quertermous, Thomas; März, Winfried; Hengstenberg, Christian; Blankenberg, Stefan; Ouwehand, Willem H; Hall, Alistair S; Deloukas, Panos; Thompson, John R; Stefansson, Kari; Roberts, Robert; Thorsteinsdottir, Unnur; O'Donnell, Christopher J; McPherson, Ruth; Erdmann, Jeanette; Samani, Nilesh J

    2011-04-01

    We performed a meta-analysis of 14 genome-wide association studies of coronary artery disease (CAD) comprising 22,233 individuals with CAD (cases) and 64,762 controls of European descent followed by genotyping of top association signals in 56,682 additional individuals. This analysis identified 13 loci newly associated with CAD at P < 5 × 10⁻⁸ and confirmed the association of 10 of 12 previously reported CAD loci. The 13 new loci showed risk allele frequencies ranging from 0.13 to 0.91 and were associated with a 6% to 17% increase in the risk of CAD per allele. Notably, only three of the new loci showed significant association with traditional CAD risk factors and the majority lie in gene regions not previously implicated in the pathogenesis of CAD. Finally, five of the new CAD risk loci appear to have pleiotropic effects, showing strong association with various other human diseases or traits. PMID:21378990

  9. Reproducibility and validity of dietary patterns identified using factor analysis among Chinese populations.

    Science.gov (United States)

    Hong, Xin; Ye, Qing; Wang, Zhiyong; Yang, Huafeng; Chen, Xupeng; Zhou, Hairong; Wang, Chenchen; Chu, Wenjie; Lai, Yichao; Sun, Liuyuan; Wang, Youfa; Xu, Fei

    2016-09-01

    In the present study, we evaluated the reproducibility and validity of dietary patterns among Chinese adult populations. A random subsample of 203 participants (aged 31-80 years) from a community-based nutrition and health survey was enrolled. An eighty-seven-item FFQ was administered twice (FFQ1 and FFQ2) 1 year apart; four 3 consecutive day, 24-h dietary recalls (24-HDR, as a reference method) were performed between the administrations of the two FFQ every 3 months. Dietary patterns from three separate dietary sources were derived using factor analysis based on twenty-eight predefined food groups. Comparisons between dietary pattern scores were made by using Pearson's or intraclass correlation coefficients (ICC), cross-classification analysis, weighted κ statistic and Bland-Altman plots; the four major dietary patterns identified from FFQ1, FFQ2 and 24-HDR were similar. Regarding reproducibility, ICC for z-scores between FFQ1 and FFQ2 were all >0·6 for dietary patterns. The 'animal and plant protein' pattern had the highest ICC of 0·870. For validity, the adjusted Pearson's correlation coefficients for dietary pattern z-scores between two FFQ and the mean of four 3 consecutive day 24-HDR ranged from 0·387 for the 'Chinese traditional' pattern to 0·838 for the 'animal and plant protein' pattern. More than 75 % of the participants were classified into the same or adjacent quartile, and <5 % were misclassified into opposite quartiles. The weighted κ ranged from 0·259 to 0·680. Bland-Altman plots indicated that no significant deviation was found between two dietary assessment methods. Our findings indicate a good reasonable reproducibility and a reasonable validity of dietary patterns derived by factor analysis in China. PMID:27405825

  10. Integrative Analysis of Genomics and Transcriptome Data to Identify Potential Functional Genes of BMDs in Females.

    Science.gov (United States)

    Chen, Yuan-Cheng; Guo, Yan-Fang; He, Hao; Lin, Xu; Wang, Xia-Fang; Zhou, Rou; Li, Wen-Ting; Pan, Dao-Yan; Shen, Jie; Deng, Hong-Wen

    2016-05-01

    Osteoporosis is known to be highly heritable. However, to date, the findings from more than 20 genome-wide association studies (GWASs) have explained less than 6% of genetic risks. Studies suggest that the missing heritability data may be because of joint effects among genes. To identify novel heritability for osteoporosis, we performed a system-level study on bone mineral density (BMD) by weighted gene coexpression network analysis (WGCNA), using the largest GWAS data set for BMD in the field, Genetic Factors for Osteoporosis Consortium (GEFOS-2), and a transcriptomic gene expression data set generated from transiliac bone biopsies in women. A weighted gene coexpression network was generated for 1574 genes with GWAS nominal evidence of association (p ≤ 0.05) based on dissimilarity measurement on the expression data. Twelve distinct gene modules were identified, and four modules showed nominally significant associations with BMD (p ≤ 0.05), but only one module, the yellow module, demonstrated a good correlation between module membership (MM) and gene significance (GS), suggesting that the yellow module serves an important biological role in bone regulation. Interestingly, through characterization of module content and topology, the yellow module was found to be significantly enriched with contractile fiber part (GO:044449), which is widely recognized as having a close relationship between muscle and bone. Furthermore, detailed submodule analyses of important candidate genes (HOMER1, SPTBN1) by all edges within the yellow module implied significant enrichment of functional connections between bone and cytoskeletal protein binding. Our study yielded novel information from system genetics analyses of GWAS data jointly with transcriptomic data. The findings highlighted a module and several genes in the model as playing important roles in the regulation of bone mass in females, which may yield novel insights into the genetic basis of osteoporosis. © 2016

  11. Beyond BLASTing: tertiary and quaternary structure analysis helps identify major vault proteins.

    Science.gov (United States)

    Daly, Toni K; Sutherland-Smith, Andrew J; Penny, David

    2013-01-01

    We examine the advantages of going beyond sequence similarity and use both protein three-dimensional (3D) structure prediction and then quaternary structure (docking) of inferred 3D structures to help evaluate whether comparable sequences can fold into homologous structures with sufficient lateral associations for quaternary structure formation. Our test case is the major vault protein (MVP) that oligomerizes in multiple copies to form barrel-like vault particles and is relatively widespread among eukaryotes. We used the iterative threading assembly refinement server (I-TASSER) to predict whether putative MVP sequences identified by BLASTp and PSI Basic Local Alignment Search Tool are structurally similar to the experimentally determined rodent MVP tertiary structures. Then two identical predicted quaternary structures from I-TASSER are analyzed by RosettaDock to test whether a pair-wise association occurs, and hence whether the oligomeric vault complex is likely to form for a given MVP sequence. Positive controls for the method are the experimentally determined rat (Rattus norvegicus) vault X-ray crystal structure and the purple sea urchin (Strongylocentrotus purpuratus) MVP sequence that forms experimentally observed vaults. These and two kinetoplast MVP structural homologs were predicted with high confidence value, and RosettaDock predicted that these MVP sequences would dock laterally and therefore could form oligomeric vaults. As the negative control, I-TASSER did not predict an MVP-like structure from a randomized rat MVP sequence, even when constrained to the rat MVP crystal structure (PDB:2ZUO), thus further validating the method. The protocol identified six putative homologous MVP sequences in the heterobolosean Naegleria gruberi within the excavate kingdom. Two of these sequences are predicted to be structurally similar to rat MVP, despite being in excess of 300 residues shorter. The method can be used generally to help test predictions of homology via

  12. Network analysis of translocated Takahe populations to identify disease surveillance targets.

    Science.gov (United States)

    Grange, Zoë L; VAN Andel, Mary; French, Nigel P; Gartrell, Brett D

    2014-04-01

    Social network analysis is being increasingly used in epidemiology and disease modeling in humans, domestic animals, and wildlife. We investigated this tool in describing a translocation network (area that allows movement of animals between geographically isolated locations) used for the conservation of an endangered flightless rail, the Takahe (Porphyrio hochstetteri). We collated records of Takahe translocations within New Zealand and used social network principles to describe the connectivity of the translocation network. That is, networks were constructed and analyzed using adjacency matrices with values based on the tie weights between nodes. Five annual network matrices were created using the Takahe data set, each incremental year included records of previous years. Weights of movements between connected locations were assigned by the number of Takahe moved. We calculated the number of nodes (i(total)) and the number of ties (t(total)) between the nodes. To quantify the small-world character of the networks, we compared the real networks to random graphs of the equivalent size, weighting, and node strength. Descriptive analysis of cumulative annual Takahe movement networks involved determination of node-level characteristics, including centrality descriptors of relevance to disease modeling such as weighted measures of in degree (k(i)(in)), out degree (k(i)(out)), and betweenness (B(i)). Key players were assigned according to the highest node measure of k(i)(in), k(i)(out), and B(i) per network. Networks increased in size throughout the time frame considered. The network had some degree small-world characteristics. Nodes with the highest cumulative tie weights connecting them were the captive breeding center, the Murchison Mountains and 2 offshore islands. The key player fluctuated between the captive breeding center and the Murchison Mountains. The cumulative networks identified the captive breeding center every year as the hub of the network until the final

  13. RCAUSE – A ROOT CAUSE ANALYSIS MODEL TO IDENTIFY THE ROOT CAUSES OF SOFTWARE REENGINEERING PROBLEMS

    Directory of Open Access Journals (Sweden)

    Er. Anand Rajavat

    2011-01-01

    Full Text Available Organizations that wish to modernize their legacy systems, must adopt a financial viable evolution strategy to gratify the needs of modern business environment. There are various options available to modernize legacy system in to more contemporary system. Over the last few years’ legacy system reengineering has emerged as a popular system modernization technique. The reengineering generally focuses on the increased productivity and quality of the system. However many of these efforts are often less than successful because they only concentrate on symptoms of software reengineering risk without targeting root causes of those risk. A subjective assessment (diagnosis of software reengineering risk from different domain of legacy system is required to identify the root causes of those risks. The goal of this paper is to highlight root causes of software reengineering risk. We proposed a root cause analysis model RCause that classify root causes of software reengineering risk in to three distinctive but connected areas of interest i.e. system domain, managerial domain and technical domain. .

  14. Differentially expressed genes identified by microarray analysis following leptin treatment of hepatic stellate cells

    Institute of Scientific and Technical Information of China (English)

    ZHONG Li-hua; CHENG Jun; ZHU Li-ying

    2010-01-01

    Background Liver fibrosis is the process through which numerous chronic liver diseases develop into liver cirrhosis. Leptin can activate hepatic stellate cells (HSCs) and play an important role in the formation of liver fibrosis. However, the process by which leptin activates HSCs is complicated, and research on this process is limited. The aim of this study was to explore the related changes in gene expression and the control mechanisms involved in leptin activated HSCs to understand the overall mechanism of liver fibrosis development. Methods We cultivate rat HSCs, with and without stimulation by leptin, and extracted mRNA. Differentially expressed genes were detected by microarray analysis. Results The differentially expressed genes identified included six upregulated genes and six downregulated genes. The representative upregulated genes included short chain dehydrogenase (CY5/CY3=2.265) and pulmonary surfactant protein A1 (CY5/CY3=2.036). The significant downregulated gene encoded hepatic stearoyl coenzyme A desaturase 1 (SCD-1) (CY5/CY3=0.351).Conclusion Leptin might mediate the molecular biological mechanisms of liver fibrosis.

  15. Patent analysis to identify shale gas development in China and the United States

    International Nuclear Information System (INIS)

    Shale gas has become an increasingly important form of hydrocarbon energy, and related technologies reflect the geographical characteristics of the countries where the gas is extracted and stored. The United States (U.S.) produces most of the world’s shale gas, while China has the world’s largest shale gas reserves. In this research, we focused on identifying the trends in shale-gas related technologies registered to the United States Patent and Trademark Office (USPTO) and to the State Intellectual Property Office of the People’s Republic of China (SIPO) respectively. To cluster shale-gas related technologies, we text-mined the abstracts of patent specifications. It was found that in the U.S., the key advanced technologies were related to hydraulic fracturing, horizontal drilling, and slick water areas, whereas China had a focus on proppants. The results of our study are expected to assist energy experts in designing energy policies related to technology importation. - Highlights: • We analyzed shale gas-related patent applications in the USPTO and SIPO. • We clustered shale gas patents by text mining patent abstract. • Differences were observed in shale gas technologies developed in the U.S. and China. • We proposed the policies of shale gas exploration and development based on patent analysis

  16. Urine metabolomic analysis identifies potential biomarkers and pathogenic pathways in kidney cancer.

    Science.gov (United States)

    Kim, Kyoungmi; Taylor, Sandra L; Ganti, Sheila; Guo, Lining; Osier, Michael V; Weiss, Robert H

    2011-05-01

    Kidney cancer is the seventh most common cancer in the Western world, its incidence is increasing, and it is frequently metastatic at presentation, at which stage patient survival statistics are grim. In addition, there are no useful biofluid markers for this disease, such that diagnosis is dependent on imaging techniques that are not generally used for screening. In the present study, we use metabolomics techniques to identify metabolites in kidney cancer patients' urine, which appear at different levels (when normalized to account for urine volume and concentration) from the same metabolites in nonkidney cancer patients. We found that quinolinate, 4-hydroxybenzoate, and gentisate are differentially expressed at a false discovery rate of 0.26, and these metabolites are involved in common pathways of specific amino acid and energetic metabolism, consistent with high tumor protein breakdown and utilization, and the Warburg effect. When added to four different (three kidney cancer-derived and one "normal") cell lines, several of the significantly altered metabolites, quinolinate, α-ketoglutarate, and gentisate, showed increased or unchanged cell proliferation that was cell line-dependent. Further evaluation of the global metabolomics analysis, as well as confirmation of the specific potential biomarkers using a larger sample size, will lead to new avenues of kidney cancer diagnosis and therapy. PMID:21348635

  17. De Novo Transcriptome Analysis of Allium cepa L. (Onion Bulb to Identify Allergens and Epitopes.

    Directory of Open Access Journals (Sweden)

    Hemalatha Rajkumar

    Full Text Available Allium cepa (onion is a diploid plant with one of the largest nuclear genomes among all diploids. Onion is an example of an under-researched crop which has a complex heterozygous genome. There are no allergenic proteins and genomic data available for onions. This study was conducted to establish a transcriptome catalogue of onion bulb that will enable us to study onion related genes involved in medicinal use and allergies. Transcriptome dataset generated from onion bulb using the Illumina HiSeq 2000 technology showed a total of 99,074,309 high quality raw reads (~20 Gb. Based on sequence homology onion genes were categorized into 49 different functional groups. Most of the genes however, were classified under 'unknown' in all three gene ontology categories. Of the categorized genes, 61.2% showed metabolic functions followed by cellular components such as binding, cellular processes; catalytic activity and cell part. With BLASTx top hit analysis, a total of 2,511 homologous allergenic sequences were found, which had 37-100% similarity with 46 different types of allergens existing in the database. From the 46 contigs or allergens, 521 B-cell linear epitopes were identified using BepiPred linear epitope prediction tool. This is the first comprehensive insight into the transcriptome of onion bulb tissue using the NGS technology, which can be used to map IgE epitopes and prediction of structures and functions of various proteins.

  18. Automated Source Code Analysis to Identify and Remove Software Security Vulnerabilities: Case Studies on Java Programs

    Directory of Open Access Journals (Sweden)

    Natarajan Meghanathan

    2013-01-01

    Full Text Available The high-level contribution of this paper is to illustrate the development of generic solution strategies to remove software security vulnerabilities that could be identified using automated tools for source code analysis on software programs (developed in Java. We use the Source Code Analyzer and Audit Workbench automated tools, developed by HP Fortify Inc., for our testing purposes. We present case studies involving a file writer program embedded with features for password validation, and connection-oriented server socket programs to discover, analyze the impact and remove the following software security vulnerabilities: (i Hardcoded Password, (ii Empty Password Initialization, (iii Denial of Service, (iv System Information Leak, (v Unreleased Resource, (vi Path Manipulation, and (vii Resource Injection vulnerabilities. For each of these vulnerabilities, we describe the potential risks associated with leaving them unattended in a software program, and provide the solutions (including the code snippets in Java that can be incorporated to remove these vulnerabilities. The proposed solutions are very generic in nature, and can be suitably modified to correct any such vulnerabilities in software developed in any other programming language.

  19. Antimicrobial susceptibility among clinical Nocardia species identified by multilocus sequence analysis.

    Science.gov (United States)

    McTaggart, Lisa R; Doucet, Jennifer; Witkowska, Maria; Richardson, Susan E

    2015-01-01

    Antimicrobial susceptibility patterns of 112 clinical isolates, 28 type strains, and 9 reference strains of Nocardia were determined using the Sensititre Rapmyco microdilution panel (Thermo Fisher, Inc.). Isolates were identified by highly discriminatory multilocus sequence analysis and were chosen to represent the diversity of species recovered from clinical specimens in Ontario, Canada. Susceptibility to the most commonly used drug, trimethoprim-sulfamethoxazole, was observed in 97% of isolates. Linezolid and amikacin were also highly effective; 100% and 99% of all isolates demonstrated a susceptible phenotype. For the remaining antimicrobials, resistance was species specific with isolates of Nocardia otitidiscaviarum, N. brasiliensis, N. abscessus complex, N. nova complex, N. transvalensis complex, N. farcinica, and N. cyriacigeorgica displaying the traditional characteristic drug pattern types. In addition, the antimicrobial susceptibility profiles of a variety of rarely encountered species isolated from clinical specimens are reported for the first time and were categorized into four additional drug pattern types. Finally, MICs for the control strains N. nova ATCC BAA-2227, N. asteroides ATCC 19247(T), and N. farcinica ATCC 23826 were robustly determined to demonstrate method reproducibility and suitability of the commercial Sensititre Rapmyco panel for antimicrobial susceptibility testing of Nocardia spp. isolated from clinical specimens. The reported values will facilitate quality control and standardization among laboratories. PMID:25348540

  20. A new method to identify the foot of continental slope based on an integrated profile analysis

    Science.gov (United States)

    Wu, Ziyin; Li, Jiabiao; Li, Shoujun; Shang, Jihong; Jin, Xiaobin

    2016-06-01

    A new method is proposed to identify automatically the foot of the continental slope (FOS) based on the integrated analysis of topographic profiles. Based on the extremum points of the second derivative and the Douglas-Peucker algorithm, it simplifies the topographic profiles, then calculates the second derivative of the original profiles and the D-P profiles. Seven steps are proposed to simplify the original profiles. Meanwhile, multiple identification methods are proposed to determine the FOS points, including gradient, water depth and second derivative values of data points, as well as the concave and convex, continuity and segmentation of the topographic profiles. This method can comprehensively and intelligently analyze the topographic profiles and their derived slopes, second derivatives and D-P profiles, based on which, it is capable to analyze the essential properties of every single data point in the profile. Furthermore, it is proposed to remove the concave points of the curve and in addition, to implement six FOS judgment criteria.

  1. Expression Data Analysis to Identify Biomarkers Associated with Asthma in Children

    Directory of Open Access Journals (Sweden)

    Wen Xu

    2014-01-01

    Full Text Available Asthma is characterized by recurrent episodes of wheezing, shortness of breath, chest tightness, and coughing. It is usually caused by a combination of complex and incompletely understood environmental and genetic interactions. We obtained gene expression data with high-throughput screening and identified biomarkers of children's asthma using bioinformatics tools. Next, we explained the pathogenesis of children's asthma from the perspective of gene regulatory networks: DAVID was applied to perform Kyoto Encyclopedia of Genes and Genomes (KEGG pathway enriching analysis for the top 3000 pairs of relationships in differentially regulatory network. Finally, we found that HAND1, PTK1, NFKB1, ZIC3, STAT6, E2F1, PELP1, USF2, and CBFB may play important roles in children's asthma initiation. On account of regulatory impact factor (RIF score, HAND1, PTK7, and ZIC3 were the potential asthma-related factors. Our study provided some foundations of a strategy for biomarker discovery despite a poor understanding of the mechanisms underlying children's asthma.

  2. LC-MS based Metabolomics Analysis to Identify Potential Allelochemicals in Wedelia trilobata

    Directory of Open Access Journals (Sweden)

    Kamalrul Azlan Azizan

    2016-05-01

    Full Text Available Wedelia trilobata is a noxious invasive weed that has been widely cultivated as a decorative and groundcover plant. The plant has been reported to contain diverse bioactive compounds with a broad spectrum of biological activities including allelochemicals. Allelochemicals contribute to allelopathy interactions that suppress the growth and development of nearby plants. Several studies have reported the allelopathic potential of W. trilobata and its negative effects to crop plants. However, relatively little is known about the allelochemicals’ composition and how allelochemicals contribute to the allelopathic behavior of this plant. In order to prove allelopathy, the identification of the causative allelochemicals is required. The identification of potential allelochemicals that serve as biomarkers could be useful for assessing allelopathy interactions. In this study, a liquid chromatography (LC based metabolomics approach was applied to find biomarkers with allelopathic effects from W. trilobata. Ethanol and water were used to extract metabolites from the leaves of W. trilobata and analyzed using liquid chromatography coupled with quadrupole high-resolution time of flight mass spectrometry (LC-QTOF-MS. Using multivariate statistical analysis (MVA, we identified eight Rt-m/z pairs as candidate marker compounds for assessing allelopathy interactions of W. trilobata. The results highlight the application of metabolomics for understanding of the role of allelochemicals in allelopathy interactions of W. trilobata .

  3. Whole exome analysis identifies frequent CNGA1 mutations in Japanese population with autosomal recessive retinitis pigmentosa.

    Directory of Open Access Journals (Sweden)

    Satoshi Katagiri

    Full Text Available OBJECTIVE: The purpose of this study was to investigate frequent disease-causing gene mutations in autosomal recessive retinitis pigmentosa (arRP in the Japanese population. METHODS: In total, 99 Japanese patients with non-syndromic and unrelated arRP or sporadic RP (spRP were recruited in this study and ophthalmic examinations were conducted for the diagnosis of RP. Among these patients, whole exome sequencing analysis of 30 RP patients and direct sequencing screening of all CNGA1 exons of the other 69 RP patients were performed. RESULTS: Whole exome sequencing of 30 arRP/spRP patients identified disease-causing gene mutations of CNGA1 (four patients, EYS (three patients and SAG (one patient in eight patients and potential disease-causing gene variants of USH2A (two patients, EYS (one patient, TULP1 (one patient and C2orf71 (one patient in five patients. Screening of an additional 69 arRP/spRP patients for the CNGA1 gene mutation revealed one patient with a homozygous mutation. CONCLUSIONS: This is the first identification of CNGA1 mutations in arRP Japanese patients. The frequency of CNGA1 gene mutation was 5.1% (5/99 patients. CNGA1 mutations are one of the most frequent arRP-causing mutations in Japanese patients.

  4. A meta-analysis of genome-wide association studies identifies novel variants associated with osteoarthritis of the hip

    DEFF Research Database (Denmark)

    Evangelou, Evangelos; Kerkhof, Hanneke J; Styrkarsdottir, Unnur;

    2014-01-01

    Osteoarthritis (OA) is the most common form of arthritis with a clear genetic component. To identify novel loci associated with hip OA we performed a meta-analysis of genome-wide association studies (GWAS) on European subjects....

  5. Differential expression and prognostic significance of SOX genes in pediatric medulloblastoma and ependymoma identified by microarray analysis.

    NARCIS (Netherlands)

    J.M. de Bont (Judith Maria); J.M. Kros (Johan); M.M. Passier (Monique); R.E. Reddingius (Roel); P.A.E. Sillevis Smitt (Peter); T.M. Luider (Theo); M.L. den Boer (Monique); R. Pieters (Rob)

    2008-01-01

    textabstractThe objective of this study was to identify differentially expressed and prognostically important genes in pediatric medulloblastoma and pediatric ependymoma by Affymetrix microarray analysis. Among the most discriminative genes, three members of the SOX transcription factor family were

  6. Joint GWAS Analysis: Comparing similar GWAS at different genomic resolutions identifies novel pathway associations with six complex diseases

    OpenAIRE

    McGeachie, Michael J.; Clemmer, George L.; Jessica Lasky-Su; Amber Dahlin; Raby, Benjamin A.; Weiss, Scott T.

    2014-01-01

    We show here that combining two existing genome wide association studies (GWAS) yields additional biologically relevant information, beyond that obtained by either GWAS separately. We propose Joint GWAS Analysis, a method that compares a pair of GWAS for similarity among the top SNP associations, top genes identified, gene functional clusters, and top biological pathways. We show that Joint GWAS Analysis identifies additional enriched biological pathways that would be missed by traditional Si...

  7. Integrated analysis of DNA methylation profiles and gene expression profiles to identify genes associated with pilocytic astrocytomas

    OpenAIRE

    Zhou, Ruigang; MAN, YIGANG

    2016-01-01

    The present study performed an integral analysis of the gene expression and DNA methylation profile of pilocytic astrocytomas (PAs). Weighted gene co-expression network analysis (WGCNA) was also performed to examine and identify the genes correlated to PAs, to identify candidate therapeutic targets for the treatment of PAs. The DNA methylation profile and gene expression profile were downloaded from the Gene Expression Omnibus database. Following screening of the differentially expressed gene...

  8. Evaluation of Bioelectrical Impedance Analysis for Identifying Overweight Individuals at Increased Cardiometabolic Risk: A Cross-Sectional Study

    OpenAIRE

    Lamb, Maxine J. E.; Byrne, Christopher D.; Wilson, James F; Wild, Sarah H.

    2014-01-01

    OBJECTIVE: To investigate whether bioelectrical impedance analysis could be used to identify overweight individuals at increased cardiometabolic risk, defined as the presence of metabolic syndrome and/or diabetes.DESIGN AND METHODS: Cross-sectional study of a Scottish population including 1210 women and 788 men. The diagnostic performance of thresholds of percentage body fat measured by bioelectrical impedance analysis to identify people at increased cardiometabolic risk was assessed using re...

  9. A meta-analysis of 87,040 individuals identifies 23 new susceptibility loci for prostate cancer

    DEFF Research Database (Denmark)

    Al Olama, Ali Amin; Kote-Jarai, Zsofia; Berndt, Sonja I;

    2014-01-01

    Genome-wide association studies (GWAS) have identified 76 variants associated with prostate cancer risk predominantly in populations of European ancestry. To identify additional susceptibility loci for this common cancer, we conducted a meta-analysis of > 10 million SNPs in 43,303 prostate cancer...

  10. Genome-wide association analysis of more than 120,000 individuals identifies 15 new susceptibility loci for breast cancer

    DEFF Research Database (Denmark)

    Michailidou, Kyriaki; Beesley, Jonathan; Lindstrom, Sara;

    2015-01-01

    Genome-wide association studies (GWAS) and large-scale replication studies have identified common variants in 79 loci associated with breast cancer, explaining ∼14% of the familial risk of the disease. To identify new susceptibility loci, we performed a meta-analysis of 11 GWAS, comprising 15,748...

  11. Identifying gender-preferred communication styles within online cancer communities: a retrospective, longitudinal analysis.

    Directory of Open Access Journals (Sweden)

    Kathleen T Durant

    Full Text Available BACKGROUND: The goal of this research is to determine if different gender-preferred social styles can be observed within the user interactions at an online cancer community. To achieve this goal, we identify and measure variables that pertain to each gender-specific social style. METHODS AND FINDINGS: We perform social network and statistical analysis on the communication flow of 8,388 members at six different cancer forums over eight years. Kruskal-Wallis tests were conducted to measure the difference between the number of intimate (and highly intimate dyads, relationship length, and number of communications. We determine that two patients are more likely to form an intimate bond on a gender-specific cancer forum (ovarian P = <0.0001, breast P = 0.0089, prostate P = 0.0021. Two female patients are more likely to form a highly intimate bond on a female-specific cancer forum (Ovarian P<0.0001, Breast P<0.01. Typically a male patient communicates with more members than a female patient (Ovarian forum P = 0.0406, Breast forum P = 0.0013. A relationship between two patients is longer on the gender-specific cancer forums than a connection between two members not identified as patients (ovarian forum P = 0.00406, breast forum P = 0.00013, prostate forum P = .0.0003. CONCLUSION: The high level of interconnectedness among the prostate patients supports the hypothesis that men prefer to socialize in large, interconnected, less-intimate groups. A female patient is more likely to form a highly intimate connection with another female patient; this finding is consistent with the hypothesis that woman prefer fewer, more intimate connections. The relationships of same-gender cancer patients last longer than other relationships; this finding demonstrates homophily within these online communities. Our findings regarding online communication preferences are in agreement with research findings from person-to-person communication

  12. A cohort analysis to identify eligible patients for intraoperative radiotherapy (IORT) of early breast cancer

    International Nuclear Information System (INIS)

    Since the results from the randomized TARGIT A trial were published, intraoperative radiotherapy (IORT) is used more often. IORT can be provided as accelerated partial breast irradiation (APBI) or as a boost. The definition of suitable patients for IORT as APBI differs between different national societies (e.g. ESTRO and ASTRO) and different inclusion criteria of trials and so does the eligibility of patients. This analysis identifies eligible patients for IORT according to available consensus statements and inclusion criteria of the ongoing TARGIT trials. Between 01/03 – 12/09, 1505 breast cancer cases were treated at the breast cancer center at the University Medical Center Mannheim. Complete data sets for age, stage (T, N, and M), histology and hormone receptor status were available in 1108 cases. Parameters to identify eligible patients are as follows: ESTRO: >50 years, invasive ductal carcinoma/other favorable histology (IDC), T1-2 (≤3 cm), N0, any hormone receptor status, M0; ASTRO: ≥60 years, IDC, T1, N0, positive estrogen hormone receptor status, M0; TARGIT E “elderly”, risk adapted radiotherapy with IORT followed by external beam radiotherapy in case of risk factors in final histopathology, phase II: ≥70 years, IDC, T1, N0, any hormone receptor status, M0; TARGIT C “consolidation”, risk adapted radiotherapy, phase IV: ≥50 years, IDC, T1, N0, positive hormone receptor status, M0; TARGIT BQR “boost quality registry”: every age, every histology, T1-2 (max. 3.5 cm), any hormone receptor status, N0/+, M0/+. Out of the 1108 cases, 379 cases (34.2%) were suitable for IORT as APBI regarding the ESTRO and 175 (15.8%) regarding the ASTRO consensus statements. 82 (7.4%) patients were eligible for the TARGIT E trial, 258 (23.3%) for the TARGIT C trial and 671 (60.6%) for the TARGIT BQR registry. According to the consensus statements of ASTRO (45.1%) and ESTRO (41.4%) about half of the eligible patients were treated with IORT as APBI. From the

  13. Microarray analysis identifies a common set of cellular genes modulated by different HCV replicon clones

    Directory of Open Access Journals (Sweden)

    Gerosolimo Germano

    2008-06-01

    Full Text Available Abstract Background Hepatitis C virus (HCV RNA synthesis and protein expression affect cell homeostasis by modulation of gene expression. The impact of HCV replication on global cell transcription has not been fully evaluated. Thus, we analysed the expression profiles of different clones of human hepatoma-derived Huh-7 cells carrying a self-replicating HCV RNA which express all viral proteins (HCV replicon system. Results First, we compared the expression profile of HCV replicon clone 21-5 with both the Huh-7 parental cells and the 21-5 cured (21-5c cells. In these latter, the HCV RNA has been eliminated by IFN-α treatment. To confirm data, we also analyzed microarray results from both the 21-5 and two other HCV replicon clones, 22-6 and 21-7, compared to the Huh-7 cells. The study was carried out by using the Applied Biosystems (AB Human Genome Survey Microarray v1.0 which provides 31,700 probes that correspond to 27,868 human genes. Microarray analysis revealed a specific transcriptional program induced by HCV in replicon cells respect to both IFN-α-cured and Huh-7 cells. From the original datasets of differentially expressed genes, we selected by Venn diagrams a final list of 38 genes modulated by HCV in all clones. Most of the 38 genes have never been described before and showed high fold-change associated with significant p-value, strongly supporting data reliability. Classification of the 38 genes by Panther System identified functional categories that were significantly enriched in this gene set, such as histones and ribosomal proteins as well as extracellular matrix and intracellular protein traffic. The dataset also included new genes involved in lipid metabolism, extracellular matrix and cytoskeletal network, which may be critical for HCV replication and pathogenesis. Conclusion Our data provide a comprehensive analysis of alterations in gene expression induced by HCV replication and reveal modulation of new genes potentially useful

  14. Genome-Wide Pathway Analysis Identifies Genetic Pathways Associated with Psoriasis.

    Science.gov (United States)

    Aterido, Adrià; Julià, Antonio; Ferrándiz, Carlos; Puig, Lluís; Fonseca, Eduardo; Fernández-López, Emilia; Dauden, Esteban; Sánchez-Carazo, José Luís; López-Estebaranz, José Luís; Moreno-Ramírez, David; Vanaclocha, Francisco; Herrera, Enrique; de la Cueva, Pablo; Dand, Nick; Palau, Núria; Alonso, Arnald; López-Lasanta, María; Tortosa, Raül; García-Montero, Andrés; Codó, Laia; Gelpí, Josep Lluís; Bertranpetit, Jaume; Absher, Devin; Capon, Francesca; Myers, Richard M; Barker, Jonathan N; Marsal, Sara

    2016-03-01

    Psoriasis is a chronic inflammatory disease with a complex genetic architecture. To date, the psoriasis heritability is only partially explained. However, there is increasing evidence that the missing heritability in psoriasis could be explained by multiple genetic variants of low effect size from common genetic pathways. The objective of this study was to identify new genetic variation associated with psoriasis risk at the pathway level. We genotyped 598,258 single nucleotide polymorphisms in a discovery cohort of 2,281 case-control individuals from Spain. We performed a genome-wide pathway analysis using 1,053 reference biological pathways. A total of 14 genetic pathways (PFDR ≤ 2.55 × 10(-2)) were found to be significantly associated with psoriasis risk. Using an independent validation cohort of 7,353 individuals from the UK, a total of 6 genetic pathways were significantly replicated (PFDR ≤ 3.46 × 10(-2)). We found genetic pathways that had not been previously associated with psoriasis risk such as retinol metabolism (Pcombined = 1.84 × 10(-4)), the transport of inorganic ions and amino acids (Pcombined = 1.57 × 10(-7)), and post-translational protein modification (Pcombined = 1.57 × 10(-7)). In the latter pathway, MGAT5 showed a strong network centrality, and its association with psoriasis risk was further validated in an additional case-control cohort of 3,429 individuals (P < 0.05). These findings provide insights into the biological mechanisms associated with psoriasis susceptibility. PMID:26743605

  15. Transcriptome Analysis of Syringa oblata Lindl. Inflorescence Identifies Genes Associated with Pigment Biosynthesis and Scent Metabolism.

    Directory of Open Access Journals (Sweden)

    Jian Zheng

    Full Text Available Syringa oblata Lindl. is a woody ornamental plant with high economic value and characteristics that include early flowering, multiple flower colors, and strong fragrance. Despite a long history of cultivation, the genetics and molecular biology of S. oblata are poorly understood. Transcriptome and expression profiling data are needed to identify genes and to better understand the biological mechanisms of floral pigments and scents in this species. Nine cDNA libraries were obtained from three replicates of three developmental stages: inflorescence with enlarged flower buds not protruded, inflorescence with corolla lobes not displayed, and inflorescence with flowers fully opened and emitting strong fragrance. Using the Illumina RNA-Seq technique, 319,425,972 clean reads were obtained and were assembled into 104,691 final unigenes (average length of 853 bp, 41.75% of which were annotated in the NCBI non-redundant protein database. Among the annotated unigenes, 36,967 were assigned to gene ontology categories and 19,956 were assigned to eukaryoticorthologous groups. Using the Kyoto Encyclopedia of Genes and Genomes pathway database, 12,388 unigenes were sorted into 286 pathways. Based on these transcriptomic data, we obtained a large number of candidate genes that were differentially expressed at different flower stages and that were related to floral pigment biosynthesis and fragrance metabolism. This comprehensive transcriptomic analysis provides fundamental information on the genes and pathways involved in flower secondary metabolism and development in S. oblata, providing a useful database for further research on S. oblata and other plants of genus Syringa.

  16. Potential Coastal Pumped Hydroelectric Energy Storage Locations Identified using GIS-based Topographic Analysis

    Science.gov (United States)

    Parsons, R.; Barnhart, C. J.; Benson, S. M.

    2013-12-01

    Large-scale electrical energy storage could accommodate variable, weather dependent energy resources such as wind and solar. Pumped hydroelectric energy storage (PHS) and compressed energy storage area (CAES) have life cycle energy and financial costs that are an order of magnitude lower than conventional electrochemical storage technologies. However PHS and CAES storage technologies require specific geologic conditions. Conventional PHS requires an upper and lower reservoir separated by at least 100 m of head, but no more than 10 km in horizontal distance. Conventional PHS also impacts fresh water supplies, riparian ecosystems, and hydrologic environments. A PHS facility that uses the ocean as the lower reservoir benefits from a smaller footprint, minimal freshwater impact, and the potential to be located near off shore wind resources and population centers. Although technologically nascent, today one coastal PHS facility exists. The storage potential for coastal PHS is unknown. Can coastal PHS play a significant role in augmenting future power grids with a high faction of renewable energy supply? In this study we employ GIS-based topographic analysis to quantify the coastal PHS potential of several geographic locations, including California, Chile and Peru. We developed automated techniques that seek local topographic minima in 90 m spatial resolution shuttle radar topography mission (SRTM) digital elevation models (DEM) that satisfy the following criteria conducive to PHS: within 10 km from the sea; minimum elevation 150 m; maximum elevation 1000 m. Preliminary results suggest the global potential for coastal PHS could be very significant. For example, in northern Chile we have identified over 60 locations that satisfy the above criteria. Two of these locations could store over 10 million cubic meters of water or several GWh of energy. We plan to report a global database of candidate coastal PHS locations and to estimate their energy storage capacity.

  17. A Clustering Analysis for Identifying Areas of Collision Risk in Restricted Waters

    OpenAIRE

    Zhe Xiang; Qinyou Hu; Chaojian Shi

    2013-01-01

    The identification of areas of collision risk in restricted waters could play an important role in VTS services. Based on the concept of ship domain, this paper introduces a model for identifying collision risk between vessels in restricted waters, then puts forward an improved DBSCAN clustering algorithm for identifying areas of high collision risk, finally, the visualization algorithm is presented. The experimental results in this paper show the algorithm is capable of identifying and rende...

  18. A cross-species genetic analysis identifies candidate genes for mouse anxiety and human bipolar disorder

    OpenAIRE

    Ashbrook, David G.; Robert W Williams; Lu eLu; Reinmar eHager

    2015-01-01

    Bipolar disorder (BD) is a significant neuropsychiatric disorder with a lifetime prevalence of ~1%. To identify genetic variants underlying BD genome-wide association studies (GWAS) have been carried out. While many variants of small effect associated with BD have been identified few have yet been confirmed, partly because of the low power of GWAS due to multiple comparisons being made. Complementary mapping studies using murine models have identified genetic variants for beha...

  19. GENOME-WIDE ASSOCIATION ANALYSIS IDENTIFIES LOCI FOR PRODUCTIVE TRAITS IN JERSEY BREED

    Science.gov (United States)

    A major objective of genomic research in dairy cattle at present is to identify, map, and characterize individual quantitative trait loci (QTL) that affects production traits. A genome scan was conducted in the US Jersey population to identify QTL affecting milk, fat and protein production. Data use...

  20. Transcriptome analysis identifies pathways associated with enhanced maternal performance in QSi5 mice

    Directory of Open Access Journals (Sweden)

    Taylor Rosanne M

    2008-04-01

    Full Text Available Abstract Background Highly fecund mouse strains provide an ideal model to understand the factors affecting maternal performance. The QSi5 inbred strain of mice was selected for high fecundity and low inter-litter interval, and is very successful at weaning large numbers of offspring when compared to other inbred strains. Results Post-natal pup weight gain was used to estimate mammary gland output and to compare the performance of QSi5 mice to CBA mice. Cumulative litter weights and individual pup weight gain was significantly higher throughout the first eight days of lactation in QSi5 mice compared to CBA mice. Morphometric analysis of mammary glands during pregnancy in QSi5 mice revealed a 150 percent greater ductal side branching compared to CBA mice (P Wnt signalling. Eleven of these genes, including six genes from the MAPK signalling pathway, were identified as associated with postnatal growth. Further, positive mediators of Wnt signalling, including Wnt4, Csnk2a1 and Smad4, were over-represented in the QSi5 strain profile, while negative regulators, including Dkkl1, Ppp2r1a and Nlk, were under-represented. These findings are consistent with the role of Wnt and MAPK signalling pathway in ductal morphogenesis and lobuloalveolar development suggesting enhanced activity in QSi5 mice. A similar pattern of phenotype concordance was seen amongst 12 genes from the tight junction pathway, but a pattern did not emerge from the insulin signalling genes. Amongst a group of differentially expressed imprinted genes, two maternal imprinted genes that suppress growth induced via the IGF signalling pathway, Grb10 and Igf2r, were under-represented in QSi5 mice. Whereas Peg3 and Plagl1, both paternally imprinted genes that enhance neonatal growth, were over-represented in QSi5 mice. Conclusion We propose that the combined action of at least three major signalling pathways involved in mammary gland development and milk secretion, namely Wnt, MAPK and tight

  1. A Clustering Analysis for Identifying Areas of Collision Risk in Restricted Waters

    Directory of Open Access Journals (Sweden)

    Zhe Xiang

    2013-03-01

    Full Text Available The identification of areas of collision risk in restricted waters could play an important role in VTS services. Based on the concept of ship domain, this paper introduces a model for identifying collision risk between vessels in restricted waters, then puts forward an improved DBSCAN clustering algorithm for identifying areas of high collision risk, finally, the visualization algorithm is presented. The experimental results in this paper show the algorithm is capable of identifying and rendering areas of collision risk in restricted waters.

  2. A meta-analysis of 120 246 individuals identifies 18 new loci for fibrinogen concentration

    DEFF Research Database (Denmark)

    de Vries, Paul S; Chasman, Daniel I; Sabater-Lleal, Maria;

    2016-01-01

    Genome-wide association studies have previously identified 23 genetic loci associated with circulating fibrinogen concentration. These studies used HapMap imputation and did not examine the X chromosome. 1000 Genomes imputation provides better coverage of uncommon variants, and includes indels. We...... genome-wide significant fibrinogen loci of which 18 were newly identified. There were no genome-wide significant signals on the X chromosome. The lead variants of 5 significant loci were indels. We further identified 6 additional independent signals, including 3 rare variants, at two previously...... characterized loci: FGB and IRF1. Together the 41 loci explain 3% of the variance in plasma fibrinogen concentration....

  3. Analysis of immune-related loci identifies 48 new susceptibility variants for multiple sclerosis

    DEFF Research Database (Denmark)

    Beecham, Ashley H; Patsopoulos, Nikolaos A; Xifara, Dionysia K;

    2013-01-01

    Using the ImmunoChip custom genotyping array, we analyzed 14,498 subjects with multiple sclerosis and 24,091 healthy controls for 161,311 autosomal variants and identified 135 potentially associated regions (P...

  4. A retrospective analysis to identify predictors of COPD-related rehospitalization

    OpenAIRE

    Roberts, Melissa H; Clerisme-Beaty, Emmanuelle; Kozma, Chris M; Paris, Andrew; Slaton, Terra; Mapel, Douglas W

    2016-01-01

    Background Chronic obstructive pulmonary disease (COPD) is often associated with recurrent hospitalizations. This study aimed to identify factors related to COPD rehospitalization. Methods A national US claims database was used to identify patients, aged ≥40 years, hospitalized for COPD. Their first COPD-related hospital admission date in 2009 was set as the index date, with post-discharge COPD-related rehospitalization assessed for 180 days post-index date. Data were analyzed for: 1) all eli...

  5. Identifying a core set of medical informatics serials: an analysis using the MEDLINE database.

    OpenAIRE

    Sittig, D. F.

    1996-01-01

    A study was undertaken to test the hypothesis that a core set of medical informatics serials could be identified by using standard bibliometric techniques. All journal articles indexed by the National Library of Medicine between 1990 and 1994 were included. Articles were identified by using the "MEDICAL INFORMATICS" Medical Subject Heading (MeSH) term. Each serial title containing articles was then ranked according to (1) the total number of medical informatics journal articles indexed and (2...

  6. Identifying novel glioma associated pathways based on systems biology level meta-analysis

    OpenAIRE

    Hu, Yangfan; Li, Jinquan; Yan, Wenying; Chen, Jiajia; Li, Yin; Hu, Guang; Shen, Bairong

    2013-01-01

    Background With recent advances in microarray technology, including genomics, proteomics, and metabolomics, it brings a great challenge for integrating this "-omics" data to analysis complex disease. Glioma is an extremely aggressive and lethal form of brain tumor, and thus the study of the molecule mechanism underlying glioma remains very important. To date, most studies focus on detecting the differentially expressed genes in glioma. However, the meta-analysis for pathway analysis based on ...

  7. Integrated analysis of DNA methylation profiles and gene expression profiles to identify genes associated with pilocytic astrocytomas.

    Science.gov (United States)

    Zhou, Ruigang; Man, Yigang

    2016-04-01

    The present study performed an integral analysis of the gene expression and DNA methylation profile of pilocytic astrocytomas (PAs). Weighted gene co-expression network analysis (WGCNA) was also performed to examine and identify the genes correlated to PAs, to identify candidate therapeutic targets for the treatment of PAs. The DNA methylation profile and gene expression profile were downloaded from the Gene Expression Omnibus database. Following screening of the differentially expressed genes (DEGs) and differentially methylated regions (DMRs), respectively, integrated analysis of the DEGs and DMRs was performed to detect their correlation. Subsequently, the WGCNA algorithm was applied to identify the significant modules and construct the co‑expression network associated with PAs. Furthermore, Gene Ontology enrichment analysis of the associated genes was performed using the Database for Annotation, Visualization and Integrated Discovery. A total number of 2,259 DEGs and 235 DMRs were screened out. Integrated analysis revealed that 30 DEGs were DMRs with prominent negative correlation (cor=‑0.82; P=0.02). Based on the DEGs, the gene co‑expression network was constructed, and nine network modules associated with PAs were identified. The functional analysis results showed that genes relevant to PAs were closely associated with cell differentiation modulation. The screened PA-associated genes were significantly different at the expression and methylation levels. These genes may be used as reliable candidate target genes for the treatment of PAs. PMID:26934913

  8. Integrated analysis of DNA methylation profiles and gene expression profiles to identify genes associated with pilocytic astrocytomas

    Science.gov (United States)

    ZHOU, RUIGANG; MAN, YIGANG

    2016-01-01

    The present study performed an integral analysis of the gene expression and DNA methylation profile of pilocytic astrocytomas (PAs). Weighted gene co-expression network analysis (WGCNA) was also performed to examine and identify the genes correlated to PAs, to identify candidate therapeutic targets for the treatment of PAs. The DNA methylation profile and gene expression profile were downloaded from the Gene Expression Omnibus database. Following screening of the differentially expressed genes (DEGs) and differentially methylated regions (DMRs), respectively, integrated analysis of the DEGs and DMRs was performed to detect their correlation. Subsequently, the WGCNA algorithm was applied to identify the significant modules and construct the co-expression network associated with PAs. Furthermore, Gene Ontology enrichment analysis of the associated genes was performed using the Database for Annotation, Visualization and Integrated Discovery. A total number of 2,259 DEGs and 235 DMRs were screened out. Integrated analysis revealed that 30 DEGs were DMRs with prominent negative correlation (cor=−0.82; P=0.02). Based on the DEGs, the gene co-expression network was constructed, and nine network modules associated with PAs were identified. The functional analysis results showed that genes relevant to PAs were closely associated with cell differentiation modulation. The screened PA-associated genes were significantly different at the expression and methylation levels. These genes may be used as reliable candidate target genes for the treatment of PAs. PMID:26934913

  9. Gene-set analysis based on the pharmacological profiles of drugs to identify repurposing opportunities in schizophrenia.

    Science.gov (United States)

    de Jong, Simone; Vidler, Lewis R; Mokrab, Younes; Collier, David A; Breen, Gerome

    2016-08-01

    Genome-wide association studies (GWAS) have identified thousands of novel genetic associations for complex genetic disorders, leading to the identification of potential pharmacological targets for novel drug development. In schizophrenia, 108 conservatively defined loci that meet genome-wide significance have been identified and hundreds of additional sub-threshold associations harbour information on the genetic aetiology of the disorder. In the present study, we used gene-set analysis based on the known binding targets of chemical compounds to identify the 'drug pathways' most strongly associated with schizophrenia-associated genes, with the aim of identifying potential drug repositioning opportunities and clues for novel treatment paradigms, especially in multi-target drug development. We compiled 9389 gene sets (2496 with unique gene content) and interrogated gene-based p-values from the PGC2-SCZ analysis. Although no single drug exceeded experiment wide significance (corrected pdrugs and molecules that show polypharmacy. PMID:27302942

  10. Gene-set analysis based on the pharmacological profiles of drugs to identify repurposing opportunities in schizophrenia

    OpenAIRE

    de Jong, Simone; Vidler, Lewis; Mokrab, Younes; Collier, David A; Breen, Gerome Daniel

    2016-01-01

    Genome-wide association studies (GWAS) have identified thousands of novel genetic associations for complex genetic disorders, leading to the identification of potential pharmacological targets for novel drug development. In schizophrenia, 108 conservatively defined loci that meet genome-wide significance have been identified and hundreds of additional sub-threshold associations harbor information on the genetic aetiology of the disorder. In the present study, we used gene-set analysis based o...

  11. Thirty new loci for age at menarche identified by a meta-analysis of genome-wide association studies

    DEFF Research Database (Denmark)

    Elks, Cathy E; Perry, John R B; Sulem, Patrick;

    2010-01-01

    To identify loci for age at menarche, we performed a meta-analysis of 32 genome-wide association studies in 87,802 women of European descent, with replication in up to 14,731 women. In addition to the known loci at LIN28B (P = 5.4 × 10⁻⁶⁰) and 9q31.2 (P = 2.2 × 10⁻³³), we identified 30 new menarc...

  12. Co-expression network analysis to identify pluripotency biomarkers in bovine and porcine embryos

    DEFF Research Database (Denmark)

    Mazzoni, Gianluca; Freude, Karla Kristine; Hall, Vanessa Jane;

    stable culture of pluripotent cells in pig and cattle. Methods After quality control reads were pre-processed and mapped with STAR aligner. Post-mapping quality was checked with Qualimap. Finally the expression levels were estimated using HTSeq. Gene co-expression will be analyzed using a weighted...... network based method to identify highly co-expressed genes (module) and hub genes. Modules with a potential role in pluripotency will be identified with enrichment procedure and regulator genes identified with LemonTree algorithm. Differential wiring of modules among species will be evaluated. Expected...... results We expect to find out candidate pluripotency factors in porcine and bovine embryo. Acknowledgements We thank for the financial support from the EU project PluriSys, HEALTH-2007-B-223485....

  13. Identifying disease candidate genes via large-scale gene network analysis.

    Science.gov (United States)

    Kim, Haseong; Park, Taesung; Gelenbe, Erol

    2014-01-01

    Gene Regulatory Networks (GRN) provide systematic views of complex living systems, offering reliable and large-scale GRNs to identify disease candidate genes. A reverse engineering technique, Bayesian Model Averaging-based Networks (BMAnet), which ensembles all appropriate linear models to tackle uncertainty in model selection that integrates heterogeneous biological data sets is introduced. Using network evaluation metrics, we compare the networks that are thus identified. The metric 'Random walk with restart (Rwr)' is utilised to search for disease genes. In a simulation our method shows better performance than elastic-net and Gaussian graphical models, but topological quantities vary among the three methods. Using real-data, brain tumour gene expression samples consisting of non-tumour, grade III and grade IV are analysed to estimate networks with a total of 4422 genes. Based on these networks, 169 brain tumour-related candidate genes were identified and some were found to relate to 'wound', 'apoptosis', and 'cell death' processes. PMID:25796737

  14. Identifying airline cost economies: An econometric analysis of the factors affecting aircraft opeerating costs

    NARCIS (Netherlands)

    J. Zuidberg

    2014-01-01

    This paper provides the results of an econometric analysis of the influences of airline characteristics on the average operating costs per aircraft movement. The analysis combines a comprehensive selection of airline-output variables, airline-fleet variables, and airline-market variables. The result

  15. Large-scale association analysis identifies 13 new susceptibility loci for coronary artery disease

    NARCIS (Netherlands)

    H. Schunkert (Heribert); I.R. König (Inke); S. Kathiresan (Sekar); M.P. Reilly (Muredach); T.L. Assimes (Themistocles); H. Holm (Hilma); M. Preuss (Michael); A.F.R. Stewart (Alexandre); M. Barbalic (maja); C. Gieger (Christian); D. Absher (Devin); Z. Aherrahrou (Zouhair); H. Allayee (Hooman); D. Altshuler (David); S.S. Anand (Sonia); K. Andersen (Karl); J.L. Anderson (Jeffrey); D. Ardissino (Diego); S.G. Ball (Stephen); A.J. Balmforth (Anthony); T.A. Barnes (Timothy); D.M. Becker (Diane); K. Berger (Klaus); J.C. Bis (Joshua); S.M. Boekholdt (Matthijs); E. Boerwinkle (Eric); P.S. Braund (Peter); M.J. Brown (Morris); M.S. Burnett; I. Buysschaert (Ian); J.F. Carlquist (John); L. Chen (Li); S. Cichon (Sven); V. Codd (Veryan); R.W. Davies (Robert); G.V. Dedoussis (George); A. Dehghan (Abbas); S. Demissie (Serkalem); J. Devaney (Joseph); P. Diemert (Patrick); R. Do (Ron); A. Doering (Angela); S. Eifert (Sandra); N.E.E. Mokhtari; S.G. Ellis (Stephen); R. Elosua (Roberto); J.C. Engert (James); S.E. Epstein (Stephen); U. de Faire (Ulf); M. Fischer (Marcus); A.R. Folsom (Aaron); J. Freyer (Jennifer); B. Gigante (Bruna); D. Girelli (Domenico); S. Gretarsdottir (Solveig); V. Gudnason (Vilmundur); J.R. Gulcher (Jeffrey); E. Halperin (Eran); N. Hammond (Naomi); S.L. Hazen (Stanley); A. Hofman (Albert); B.D. Horne (Benjamin); T. Illig (Thomas); C. Iribarren (Carlos); G.T. Jones (Gregory); J.W. Jukema (Jan Wouter); M.A. Kaiser (Michael); R.C. Kaplan (Robert); K-T. Khaw (Kay-Tee); J.W. Knowles (Joshua); G. Kolovou (Genovefa); A. Kong (Augustine); R. Laaksonen (Reijo); D. Lambrechts (Diether); K. Leander (Karin); G. Lettre (Guillaume); X. Li (Xiaohui); W. Lieb (Wolfgang); C. Loley (Christina); A.J. Lotery (Andrew); P.M. Mannucci (Pier); S. Maouche (Seraya); N. Martinelli (Nicola); P.P. McKeown (Pascal); C. Meisinger (Christa); T. Meitinger (Thomas); O. Melander (Olle); P.A. Merlini; V. Mooser (Vincent); T. Morgan (Thomas); T.W. Mühleisen (Thomas); J.B. Muhlestein (Joseph); T. Münzel (Thomas); K. Musunuru (Kiran); J. Nahrstaedt (Janja); C.P. Nelson (Christopher P.); M.M. Nöthen (Markus); O. Olivieri (Oliviero); R.S. Patel (Riyaz); C.C. Patterson (Chris); A. Peters (Annette); F. Peyvandi (Flora); L. Qu (Liming); A.A. Quyyumi (Arshed); D.J. Rader (Daniel); L.S. Rallidis (Loukianos); C. Rice (Catherine); F.R. Rosendaal (Frits); D. Rubin (Diana); V. Salomaa (Veikko); M.L. Sampietro (Maria Lourdes); M.S. Sandhu (Manj); E.E. Schadt (Eric); A. Scḧsignfer (Arne); A. Schillert (Arne); S. Schreiber (Stefan); J. Schrezenmeir (Jürgen); S.M. Schwartz (Stephen); D.S. Siscovick (David); M. Sivananthan (Mohan); S. Sivapalaratnam (Suthesh); A.V. Smith (Albert Vernon); J.D. Snoep (Jaapjan); N. Soranzo (Nicole); J.A. Spertus (John); K. Stark (Klaus); K. Stirrups (Kathy); M. Stoll (Monika); W.H.W. Tang (Wilson); S. Tennstedt (Stephanie); G. Thorgeirsson (Gudmundur); G. Thorleifsson (Gudmar); M. Tomaszewski; A.G. Uitterlinden (André); A.M. van Rij (Andre); B.F. Voight (Benjamin); N.J. Wareham (Nick); G.A. Wells (George); H.E. Wichmann (Heinz Erich); P.S. Wild (Philipp); C. Willenborg (Christina); J.C.M. Witteman (Jacqueline); B.J. Wright (Benjamin); S. Ye (Shu); T. Zeller (Tanja); A. Ziegler; F. Cambien (François); A.H. Goodall (Alison); L.A. Cupples (Adrienne); T. Quertermous (Thomas); W. Mäsignrz (Winfried); C. Hengstenberg (Christian); S. Blankenberg (Stefan); W.H. Ouwehand (Willem); A.S. Hall (Alistair); J.J.P. Kastelein (John); P. Deloukas (Panagiotis); J.R. Thompson (John); K. Stefansson (Kari); R. Roberts (Robert); U. Thorsteinsdottir (Unnur); C.J. O'Donnell (Christopher); R. McPherson (Ruth); J. Erdmann (Jeanette); N.J. Samani (Nilesh)

    2011-01-01

    textabstractWe performed a meta-analysis of 14 genome-wide association studies of coronary artery disease (CAD) comprising 22,233 individuals with CAD (cases) and 64,762 controls of European descent followed by genotyping of top association signals in 56,682 additional individuals. This analysis ide

  16. LONG-TERM STABILITY OF FOOD PATTERNS IDENTIFIED BY USE OF FACTOR ANALYSIS AMONG SWEDISH WOMEN

    Science.gov (United States)

    Limited data exist on the reproducibility of food patterns measured using factor analysis, as well as the stability of patterns over time. Our primary objective was to explore the long-term stability of food patterns derived using confirmatory factor analysis among 33,840 women participating in the...

  17. Identifying Research Fields within Business and Management: A Journal Cross-Citation Analysis

    OpenAIRE

    Mingers, John; Leydesdorff, Loet

    2014-01-01

    A discipline such as business and management (B&M) is very broad and has many fields within it, ranging from fairly scientific ones such as management science or economics to softer ones such as information systems. There are at least three reasons why it is important to identify these sub-fields accurately. Firstly, to give insight into the structure of the subject area and identify perhaps unrecognised commonalities; second for the purpose of normalizing citation data as it is well known th...

  18. Identifying Professional Teaching Standards Using Rasch Model Analysis: The Case of Northern Cyprus

    Science.gov (United States)

    Alibaba Erden, Hale; Özer, Bekir

    2013-01-01

    Problem Statement: The Teacher's-Act defined for the state-school teachers of North Cyprus shows that teachers are not selected according to any specific standards. In North Cyprus, apart from the exam topics defined at the teacher's exam regulations, there is not any kind of identified standard for teachers. Training qualified teachers based upon…

  19. Many novel mammalian microRNA candidates identified by extensive cloning and RAKE analysis

    NARCIS (Netherlands)

    Berezikov, Eugene; van Tetering, Geert; Verheul, Mark; van de Belt, Jose; van Laake, Linda; Vos, Joost; Verloop, Robert; van de Wetering, Marc; Guryev, Victor; Takada, Shuji; van Zonneveld, Anton Jan; Mano, Hiroyuki; Plasterk, Ronald; Cuppen, Edwin

    2006-01-01

    MicroRNAs are 20- to 23-nucleotide RNA molecules that can regulate gene expression. Currently > 400 microRNAs have been experimentally identified in mammalian genomes, whereas estimates go up to 1000 and beyond. Here we show that many more mammalian microRNAs exist. We discovered novel microRNA cand

  20. Genome-Wide Association Analysis to Identify Loci for Milk Yield in Gyr Breed

    Science.gov (United States)

    A genome scan was conducted to identify QTL affecting milk yield in a Brazilian Gyr population of progeny test bulls (N=319). Data used in this study was derived from traditional genetic evaluation records computed by the Embrapa Dairy Cattleand released in May/2009 (http://www.cnpgl.embrapa.br/nova...

  1. Alternative splicing in colon, bladder, and prostate cancer identified by exon-array analysis

    DEFF Research Database (Denmark)

    Thorsen, Kasper; Sørensen, Karina D.; Brems-Eskildsen, Anne Sofie;

    2008-01-01

    Alternative splicing enhances proteome diversity and modulates cancer-associated proteins. To identify tissue- and tumor-specific alternative splicing, we used the GeneChip Human Exon 1.0 ST Array to measure whole-genome exon expression in 102 normal and cancer tissue samples of different stages ...

  2. Microarray analysis identified Puccinia striiformis f. sp. tritici genes involved in infection and sporulation.

    Science.gov (United States)

    Puccinia striiformis f. sp. tritici (Pst) causes stripe rust, one of the most important diseases of wheat worldwide. To identify Pst genes involved in infection and sporulation, a custom oligonucleotide Genechip was made using sequences of 442 genes selected from Pst cDNA libraries. Microarray analy...

  3. On-line structural response analysis: using the extended Kalman estimator/identifier

    International Nuclear Information System (INIS)

    This report disucsses the development of on-line state and parameter estimators used to analyze the structural response of buildings. The estimator/identifier is an extended Kalman filter (EKF), which has been applied with great success in other technological areas. It is shown that the EKF can perform quite well on simulated noisy structural response data

  4. Integrative transcriptome analysis identifies deregulated microRNA-transcription factor networks in lung adenocarcinoma

    DEFF Research Database (Denmark)

    Cinegaglia, Naiara C; Andrade, Sonia Cristina S; Tokar, Tomas;

    2016-01-01

    Herein, we aimed at identifying global transcriptome microRNA (miRNA) changes and miRNA target genes in lung adenocarcinoma. Samples were selected as training (N = 24) and independent validation (N = 34) sets. Tissues were microdissected to obtain >90% tumor or normal lung cells, subjected to miR...

  5. GWAS meta-analysis and replication identifies three new susceptibility loci for ovarian cancer

    DEFF Research Database (Denmark)

    Pharoah, Paul D P; Tsai, Ya-Yu; Ramus, Susan J;

    2013-01-01

    Genome-wide association studies (GWAS) have identified four susceptibility loci for epithelial ovarian cancer (EOC), with another two suggestive loci reaching near genome-wide significance. We pooled data from a GWAS conducted in North America with another GWAS from the UK. We selected the top 24...

  6. Using Critical Thinking to Identify Bias in the News Media: The Art of Critical Analysis.

    Science.gov (United States)

    Paul, Richard W.; Adamson, Kenneth R.

    1990-01-01

    Urges social studies teachers to help students understand and identify sociocentric, national bias in the news media. Illustrates how the media fosters "us versus them" thinking and how word choice often reflects bias. Outlines activities to help students recognize bias. Provides weak and strong examples of students' analyses of bias in news…

  7. Analysis of immune-related loci identifies 48 new susceptibility variants for multiple sclerosis

    Science.gov (United States)

    Beecham, Ashley H; Patsopoulos, Nikolaos A; Xifara, Dionysia K; Davis, Mary F; Kemppinen, Anu; Cotsapas, Chris; Shahi, Tejas S; Spencer, Chris; Booth, David; Goris, An; Oturai, Annette; Saarela, Janna; Fontaine, Bertrand; Hemmer, Bernhard; Martin, Claes; Zipp, Frauke; D’alfonso, Sandra; Martinelli-Boneschi, Filippo; Taylor, Bruce; Harbo, Hanne F; Kockum, Ingrid; Hillert, Jan; Olsson, Tomas; Ban, Maria; Oksenberg, Jorge R; Hintzen, Rogier; Barcellos, Lisa F; Agliardi, Cristina; Alfredsson, Lars; Alizadeh, Mehdi; Anderson, Carl; Andrews, Robert; Søndergaard, Helle Bach; Baker, Amie; Band, Gavin; Baranzini, Sergio E; Barizzone, Nadia; Barrett, Jeffrey; Bellenguez, Céline; Bergamaschi, Laura; Bernardinelli, Luisa; Berthele, Achim; Biberacher, Viola; Binder, Thomas M C; Blackburn, Hannah; Bomfim, Izaura L; Brambilla, Paola; Broadley, Simon; Brochet, Bruno; Brundin, Lou; Buck, Dorothea; Butzkueven, Helmut; Caillier, Stacy J; Camu, William; Carpentier, Wassila; Cavalla, Paola; Celius, Elisabeth G; Coman, Irène; Comi, Giancarlo; Corrado, Lucia; Cosemans, Leentje; Cournu-Rebeix, Isabelle; Cree, Bruce A C; Cusi, Daniele; Damotte, Vincent; Defer, Gilles; Delgado, Silvia R; Deloukas, Panos; di Sapio, Alessia; Dilthey, Alexander T; Donnelly, Peter; Dubois, Bénédicte; Duddy, Martin; Edkins, Sarah; Elovaara, Irina; Esposito, Federica; Evangelou, Nikos; Fiddes, Barnaby; Field, Judith; Franke, Andre; Freeman, Colin; Frohlich, Irene Y; Galimberti, Daniela; Gieger, Christian; Gourraud, Pierre-Antoine; Graetz, Christiane; Graham, Andrew; Grummel, Verena; Guaschino, Clara; Hadjixenofontos, Athena; Hakonarson, Hakon; Halfpenny, Christopher; Hall, Gillian; Hall, Per; Hamsten, Anders; Harley, James; Harrower, Timothy; Hawkins, Clive; Hellenthal, Garrett; Hillier, Charles; Hobart, Jeremy; Hoshi, Muni; Hunt, Sarah E; Jagodic, Maja; Jelčić, Ilijas; Jochim, Angela; Kendall, Brian; Kermode, Allan; Kilpatrick, Trevor; Koivisto, Keijo; Konidari, Ioanna; Korn, Thomas; Kronsbein, Helena; Langford, Cordelia; Larsson, Malin; Lathrop, Mark; Lebrun-Frenay, Christine; Lechner-Scott, Jeannette; Lee, Michelle H; Leone, Maurizio A; Leppä, Virpi; Liberatore, Giuseppe; Lie, Benedicte A; Lill, Christina M; Lindén, Magdalena; Link, Jenny; Luessi, Felix; Lycke, Jan; Macciardi, Fabio; Männistö, Satu; Manrique, Clara P; Martin, Roland; Martinelli, Vittorio; Mason, Deborah; Mazibrada, Gordon; McCabe, Cristin; Mero, Inger-Lise; Mescheriakova, Julia; Moutsianas, Loukas; Myhr, Kjell-Morten; Nagels, Guy; Nicholas, Richard; Nilsson, Petra; Piehl, Fredrik; Pirinen, Matti; Price, Siân E; Quach, Hong; Reunanen, Mauri; Robberecht, Wim; Robertson, Neil P; Rodegher, Mariaemma; Rog, David; Salvetti, Marco; Schnetz-Boutaud, Nathalie C; Sellebjerg, Finn; Selter, Rebecca C; Schaefer, Catherine; Shaunak, Sandip; Shen, Ling; Shields, Simon; Siffrin, Volker; Slee, Mark; Sorensen, Per Soelberg; Sorosina, Melissa; Sospedra, Mireia; Spurkland, Anne; Strange, Amy; Sundqvist, Emilie; Thijs, Vincent; Thorpe, John; Ticca, Anna; Tienari, Pentti; van Duijn, Cornelia; Visser, Elizabeth M; Vucic, Steve; Westerlind, Helga; Wiley, James S; Wilkins, Alastair; Wilson, James F; Winkelmann, Juliane; Zajicek, John; Zindler, Eva; Haines, Jonathan L; Pericak-Vance, Margaret A; Ivinson, Adrian J; Stewart, Graeme; Hafler, David; Hauser, Stephen L; Compston, Alastair; McVean, Gil; De Jager, Philip; Sawcer, Stephen; McCauley, Jacob L

    2013-01-01

    Using the ImmunoChip custom genotyping array, we analysed 14,498 multiple sclerosis subjects and 24,091 healthy controls for 161,311 autosomal variants and identified 135 potentially associated regions (p-value < 1.0 × 10-4). In a replication phase, we combined these data with previous genome-wide association study (GWAS) data from an independent 14,802 multiple sclerosis subjects and 26,703 healthy controls. In these 80,094 individuals of European ancestry we identified 48 new susceptibility variants (p-value < 5.0 × 10-8); three found after conditioning on previously identified variants. Thus, there are now 110 established multiple sclerosis risk variants in 103 discrete loci outside of the Major Histocompatibility Complex. With high resolution Bayesian fine-mapping, we identified five regions where one variant accounted for more than 50% of the posterior probability of association. This study enhances the catalogue of multiple sclerosis risk variants and illustrates the value of fine-mapping in the resolution of GWAS signals. PMID:24076602

  8. A meta-analysis of 120 246 individuals identifies 18 new loci for fibrinogen concentration

    NARCIS (Netherlands)

    P.S. de Vries (Paul); D.I. Chasman (Daniel); M. Sabater-Lleal (Maria); M.-H. Chen (Ming-Huei); J.E. Huffman (Jennifer E.); M. Steri (Maristella); W. Tang (Weihong); A. Teumer (Alexander); R.E. Marioni (Riccardo); V. Grossmann (Vera); J.J. Hottenga (Jouke Jan); S. Trompet (Stella); M. Müller-Nurasyid (Martina); J.H. Zhao (Jing Hua); J. Brody (Jennifer); M.E. Kleber (Marcus); X. Guo (Xiuqing); J.J. Wang (Jie Jin); P. Auer (Paul); J. Attia (John); L.R. Yanek (Lisa); T.S. Ahluwalia (Tarunveer Singh); J. Lahti (Jari); C. Venturini (Cristina); T. Tanaka (Toshiko); L.F. Bielak (Lawrence F.); P.K. Joshi (Peter); A. Rocanin-Arjo (Ares); I. Kolcic (Ivana); P. Navarro (Pau); L.M. Rose (Lynda); C. Oldmeadow (Christopher); H. Riess (Helene); J. Mazur (Johanna); S. Basu (Saonli); A. Goel (Anuj); Q. Yang (Qiong); M. Ghanbari (Mohsen); Gonnekewillemsen; A. Rumley (Ann); E. Fiorillo (Edoardo); A.J. de Craen (Anton); A. Grotevendt (Anne); R.A. Scott (Robert); K.D. Taylor (Kent D.); G.E. Delgado (Graciela E.); J. Yao (Jie); A. Kifley (Annette); C. Kooperberg (Charles); Q. Qayyum (Rehan); L. Lopez (Lornam); T.L. Berentzen (Tina L.); K. Räikkönen (Katri); Massimomangino; S. Bandinelli (Stefania); P.A. Peyser (Patricia A.); S. Wild (Sarah); D.-A. Tregouet (David-Alexandre); A.F. Wright (Alan); J. Marten (Jonathan); T. Zemunik (Tatijana); A.C. Morrison (Alanna); B. Sennblad (Bengt); G.H. Tofler (Geoffrey); M.P.M. de Maat (Moniek); E.J.C. de Geus (Eco); G.D. Lowe (Gordon D.); M. Zoledziewska (Magdalena); N. Sattar (Naveed); H. Binder (Harald); U. Völker (Uwe); M. Waldenberger (Melanie); K.-T. Khaw (Kay-Tee); B. McKnight (Barbara); J. Huang (Jian); N.S. Jenny (Nancy); E.G. Holliday (Elizabeth); L. Qi (Lihong); M.G. Mcevoy (Mark G.); D.M. Becker (Diane); J.M. Starr (John); A.-P. Sarin; P.G. Hysi (Pirro); D.G. Hernandez (Dena); M.A. Jhun (Min A.); H. Campbell (Harry); A. Hamsten (Anders); F. Sarin (Fernando); W.L. McArdle (Wendy); P. Eline Slagboom; T. Zeller (Tanja); W. Koenig (Wolfgang); B. Psaty (Brucem); T. Haritunians (Talin); J. Liu (Jingmin); A. Palotie (Aarno); A.G. Uitterlinden (André); D.J. Stott (David J.); A. Hofman (Albert); O.H. Franco (Oscar); O. Polasek (Ozren); I. Rudan (Igor); P.-E. Morange (P.); J.F. Wilson (James F.); S.L. Kardia (Sharon L.r); L. Ferrucci (Luigi); T.D. Spector (Timothy); J.G. Eriksson (Johan G.); T. Hansen (Torben); I.J. Deary (Ian); L.C. Becker (Lewis); R.J. Scott (Rodney); P. Mitchell (Paul); W. März (Winfried); N.J. Wareham (Nick J.); A. Peters (Annette); A. Greinacher (Andreas); P.S. Wild (Philipp S.); J.W. Jukema (Jan Wouter); D.I. Boomsma (Dorret I.); C. Hayward (Caroline); F. Cucca (Francesco); R.P. Tracy (Russell); H. Watkins (Hugh); A.P. Reiner (Alex P.); A.R. Folsom (Aaron); P.M. Ridker (Paul); C.J. O'Donnell (Christopher J.); N.L. Smith (Nicholas L.); D.P. Strachan (David P.); A. Dehghan (Abbas)

    2016-01-01

    textabstractGenome-wide association studies have previously identified 23 genetic loci associated with circulating fibrinogen concentration. These studies used HapMap imputation and did not examine the X-chromosome. 1000 Genomes imputation provides better coverage of uncommon variants, and includes

  9. Identifying research fields within business and management: a journal cross-citation analysis

    NARCIS (Netherlands)

    J. Mingers; L. Leydesdorff

    2015-01-01

    A discipline such as business and management (B&M) is very broad and has many fields within it, ranging from fairly scientific ones such as management science or economics to softer ones such as information systems. There are at least three reasons why it is important to identify these sub-fields ac

  10. Genome-wide association analysis identifies three new breast cancer susceptibility loci

    DEFF Research Database (Denmark)

    Ghoussaini, Maya; Fletcher, Olivia; Michailidou, Kyriaki;

    2012-01-01

    Breast cancer is the most common cancer among women. To date, 22 common breast cancer susceptibility loci have been identified accounting for ∼8% of the heritability of the disease. We attempted to replicate 72 promising associations from two independent genome-wide association studies (GWAS) in ...

  11. Contingency Space Analysis: An Alternative Method for Identifying Contingent Relations from Observational Data

    Science.gov (United States)

    Martens, Brian K.; DiGennaro, Florence D.; Reed, Derek D.; Szczech, Frances M.; Rosenthal, Blair D.

    2008-01-01

    Descriptive assessment methods have been used in applied settings to identify consequences for problem behavior, thereby aiding in the design of effective treatment programs. Consensus has not been reached, however, regarding the types of data or analytic strategies that are most useful for describing behavior-consequence relations. One promising…

  12. Genome-wide meta-analysis identifies new susceptibility loci for migraine

    DEFF Research Database (Denmark)

    Anttila, Verneri; Winsvold, Bendik S; Gormley, Padhraig;

    2013-01-01

    Migraine is the most common brain disorder, affecting approximately 14% of the adult population, but its molecular mechanisms are poorly understood. We report the results of a meta-analysis across 29 genome-wide association studies, including a total of 23,285 individuals with migraine (cases) an...... analyses. Brain tissue expression quantitative trait locus analysis suggests potential functional candidate genes at four loci: APOA1BP, TBC1D7, FUT9, STAT6 and ATP5B....

  13. Detection bias in microarray and sequencing transcriptomic analysis identified by housekeeping genes

    OpenAIRE

    Yijuan Zhang; Oluwafemi S. Akintola; Liu, Ken J.A.; Bingyun Sun

    2015-01-01

    This work includes the original data used to discover the gene ontology bias in transcriptomic analysis conducted by microarray and high throughput sequencing (Zhang et al., 2015) [1]. In the analysis, housekeeping genes were used to examine the differential detection ability by microarray and sequencing because these genes are probably the most reliably detected. The genes included here were compiled from 15 human housekeeping gene studies. The provided tables here comprise of detailed chrom...

  14. Identifying geographical patterns of wildfire orientation: A watershed-based analysis

    OpenAIRE

    Barros, Ana M. G.; José M.C. Pereira; Lund, Ulric J.

    2012-01-01

    We searched for geographical patterns in the orientation of wildfires, using watersheds as spatial support for the analysis. An 1975–2005 annual fire atlas of mainland Portugal was used to compute the orientation of fire perimeters and watersheds, using principal component analysis. Circular statistics were employed to test for the existence of a preferred, as opposed to random, mean fire orientation in each watershed, and to search for evidence of orographic channelling of fire b...

  15. Weighted gene co-expression network analysis identifies specific modules and hub genes related to coronary artery disease

    OpenAIRE

    Liu, Jing; Jing, Ling; Tu, Xilin

    2016-01-01

    Background The analysis of the potential molecule targets of coronary artery disease (CAD) is critical for understanding the molecular mechanisms of disease. However, studies of global microarray gene co-expression analysis of CAD still remain limited. Methods Microarray data of CAD (GSE23561) were downloaded from Gene Expression Omnibus, including peripheral blood samples from CAD patients (n = 6) and controls (n = 9). Limma package in R was used to identify the differentially expressed gene...

  16. Integrated genomic analysis identifies the mitotic checkpoint kinase WEE1 as a novel therapeutic target in medulloblastoma

    OpenAIRE

    Harris, Peter S; Venkataraman, Sujatha; Alimova, Irina; Birks, Diane K; Balakrishnan, Ilango; Cristiano, Brian; Donson, Andrew M; Dubuc, Adrian M.; Taylor, Michael D.; Foreman, Nicholas K.; Reigan, Philip; Vibhakar, Rajeev

    2014-01-01

    Background Medulloblastoma is the most common type of malignant brain tumor that afflicts children. Although recent advances in chemotherapy and radiation have improved outcomes, high-risk patients do poorly with significant morbidity. Methods To identify new molecular targets, we performed an integrated genomic analysis using structural and functional methods. Gene expression profiling in 16 medulloblastoma patient samples and subsequent gene set enrichment analysis indicated that cell cycle...

  17. Immunochip analysis identifies association of the RAD50/IL13 region with human longevity

    DEFF Research Database (Denmark)

    Flachsbart, Friederike; Ellinghaus, David; Gentschew, Liljana;

    2016-01-01

    -wide significant signal (PI mmunochip = 7.01 × 10(-9) ) for the SNP rs2075650 in the TOMM40/APOE region, which has been previously described in the context of human longevity. To identify novel susceptibility loci, we selected 15 markers with PI mmunochip < 5 × 10(-4) for replication in two samples from France......Human longevity is characterized by a remarkable lack of confirmed genetic associations. Here, we report on the identification of a novel locus for longevity in the RAD50/IL13 region on chromosome 5q31.1 using a combined European sample of 3208 long-lived individuals (LLI) and 8919 younger controls...... seems a plausible longevity candidate due to its involvement in DNA repair and inflammation. Further studies are needed to identify the functional variant(s) that predispose(s) to a long and healthy life....

  18. Automatic derivation of domain terms and concept location based on the analysis of the identifiers

    CERN Document Server

    Vaclavik, Peter; Mezei, Marek

    2010-01-01

    Developers express the meaning of the domain ideas in specifically selected identifiers and comments that form the target implemented code. Software maintenance requires knowledge and understanding of the encoded ideas. This paper presents a way how to create automatically domain vocabulary. Knowledge of domain vocabulary supports the comprehension of a specific domain for later code maintenance or evolution. We present experiments conducted in two selected domains: application servers and web frameworks. Knowledge of domain terms enables easy localization of chunks of code that belong to a certain term. We consider these chunks of code as "concepts" and their placement in the code as "concept location". Application developers may also benefit from the obtained domain terms. These terms are parts of speech that characterize a certain concept. Concepts are encoded in "classes" (OO paradigm) and the obtained vocabulary of terms supports the selection and the comprehension of the class' appropriate identifiers. ...

  19. Analysis of regulatory protease sequences identified through bioinformatic data mining of the Schistosoma mansoni genome

    OpenAIRE

    Minchella Dennis J; Mayfield Chris; Bos David H

    2009-01-01

    Abstract Background New chemotherapeutic agents against Schistosoma mansoni, an etiological agent of human schistosomiasis, are a priority due to the emerging drug resistance and the inability of current drug treatments to prevent reinfection. Proteases have been under scrutiny as targets of immunological or chemotherapeutic anti-Schistosoma agents because of their vital role in many stages of the parasitic life cycle. Function has been established for only a handful of identified S. mansoni ...

  20. Systematic enrichment analysis of gene expression profiling studies identifies consensus pathways implicated in colorectal cancer development

    OpenAIRE

    Jesús Lascorz; Kari Hemminki; Asta Försti

    2011-01-01

    Background: A large number of gene expression profiling (GEP) studies on colorectal carcinogenesis have been performed but no reliable gene signature has been identified so far due to the lack of reproducibility in the reported genes. There is growing evidence that functionally related genes, rather than individual genes, contribute to the etiology of complex traits. We used, as a novel approach, pathway enrichment tools to define functionally related genes that are consistently up- or down-r...

  1. Expression Data Analysis to Identify Biomarkers Associated with Asthma in Children

    OpenAIRE

    Wen Xu

    2014-01-01

    Asthma is characterized by recurrent episodes of wheezing, shortness of breath, chest tightness, and coughing. It is usually caused by a combination of complex and incompletely understood environmental and genetic interactions. We obtained gene expression data with high-throughput screening and identified biomarkers of children's asthma using bioinformatics tools. Next, we explained the pathogenesis of children's asthma from the perspective of gene regulatory networks: DAVID was applied to pe...

  2. Automatic derivation of domain terms and concept location based on the analysis of the identifiers

    OpenAIRE

    Vaclavik, Peter; Poruban, Jaroslav; Mezei, Marek

    2010-01-01

    Developers express the meaning of the domain ideas in specifically selected identifiers and comments that form the target implemented code. Software maintenance requires knowledge and understanding of the encoded ideas. This paper presents a way how to create automatically domain vocabulary. Knowledge of domain vocabulary supports the comprehension of a specific domain for later code maintenance or evolution. We present experiments conducted in two selected domains: application servers and we...

  3. Gene co-expression network analysis identifies porcine genes associated with variation in Salmonella shedding

    OpenAIRE

    Kommadath, Arun; Bao, Hua; Arantes, Adriano S; Plastow, Graham S.; Christopher K Tuggle; Bearson, Shawn MD; Luo Guan, Le; Stothard, Paul

    2014-01-01

    Background Salmonella enterica serovar Typhimurium is a gram-negative bacterium that can colonise the gut of humans and several species of food producing farm animals to cause enteric or septicaemic salmonellosis. While many studies have looked into the host genetic response to Salmonella infection, relatively few have used correlation of shedding traits with gene expression patterns to identify genes whose variable expression among different individuals may be associated with differences in ...

  4. Bayesian meta-analysis for identifying periodically expressed genes in fission yeast cell cycle

    OpenAIRE

    Fan, Xiaodan; Pyne, Saumyadipta; Liu, Jun S

    2010-01-01

    The effort to identify genes with periodic expression during the cell cycle from genome-wide microarray time series data has been ongoing for a decade. However, the lack of rigorous modeling of periodic expression as well as the lack of a comprehensive model for integrating information across genes and experiments has impaired the effort for the accurate identification of periodically expressed genes. To address the problem, we introduce a Bayesian model to integrate multiple independent micr...

  5. Identifying drugs that cause acute thrombocytopenia: an analysis using 3 distinct methods

    OpenAIRE

    Reese, Jessica A.; Li, Xiaoning; Hauben, Manfred; Aster, Richard H.; Bougie, Daniel W.; Curtis, Brian R.; George, James N.; Vesely, Sara K.

    2010-01-01

    Drug-induced immune thrombocytopenia (DITP) is often suspected in patients with acute thrombocytopenia unexplained by other causes, but documenting that a drug is the cause of thrombocytopenia can be challenging. To provide a resource for diagnosis of DITP and for drug safety surveillance, we analyzed 3 distinct methods for identifying drugs that may cause thrombocytopenia. (1) Published case reports of DITP have described 253 drugs suspected of causing thrombocytopenia; using defined clinica...

  6. Genome-wide gene expression analysis identifies K-ras as a regulator of alcohol intake

    OpenAIRE

    Repunte-Canonigo, Vez; van der Stap, Lena D.; Chen, Jihuan; Sabino, Valentina; Wagner, Ulrich; Zorrilla, Eric P.; Schumann, Gunter; Roberts, Amanda J.; Sanna, Pietro Paolo

    2010-01-01

    Adaptations in the anterior cingulate cortex (ACC) have been implicated in alcohol and drug addiction. To identify genes that may contribute to excessive drinking, here we performed microarray analyses in laser microdissected rat ACC after a single or repeated administration of an intoxicating dose of alcohol (3g/kg). Expression of the small G protein K-ras was reduced following both single and repeated alcohol administration. We also observed that voluntary alcohol intake in K-ras heterozygo...

  7. Forensic Application of Microbiological Culture Analysis To Identify Mail Intentionally Contaminated with Bacillus anthracis Spores†

    OpenAIRE

    Beecher, Douglas J.

    2006-01-01

    The discovery of a letter intentionally filled with dried Bacillus anthracis spores in the office of a United States senator prompted the collection and quarantine of all mail in congressional buildings. This mail was subsequently searched for additional intentionally contaminated letters. A microbiological sampling strategy was used to locate heavy contamination within the 642 separate plastic bags containing the mail. Swab sampling identified 20 bags for manual and visual examination. Air s...

  8. A qualitative analysis of aspects of treatment that adolescents with anorexia identify as helpful.

    Science.gov (United States)

    Zaitsoff, Shannon; Pullmer, Rachelle; Menna, Rosanne; Geller, Josie

    2016-04-30

    This study aimed to identify aspects of treatment that adolescents with anorexia nervosa (AN) believe are helpful or unhelpful. Adolescent females receiving treatment for AN or subthreshold AN (n=21) were prompted during semi-structured interviews to generate responses to open-ended questions on what they felt would be most helpful or unhelpful in treating adolescents with eating disorders. Eight codes were developed and the two most frequently endorsed categories were (1) Alliance, where the therapist demonstrates clinical expertise and also expresses interest in the patient (n=21, 100.0%), and (2) Client Involvement in treatment (n=16, 76.2%). These top two categories were shared by participants with AN versus subthreshold AN and participants with high versus low readiness to change their dietary restriction behaviours. Development of the coding scheme and sample participant responses will be discussed. The integration of identified factors into empirically supported treatments for adolescent AN, such as Family-based Treatment, will be considered. This study provides initial information regarding aspects of treatment that adolescents identify as most helpful or unhelpful in their treatment. PMID:27086241

  9. A COMPARISON BETWEEN SINGLE LINKAGE AND COMPLETE LINKAGE IN AGGLOMERATIVE HIERARCHICAL CLUSTER ANALYSIS FOR IDENTIFYING TOURISTS SEGMENTS

    Directory of Open Access Journals (Sweden)

    Noor Rashidah Rashid

    2012-02-01

    Full Text Available Cluster Analysis is a multivariate method in statistics. Agglomerative Hierarchical Cluster Analysis is one of approaches in Cluster Analysis. There are two linkage methods in Agglomerative Hierarchical Cluster Analysis which are Single Linkage and Complete Linkage. The purpose of this study is to compare between Single Linkage and Complete Linkage in Agglomerative Hierarchical Cluster Analysis. The comparison of performances between these linkage methods was shown by using Kruskal-Wallis test. The result of the comparison used for segmenting tourists of Kapas Island. The statistical software SPSS has been applied to analyze data of this research. The result from Kruskal-Wallis test shows Complete Linkage is more useful in identifying tourists segments. Keywords : Agglomerative Hierarchical Cluster Analysis, Single Linkage, Complete Linkage, Kruskal-Wallis test, tourists

  10. Identifiability analysis of rotational diffusion tensor and electronic transition moments measured in time-resolved fluorescence depolarization experiment

    International Nuclear Information System (INIS)

    The subject of this paper is studies of the deterministic identifiability of molecular parameters, such as rotational diffusion tensor components and orientation of electronic transition moments, resulting from the time-resolved fluorescence anisotropy experiment. In the most general case considered, a pair of perpendicularly polarized emissions enables the unique determination of all the rotational diffusion tensor's principal components. The influence of the tensor's symmetry and the associated degeneration of its eigenvalues on the identifiability of the electronic transitions moments is systematically investigated. The analysis reveals that independently of the rotational diffusion tensor's symmetry, the transition moments involved in photoselection and emission processes cannot be uniquely identified without a priori information about their mutual orientation or their orientation with respect to the principal axes of the tensor. Moreover, it is shown that increasing the symmetry of the rotational diffusion tensor deteriorates the degree of the transition moments identifiability. To obtain these results analytically, a novel approach to solve bilinear system of equations for Markov parameters is applied. The effect of the additional information, obtained from fluorescence measurements for different molecular mobilities, to improve the identifiability at various levels of analysis is shown. The effectiveness and reliability of the target analysis method for experimental determination of the molecular parameters is also discussed

  11. A Modified Delphi to Identify the Significant Works Pertaining to the Understanding of Reading Comprehension and Content Analysis of the Identified Works

    Science.gov (United States)

    Zunker, Norma D.; Pearce, Daniel L.

    2012-01-01

    The first part of this study explored the significant works pertaining to the understanding of reading comprehension using a Modified Delphi Method. A panel of reading comprehension experts identified 19 works they considered to be significant to the understanding of reading comprehension. The panel of experts identified the reasons they…

  12. A meta-analysis identifies new loci associated with body mass index in individuals of African ancestry

    NARCIS (Netherlands)

    Monda, Keri L.; Chen, Gary K.; Taylor, Kira C.; Palmer, Cameron; Edwards, Todd L.; Lange, Leslie A.; Ng, Maggie C. Y.; Adeyemo, Adebowale A.; Allison, Matthew A.; Bielak, Lawrence F.; Chen, Guanjie; Graff, Mariaelisa; Irvin, Marguerite R.; Rhie, Suhn K.; Li, Guo; Liu, Yongmei; Liu, Youfang; Lu, Yingchang; Nalls, Michael A.; Sun, Yan V.; Wojczynski, Mary K.; Yanek, Lisa R.; Aldrich, Melinda C.; Ademola, Adeyinka; Amos, Christopher I.; Bandera, Elisa V.; Bock, Cathryn H.; Britton, Angela; Broeckel, Ulrich; Cai, Quiyin; Caporaso, Neil E.; Carlson, Chris S.; Carpten, John; Casey, Graham; Chen, Wei-Min; Chen, Fang; Chen, Yii-Der I.; Chiang, Charleston W. K.; Coetzee, Gerhard A.; Demerath, Ellen; Deming-Halverson, Sandra L.; Driver, Ryan W.; Dubbert, Patricia; Feitosa, Mary F.; Feng, Ye; Freedman, Barry I.; Gillanders, Elizabeth M.; Gottesman, Omri; Guo, Xiuqing; Haritunians, Talin; Harris, Tamara; Harris, Curtis C.; Hennis, Anselm J. M.; Hernandez, Dena G.; McNeill, Lorna H.; Howard, Timothy D.; Howard, Barbara V.; Howard, Virginia J.; Johnson, Karen C.; Kang, Sun J.; Keating, Brendan J.; Kolb, Suzanne; Kuller, Lewis H.; Kutlar, Abdullah; Langefeld, Carl D.; Lettre, Guillaume; Lohman, Kurt; Lotay, Vaneet; Lyon, Helen; Manson, Joann E.; Maixner, William; Meng, Yan A.; Monroe, Kristine R.; Morhason-Bello, Imran; Murphy, Adam B.; Mychaleckyj, Josyf C.; Nadukuru, Rajiv; Nathanson, Katherine L.; Nayak, Uma; N'Diaye, Amidou; Nemesure, Barbara; Wu, Suh-Yuh; Leske, M. Cristina; Neslund-Dudas, Christine; Neuhouser, Marian; Nyante, Sarah; Ochs-Balcom, Heather; Ogunniyi, Adesola; Ogundiran, Temidayo O.; Ojengbede, Oladosu; Olopade, Olufunmilayo I.; Palmer, Julie R.; Ruiz-Narvaez, Edward A.; Palmer, Nicholette D.; Press, Michael F.; Rampersaud, Evandine; Rasmussen-Torvik, Laura J.; Rodriguez-Gil, Jorge L.; Salako, Babatunde; Schadt, Eric E.; Schwartz, Ann G.; Shriner, Daniel A.; Siscovick, David; Smith, Shad B.; Wassertheil-Smoller, Sylvia; Speliotes, Elizabeth K.; Spitz, Margaret R.; Sucheston, Lara; Taylor, Herman; Tayo, Bamidele O.; Tucker, Margaret A.; Van Den Berg, David J.; Edwards, Digna R. Velez; Wang, Zhaoming; Wiencke, John K.; Winkler, Thomas W.; Witte, John S.; Wrensch, Margaret; Wu, Xifeng; Yang, James J.; Levin, Albert M.; Young, Taylor R.; Zakai, Neil A.; Cushman, Mary; Zanetti, Krista A.; Zhao, Jing Hua; Zhao, Wei; Zheng, Yonglan; Zhou, Jie; Ziegler, Regina G.; Zmuda, Joseph M.; Fernandes, Jyotika K.; Gilkeson, Gary S.; Kamen, Diane L.; Hunt, Kelly J.; Spruill, Ida J.; Ambrosone, Christine B.; Ambs, Stefan; Arnett, Donna K.; Atwood, Larry; Becker, Diane M.; Berndt, Sonja I.; Bernstein, Leslie; Blot, William J.; Borecki, Ingrid B.; Bottinger, Erwin P.; Bowden, Donald W.; Burke, Gregory; Chanock, Stephen J.; Cooper, Richard S.; Ding, Jingzhong; Duggan, David; Evans, Michele K.; Fox, Caroline; Garvey, W. Timothy; Bradfield, Jonathan P.; Hakonarson, Hakon; Grant, Struan F. A.; Hsing, Ann; Chu, Lisa; Hu, Jennifer J.; Huo, Dezheng; Ingles, Sue A.; John, Esther M.; Jordan, Joanne M.; Kabagambe, Edmond K.; Kardia, Sharon L. R.; Kittles, Rick A.; Goodman, Phyllis J.; Klein, Eric A.; Kolonel, Laurence N.; Le Marchand, Loic; Liu, Simin; McKnight, Barbara; Millikan, Robert C.; Mosley, Thomas H.; Padhukasahasram, Badri; Williams, L. Keoki; Patel, Sanjay R.; Peters, Ulrike; Pettaway, Curtis A.; Peyser, Patricia A.; Psaty, Bruce M.; Redline, Susan; Rotimi, Charles N.; Rybicki, Benjamin A.; Sale, Michele M.; Schreiner, Pamela J.; Signorello, Lisa B.; Singleton, Andrew B.; Stanford, Janet L.; Strom, Sara S.; Thun, Michael J.; Vitolins, Mara; Zheng, Wei; Moore, Jason H.; Williams, Scott M.; Ketkar, Shamika; Zhu, Xiaofeng; Zonderman, Alan B.; Kooperberg, Charles; Papanicolaou, George J.; Henderson, Brian E.; Reiner, Alex P.; Hirschhorn, Joel N.; Loos, Ruth J. F.; North, Kari E.; Haiman, Christopher A.

    2013-01-01

    Genome-wide association studies (GWAS) have identified 36 loci associated with body mass index (BMI), predominantly in populations of European ancestry. We conducted a meta-analysis to examine the association of >3.2 million SNPs with BMI in 39,144 men and women of African ancestry and followed up t

  13. Identifying What Student Affairs Professionals Value: A Mixed Methods Analysis of Professional Competencies Listed in Job Descriptions

    Science.gov (United States)

    Hoffman, John L.; Bresciani, Marilee J.

    2012-01-01

    This mixed method study explored the professional competencies that administrators expect from entry-, mid-, and senior-level professionals as reflected in 1,759 job openings posted in 2008. Knowledge, skill, and dispositional competencies were identified during the qualitative phase of the study. Statistical analysis of the prevalence of…

  14. Genome-wide association analysis identifies variants associated with nonalcoholic fatty liver disease that have distinct effects on metabolic traits

    DEFF Research Database (Denmark)

    Speliotes, Elizabeth K; Yerges-Armstrong, Laura M; Wu, Jun;

    2011-01-01

    Nonalcoholic fatty liver disease (NAFLD) clusters in families, but the only known common genetic variants influencing risk are near PNPLA3. We sought to identify additional genetic variants influencing NAFLD using genome-wide association (GWA) analysis of computed tomography (CT) measured hepatic...

  15. Genome-Wide Association Analysis Identifies Variants Associated with Nonalcoholic Fatty Liver Disease That Have Distinct Effects on Metabolic Traits

    NARCIS (Netherlands)

    Speliotes, Elizabeth K.; Yerges-Armstrong, Laura M.; Wu, Jun; Hernaez, Ruben; Kim, Lauren J.; Palmer, Cameron D.; Gudnason, Vilmundur; Eiriksdottir, Gudny; Garcia, Melissa E.; Launer, Lenore J.; Nalls, Michael A.; Clark, Jeanne M.; Mitchell, Braxton D.; Shuldiner, Alan R.; Butler, Johannah L.; Tomas, Marta; Hoffmann, Udo; Hwang, Shih-Jen; Massaro, Joseph M.; O'Donnell, Christopher J.; Sahani, Dushyant V.; Salomaa, Veikko; Schadt, Eric E.; Schwartz, Stephen M.; Siscovick, David S.; Voight, Benjamin F.; Carr, J. Jeffrey; Feitosa, Mary F.; Harris, Tamara B.; Fox, Caroline S.; Smith, Albert V.; Kao, W. H. Linda; Hirschhorn, Joel N.; Borecki, Ingrid B.

    2011-01-01

    Nonalcoholic fatty liver disease (NAFLD) clusters in families, but the only known common genetic variants influencing risk are near PNPLA3. We sought to identify additional genetic variants influencing NAFLD using genome-wide association (GWA) analysis of computed tomography (CT) measured hepatic st

  16. Chaperone proteins identified from synthetic proteasome inhibitor-induced inclusions in PC12 cells by proteomic analysis

    Institute of Scientific and Technical Information of China (English)

    Xing'an Li; Yinjiu Zhang; Yihong Hu; Ming Chang; Tao Liu; Danping Wang; Yu Zhang; Lei Zhang; Linsen Hu

    2008-01-01

    Chaperone proteins are significant in Lewy bodies, but the profile of chaperone proteins is incompletely unraveled.Protcomic analysis is used to determine protein candidates for further study. Here, to identify potential chaperone proteins from agent-induced inclusions, we carried out proteomic analysis of artificially synthetic proteasome inhibitor (PSI)-induced inclusions formed in PC12 cells exposed to 10 μM PSI for 48 h. Using biochemical fractionation, 2-D electrophoresis, and identification through peptide mass fingerprints searched against multiple protein databases, we repeatedly identified eight reproducible chaperone proteins from the PSI-induced inclusions. Of these, 58 kDa glucose regulated protein, 75 kDa glucose regulated protein, and caldum-binding protein I were newly identified. The other five had been reported to be consistent components of Lewy bodies. These findings suggested that the three potential chaperone proteins might be recruited to PSI-induced inclusions in PC12 cells under proteasome inhibition.

  17. Large-Scale Analysis of Kinase Signaling in Yeast Pseudohyphal Development Identifies Regulation of Ribonucleoprotein Granules.

    Directory of Open Access Journals (Sweden)

    Christian A Shively

    2015-10-01

    Full Text Available Yeast pseudohyphal filamentation is a stress-responsive growth transition relevant to processes required for virulence in pathogenic fungi. Pseudohyphal growth is controlled through a regulatory network encompassing conserved MAPK (Ste20p, Ste11p, Ste7p, Kss1p, and Fus3p, protein kinase A (Tpk2p, Elm1p, and Snf1p kinase pathways; however, the scope of these pathways is not fully understood. Here, we implemented quantitative phosphoproteomics to identify each of these signaling networks, generating a kinase-dead mutant in filamentous S. cerevisiae and surveying for differential phosphorylation. By this approach, we identified 439 phosphoproteins dependent upon pseudohyphal growth kinases. We report novel phosphorylation sites in 543 peptides, including phosphorylated residues in Ras2p and Flo8p required for wild-type filamentous growth. Phosphoproteins in these kinase signaling networks were enriched for ribonucleoprotein (RNP granule components, and we observe co-localization of Kss1p, Fus3p, Ste20p, and Tpk2p with the RNP component Igo1p. These kinases localize in puncta with GFP-visualized mRNA, and KSS1 is required for wild-type levels of mRNA localization in RNPs. Kss1p pathway activity is reduced in lsm1Δ/Δ and pat1Δ/Δ strains, and these genes encoding P-body proteins are epistatic to STE7. The P-body protein Dhh1p is also required for hyphal development in Candida albicans. Collectively, this study presents a wealth of data identifying the yeast phosphoproteome in pseudohyphal growth and regulatory interrelationships between pseudohyphal growth kinases and RNPs.

  18. Proteomic analysis of exosomes from nasopharyngeal carcinoma cell identifies intercellular transfer of angiogenic proteins

    KAUST Repository

    Chan, Yuk-kit

    2015-04-01

    Exosomes, a group of secreted extracellular nanovesicles containing genetic materials and signaling molecules, play a critical role in intercellular communication. During tumorigenesis, exosomes have been demonstrated to promote tumor angiogenesis and metastasis while their biological functions in nasopharyngeal carcinoma (NPC) are poorly understood. In this study, we focused on the role of NPC-derived exosomes on angiogenesis. Exosomes derived from the NPC C666-1 cells and immortalized nasopharyngeal epithelial cells (NP69 and NP460) were isolated using ultracentrifugation. The molecular profile and biophysical characteristics of exosomes were verified by Western blotting, sucrose density gradient, and electron microscopy. We showed that the C666-1 exosomes (10 and 20 μg/ml) could significantly increase the tubulogenesis, migration and invasion of human umbilical vein endothelial cells (HUVECs) in a dose-dependent manner. Subsequently, an iTRAQ-based quantitative proteomics was used to identify the differentially expressed proteins in C666-1 exosomes. Among the 640 identified proteins, 51 and 89 proteins were considered as up- and down-regulated (≥ 1.5-fold variations) in C666-1 exosomes compared to the normal counterparts, respectively. As expected, pro-angiogenic proteins including intercellular adhesion molecule-1 (ICAM-1) and CD44 variant isoform 5 (CD44v5) are among the up-regulated proteins, whereas angio-suppressive protein, thrombospondin-1 (TSP-1) was down-regulated in C666-1 exosomes. Further confocal microscopic study and Western blotting clearly demonstrated that the alteration of ICAM-1, and TSP-1 expressions in recipient HUVECs are due to internalization of exosomes. Taken together, these data strongly indicated the critical roles of identified angiogenic proteins in the involvement of exosomes-induced angiogenesis, which could potentially be developed as therapeutic targets in future. This article is protected by copyright. All rights reserved.

  19. The Conflict Analysis Framework (CAF) : Identifying Conflict-Related Obstacles to Development

    OpenAIRE

    Shardesai, Shonali; Wam, Per

    2002-01-01

    The Conflict Analysis Framework (CAF), developed by the CPR Unit, aims to integrate sensitivity to conflict in Bank assistance, and to help Bank teams consider factors affecting both conflict and poverty when formulating development strategies, policies, and programs. Conflict sensitive approaches that take account of problem areas and potential sources of conflict may help to prevent the onset, ...

  20. Social Learning Network Analysis Model to Identify Learning Patterns Using Ontology Clustering Techniques and Meaningful Learning

    Science.gov (United States)

    Firdausiah Mansur, Andi Besse; Yusof, Norazah

    2013-01-01

    Clustering on Social Learning Network still not explored widely, especially when the network focuses on e-learning system. Any conventional methods are not really suitable for the e-learning data. SNA requires content analysis, which involves human intervention and need to be carried out manually. Some of the previous clustering techniques need…

  1. Genome-wide meta-analysis identifies multiple novel associations and ethnic heterogeneity of psoriasis susceptibility

    NARCIS (Netherlands)

    Yin, Xianyong; Low, Hui Qi; Wang, Ling; Li, Yonghong; Ellinghaus, Eva; Han, Jiali; Estivill, Xavier; Sun, Liangdan; Zuo, Xianbo; Shen, Changbing; Zhu, Caihong; Zhang, Anping; Sanchez, Fabio; Padyukov, Leonid; Catanese, Joseph J; Krueger, Gerald G; Duffin, Kristina Callis; Mucha, Sören; Weichenthal, Michael; Weidinger, Stephan; Lieb, Wolfgang; Foo, Jia Nee; Li, Yi; Sim, Karseng; Liany, Herty; Irwan, Ishak; Teo, Yikying; Theng, Colin T S; Gupta, Rashmi; Bowcock, Anne; De Jager, Philip L; Qureshi, Abrar A; de Bakker, Paul I W; Seielstad, Mark; Liao, Wilson; Ståhle, Mona; Franke, Andre; Zhang, Xuejun; Liu, Jianjun

    2015-01-01

    Psoriasis is a common inflammatory skin disease with complex genetics and different degrees of prevalence across ethnic populations. Here we present the largest trans-ethnic genome-wide meta-analysis (GWMA) of psoriasis in 15,369 cases and 19,517 controls of Caucasian and Chinese ancestries. We iden

  2. Genome-wide association analysis in primary sclerosing cholangitis identifies two non-HLA susceptibility loci

    NARCIS (Netherlands)

    E. Melum; A. Franke; C. Schramm; T.J. Weismüller; D.N. Gotthardt; F.A. Offner; B.D. Juran; J.K. Laerdahl; V. Labi; E. Björnsson; R.K. Weersma; L. Henckaerts; A. Teufel; C. Rust; E. Ellinghaus; T. Balschun; K.M. Boberg; D. Ellinghaus; A. Bergquist; P. Sauer; E. Ryu; J.R. Hov; J. Wedemeyer; B. Lindkvist; M. Wittig; R.J. Porte; K. Holm; C. Gieger; H.E. Wichmann; P. Stokkers; C.Y. Ponsioen; H. Runz; A. Stiehl; C. Wijmenga; M. Sterneck; S. Vermeire; U. Beuers; A. Villunger; E. Schrumpf; K.N. Lazaridis; M.P. Manns; S. Schreiber; T.H. Karlsen

    2011-01-01

    Primary sclerosing cholangitis (PSC) is a chronic bile duct disease affecting 2.4-7.5% of individuals with inflammatory bowel disease. We performed a genome-wide association analysis of 2,466,182 SNPs in 715 individuals with PSC and 2,962 controls, followed by replication in 1,025 PSC cases and 2,17

  3. Exploratory Data Analysis to Identify Factors Influencing Spatial Distributions of Weed Seed Banks

    Science.gov (United States)

    Comparing distributions of different species in multiple fields will help us understand the spatial dynamics of weed seed banks, but analyzing observational data requires non-traditional statistical methods. We used classification and regression tree analysis (CART) to investigate factors that influ...

  4. Genome-wide meta-analysis identifies six novel loci associated with habitual coffee consumption

    NARCIS (Netherlands)

    Cornelis, M. C.; Byrne, E. M.; Esko, T.; Nalls, M. A.; Ganna, A.; Paynter, N.; Monda, K. L.; Amin, N.; Fischer, K.; Renstrom, F.; Ngwa, J. S.; Huikari, V.; Cavadino, A.; Nolte, I. M.; Teumer, A.; Yu, K.; Marques-Vidal, P.; Rawal, R.; Manichaikul, A.; Wojczynski, M. K.; Vink, J. M.; Zhao, J. H.; Burlutsky, G.; Lahti, J.; Mikkila, V.; Lemaitre, R. N.; Eriksson, J.; Musani, S. K.; Tanaka, T.; Geller, F.; Luan, J.; Hui, J.; Maegi, R.; Dimitriou, M.; Garcia, M. E.; Ho, W-K; Wright, M. J.; Rose, L. M.; Magnusson, P. K. E.; Pedersen, N. L.; Couper, D.; Oostra, B. A.; Hofman, A.; Ikram, M. A.; Tiemeier, H. W.; Uitterlinden, A. G.; van Rooij, F. J. A.; Barroso, I.; Johansson, I.; Xue, L.; Kaakinen, M.; Milani, L.; Power, C.; Snieder, H.; Stolk, R. P.; Baumeister, S. E.; Biffar, R.; Gu, F.; Bastardot, F.; Kutalik, Z.; Jacobs, D. R.; Forouhi, N. G.; Mihailov, E.; Lind, L.; Lindgren, C.; Michaelsson, K.; Morris, A.; Jensen, M.; Khaw, K-T; Luben, R. N.; Wang, J. J.; Mannisto, S.; Perala, M-M; Kahonen, M.; Lehtimaki, T.; Viikari, J.; Mozaffarian, D.; Mukamal, K.; Psaty, B. M.; Doering, A.; Heath, A. C.; Montgomery, G. W.; Dahmen, N.; Carithers, T.; Tucker, K. L.; Ferrucci, L.; Boyd, H. A.; Melbye, M.; Treur, J. L.; Mellstrom, D.; Hottenga, J. J.; Prokopenko, I.; Toenjes, A.; Deloukas, P.; Kanoni, S.; Lorentzon, M.; Houston, D. K.; Liu, Y.; Danesh, J.; Rasheed, A.; Mason, M. A.; Zonderman, A. B.; Franke, L.; Kristal, B. S.; Karjalainen, J.; Reed, D. R.; Westra, H-J; Evans, M. K.; Saleheen, D.; Harris, T. B.; Dedoussis, G.; Curhan, G.; Stumvoll, M.; Beilby, J.; Pasquale, L. R.; Feenstra, B.; Bandinelli, S.; Ordovas, J. M.; Chan, A. T.; Peters, U.; Ohlsson, C.; Gieger, C.; Martin, N. G.; Waldenberger, M.; Siscovick, D. S.; Raitakari, O.; Eriksson, J. G.; Mitchell, P.; Hunter, D. J.; Kraft, P.; Rimm, E. B.; Boomsma, D. I.; Borecki, I. B.; Loos, R. J. F.; Wareham, N. J.; Vollenweider, P.; Caporaso, N.; Grabe, H. J.; Neuhouser, M. L.; Wolffenbuttel, B. H. R.; Hu, F. B.; Hyppoenen, E.; Jarvelin, M-R; Cupples, L. A.; Franks, P. W.; Ridker, P. M.; van Duijn, C. M.; Heiss, G.; Metspalu, A.; North, K. E.; Ingelsson, E.; Nettleton, J. A.; van Dam, R. M.; Chasman, D. I.

    2015-01-01

    Coffee, a major dietary source of caffeine, is among the most widely consumed beverages in the world and has received considerable attention regarding health risks and benefits. We conducted a genome-wide (GW) meta-analysis of predominately regular-type coffee consumption (cups per day) among up to

  5. Genome-wide meta-analysis identifies six novel loci associated with habitual coffee consumption

    NARCIS (Netherlands)

    M. Cornelis (Marilyn); E.M. Byrne; T. Esko (Tõnu); M.A. Nalls (Michael); A. Ganna (Andrea); N.P. Paynter (Nina); K.L. Monda (Keri); N. Amin; K. Fischer (Krista); F. Renström (Frida); J.S. Ngwa; V. Huikari (Ville); A. Cavadino (Alana); I.M. Nolte (Ilja M.); A. Teumer (Alexander); K. Yu; P. Marques-Vidal; R. Rawal; A. Manichaikul (Ani); M.K. Wojczynski (Mary ); J.M. Vink; J.H. Zhao; G. Burlutsky (George); J. Lahti (Jari); V. Mikkilä (Vera); R.N. Lemaitre (Rozenn ); J. Eriksson; S. Musani (Solomon); T. Tanaka; F. Geller (Frank); J. Luan; J. Hui; R. Mägi (Reedik); M. Dimitriou (Maria); M. Garcia (Melissa); W.-K. Ho; M.J. Wright (Margaret); L.M. Rose (Lynda M.); P.K.E. Magnusson (Patrik K. E.); N.L. Pedersen (Nancy L.); D.J. Couper (David); B.A. Oostra (Ben); A. Hofman (Albert); M.A. Ikram (Arfan); H.W. Tiemeier (Henning); A.G. Uitterlinden (André); F.J.A. van Rooij (Frank); I. Barroso; I. Johansson (Ingegerd); L. Xue (Luting); M. Kaakinen (Marika); L. Milani (Lili); C. Power (Christine); H. Snieder (Harold); R.P. Stolk; S.E. Baumeister (Sebastian); R. Biffar; F. Gu; F. Bastardot (Francois); Z. Kutalik; D.R. Jacobs (David); N.G. Forouhi (Nita G.); E. Mihailov (Evelin); L. Lind (Lars); C. Lindgren; K. Michaëlsson; A.P. Morris (Andrew); M.K. Jensen (Majken K.); K.T. Khaw; R.N. Luben (Robert); J.J. Wang; S. Männistö (Satu); M.-M. Perälä; M. Kähönen (Mika); T. Lehtimäki (Terho); J. Viikari (Jorma); D. Mozaffarian; K. Mukamal (Kenneth); B.M. Psaty (Bruce); A. Döring; A.C. Heath (Andrew C.); G.W. Montgomery (Grant W.); N. Dahmen (N.); T. Carithers; K.L. Tucker; L. Ferrucci (Luigi); H.A. Boyd; M. Melbye (Mads); J.L. Treur; D. Mellström (Dan); J.J. Hottenga (Jouke Jan); I. Prokopenko (Inga); A. Tönjes (Anke); P. Deloukas (Panagiotis); S. Kanoni (Stavroula); M. Lorentzon (Mattias); D.K. Houston; Y. Liu; J. Danesh (John); A. Rasheed; M.A. Mason; A.B. Zonderman; L. Franke (Lude); B.S. Kristal; J. Karjalainen (Juha); D.R. Reed; H.-J. Westra; M.K. Evans; D. Saleheen; T.B. Harris (Tamara B.); G.V. Dedoussis (George V.); G.C. Curhan (Gary); M. Stumvoll (Michael); J. Beilby (John); L.R. Pasquale; B. Feenstra; S. Bandinelli; J.M. Ordovas; A.T. Chan; U. Peters (Ulrike); C. Ohlsson (Claes); C. Gieger (Christian); N.G. Martin (Nicholas); M. Waldenberger (Melanie); D.S. Siscovick (David); O. Raitakari (Olli); J.G. Eriksson (Johan G.); P. Mitchell (Paul); D. Hunter (David); P. Kraft (Peter); E.B. Rimm (Eric B.); D.I. Boomsma (Dorret); I.B. Borecki (Ingrid); R.J.F. Loos (Ruth J.F.); N.J. Wareham (Nick); P.K. Vollenweider (Peter K.); N. Caporaso; H.J. Grabe (Hans Jörgen); M.L. Neuhouser (Marian L.); B.H.R. Wolffenbuttel (Bruce H. R.); F.B. Hu (Frank); E. Hypponen (Elina); M.-R. Jarvelin (Marjo-Riitta); L.A. Cupples (Adrienne); P.W. Franks; P.M. Ridker (Paul); C.M. Van Duijn (Cornelia M.); G. Heiss (Gerardo); A. Metspalu (Andres); K.E. North (Kari); E. Ingelsson (Erik); J.A. Nettleton; R.M. van Dam (Rob); D.I. Chasman (Daniel)

    2015-01-01

    textabstractCoffee, a major dietary source of caffeine, is among the most widely consumed beverages in the world and has received considerable attention regarding health risks and benefits. We conducted a genome-wide (GW) meta-analysis of predominately regular-type coffee consumption (cups per day)

  6. Multiparameter Analysis of Human Bone Marrow Stromal Cells Identifies Distinct Immunomodulatory and Differentiation-Competent Subtypes

    NARCIS (Netherlands)

    S. James (Sally); J. Fox (James); F. Afsari (Farinaz); J. Lee (Jennifer); S. Clough (Sally); C. Knight (Charlotte); J. Ashmore (James); P. Ashton (Peter); O. Preham (Olivier); M.J. Hoogduijn (Martin); R.D.A.R. Ponzoni (Raquel De Almeida Rocha); Y. Hancock; M. Coles (Mark); P.G. Genever (Paul)

    2015-01-01

    textabstractBone marrow stromal cells (BMSCs, also called bone-marrow-derived mesenchymal stromal cells) provide hematopoietic support and immunoregulation and contain a stem cell fraction capable of skeletogenic differentiation. We used immortalized human BMSC clonal lines for multi-level analysis

  7. Identifying Students with Learning Disabilities: Composite Profile Analysis Using the Cognitive Assessment System

    Science.gov (United States)

    Huang, Leesa V.; Bardos, Achilles N.; D'Amato, Rik Carl

    2010-01-01

    The detection of cognitive patterns in children with learning disabilities (LD) has been a priority in the identification process. Subtest profile analysis from traditional cognitive assessment has drawn sharp criticism for inaccurate identification and weak connections to educational planning. Therefore, the purpose of this study is to use a new…

  8. Large-scale gene-centric analysis identifies novel variants for coronary artery disease

    NARCIS (Netherlands)

    Butterworth, A.S.; Braund, P.S.; Hardwick, R.J.; Saleheen, D.; Peden, J.F.; Soranzo, N.; Chambers, J.C.; Kleber, M.E.; Keating, B.; Qasim, A.; Klopp, N.; Erdmann, J.; Basart, H.; Baumert, J.H.; Bezzina, C.R.; Boehm, B.O.; Brocheton, J.; Bugert, P.; Cambien, F.; Collins, R.; Couper, D.; Jong, J.S. de; Diemert, P.; Ejebe, K.; Elbers, C.C.; Elliott, P.; Fornage, M.; Frossard, P.; Garner, S.; Hunt, S.E.; Kastelein, J.J.; Klungel, O.H.; Kluter, H.; Koch, K.; Konig, I.R.; Kooner, A.S.; Liu, K.; McPherson, R.; Musameh, M.D.; Musani, S.; Papanicolaou, G.; Peters, A.; Peters, B.J.; Potter, S.; Psaty, B.M.; Rasheed, A.; Scott, J.; Seedorf, U.; Sehmi, J.S.; Sotoodehnia, N.; Stark, K.; Stephens, J.; Schoot, C.E. van der; Schouw, Y.T. van der; Harst, P. van der; Vasan, R.S.; Wilde, A.A.; Willenborg, C.; Winkelmann, B.R.; Zaidi, M.; Zhang, W.; Ziegler, A.; Koenig, W.; Matz, W.; Trip, M.D.; Reilly, M.P.; Kathiresan, S.; Schunkert, H.; Hamsten, A.; Hall, A.S.; Kooner, J.S.; Thompson, S.G.; Thompson, J.R.; Watkins, H.; Danesh, J.; Barnes, T.; Rafelt, S.; Codd, V.; Bruinsma, N.; Dekker, L.R.; Henriques, J.P.; Koch, K.T.; Winter, R.J. de; Alings, M.; Allaart, C.F.; Gorgels, A.P.; Verheugt, F.W.A.; Mueller, M.; Meisinger, C.; DerOhannessian, S.; Mehta, N.N.; Ferguson, J.; Hakonarson, H.; Matthai, W.; Wilensky, R.; Hopewell, J.C.; Parish, S.; Linksted, P.; Notman, J.; Gonzalez, H.; Young, A.; Ostley, T.; Munday, A.; Goodwin, N.; Verdon, V.; Shah, S.; Edwards, C.; Mathews, C.; Gunter, R.; Benham, J.; Davies, C.; Cobb, M.; Cobb, L.; Crowther, J.; Richards, A.; Silver, M.; Tochlin, S.; Mozley, S.; Clark, S.; Radley, M.; Kourellias, K.; Olsson, P.; Barlera, S.; Tognoni, G.; Rust, S.; Assmann, G.; Heath, S.; Zelenika, D.; Gut, I.; Green, F.; Farrall, M.; Peden, J.; Goel, A.; Ongen, H.; Franzosi, M.G.; Lathrop, M.; Clarke, R.; Aly, A.; Anner, K.; Bjorklund, K.; Blomgren, G.; Cederschiold, B.; Danell-Toverud, K.; Eriksson, P.; Grundstedt, U.; Heinonen, M.; Hellenius, M.L.; Hooft, F. van 't; Husman, K.; Lagercrantz, J.; Larsson, A.; Larsson, M.; Mossfeldt, M.; Malarstig, A.; Olsson, G.; Sabater-Lleal, M.; Sennblad, B.; Silveira, A.; Strawbridge, R.; Soderholm, B.; Ohrvik, J.; Zaman, K.S.; Mallick, N.H.; Azhar, M.; Samad, A.; Ishaq, M.; Shah, N.; Samuel, M.; Kathiresan, S.C.; Reilly, M.; Assimes, T.L.; Holm, H.; Preuss, M.; Stewart, A.F.; Barbalic, M.; Gieger, C.; Absher, D.; Aherrahrou, Z.; Allayee, H.; Altshuler, D.; Anand, S.; Andersen, K.; Anderson, J.L.; Ardissino, D.; Ball, S.G.; Balmforth, A.J.; Barnes, T.A.; Becker, L.C.; Becker, D.M.; Berger, K.; Bis, J.C.; Boekholdt, S.M.; Boerwinkle, E.; Brown, M.J.; Burnett, M.S.; Buysschaert, I.; Carlquist, J.F.; Chen, L.; Davies, R.W.; Dedoussis, G.; Dehghan, A.; Demissie, S.; Devaney, J.; Do, R.; Doering, A.; El Mokhtari, N.E.; Ellis, S.G.; Elosua, R.; Engert, J.C.; Epstein, S.; Faire, U. de; Fischer, M.; Folsom, A.R.; Freyer, J.; Gigante, B.; Girelli, D.; Gretarsdottir, S.; Gudnason, V.; Gulcher, J.R.; Tennstedt, S.; Halperin, E.; Hammond, N.; Hazen, S.L.; Hofman, A.; Horne, B.D.; Illig, T.; Iribarren, C.; Jones, G.T.; Jukema, J.W.; Kaiser, M.A.; Kaplan, L.M.; Khaw, K.T.; Knowles, J.W.; Kolovou, G.; Kong, A.; Laaksonen, R.; Lambrechts, D.; Leander, K.; Li, M.; Lieb, W.; Lettre, G.; Loley, C.; Lotery, A.J.; Mannucci, P.M.; Martinelli, N.; McKeown, P.P.; Meitinger, T.; Melander, O.; Merlini, P.A.; Mooser, V.; Morgan, T.; Muhleisen T.W., .; Muhlestein, J.B.; Musunuru, K.; Nahrstaedt, J.; Nothen, M.M.; Olivieri, O.; Peyvandi, F.; Patel, R.S.; Patterson, C.C.; Qu, L.; Quyyumi, A.A.; Rader, D.J.; Rallidis, L.S.; Rice, C.; Roosendaal, F.R.; Rubin, D.; Salomaa, V.; Sampietro, M.L.; Sandhu, M.S.; Schadt, E.; Schafer, A.; Schillert, A.; Schreiber, S.; Schrezenmeir, J.; Schwartz, S.M.; Siscovick, D.S.; Sivananthan, M.; Sivapalaratnam, S.; Smith, A.V.; Smith, T.B.; Snoep, J.D.; Spertus, J.A.; Stefansson, K.; Stirrups, K.; Stoll, M.; Tang, W.H.; Thorgeirsson, G.; Thorleifsson, G.; Tomaszewski, M.; Uitterlinden, A.G.; Rij, A.M. van; Voight, B.F.; Wareham, N.J.; AWells, G.; Wichmann, H.E.; Witteman, J.C.; Wright, B.J.; Ye, S.; Cupples, L.A.; Quertermous, T.; Marz, W.; Blankenberg, S.; Thorsteinsdottir, U.; Roberts, R.; O'Donnell, C.J.; Onland-Moret, N.C.; Setten, J. van; Bakker, P.I. de; Verschuren, W.M.; Boer, J.M.; Wijmenga, C.; Hofker, M.H.; Maitland-van der Zee, A.H.; Boer, A. de; Grobbee, D.E.; Attwood, T.; Belz, S.; Cooper, J.; Crisp-Hihn, A.; Deloukas, P.; Foad, N.; Goodall, A.H.; Gracey, J.; Gray, E.; Gwilliams, R.; Heimerl, S.; Hengstenberg, C.; Jolley, J.; Krishnan, U.; Lloyd-Jones, H.; Lugauer, I.; Lundmark, P.; Maouche, S.; Moore, J.S.; Muir, D.; Murray, E.; Nelson, C.P.; Neudert, J.; Niblett, D.; O'Leary, K.; Ouwehand, W.H.; Pollard, H.; Rankin, A.; Rice, C.M.; Sager, H.; Samani, N.J.; Sambrook, J.; Schmitz, G.; Scholz, M.; Schroeder, L.; Syvannen, A.C.; Wallace, C.

    2011-01-01

    Coronary artery disease (CAD) has a significant genetic contribution that is incompletely characterized. To complement genome-wide association (GWA) studies, we conducted a large and systematic candidate gene study of CAD susceptibility, including analysis of many uncommon and functional variants. W

  9. Genome-wide association analysis identifies three new susceptibility loci for childhood body mass index

    DEFF Research Database (Denmark)

    Felix, Janine F; Bradfield, Jonathan P; Monnereau, Claire;

    2016-01-01

    A large number of genetic loci are associated with adult body mass index. However, the genetics of childhood body mass index are largely unknown. We performed a meta-analysis of genome-wide association studies of childhood body mass index, using sex- and age-adjusted standard deviation scores. We...

  10. Identifying blue whiting (Micromesistius poutassou) stock structure in the Northeast Atlantic by otolith shape analysis

    DEFF Research Database (Denmark)

    Mahe, Kélig; Oudard, Clémence; Mille, Tiphaine;

    2016-01-01

    Information on stock identification and spatial stock structure provide a basis for understanding fish population dynamics and improving fisheries management. In this study, otolith shape analysis was used to study the stock structure of blue whiting (Micromesistius poutassou) in the northeast At...

  11. A genome-wide association meta-analysis identifies new childhood obesity loci

    DEFF Research Database (Denmark)

    Bradfield, Jonathan P; Taal, H Rob; Timpson, Nicholas J;

    2012-01-01

    Multiple genetic variants have been associated with adult obesity and a few with severe obesity in childhood; however, less progress has been made in establishing genetic influences on common early-onset obesity. We performed a North American, Australian and European collaborative meta-analysis of...

  12. Genome-wide association analysis identifies six new loci associated with forced vital capacity

    NARCIS (Netherlands)

    D.W. Loth (Daan); M.S. Artigas; S.A. Gharib (Sina); L.V. Wain (Louise); N. Franceschini (Nora); B. Koch (Beate); T.D. Pottinger (Tess); G.D. Smith; Q. Duan (Qing); C. Oldmeadow (Christopher); M.K. Lee (Mi Kyeong); D.P. Strachan (David); A.L. James (Alan); J.E. Huffman (Jennifer); V. Vitart (Veronique); A. Ramasamy (Adaikalavan); N.J. Wareham (Nick); J. Kaprio (Jaakko); X.-Q. Wang (Xin-Qun); H. Trochet (Holly); M. Kähönen (Mika); C. Flexeder (Claudia); E. Albrecht (Eva); L.M. Lopez (Lorna); B. Thyagarajan (Bharat); A.C. Alves (Alexessander Couto); S. Enroth (Stefan); E. Omenaas (Ernst); P.K. Joshi (Peter); M. Fall (Magnus); A. Viñuela (Ana); L.J. Launer (Lenore); L.R. Loehr (Laura); M. Fornage (Myriam); G. Li (Guo); J.B. Wilk (Jemma); W. Tang (Wenbo); A. Manichaikul (Ani); L. Lahousse (Lies); T.B. Harris (Tamara); K.E. North (Kari); A.R. Rudnicka (Alicja); J. Hui (Jennie); X. Gu (Xiangjun); T. Lumley (Thomas); A.F. Wright (Alan); N. Hastie (Nick); S. Campbell (Susan); R. Kumar (Rajesh); I. Pin (Isabelle); R.A. Scott (Robert); K.H. Pietilainen (Kirsi Hannele); I. Surakka (Ida); Y. Liu (Yongmei); E.G. Holliday (Elizabeth); H. Schulz (Holger); J. Heinrich (Joachim); G. Davies (Gail); J.M. Vonk (Judith); M.K. Wojczynski (Mary ); A. Pouta (Anneli); A. Johansson (Åsa); S.H. Wild (Sarah); E. Ingelsson (Erik); F. Rivadeneira Ramirez (Fernando); H. Völzke (Henry); P.G. Hysi (Pirro); G. Eiriksdottir (Gudny); A.C. Morrison (Alanna); J.I. Rotter (Jerome); W. Gao (Wei); D.S. Postma (Dirkje); W.B. White (Wendy); S.S. Rich (Stephen); A. Hofman (Albert); T. Aspelund (Thor); D. Couper (David); L.J. Smith (Lewis); B.M. Psaty (Bruce); K. Lohman (Kurt); E.G. Burchard (Esteban); A.G. Uitterlinden (André); M. Garcia (Melissa); B.R. Joubert (Bonnie); W.L. McArdle (Wendy); A.W. Musk (Arthur); C.R.W. Hansel (Christian); S.R. Heckbert (Susan); L. Zgaga (Lina); J.B.J. van Meurs (Joyce); P. Navarro (Pau); I. Rudan (Igor); Y.-M. Oh (Yeon-Mok); S. Redline (Susan); D.L. Jarvis (Deborah); J.H. Zhao (Jing); T. Rantanen (Taina); G.T. O'Connor (George); S. Ripatti (Samuli); R.J. Scott (Rodney); S. Karrasch (Stefan); H. Grallert (Harald); N.C. Gaddis (Nathan); J.M. Starr (John); C. Wijmenga (Cisca); R.L. Minster (Ryan); C.W. Lederer (Carsten); J. Pekkanen (Juha); U. Gyllensten (Ulf); H. Campbell (Harry); A.P. Morris (Andrew); S. Gläser (Sven); C.J. Hammond (Christopher); K.M. Burkart (Kristin); J.P. Beilby (John); S.B. Kritchevsky (Stephen); V. Gudnason (Vilmundur); D.B. Hancock (Dana); O.D. Williams (Dale); O. Polasek (Ozren); T. Zemunik (Tatijana); I. Kolcic (Ivana); M.F. Petrini (Marcy); K.T. de Jong (Kim); M. Wjst (Matthias); W.H. Kim (Woo); D.J. Porteous (David J.); G. Scotland (Generation); B.H. Smith (Blair); A. Viljanen (Anne); M. Heliovaara (Markku); J. Attia (John); I. Sayers (Ian); R. Hampel (Regina); C. Gieger (Christian); I.J. Deary (Ian); H.M. Boezen (H. Marike); A.B. Newman (Anne); M.-R. Jarvelin (Marjo-Riitta); J.F. Wilson (James); L. Lind (Lars); B.H.Ch. Stricker (Bruno); A. Teumer (Alexander); T.D. Spector (Timothy); E. Melén (Erik); M.J. Peters (Marjolein); L.A. Lange (Leslie); R.G. Barr (Graham); K.R. Bracke (Ken); F.M. Verhamme (Fien); J. Sung (Joohon); P.S. Hiemstra (Pieter); P.A. Cassano (Patricia); A. Sood (Akshay); C. Hayward (Caroline); J. Dupuis (Josée); I.P. Hall (Ian); G.G. Brusselle (Guy); M.D. Tobin (Martin); S.J. London (Stephanie)

    2014-01-01

    textabstractForced vital capacity (FVC), a spirometric measure of pulmonary function, reflects lung volume and is used to diagnose and monitor lung diseases. We performed genome-wide association study meta-analysis of FVC in 52,253 individuals from 26 studies and followed up the top associations in

  13. Genome-wide association analysis identifies six new loci associated with forced vital capacity

    NARCIS (Netherlands)

    Loth, Daan W.; Artigas, Maria Soler; Gharib, Sina A.; Wain, Louise V.; Franceschini, Nora; Koch, Beate; Pottinger, Tess D.; Smith, Albert Vernon; Duan, Qing; Oldmeadow, Chris; Lee, Mi Kyeong; Strachan, David P.; James, Alan L.; Huffman, Jennifer E.; Vitart, Veronique; Ramasamy, Adaikalavan; Wareham, Nicholas J.; Kaprio, Jaakko; Wang, Xin-Qun; Trochet, Holly; Kaonen, Mika; Flexeder, Claudia; Albrecht, Eva; Lopez, Lorna M.; de Jong, Kim; Thyagarajan, Bharat; Alves, Alexessander Couto; Enroth, Stefan; Omenaas, Ernst; Joshi, Peter K.; Fall, Tove; Vinuela, Ana; Launer, Lenore J.; Loehr, Laura R.; Fornage, Myriam; Li, Guo; Wik, Jemma B.; Tang, Wenbo; Manichaikul, Ani; Lahousse, Lies; Harris, Tamara B.; North, Kari E.; Rudnicka, Alicja R.; Hui, Jennie; Gu, Xiangjun; Lumley, Thomas; Wright, Alan F.; Hastie, Nicholas D.; Campbell, Susan; Kumar, Rajesh; Pin, Isabelle; Scott, Robert A.; Pietilainen, Kirsi H.; Surakka, Ida; Liu, Yongmei; Holliday, Elizabeth G.; Schulz, Holger; Heinrich, Joachim; Davies, Gail; Vonk, Judith M.; Wojczynski, Mary; Pouta, Anneli; Johansson, Asa; Wild, Sarah H.; Ingelsson, Erik; Rivadeneira, Fernando; Voezke, Henry; Hysi, Pirro G.; Eiriksdottir, Gudny; Morrison, Alanna C.; Rotter, Jerome I.; Gao, Wei; Postma, Dirkje S.; White, Wendy B.; Rich, Stephen S.; Hofman, Albert; Aspelund, Thor; Couper, David; Smith, Lewis J.; Psaty, Bruce M.; Lohman, Kurt; Burchard, Esteban G.; Uitterlinden, Andre G.; Garcia, Melissa; Joubert, Bonnie R.; McArdle, Wendy L.; Musk, A. Bill; Hansel, Nadia; Heckbert, Susan R.; Zgaga, Lina; van Meurs, Joyce B. J.; Navarro, Pau; Rudan, Igor; Oh, Yeon-Mok; Redline, Susan; Jarvis, Deborah L.; Rantanen, Taina; O'Connor, George T.; Ripatti, Samuli; Scott, Rodney J.; Karrasch, Stefan; Grallert, Harald; Gaddis, Nathan C.; Starr, John M.; Wijmenga, Cisca; Minster, Ryan L.; Lederer, David J.; Pekkanen, Juha; Gyllensten, Ulf; Campbe, Harry; Morris, Andrew P.; Glaeser, Sven; Hammond, Christopher J.; Burkart, Kristin M.; Beilby, John; Kritchevsky, Stephen B.; Gucinason, Vilrnundur; Hancock, Dana B.; Williams, Dale; Polasek, Ozren; Zemunik, Tatijana; Kolcic, Ivana; Petrini, Marcy F.; Wjst, Matthias; Kim, Woo Jin; Porteous, David J.; Scotland, Generation; Smith, Blair H.; Villanen, Anne; Heliovaara, Markku; Attia, John R.; Sayers, Ian; Hampel, Regina; Gieger, Christian; Deary, Ian J.; Boezen, Hendrika; Newman, Anne; Jarvelin, Marjo-Riitta; Wilson, James F.; Lind, Lars; Stricker, Bruno H.; Teumer, Alexander; Spector, Timothy D.; Melen, Erik; Peters, Marjolein J.; Lange, Leslie A.; Barr, R. Graham; Bracke, Ken R.; Verhamme, Fien M.; Sung, Joohon; Hiemstra, Pieter S.; Cassano, Patricia A.; Sood, Akshay; Hayward, Caroline; Dupuis, Josee; Hall, Ian P.; Brusselle, Guy G.; Tobin, Martin D.; London, Stephanie J.

    2014-01-01

    Forced vital capacity (FVC), a spirometric measure of pulmonary function, reflects lung volume and is used to diagnose and monitor lung diseases. We performed genome-wide association study meta-analysis of FVC in 52,253 individuals from 26 studies and followed up the top associations in 32,917 addit

  14. A method for identifying compromised clients based on DNS traffic analysis

    DEFF Research Database (Denmark)

    Stevanovic, Matija; Pedersen, Jens Myrup; D’Alconzo, Alessandro;

    2016-01-01

    DNS is widely abused by Internet criminals in order to provide reliable communication within malicious network infrastructure as well as flexible and resilient hosting of malicious content. This paper presents a novel detection method that can be used for identifying potentially compromised clients...... domain-to-IP mappings, thus assisting in pinpointing potentially compromised clients within the network. The proposed approach targets compromised clients in large-scale operational networks. We have evaluated the proposed approach using an extensive set of DNS traffic traces from different operational...

  15. A meta-analysis of genome-wide association studies identifies novel variants associated with osteoarthritis of the hip

    OpenAIRE

    Evangelou, Evangelos; Kerkhof, Hanneke J.; Styrkarsdottir, Unnur; Ntzani, Evangelia E; Bos, Steffan D.; Esko, Tonu; Evans, Daniel S.; Metrustry, Sarah; Panoutsopoulou, Kalliope; Ramos, Yolande F M; Thorleifsson, Gudmar; Tsilidis, Konstantinos K.; ,; Arden, Nigel; Aslam, Nadim

    2013-01-01

    Objectives Osteoarthritis (OA) is the most common form of arthritis with a clear genetic component. To identify novel loci associated with hip OA we performed a meta-analysis of genome-wide association studies (GWAS) on European subjects. Methods We performed a two-stage meta-analysis on more than 78 000 participants. In stage 1, we synthesised data from eight GWAS whereas data from 10 centres were used for ‘in silico’ or ‘de novo’ replication. Besides the main analysis, a stratified by sex a...

  16. A meta-analysis of genome-wide association studies identifies novel variants associated with osteoarthritis of the hip.

    OpenAIRE

    Evangelou, Evangelos; Kerkhof, Hanneke; Styrkarsdottir, Unnur; Ntzani, Evangelia; Bos, Steffan; Esko, Tõnu; Evans, Daniel; Metrustry, Sarah; Panoutsopoulou, Kalliope; Ramos, Yolande; Thorleifsson, Gudmar; Tsilidis, Konstantinos; Arden, Nigel; Aslam, Nadim; Bellamy, Nicholas

    2014-01-01

    Objectives Osteoarthritis (OA) is the most common form of arthritis with a clear genetic component. To identify novel loci associated with hip OA we performed a meta-analysis of genome-wide association studies (GWAS) on European subjects. Methods We performed a two-stage meta-analysis on more than 78 000 participants. In stage 1, we synthesised data from eight GWAS whereas data from 10 centres were used for 'in silico' or 'de novo' replication. Besides the main analysis, a str...

  17. Integrated expression analysis of muscle hypertrophy identifies Asb2 as a negative regulator of muscle mass

    Science.gov (United States)

    Davey, Jonathan R.; Watt, Kevin I.; Parker, Benjamin L.; Chaudhuri, Rima; Ryall, James G.; Cunningham, Louise; Qian, Hongwei; Sartorelli, Vittorio; Sandri, Marco; Chamberlain, Jeffrey; James, David E.; Gregorevic, Paul

    2016-01-01

    The transforming growth factor-β (TGF-β) signaling network is a critical regulator of skeletal muscle mass and function and, thus, is an attractive therapeutic target for combating muscle disease, but the underlying mechanisms of action remain undetermined. We report that follistatin-based interventions (which modulate TGF-β network activity) can promote muscle hypertrophy that ameliorates aging-associated muscle wasting. However, the muscles of old sarcopenic mice demonstrate reduced response to follistatin compared with healthy young-adult musculature. Quantitative proteomic and transcriptomic analyses of young-adult muscles identified a transcription/translation signature elicited by follistatin exposure, which included repression of ankyrin repeat and SOCS box protein 2 (Asb2). Increasing expression of ASB2 reduced muscle mass, thereby demonstrating that Asb2 is a TGF-β network–responsive negative regulator of muscle mass. In contrast to young-adult muscles, sarcopenic muscles do not exhibit reduced ASB2 abundance with follistatin exposure. Moreover, preventing repression of ASB2 in young-adult muscles diminished follistatin-induced muscle hypertrophy. These findings provide insight into the program of transcription and translation events governing follistatin-mediated adaptation of skeletal muscle attributes and identify Asb2 as a regulator of muscle mass implicated in the potential mechanistic dysfunction between follistatin-mediated muscle growth in young and old muscles.

  18. Behavior Analysis in a learning Environment to Identify the Suitable Learning Style

    Directory of Open Access Journals (Sweden)

    Abdelaziz . K. Hamada

    2011-04-01

    Full Text Available Personalized adaptive systems rely heavily on the learning style and the learner's behavior.Due to traditional teaching methods and high learner/teacher ratios, a teacher faces great obstacles inthe classroom. In these methods, teachers deliver the content and learners just receive it. Moreover,teachers can’t cope with the individual differences among learners. This weakness may be attributed tovarious reasons such as the high number of learners accommodated in each classroom and the lowteaching skills of the teacher himself/herself, Therefore, identifying learning styles is a critical step inunderstanding how to improve the learning process.This paper presented an automatic tool for identifying learning styles based on the Felder-Silvermanlearning style model in a learning environment using a social book marking website such aswww.tagme1.com .The proposed tool used the learners’ behaviour while they are browsing / exploring their favorite webpages in order to gather hints about their learning styles. Then the learning styles were calculated basedon the gathered indications from the learners' database.The results showed that the proposed tool recognition accuracy was 72% when we applied it on 25learners with low number of links per learner. Recognition accuracy increased to 86.66% when weapplied it on 15 learners with high number of links per learner.

  19. SERPINA1 Full-Gene Sequencing Identifies Rare Mutations Not Detected in Targeted Mutation Analysis.

    Science.gov (United States)

    Graham, Rondell P; Dina, Michelle A; Howe, Sarah C; Butz, Malinda L; Willkomm, Kurt S; Murray, David L; Snyder, Melissa R; Rumilla, Kandelaria M; Halling, Kevin C; Highsmith, W Edward

    2015-11-01

    Genetic α-1 antitrypsin (AAT) deficiency is characterized by low serum AAT levels and the identification of causal mutations or an abnormal protein. It needs to be distinguished from deficiency because of nongenetic causes, and diagnostic delay may contribute to worse patient outcome. Current routine clinical testing assesses for only the most common mutations. We wanted to determine the proportion of unexplained cases of AAT deficiency that harbor causal mutations not identified through current standard allele-specific genotyping and isoelectric focusing (IEF). All prospective cases from December 1, 2013, to October 1, 2014, with a low serum AAT level not explained by allele-specific genotyping and IEF were assessed through full-gene sequencing with a direct sequencing method for pathogenic mutations. We reviewed the results using American Council of Medical Genetics criteria. Of 3523 cases, 42 (1.2%) met study inclusion criteria. Pathogenic or likely pathogenic mutations not identified through clinical testing were detected through full-gene sequencing in 16 (38%) of the 42 cases. Rare mutations not detected with current allele-specific testing and IEF underlie a substantial proportion of genetic AAT deficiency. Full-gene sequencing, therefore, has the ability to improve accuracy in the diagnosis of AAT deficiency. PMID:26321041

  20. Exome analysis of two limb-girdle muscular dystrophy families: mutations identified and challenges encountered.

    Directory of Open Access Journals (Sweden)

    Kristin K McDonald

    Full Text Available The molecular diagnosis of muscle disorders is challenging: genetic heterogeneity (>100 causal genes for skeletal and cardiac muscle disease precludes exhaustive clinical testing, prioritizing sequencing of specific genes is difficult due to the similarity of clinical presentation, and the number of variants returned through exome sequencing can make the identification of the disease-causing variant difficult. We have filtered variants found through exome sequencing by prioritizing variants in genes known to be involved in muscle disease while examining the quality and depth of coverage of those genes. We ascertained two families with autosomal dominant limb-girdle muscular dystrophy of unknown etiology. To identify the causal mutations in these families, we performed exome sequencing on five affected individuals using the Agilent SureSelect Human All Exon 50 Mb kit and the Illumina HiSeq 2000 (2×100 bp. We identified causative mutations in desmin (IVS3+3A>G and filamin C (p.W2710X, and augmented the phenotype data for individuals with muscular dystrophy due to these mutations. We also discuss challenges encountered due to depth of coverage variability at specific sites and the annotation of a functionally proven splice site variant as an intronic variant.

  1. H-1 Nuclear Magnetic Resonance Metabolomics Analysis Identifies Novel Urinary Biomarkers for Lung Function

    International Nuclear Information System (INIS)

    Chronic obstructive pulmonary disease (COPD), characterized by chronic airflow limitation, is a serious and growing public health concern. The major environmental risk factor for COPD is tobacco smoking, but the biological mechanisms underlying COPD are not well understood. In this study, we used proton nuclear magnetic resonance (1H-NMR) spectroscopy to identify and quantify metabolites associated with lung function in COPD. Plasma and urine were collected from 197 adults with COPD and from 195 adults without COPD. Samples were assayed using a 600 MHz NMR spectrometer, and the resulting spectra were analyzed against quantitative spirometric measures of lung function. After correcting for false discoveries and adjusting for covariates (sex, age, smoking) several spectral regions in urine were found to be significantly associated with baseline lung function. These regions correspond to the metabolites trigonelline, hippurate and formate. Concentrations of each metabolite, standardized to urinary creatinine, were associated with baseline lung function (minimum p-value = 0.0002 for trigonelline). No significant associations were found with plasma metabolites. Two of the three urinary metabolites positively associated with baseline lung function, i.e. hippurate and formate, are often related to gut microflora. This suggests that the microbiome composition is variable between individuals with different lung function. Alternatively, the nature and origins of all three associated metabolites may reflect lifestyle differences affecting overall health. Our results will require replication and validation, but demonstrate the utility of NMR metabolomics as a screening tool for identifying novel biomarkers of lung disease or disease risk.

  2. Identifying and quantifying heterogeneity in high content analysis: application of heterogeneity indices to drug discovery.

    Directory of Open Access Journals (Sweden)

    Albert H Gough

    Full Text Available One of the greatest challenges in biomedical research, drug discovery and diagnostics is understanding how seemingly identical cells can respond differently to perturbagens including drugs for disease treatment. Although heterogeneity has become an accepted characteristic of a population of cells, in drug discovery it is not routinely evaluated or reported. The standard practice for cell-based, high content assays has been to assume a normal distribution and to report a well-to-well average value with a standard deviation. To address this important issue we sought to define a method that could be readily implemented to identify, quantify and characterize heterogeneity in cellular and small organism assays to guide decisions during drug discovery and experimental cell/tissue profiling. Our study revealed that heterogeneity can be effectively identified and quantified with three indices that indicate diversity, non-normality and percent outliers. The indices were evaluated using the induction and inhibition of STAT3 activation in five cell lines where the systems response including sample preparation and instrument performance were well characterized and controlled. These heterogeneity indices provide a standardized method that can easily be integrated into small and large scale screening or profiling projects to guide interpretation of the biology, as well as the development of therapeutics and diagnostics. Understanding the heterogeneity in the response to perturbagens will become a critical factor in designing strategies for the development of therapeutics including targeted polypharmacology.

  3. Network analysis identifies SOD2 mRNA as a potential biomarker for Parkinson's disease.

    Directory of Open Access Journals (Sweden)

    Jose A Santiago

    Full Text Available Increasing evidence indicates that Parkinson's disease (PD and type 2 diabetes (T2DM share dysregulated molecular networks. We identified 84 genes shared between PD and T2DM from curated disease-gene databases. Nitric oxide biosynthesis, lipid and carbohydrate metabolism, insulin secretion and inflammation were identified as common dysregulated pathways. A network prioritization approach was implemented to rank genes according to their distance to seed genes and their involvement in common biological pathways. Quantitative polymerase chain reaction assays revealed that a highly ranked gene, superoxide dismutase 2 (SOD2, is upregulated in PD patients compared to healthy controls in 192 whole blood samples from two independent clinical trials, the Harvard Biomarker Study (HBS and the Diagnostic and Prognostic Biomarkers in Parkinson's disease (PROBE. The results from this study reinforce the idea that shared molecular networks between PD and T2DM provides an additional source of biologically meaningful biomarkers. Evaluation of this biomarker in de novo PD patients and in a larger prospective longitudinal study is warranted.

  4. Genome-Wide Analysis Identifies Germ-Line Risk Factors Associated with Canine Mammary Tumours

    Science.gov (United States)

    Melin, Malin; Murén, Eva; Gustafson, Ulla; Starkey, Mike; Borge, Kaja Sverdrup; Lingaas, Frode; Saellström, Sara; Rönnberg, Henrik; Lindblad-Toh, Kerstin

    2016-01-01

    Canine mammary tumours (CMT) are the most common neoplasia in unspayed female dogs. CMTs are suitable naturally occurring models for human breast cancer and share many characteristics, indicating that the genetic causes could also be shared. We have performed a genome-wide association study (GWAS) in English Springer Spaniel dogs and identified a genome-wide significant locus on chromosome 11 (praw = 5.6x10-7, pperm = 0.019). The most associated haplotype spans a 446 kb region overlapping the CDK5RAP2 gene. The CDK5RAP2 protein has a function in cell cycle regulation and could potentially have an impact on response to chemotherapy treatment. Two additional loci, both on chromosome 27, were nominally associated (praw = 1.97x10-5 and praw = 8.30x10-6). The three loci explain 28.1±10.0% of the phenotypic variation seen in the cohort, whereas the top ten associated regions account for 38.2±10.8% of the risk. Furthermore, the ten GWAS loci and regions with reduced genetic variability are significantly enriched for snoRNAs and tumour-associated antigen genes, suggesting a role for these genes in CMT development. We have identified several candidate genes associated with canine mammary tumours, including CDK5RAP2. Our findings enable further comparative studies to investigate the genes and pathways in human breast cancer patients. PMID:27158822

  5. H-1 Nuclear Magnetic Resonance Metabolomics Analysis Identifies Novel Urinary Biomarkers for Lung Function

    Energy Technology Data Exchange (ETDEWEB)

    MCClay, Joseph L.; Adkins, Daniel E.; Isern, Nancy G.; O' Connell, Thomas M.; Wooten, Jan B.; Zedler, Barbara K.; Dasika, Madhukar S.; Webb, B. T.; Webb-Robertson, Bobbie-Jo M.; Pounds, Joel G.; Murrelle, Edward L.; Leppert, Mark F.; van den Oord, Edwin J.

    2010-06-04

    Chronic obstructive pulmonary disease (COPD), characterized by chronic airflow limitation, is a serious and growing public health concern. The major environmental risk factor for COPD is tobacco smoking, but the biological mechanisms underlying COPD are not well understood. In this study, we used proton nuclear magnetic resonance (1H-NMR) spectroscopy to identify and quantify metabolites associated with lung function in COPD. Plasma and urine were collected from 197 adults with COPD and from 195 adults without COPD. Samples were assayed using a 600 MHz NMR spectrometer, and the resulting spectra were analyzed against quantitative spirometric measures of lung function. After correcting for false discoveries and adjusting for covariates (sex, age, smoking) several spectral regions in urine were found to be significantly associated with baseline lung function. These regions correspond to the metabolites trigonelline, hippurate and formate. Concentrations of each metabolite, standardized to urinary creatinine, were associated with baseline lung function (minimum p-value = 0.0002 for trigonelline). No significant associations were found with plasma metabolites. Two of the three urinary metabolites positively associated with baseline lung function, i.e. hippurate and formate, are often related to gut microflora. This suggests that the microbiome composition is variable between individuals with different lung function. Alternatively, the nature and origins of all three associated metabolites may reflect lifestyle differences affecting overall health. Our results will require replication and validation, but demonstrate the utility of NMR metabolomics as a screening tool for identifying novel biomarkers of lung disease or disease risk.

  6. Genome-Wide Analysis Identifies Germ-Line Risk Factors Associated with Canine Mammary Tumours.

    Science.gov (United States)

    Melin, Malin; Rivera, Patricio; Arendt, Maja; Elvers, Ingegerd; Murén, Eva; Gustafson, Ulla; Starkey, Mike; Borge, Kaja Sverdrup; Lingaas, Frode; Häggström, Jens; Saellström, Sara; Rönnberg, Henrik; Lindblad-Toh, Kerstin

    2016-05-01

    Canine mammary tumours (CMT) are the most common neoplasia in unspayed female dogs. CMTs are suitable naturally occurring models for human breast cancer and share many characteristics, indicating that the genetic causes could also be shared. We have performed a genome-wide association study (GWAS) in English Springer Spaniel dogs and identified a genome-wide significant locus on chromosome 11 (praw = 5.6x10-7, pperm = 0.019). The most associated haplotype spans a 446 kb region overlapping the CDK5RAP2 gene. The CDK5RAP2 protein has a function in cell cycle regulation and could potentially have an impact on response to chemotherapy treatment. Two additional loci, both on chromosome 27, were nominally associated (praw = 1.97x10-5 and praw = 8.30x10-6). The three loci explain 28.1±10.0% of the phenotypic variation seen in the cohort, whereas the top ten associated regions account for 38.2±10.8% of the risk. Furthermore, the ten GWAS loci and regions with reduced genetic variability are significantly enriched for snoRNAs and tumour-associated antigen genes, suggesting a role for these genes in CMT development. We have identified several candidate genes associated with canine mammary tumours, including CDK5RAP2. Our findings enable further comparative studies to investigate the genes and pathways in human breast cancer patients. PMID:27158822

  7. Independent component analysis of high-resolution imaging data identifies distinct functional domains

    DEFF Research Database (Denmark)

    Reidl, Juergen; Starke, Jens; Omer, David; Grinvald, Amiram; Spors, Hartwig

    2007-01-01

    . Here we demonstrate that principal component analysis (PCA) followed by spatial independent component analysis (sICA), can be exploited to reduce the dimensionality of data sets recorded in the olfactory bulb and the somatosensory cortex of mice as well as the visual cortex of monkeys, without loosing......In the vertebrate brain external stimuli are often represented in distinct functional domains distributed across the cortical surface. Fast imaging techniques used to measure patterns of population activity record movies with many pixels and many frames, i.e. data sets with high dimensionality...... automatically detected. In the visual cortex orientation columns can be extracted. In all cases artifacts due to movement, heartbeat or respiration were separated from the functional signal by sICA and could be removed from the data set. sICA is therefore a powerful technique for data compression, unbiased...

  8. Diagnostic Potential of Immunoblot Analysis for Identifying Rabbits Infected with Trichophyton mentagrophytes

    OpenAIRE

    Zrimšek, Petra; Drobnič-Košorok, Marinka

    2003-01-01

    The aim of this study was to investigate the diagnostic potential of immunoblot analysis for detecting rabbits naturally infected with Trichophyton mentagrophytes. A protein extract of the dermatophyte T. mentagrophytes was prepared from a fungal mat grown in liquid medium, where the production of keratinases was stimulated by keratin as a nitrogen source. The proteins derived from disrupted T. mentagrophytes were separated by SDS-PAGE and visualized by Western blotting. Twenty-one rabbits in...

  9. Gene expression meta-analysis identifies metastatic pathways and transcription factors in breast cancer

    OpenAIRE

    Tan Qihua; Thomassen Mads; Kruse Torben A

    2008-01-01

    Abstract Background Metastasis is believed to progress in several steps including different pathways but the determination and understanding of these mechanisms is still fragmentary. Microarray analysis of gene expression patterns in breast tumors has been used to predict outcome in recent studies. Besides classification of outcome, these global expression patterns may reflect biological mechanisms involved in metastasis of breast cancer. Our purpose has been to investigate pathways and trans...

  10. Gene expression meta-analysis identifies metastatic pathways and transcription factors in breast cancer

    OpenAIRE

    Thomassen, Mads; Tan, Qihua; Kruse, Torben A.

    2008-01-01

    Background Metastasis is believed to progress in several steps including different pathways but the determination and understanding of these mechanisms is still fragmentary. Microarray analysis of gene expression patterns in breast tumors has been used to predict outcome in recent studies. Besides classification of outcome, these global expression patterns may reflect biological mechanisms involved in metastasis of breast cancer. Our purpose has been to investigate pathways and transcription ...

  11. Automated Analysis of Fluorescence Microscopy Images to Identify Protein-Protein Interactions

    OpenAIRE

    Morrell-Falvey, J. L.; Qi, H.; Doktycz, M. J.; Venkatraman, S.

    2006-01-01

    The identification of protein interactions is important for elucidating biological networks. One obstacle in comprehensive interaction studies is the analyses of large datasets, particularly those containing images. Development of an automated system to analyze an image-based protein interaction dataset is needed. Such an analysis system is described here, to automatically extract features from fluorescence microscopy images obtained from a bacterial protein interaction assay. These features ...

  12. Scenario Analysis to Identify Viable Conservation Strategies in Paraguay's Imperiled Atlantic Forest

    OpenAIRE

    Laura Rodriguez; Ross Mitchell; Carlson, Matthew J.

    2011-01-01

    A common challenge facing land use planning is assessment of the future performance of land use options. The challenge can be acute in developing regions where land use is expanding rapidly and funding and data needed for planning are scarce. To inform land use planning for a biosphere reserve located in Paraguay's Atlantic forest region, a scenario analysis explored the relative merits of conventional and conservation agricultural practices, sustained yield forestry, and protection. Sim...

  13. Identifying differences in the experience of (in)authenticity: a latent class analysis approach

    OpenAIRE

    Alison P. Lenton; Slabu, Letitia; Bruder, Martin; Sedikides, Constantine

    2014-01-01

    Generally, psychologists consider state authenticity – that is, the subjective sense of being one’s true self – to be a unitary and unidimensional construct, such that (a) the phenomenological experience of authenticity is thought to be similar no matter its trigger, and (b) inauthenticity is thought to be simply the opposing pole (on the same underlying construct) of authenticity. Using latent class analysis, we put this conceptualization to a test. In order to avoid over-reliance on a Weste...

  14. Diversity and biocatalytic potential of epoxide hydrolases identified by genome analysis

    OpenAIRE

    van der Loo, B; Kingma, J.; Arand, M; Wubbolts, Marcel; Janssen, D B

    2006-01-01

    Epoxide hydrolases play an important role in the biodegradation of organic compounds and are potentially useful in enantioselective biocatalysis. An analysis of various genomic databases revealed that about 20% of sequenced organisms contain one or more putative epoxide hydrolase genes. They were found in all domains of life, and many fungi and actinobacteria contain several putative epoxide hydrolase-encoding genes. Multiple sequence alignments of epoxide hydrolases with other known and puta...

  15. Host response to respiratory bacterial pathogens as identified by integrated analysis of human gene expression data.

    Directory of Open Access Journals (Sweden)

    Steven B Smith

    Full Text Available Respiratory bacterial pathogens are one of the leading causes of infectious death in the world and a major health concern complicated by the rise of multi-antibiotic resistant strains. Therapeutics that modulate host genes essential for pathogen infectivity could potentially avoid multi-drug resistance and provide a wider scope of treatment options. Here, we perform an integrative analysis of published human gene expression data generated under challenges from the gram-negative and Gram-positive bacteria pathogens, Pseudomonas aeruginosa and Streptococcus pneumoniae, respectively. We applied a previously described differential gene and pathway enrichment analysis pipeline to publicly available host mRNA GEO datasets resulting from exposure to bacterial infection. We found 72 canonical human pathways common between four GEO datasets, representing P. aeruginosa and S. pneumoniae. Although the majority of these pathways are known to be involved with immune response, we found several interesting new interactions such as the SUMO1 pathway that might have a role in bacterial infections. Furthermore, 36 host-bacterial pathways were also shared with our previous results for respiratory virus host gene expression. Based on our pathway analysis we propose several drug-repurposing opportunities supported by the literature.

  16. Numerical analysis and experiment to identify origin of buckling in rapid cycling synchrotron core

    International Nuclear Information System (INIS)

    The accelerating cavities used in the rapid cycling synchrotron (RCS) of the Japan Proton Accelerator Research Complex (J-PARC) are loaded with magnetic alloy (MA) cores. Over lengthly periods of RCS operation, significant reductions in the impedance of the cavities resulting from the buckling of the cores were observed. A series of thermal structural simulations and compressive strength tests showed that the buckling can be attributed to the low-viscosity epoxy resin impregnation of the MA core that causes the stiffening of the originally flexible MA–ribbon–wound core. Our results showed that thermal stress can be effectively reduced upon using a core that is not epoxy-impregnated. -- Highlights: • Study to identify the origin of buckling in the MA cores is presented. • Thermal stress simulations and compressive strength tests were carried out. • Results show that thermal stress is the origin of core buckling. • Thermal stress can be reduced by using cores without epoxy impregnation

  17. Analysis of CHAMP scalar magnetic data to identify ocean circulation signals

    DEFF Research Database (Denmark)

    Manoj, C.; Maus, S.; Kuvshinov, Alexei;

    Unlike tidal ocean signals, the magnetic signal of ocean circulation has not yet been identified in satellite magnetic data. In particular, the steady signal of mean ocean flow is indistinguishable from time invariant crustal signals. One option, therefore, is to predict the seasonal and annual...... variations in the ocean flow signal from ocean circulation models and compare them with the corresponding variations in satellite magnetic residuals. We used the 11 year ECCO-1 simulation data to derive the ocean transport. A 3D EM induction code in its low frequency limit, was used to simulate the magnetic...... signals at satellite altitude. We predict annual variation amplitudes in the scalar anomaly of the order of 0.3 nT. We compare these predictions with the particularly quiet CHAMP night-time scalar data, subtracting core, mantle, crustal, ocean tidal, and magnetospheric contributions to the field. The...

  18. Multifactor dimensionality reduction analysis identifies specific nucleotide patterns promoting genetic polymorphisms

    Directory of Open Access Journals (Sweden)

    Arehart Eric

    2009-03-01

    Full Text Available Abstract Background The fidelity of DNA replication serves as the nidus for both genetic evolution and genomic instability fostering disease. Single nucleotide polymorphisms (SNPs constitute greater than 80% of the genetic variation between individuals. A new theory regarding DNA replication fidelity has emerged in which selectivity is governed by base-pair geometry through interactions between the selected nucleotide, the complementary strand, and the polymerase active site. We hypothesize that specific nucleotide combinations in the flanking regions of SNP fragments are associated with mutation. Results We modeled the relationship between DNA sequence and observed polymorphisms using the novel multifactor dimensionality reduction (MDR approach. MDR was originally developed to detect synergistic interactions between multiple SNPs that are predictive of disease susceptibility. We initially assembled data from the Broad Institute as a pilot test for the hypothesis that flanking region patterns associate with mutagenesis (n = 2194. We then confirmed and expanded our inquiry with human SNPs within coding regions and their flanking sequences collected from the National Center for Biotechnology Information (NCBI database (n = 29967 and a control set of sequences (coding region not associated with SNP sites randomly selected from the NCBI database (n = 29967. We discovered seven flanking region pattern associations in the Broad dataset which reached a minimum significance level of p ≤ 0.05. Significant models (p Conclusion The present study represents the first use of this computational methodology for modeling nonlinear patterns in molecular genetics. MDR was able to identify distinct nucleotide patterning around sites of mutations dependent upon the observed nucleotide change. We discovered one flanking region set that included five nucleotides clustered around a specific type of SNP site. Based on the strongly associated patterns identified in

  19. RNA-seq analysis to identify novel roles of scleraxis during embryonic mouse heart valve remodeling.

    Directory of Open Access Journals (Sweden)

    Damien N Barnette

    Full Text Available Heart valve disease affects up to 30% of the population and has been shown to have origins during embryonic development. Valvulogenesis begins with formation of endocardial cushions in the atrioventricular canal and outflow tract regions. Subsequently, endocardial cushions remodel, elongate and progressively form mature valve structures composed of a highly organized connective tissue that provides the necessary biomechanical function throughout life. While endocardial cushion formation has been well studied, the processes required for valve remodeling are less well understood. The transcription factor Scleraxis (Scx is detected in mouse valves from E15.5 during initial stages of remodeling, and expression remains high until birth when formation of the highly organized mature structure is complete. Heart valves from Scx-/- mice are abnormally thick and develop fibrotic phenotypes similar to human disease by juvenile stages. These phenotypes begin around E15.5 and are associated with defects in connective tissue organization and valve interstitial cell differentiation. In order to understand the etiology of this phenotype, we analyzed the transcriptome of remodeling valves isolated from E15.5 Scx-/- embryos using RNA-seq. From this, we have identified a profile of protein and non-protein mRNAs that are dependent on Scx function and using bioinformatics we can predict the molecular functions and biological processes affected by these genes. These include processes and functions associated with gene regulation (methyltransferase activity, DNA binding, Notch signaling, vitamin A metabolism (retinoic acid biosynthesis and cellular development (cell morphology, cell assembly and organization. In addition, several mRNAs are affected by alternative splicing events in the absence of Scx, suggesting additional roles in post-transcriptional modification. In summary, our findings have identified transcriptome profiles from abnormal heart valves isolated

  20. Genome-wide association analysis in primary sclerosing cholangitis identifies two non-HLA susceptibility loci

    Science.gov (United States)

    Melum, Espen; Franke, Andre; Schramm, Christoph; Weismüller, Tobias J; Gotthardt, Daniel Nils; Offner, Felix A; Juran, Brian D; Laerdahl, Jon K; Labi, Verena; Björnsson, Einar; Weersma, Rinse K; Henckaerts, Liesbet; Teufel, Andreas; Rust, Christian; Ellinghaus, Eva; Balschun, Tobias; Boberg, Kirsten Muri; Ellinghaus, David; Bergquist, Annika; Sauer, Peter; Ryu, Euijung; Hov, Johannes Roksund; Wedemeyer, Jochen; Lindkvist, Björn; Wittig, Michael; Porte, Robert J; Holm, Kristian; Gieger, Christian; Wichmann, H-Erich; Stokkers, Pieter; Ponsioen, Cyriel Y; Runz, Heiko; Stiehl, Adolf; Wijmenga, Cisca; Sterneck, Martina; Vermeire, Severine; Beuers, Ulrich; Villunger, Andreas; Schrumpf, Erik; Lazaridis, Konstantinos N; Manns, Michael P; Schreiber, Stefan; Karlsen, Tom H

    2015-01-01

    Primary sclerosing cholangitis (PSC) is a chronic bile duct disease affecting 2.4–7.5% of individuals with inflammatory bowel disease. We performed a genome-wide association analysis of 2,466,182 SNPs in 715 individuals with PSC and 2,962 controls, followed by replication in 1,025 PSC cases and 2,174 controls. We detected non-HLA associations at rs3197999 in MST1 and rs6720394 near BCL2L11 (combined P = 1.1 × 10−16 and P = 4.1 × 10−8, respectively). PMID:21151127

  1. Comparing chemical analysis with literature studies to identify micropollutants in a catchment of Copenhagen (DK)

    DEFF Research Database (Denmark)

    Lützhøft, Hans-Christian Holten; Birch, Heidi; Eriksson, Eva;

    2011-01-01

    (EU, 2000). It is also required to establish inventories of sources to pollution, to design and perform monitoring programs as well as to outline strategies to reduce emissions if the environmental quality standards are exceeded. The aim of this study was to compare chemical analysis performed on...... urban surface runoff originating from a well defined catchment of Copenhagen (Denmark) with an inventory of potential pollution sources for the same catchment. The selected catchment covers an area with roads, a shopping centre, a parking lot, office buildings, a gymnasium and some restaurants. The...

  2. Genome-wide association analysis in primary sclerosing cholangitis identifies two non-HLA susceptibility loci.

    Science.gov (United States)

    Melum, Espen; Franke, Andre; Schramm, Christoph; Weismüller, Tobias J; Gotthardt, Daniel Nils; Offner, Felix A; Juran, Brian D; Laerdahl, Jon K; Labi, Verena; Björnsson, Einar; Weersma, Rinse K; Henckaerts, Liesbet; Teufel, Andreas; Rust, Christian; Ellinghaus, Eva; Balschun, Tobias; Boberg, Kirsten Muri; Ellinghaus, David; Bergquist, Annika; Sauer, Peter; Ryu, Euijung; Hov, Johannes Roksund; Wedemeyer, Jochen; Lindkvist, Björn; Wittig, Michael; Porte, Robert J; Holm, Kristian; Gieger, Christian; Wichmann, H-Erich; Stokkers, Pieter; Ponsioen, Cyriel Y; Runz, Heiko; Stiehl, Adolf; Wijmenga, Cisca; Sterneck, Martina; Vermeire, Severine; Beuers, Ulrich; Villunger, Andreas; Schrumpf, Erik; Lazaridis, Konstantinos N; Manns, Michael P; Schreiber, Stefan; Karlsen, Tom H

    2011-01-01

    Primary sclerosing cholangitis (PSC) is a chronic bile duct disease affecting 2.4-7.5% of individuals with inflammatory bowel disease. We performed a genome-wide association analysis of 2,466,182 SNPs in 715 individuals with PSC and 2,962 controls, followed by replication in 1,025 PSC cases and 2,174 controls. We detected non-HLA associations at rs3197999 in MST1 and rs6720394 near BCL2L11 (combined P = 1.1 × 10⁻¹⁶ and P = 4.1 × 10⁻⁸, respectively). PMID:21151127

  3. Genome-wide association analysis identifies 13 new risk loci for schizophrenia

    OpenAIRE

    Ripke, Stephan; O'Dushlaine, Colm; Chambert, Kimberly; Moran, Jennifer L; Kähler, Anna K.; Akterin, Susanne; Bergen, Sarah E.; Collins, Ann L.; Crowley, James J.; Fromer, Menachem; Kim, Yunjung; Lee, Sang Hong; Magnusson, Patrik K E; Sanchez, Nick; Stahl, Eli A

    2013-01-01

    Schizophrenia is an idiopathic mental disorder with a heritable component and a substantial public health impact. We conducted a multi-stage genome-wide association study (GWAS) for schizophrenia beginning with a Swedish national sample (5,001 cases and 6,243 controls) followed by meta-analysis with previous schizophrenia GWAS (8,832 cases and 12,067 controls) and finally by replication of SNPs in 168 genomic regions in independent samples (7,413 cases, 19,762 controls and 581 parent-offsprin...

  4. Genome-wide association analysis identifies 13 new risk loci for schizophrenia.

    OpenAIRE

    Ripke, Stephan; O'Dushlaine, Colm; Chambert, Kimberly; Moran, Jennifer L; Kähler, Anna K.; Akterin, Susanne; Bergen, Sarah E.; Collins, Ann L.; Crowley, James J.; Fromer, Menachem; Kim, Yunjung; Bender, Stephan; Collier, David; Crespo-Facorro, Benedicto; Hall, Jeremy

    2013-01-01

    Schizophrenia is an idiopathic mental disorder with a heritable component and a substantial public health impact. We conducted a multi-stage genome-wide association study (GWAS) for schizophrenia beginning with a Swedish national sample (5,001 cases and 6,243 controls) followed by meta-analysis with previous schizophrenia GWAS (8,832 cases and 12,067 controls) and finally by replication of SNPs in 168 genomic regions in independent samples (7,413 cases, 19,762 controls and 581 parent-offsprin...

  5. A Meta-Analysis Identifies New Loci Associated with Body Mass index in Individuals of African Ancestry

    OpenAIRE

    Keri L Monda; Chen, Gary K.; Taylor, Kira C.; Palmer, Cameron; Edwards, Todd L.; Lange, Leslie A.; Ng, Maggie C. Y.; Adeyemo, Adebowale A.; Allison, Matthew A.; Bielak, Lawrence F; Chen, Guanji; Graff, Mariaelisa; Irvin, Marguerite R.; Rhie, Suhn K.; Li, Guo

    2013-01-01

    Genome-wide association studies (GWAS) have identified 36 loci associated with body mass index (BMI), predominantly in populations of European ancestry. We conducted a meta-analysis to examine the association of >3.2 million SNPs with BMI in 39,144 men and women of African ancestry, and followed up the most significant associations in an additional 32,268 individuals of African ancestry. We identified one novel locus at 5q33 (GALNT10, rs7708584, p=3.4×10−11) and another at 7p15 when combined ...

  6. SMARTbot: A Behavioral Analysis Framework Augmented with Machine Learning to Identify Mobile Botnet Applications.

    Directory of Open Access Journals (Sweden)

    Ahmad Karim

    Full Text Available Botnet phenomenon in smartphones is evolving with the proliferation in mobile phone technologies after leaving imperative impact on personal computers. It refers to the network of computers, laptops, mobile devices or tablets which is remotely controlled by the cybercriminals to initiate various distributed coordinated attacks including spam emails, ad-click fraud, Bitcoin mining, Distributed Denial of Service (DDoS, disseminating other malwares and much more. Likewise traditional PC based botnet, Mobile botnets have the same operational impact except the target audience is particular to smartphone users. Therefore, it is import to uncover this security issue prior to its widespread adaptation. We propose SMARTbot, a novel dynamic analysis framework augmented with machine learning techniques to automatically detect botnet binaries from malicious corpus. SMARTbot is a component based off-device behavioral analysis framework which can generate mobile botnet learning model by inducing Artificial Neural Networks' back-propagation method. Moreover, this framework can detect mobile botnet binaries with remarkable accuracy even in case of obfuscated program code. The results conclude that, a classifier model based on simple logistic regression outperform other machine learning classifier for botnet apps' detection, i.e 99.49% accuracy is achieved. Further, from manual inspection of botnet dataset we have extracted interesting trends in those applications. As an outcome of this research, a mobile botnet dataset is devised which will become the benchmark for future studies.

  7. Sequence Analysis of SSR-Flanking Regions Identifies Genome Affinities between Pasture Grass Fungal Endophyte Taxa

    Directory of Open Access Journals (Sweden)

    Eline van Zijll de Jong

    2011-01-01

    Full Text Available Fungal species of the Neotyphodium and Epichloë genera are endophytes of pasture grasses showing complex differences of life-cycle and genetic architecture. Simple sequence repeat (SSR markers have been developed from endophyte-derived expressed sequence tag (EST collections. Although SSR array size polymorphisms are appropriate for phenetic analysis to distinguish between taxa, the capacity to resolve phylogenetic relationships is limited by both homoplasy and heteroploidy effects. In contrast, nonrepetitive sequence regions that flank SSRs have been effectively implemented in this study to demonstrate a common evolutionary origin of grass fungal endophytes. Consistent patterns of relationships between specific taxa were apparent across multiple target loci, confirming previous studies of genome evolution based on variation of individual genes. Evidence was obtained for the definition of endophyte taxa not only through genomic affinities but also by relative gene content. Results were compatible with the current view that some asexual Neotyphodium species arose following interspecific hybridisation between sexual Epichloë ancestors. Phylogenetic analysis of SSR-flanking regions, in combination with the results of previous studies with other EST-derived SSR markers, further permitted characterisation of Neotyphodium isolates that could not be assigned to known taxa on the basis of morphological characteristics.

  8. Application of Nonlinear Analysis Methods for Identifying Relationships Between Microbial Community Structure and Groundwater Geochemistry

    Energy Technology Data Exchange (ETDEWEB)

    Schryver, Jack C.; Brandt, Craig C.; Pfiffner, Susan M.; Palumbo, A V.; Peacock, Aaron D.; White, David C.; McKinley, James P.; Long, Philip E.

    2006-02-01

    The relationship between groundwater geochemistry and microbial community structure can be complex and difficult to assess. We applied nonlinear and generalized linear data analysis methods to relate microbial biomarkers (phospholipids fatty acids, PLFA) to groundwater geochemical characteristics at the Shiprock uranium mill tailings disposal site that is primarily contaminated by uranium, sulfate, and nitrate. First, predictive models were constructed using feedforward artificial neural networks (NN) to predict PLFA classes from geochemistry. To reduce the danger of overfitting, parsimonious NN architectures were selected based on pruning of hidden nodes and elimination of redundant predictor (geochemical) variables. The resulting NN models greatly outperformed the generalized linear models. Sensitivity analysis indicated that tritium, which was indicative of riverine influences, and uranium were important in predicting the distributions of the PLFA classes. In contrast, nitrate concentration and inorganic carbon were least important, and total ionic strength was of intermediate importance. Second, nonlinear principal components (NPC) were extracted from the PLFA data using a variant of the feedforward NN. The NPC grouped the samples according to similar geochemistry. PLFA indicators of Gram-negative bacteria and eukaryotes were associated with the groups of wells with lower levels of contamination. The more contaminated samples contained microbial communities that were predominated by terminally branched saturates and branched monounsaturates that are indicative of metal reducers, actinomycetes, and Gram-positive bacteria. These results indicate that the microbial community at the site is coupled to the geochemistry and knowledge of the geochemistry allows prediction of the community composition.

  9. Application of Nonlinear Analysis Methods for Identifying Relationships Between Microbial Community Structure and Groundwater Geochemistry

    International Nuclear Information System (INIS)

    The relationship between groundwater geochemistry and microbial community structure can be complex and difficult to assess. We applied nonlinear and generalized linear data analysis methods to relate microbial biomarkers (phospholipids fatty acids, PLFA) to groundwater geochemical characteristics at the Shiprock uranium mill tailings disposal site that is primarily contaminated by uranium, sulfate, and nitrate. First, predictive models were constructed using feedforward artificial neural networks (NN) to predict PLFA classes from geochemistry. To reduce the danger of overfitting, parsimonious NN architectures were selected based on pruning of hidden nodes and elimination of redundant predictor (geochemical) variables. The resulting NN models greatly outperformed the generalized linear models. Sensitivity analysis indicated that tritium, which was indicative of riverine influences, and uranium were important in predicting the distributions of the PLFA classes. In contrast, nitrate concentration and inorganic carbon were least important, and total ionic strength was of intermediate importance. Second, nonlinear principal components (NPC) were extracted from the PLFA data using a variant of the feedforward NN. The NPC grouped the samples according to similar geochemistry. PLFA indicators of Gram-negative bacteria and eukaryotes were associated with the groups of wells with lower levels of contamination. The more contaminated samples contained microbial communities that were predominated by terminally branched saturates and branched monounsaturates that are indicative of metal reducers, actinomycetes, and Gram-positive bacteria. These results indicate that the microbial community at the site is coupled to the geochemistry and knowledge of the geochemistry allows prediction of the community composition

  10. High-throughput mathematical analysis identifies Turing networks for patterning with equally diffusing signals

    Science.gov (United States)

    Marcon, Luciano; Diego, Xavier; Sharpe, James; Müller, Patrick

    2016-01-01

    The Turing reaction-diffusion model explains how identical cells can self-organize to form spatial patterns. It has been suggested that extracellular signaling molecules with different diffusion coefficients underlie this model, but the contribution of cell-autonomous signaling components is largely unknown. We developed an automated mathematical analysis to derive a catalog of realistic Turing networks. This analysis reveals that in the presence of cell-autonomous factors, networks can form a pattern with equally diffusing signals and even for any combination of diffusion coefficients. We provide a software (available at http://www.RDNets.com) to explore these networks and to constrain topologies with qualitative and quantitative experimental data. We use the software to examine the self-organizing networks that control embryonic axis specification and digit patterning. Finally, we demonstrate how existing synthetic circuits can be extended with additional feedbacks to form Turing reaction-diffusion systems. Our study offers a new theoretical framework to understand multicellular pattern formation and enables the wide-spread use of mathematical biology to engineer synthetic patterning systems. DOI: http://dx.doi.org/10.7554/eLife.14022.001 PMID:27058171

  11. SMARTbot: A Behavioral Analysis Framework Augmented with Machine Learning to Identify Mobile Botnet Applications

    Science.gov (United States)

    Karim, Ahmad; Salleh, Rosli; Khan, Muhammad Khurram

    2016-01-01

    Botnet phenomenon in smartphones is evolving with the proliferation in mobile phone technologies after leaving imperative impact on personal computers. It refers to the network of computers, laptops, mobile devices or tablets which is remotely controlled by the cybercriminals to initiate various distributed coordinated attacks including spam emails, ad-click fraud, Bitcoin mining, Distributed Denial of Service (DDoS), disseminating other malwares and much more. Likewise traditional PC based botnet, Mobile botnets have the same operational impact except the target audience is particular to smartphone users. Therefore, it is import to uncover this security issue prior to its widespread adaptation. We propose SMARTbot, a novel dynamic analysis framework augmented with machine learning techniques to automatically detect botnet binaries from malicious corpus. SMARTbot is a component based off-device behavioral analysis framework which can generate mobile botnet learning model by inducing Artificial Neural Networks’ back-propagation method. Moreover, this framework can detect mobile botnet binaries with remarkable accuracy even in case of obfuscated program code. The results conclude that, a classifier model based on simple logistic regression outperform other machine learning classifier for botnet apps’ detection, i.e 99.49% accuracy is achieved. Further, from manual inspection of botnet dataset we have extracted interesting trends in those applications. As an outcome of this research, a mobile botnet dataset is devised which will become the benchmark for future studies. PMID:26978523

  12. Comparative survival analysis of breast cancer microarray studies identifies important prognostic genetic pathways

    Directory of Open Access Journals (Sweden)

    Liu Song

    2010-10-01

    Full Text Available Abstract Background An estimated 12% of females in the United States will develop breast cancer in their lifetime. Although, there are advances in treatment options including surgery and chemotherapy, breast cancer is still the second most lethal cancer in women. Thus, there is a clear need for better methods to predict prognosis for each breast cancer patient. With the advent of large genetic databases and the reduction in cost for the experiments, researchers are faced with choosing from a large pool of potential prognostic markers from numerous breast cancer gene expression profile studies. Methods Five microarray datasets related to breast cancer were examined using gene set analysis and the cancers were categorized into different subtypes using a scoring system based on genetic pathway activity. Results We have observed that significant genes in the individual studies show little reproducibility across the datasets. From our comparative analysis, using gene pathways with clinical variables is more reliable across studies and shows promise in assessing a patient's prognosis. Conclusions This study concludes that, in light of clinical variables, there are significant gene pathways in common across the datasets. Specifically, several pathways can further significantly stratify patients for survival. These candidate pathways should help to develop a panel of significant biomarkers for the prognosis of breast cancer patients in a clinical setting.

  13. High-throughput mathematical analysis identifies Turing networks for patterning with equally diffusing signals.

    Science.gov (United States)

    Marcon, Luciano; Diego, Xavier; Sharpe, James; Müller, Patrick

    2016-01-01

    The Turing reaction-diffusion model explains how identical cells can self-organize to form spatial patterns. It has been suggested that extracellular signaling molecules with different diffusion coefficients underlie this model, but the contribution of cell-autonomous signaling components is largely unknown. We developed an automated mathematical analysis to derive a catalog of realistic Turing networks. This analysis reveals that in the presence of cell-autonomous factors, networks can form a pattern with equally diffusing signals and even for any combination of diffusion coefficients. We provide a software (available at http://www.RDNets.com) to explore these networks and to constrain topologies with qualitative and quantitative experimental data. We use the software to examine the self-organizing networks that control embryonic axis specification and digit patterning. Finally, we demonstrate how existing synthetic circuits can be extended with additional feedbacks to form Turing reaction-diffusion systems. Our study offers a new theoretical framework to understand multicellular pattern formation and enables the wide-spread use of mathematical biology to engineer synthetic patterning systems. PMID:27058171

  14. The microarray expression analysis identifies BAX as a mediator of beta-carotene effects on apoptosis.

    Science.gov (United States)

    Bodzioch, Marek; Dembinska-Kiec, Aldona; Hartwich, Jadwiga; Lapicka-Bodzioch, Katarzyna; Banas, Agnieszka; Polus, Anna; Grzybowska, Joanna; Wybranska, Iwona; Dulinska, Joanna; Gil, Dorota; Laidler, Piotr; Placha, Wojciech; Zawada, Magdalena; Balana-Nowak, Agnieszka; Sacha, Tomasz; Kiec-Wilk, Beata; Skotnicki, Aleksander; Moehle, Christoph; Langmann, Thomas; Schmitz, Gerd

    2005-01-01

    Beta-carotene is a ubiquitous compound rich in foods. However, there are conflicting reports regarding its role in carcinogenesis. We performed a microarray expression analysis in normal [human umbilical vein endothelial cells (HUVECs)] and neoplastic (melanoma A375 and myelomonocytic leukemia U937) actively proliferating cells and found evidence that beta-carotene stimulated vital cellular functions in the former and suppressed them in the latter. These differential effects correlated with the expression of the proapoptotic BCL2-associated X protein (BAX), which was downregulated in HUVECs and upregulated in the two neoplastic cell lines. The quantitative expression analysis using real-time polymerase chain reaction largely confirmed the inhibition of B-cell CLL/lymphoma 2 (BCL2) pathway-mediated apoptosis in HUVECs and its activation in melanoma and leukemic cells. The assays for apoptosis, detecting DNA breaks and caspase activation, showed consistent proapoptotic and antiapoptotic effects in U937 and HUVEC lines, respectively. However, beta-carotene-induced expression changes of BAX and other BCL2 pathway genes did not lead to the predicted induction of apoptosis in the A375 cells. PMID:15860445

  15. Analysis of genetic diversity identified by amplified fragment length polymorphism marker in hybrid wheat.

    Science.gov (United States)

    Ejaz, M; Qidi, Z; Gaisheng, Z; Na, N; Huiyan, Z; Qunzhu, W

    2015-01-01

    Amplified fragment length polymorphism markers were used to assess genetic diversity in 10 male sterile wheat crop lines (hetero-cytoplasm with the same nucleus) in relation to a restorer wheat line. These male sterile lines were evaluated using 64 amplified fragment length polymorphism primer combinations, and 13 primers produced polymorphic bands, generating a total 682 fragments. Of the 682 fragments, 113 were polymorphic. The polymorphic information content and marker index values demonstrated the utility of the primer combinations used in the present study. Unweighted pair group method with arithmetic mean and principal coordinate analysis of the genotypic data revealed clustering of accessions based on genetic relationships, and accessions were separated into 2 groups with their restorer line. Jaccard's similarity coefficient values suggested good variability among the male sterile lines, indicating their utility in breeding programs. The fallouts of analysis of molecular variance showed large within-group population variation, accounting for 77% of variation, while among-group comparison accounted for 23% of the total molecular variation, which was statistically significant. The molecular diversity observed in this study will be useful for selecting appropriate accessions for plant improvement and hybridization through molecular-breeding approaches and for developing suitable conservation strategies. PMID:26345825

  16. SMARTbot: A Behavioral Analysis Framework Augmented with Machine Learning to Identify Mobile Botnet Applications.

    Science.gov (United States)

    Karim, Ahmad; Salleh, Rosli; Khan, Muhammad Khurram

    2016-01-01

    Botnet phenomenon in smartphones is evolving with the proliferation in mobile phone technologies after leaving imperative impact on personal computers. It refers to the network of computers, laptops, mobile devices or tablets which is remotely controlled by the cybercriminals to initiate various distributed coordinated attacks including spam emails, ad-click fraud, Bitcoin mining, Distributed Denial of Service (DDoS), disseminating other malwares and much more. Likewise traditional PC based botnet, Mobile botnets have the same operational impact except the target audience is particular to smartphone users. Therefore, it is import to uncover this security issue prior to its widespread adaptation. We propose SMARTbot, a novel dynamic analysis framework augmented with machine learning techniques to automatically detect botnet binaries from malicious corpus. SMARTbot is a component based off-device behavioral analysis framework which can generate mobile botnet learning model by inducing Artificial Neural Networks' back-propagation method. Moreover, this framework can detect mobile botnet binaries with remarkable accuracy even in case of obfuscated program code. The results conclude that, a classifier model based on simple logistic regression outperform other machine learning classifier for botnet apps' detection, i.e 99.49% accuracy is achieved. Further, from manual inspection of botnet dataset we have extracted interesting trends in those applications. As an outcome of this research, a mobile botnet dataset is devised which will become the benchmark for future studies. PMID:26978523

  17. Identifying Flood-Related Infectious Diseases in Anhui Province, China: A Spatial and Temporal Analysis.

    Science.gov (United States)

    Gao, Lu; Zhang, Ying; Ding, Guoyong; Liu, Qiyong; Jiang, Baofa

    2016-04-01

    The aim of this study was to explore infectious diseases related to the 2007 Huai River flood in Anhui Province, China. The study was based on the notified incidences of infectious diseases between June 29 and July 25 from 2004 to 2011. Daily incidences of notified diseases in 2007 were compared with the corresponding daily incidences during the same period in the other years (from 2004 to 2011, except 2007) by Poisson regression analysis. Spatial autocorrelation analysis was used to test the distribution pattern of the diseases. Spatial regression models were then performed to examine the association between the incidence of each disease and flood, considering lag effects and other confounders. After controlling the other meteorological and socioeconomic factors, malaria (odds ratio [OR] = 3.67, 95% confidence interval [CI] = 1.77-7.61), diarrhea (OR = 2.16, 95% CI = 1.24-3.78), and hepatitis A virus (HAV) infection (OR = 6.11, 95% CI = 1.04-35.84) were significantly related to the 2007 Huai River flood both from the spatial and temporal analyses. Special attention should be given to develop public health preparation and interventions with a focus on malaria, diarrhea, and HAV infection, in the study region. PMID:26903612

  18. Analysis of nascent RNA identifies a unified architecture of initiation regions at mammalian promoters and enhancers.

    Science.gov (United States)

    Core, Leighton J; Martins, André L; Danko, Charles G; Waters, Colin T; Siepel, Adam; Lis, John T

    2014-12-01

    Despite the conventional distinction between them, promoters and enhancers share many features in mammals, including divergent transcription and similar modes of transcription factor binding. Here we examine the architecture of transcription initiation through comprehensive mapping of transcription start sites (TSSs) in human lymphoblastoid B cell (GM12878) and chronic myelogenous leukemic (K562) ENCODE Tier 1 cell lines. Using a nuclear run-on protocol called GRO-cap, which captures TSSs for both stable and unstable transcripts, we conduct detailed comparisons of thousands of promoters and enhancers in human cells. These analyses identify a common architecture of initiation, including tightly spaced (110 bp apart) divergent initiation, similar frequencies of core promoter sequence elements, highly positioned flanking nucleosomes and two modes of transcription factor binding. Post-initiation transcript stability provides a more fundamental distinction between promoters and enhancers than patterns of histone modification and association of transcription factors or co-activators. These results support a unified model of transcription initiation at promoters and enhancers. PMID:25383968

  19. Altered lipid metabolism in the aging kidney identified by three layered omic analysis.

    Science.gov (United States)

    Braun, Fabian; Rinschen, Markus M; Bartels, Valerie; Frommolt, Peter; Habermann, Bianca; Hoeijmakers, Jan H J; Schumacher, Björn; Dollé, Martijn E T; Müller, Roman-Ulrich; Benzing, Thomas; Schermer, Bernhard; Kurschat, Christine E

    2016-03-01

    Aging-associated diseases and their comorbidities affect the life of a constantly growing proportion of the population in developed countries. At the center of these comorbidities are changes of kidney structure and function as age-related chronic kidney disease predisposes to the development of cardiovascular diseases such as stroke, myocardial infarction or heart failure. To detect molecular mechanisms involved in kidney aging, we analyzed gene expression profiles of kidneys from adult and aged wild-type mice by transcriptomic, proteomic and targeted lipidomic methodologies. Interestingly, transcriptome and proteome analyses revealed differential expression of genes primarily involved in lipid metabolism and immune response. Additional lipidomic analyses uncovered significant age-related differences in the total amount of phosphatidylethanolamines, phosphatidylcholines and sphingomyelins as well as in subspecies of phosphatidylserines and ceramides with age. By integration of these datasets we identified Aldh1a1, a key enzyme in vitamin A metabolism specifically expressed in the medullary ascending limb, as one of the most prominent upregulated proteins in old kidneys. Moreover, ceramidase Asah1 was highly expressed in aged kidneys, consistent with a decrease in ceramide C16. In summary, our data suggest that changes in lipid metabolism are involved in the process of kidney aging and in the development of chronic kidney disease. PMID:26886165

  20. Comparative Transcriptome Analysis Identifies Candidate Genes Related to Skin Color Differentiation in Red Tilapia.

    Science.gov (United States)

    Zhu, Wenbin; Wang, Lanmei; Dong, Zaijie; Chen, Xingting; Song, Feibiao; Liu, Nian; Yang, Hui; Fu, Jianjun

    2016-01-01

    Red tilapia is becoming more popular for aquaculture production in China in recent years. However, the pigmentation differentiation in genetic breeding is the main problem limiting its development of commercial red tilapia culture and the genetic basis of skin color variation is still unknown. In this study, we conducted Illumina sequencing of transcriptome on three color variety red tilapia. A total of 224,895,758 reads were generated, resulting in 160,762 assembled contigs that were used as reference contigs. The contigs of red tilapia transcriptome had hits in the range of 53.4% to 86.7% of the unique proteins of zebrafish, fugu, medaka, three-spined stickleback and tilapia. And 44,723 contigs containing 77,423 simple sequence repeats (SSRs) were identified, with 16,646 contigs containing more than one SSR. Three skin transcriptomes were compared pairwise and the results revealed that there were 148 common significantly differentially expressed unigenes and several key genes related to pigment synthesis, i.e. tyr, tyrp1, silv, sox10, slc24a5, cbs and slc7a11, were included. The results will facilitate understanding the molecular mechanisms of skin pigmentation differentiation in red tilapia and accelerate the molecular selection of the specific strain with consistent skin colors. PMID:27511178

  1. Ethical issues in rehabilitation: a qualitative analysis of dilemmas identified by occupational therapists.

    Science.gov (United States)

    Foye, Sarah Jajesnica; Kirschner, Kristi L; Brady Wagner, Lynne C; Stocking, Carol; Siegler, Mark

    2002-01-01

    Little available research exists to address the range of ethical issues encountered by occupational therapists (OTs) in their daily clinical work. The few articles in the literature have tended to be case-based or anecdotal or have focused on professional issues rather than clinical issues. To characterize the array of clinical ethical issues in occupational therapy, we asked OTs in a free-standing academic rehabilitation hospital to describe in some detail up to three scenarios or situations from their clinical practice that raised morally troubling questions. A coding system was developed to preserve the richness of the detail but to allow for some categorization of the topics. A second section of the survey asked the therapists to rate whether various traditional ethics topics were of high, medium, or low interest to them. A third section asked that they identify the formats that would be most appealing to them for future educational interventions. Of the 56 therapists surveyed, 38 (or 68%) responded. The three self-generated topics mentioned most frequently by the therapists were (in decreasing order of frequency): reimbursement pressures, conflicts around goal setting, and patient/family refusal of team recommendations. The respondents were particularly interested in knowing more about patient-centered ethics topics, such as conflict resolution between teams and patients and the patient's role in decision making. Furthermore, they indicated a strong preference for interdisciplinary and interactive educational formats. PMID:14523711

  2. Genome-wide association analysis identifies six new loci associated with forced vital capacity.

    Science.gov (United States)

    Loth, Daan W; Soler Artigas, María; Gharib, Sina A; Wain, Louise V; Franceschini, Nora; Koch, Beate; Pottinger, Tess D; Smith, Albert Vernon; Duan, Qing; Oldmeadow, Chris; Lee, Mi Kyeong; Strachan, David P; James, Alan L; Huffman, Jennifer E; Vitart, Veronique; Ramasamy, Adaikalavan; Wareham, Nicholas J; Kaprio, Jaakko; Wang, Xin-Qun; Trochet, Holly; Kähönen, Mika; Flexeder, Claudia; Albrecht, Eva; Lopez, Lorna M; de Jong, Kim; Thyagarajan, Bharat; Alves, Alexessander Couto; Enroth, Stefan; Omenaas, Ernst; Joshi, Peter K; Fall, Tove; Viñuela, Ana; Launer, Lenore J; Loehr, Laura R; Fornage, Myriam; Li, Guo; Wilk, Jemma B; Tang, Wenbo; Manichaikul, Ani; Lahousse, Lies; Harris, Tamara B; North, Kari E; Rudnicka, Alicja R; Hui, Jennie; Gu, Xiangjun; Lumley, Thomas; Wright, Alan F; Hastie, Nicholas D; Campbell, Susan; Kumar, Rajesh; Pin, Isabelle; Scott, Robert A; Pietiläinen, Kirsi H; Surakka, Ida; Liu, Yongmei; Holliday, Elizabeth G; Schulz, Holger; Heinrich, Joachim; Davies, Gail; Vonk, Judith M; Wojczynski, Mary; Pouta, Anneli; Johansson, Asa; Wild, Sarah H; Ingelsson, Erik; Rivadeneira, Fernando; Völzke, Henry; Hysi, Pirro G; Eiriksdottir, Gudny; Morrison, Alanna C; Rotter, Jerome I; Gao, Wei; Postma, Dirkje S; White, Wendy B; Rich, Stephen S; Hofman, Albert; Aspelund, Thor; Couper, David; Smith, Lewis J; Psaty, Bruce M; Lohman, Kurt; Burchard, Esteban G; Uitterlinden, André G; Garcia, Melissa; Joubert, Bonnie R; McArdle, Wendy L; Musk, A Bill; Hansel, Nadia; Heckbert, Susan R; Zgaga, Lina; van Meurs, Joyce B J; Navarro, Pau; Rudan, Igor; Oh, Yeon-Mok; Redline, Susan; Jarvis, Deborah L; Zhao, Jing Hua; Rantanen, Taina; O'Connor, George T; Ripatti, Samuli; Scott, Rodney J; Karrasch, Stefan; Grallert, Harald; Gaddis, Nathan C; Starr, John M; Wijmenga, Cisca; Minster, Ryan L; Lederer, David J; Pekkanen, Juha; Gyllensten, Ulf; Campbell, Harry; Morris, Andrew P; Gläser, Sven; Hammond, Christopher J; Burkart, Kristin M; Beilby, John; Kritchevsky, Stephen B; Gudnason, Vilmundur; Hancock, Dana B; Williams, O Dale; Polasek, Ozren; Zemunik, Tatijana; Kolcic, Ivana; Petrini, Marcy F; Wjst, Matthias; Kim, Woo Jin; Porteous, David J; Scotland, Generation; Smith, Blair H; Viljanen, Anne; Heliövaara, Markku; Attia, John R; Sayers, Ian; Hampel, Regina; Gieger, Christian; Deary, Ian J; Boezen, H Marike; Newman, Anne; Jarvelin, Marjo-Riitta; Wilson, James F; Lind, Lars; Stricker, Bruno H; Teumer, Alexander; Spector, Timothy D; Melén, Erik; Peters, Marjolein J; Lange, Leslie A; Barr, R Graham; Bracke, Ken R; Verhamme, Fien M; Sung, Joohon; Hiemstra, Pieter S; Cassano, Patricia A; Sood, Akshay; Hayward, Caroline; Dupuis, Josée; Hall, Ian P; Brusselle, Guy G; Tobin, Martin D; London, Stephanie J

    2014-07-01

    Forced vital capacity (FVC), a spirometric measure of pulmonary function, reflects lung volume and is used to diagnose and monitor lung diseases. We performed genome-wide association study meta-analysis of FVC in 52,253 individuals from 26 studies and followed up the top associations in 32,917 additional individuals of European ancestry. We found six new regions associated at genome-wide significance (P < 5 × 10(-8)) with FVC in or near EFEMP1, BMP6, MIR129-2-HSD17B12, PRDM11, WWOX and KCNJ2. Two loci previously associated with spirometric measures (GSTCD and PTCH1) were related to FVC. Newly implicated regions were followed up in samples from African-American, Korean, Chinese and Hispanic individuals. We detected transcripts for all six newly implicated genes in human lung tissue. The new loci may inform mechanisms involved in lung development and the pathogenesis of restrictive lung disease. PMID:24929828

  3. Cluster analysis application identifies muscle characteristics of importance for beef tenderness

    Directory of Open Access Journals (Sweden)

    Chriki Sghaier

    2012-12-01

    Full Text Available Abstract Background An important controversy in the relationship between beef tenderness and muscle characteristics including biochemical traits exists among meat researchers. The aim of this study is to explain variability in meat tenderness using muscle characteristics and biochemical traits available in the Integrated and Functional Biology of Beef (BIF-Beef database. The BIF-Beef data warehouse contains characteristic measurements from animal, muscle, carcass, and meat quality derived from numerous experiments. We created three classes for tenderness (high, medium, and low based on trained taste panel tenderness scores of all meat samples consumed (4,366 observations from 40 different experiments. For each tenderness class, the corresponding means for the mechanical characteristics, muscle fibre type, collagen content, and biochemical traits which may influence tenderness of the muscles were calculated. Results Our results indicated that lower shear force values were associated with more tender meat. In addition, muscles in the highest tenderness cluster had the lowest total and insoluble collagen contents, the highest mitochondrial enzyme activity (isocitrate dehydrogenase, the highest proportion of slow oxidative muscle fibres, the lowest proportion of fast-glycolytic muscle fibres, and the lowest average muscle fibre cross-sectional area. Results were confirmed by correlation analyses, and differences between muscle types in terms of biochemical characteristics and tenderness score were evidenced by Principal Component Analysis (PCA. When the cluster analysis was repeated using only muscle samples from m. Longissimus thoracis (LT, the results were similar; only contrasting previous results by maintaining a relatively constant fibre-type composition between all three tenderness classes. Conclusion Our results show that increased meat tenderness is related to lower shear forces, lower insoluble collagen and total collagen content, lower

  4. Genome-wide meta-analysis identifies six novel loci associated with habitual coffee consumption.

    Science.gov (United States)

    Cornelis, M C; Byrne, E M; Esko, T; Nalls, M A; Ganna, A; Paynter, N; Monda, K L; Amin, N; Fischer, K; Renstrom, F; Ngwa, J S; Huikari, V; Cavadino, A; Nolte, I M; Teumer, A; Yu, K; Marques-Vidal, P; Rawal, R; Manichaikul, A; Wojczynski, M K; Vink, J M; Zhao, J H; Burlutsky, G; Lahti, J; Mikkilä, V; Lemaitre, R N; Eriksson, J; Musani, S K; Tanaka, T; Geller, F; Luan, J; Hui, J; Mägi, R; Dimitriou, M; Garcia, M E; Ho, W-K; Wright, M J; Rose, L M; Magnusson, P K E; Pedersen, N L; Couper, D; Oostra, B A; Hofman, A; Ikram, M A; Tiemeier, H W; Uitterlinden, A G; van Rooij, F J A; Barroso, I; Johansson, I; Xue, L; Kaakinen, M; Milani, L; Power, C; Snieder, H; Stolk, R P; Baumeister, S E; Biffar, R; Gu, F; Bastardot, F; Kutalik, Z; Jacobs, D R; Forouhi, N G; Mihailov, E; Lind, L; Lindgren, C; Michaëlsson, K; Morris, A; Jensen, M; Khaw, K-T; Luben, R N; Wang, J J; Männistö, S; Perälä, M-M; Kähönen, M; Lehtimäki, T; Viikari, J; Mozaffarian, D; Mukamal, K; Psaty, B M; Döring, A; Heath, A C; Montgomery, G W; Dahmen, N; Carithers, T; Tucker, K L; Ferrucci, L; Boyd, H A; Melbye, M; Treur, J L; Mellström, D; Hottenga, J J; Prokopenko, I; Tönjes, A; Deloukas, P; Kanoni, S; Lorentzon, M; Houston, D K; Liu, Y; Danesh, J; Rasheed, A; Mason, M A; Zonderman, A B; Franke, L; Kristal, B S; Karjalainen, J; Reed, D R; Westra, H-J; Evans, M K; Saleheen, D; Harris, T B; Dedoussis, G; Curhan, G; Stumvoll, M; Beilby, J; Pasquale, L R; Feenstra, B; Bandinelli, S; Ordovas, J M; Chan, A T; Peters, U; Ohlsson, C; Gieger, C; Martin, N G; Waldenberger, M; Siscovick, D S; Raitakari, O; Eriksson, J G; Mitchell, P; Hunter, D J; Kraft, P; Rimm, E B; Boomsma, D I; Borecki, I B; Loos, R J F; Wareham, N J; Vollenweider, P; Caporaso, N; Grabe, H J; Neuhouser, M L; Wolffenbuttel, B H R; Hu, F B; Hyppönen, E; Järvelin, M-R; Cupples, L A; Franks, P W; Ridker, P M; van Duijn, C M; Heiss, G; Metspalu, A; North, K E; Ingelsson, E; Nettleton, J A; van Dam, R M; Chasman, D I

    2015-05-01

    Coffee, a major dietary source of caffeine, is among the most widely consumed beverages in the world and has received considerable attention regarding health risks and benefits. We conducted a genome-wide (GW) meta-analysis of predominately regular-type coffee consumption (cups per day) among up to 91,462 coffee consumers of European ancestry with top single-nucleotide polymorphisms (SNPs) followed-up in ~30 062 and 7964 coffee consumers of European and African-American ancestry, respectively. Studies from both stages were combined in a trans-ethnic meta-analysis. Confirmed loci were examined for putative functional and biological relevance. Eight loci, including six novel loci, met GW significance (log10Bayes factor (BF)>5.64) with per-allele effect sizes of 0.03-0.14 cups per day. Six are located in or near genes potentially involved in pharmacokinetics (ABCG2, AHR, POR and CYP1A2) and pharmacodynamics (BDNF and SLC6A4) of caffeine. Two map to GCKR and MLXIPL genes related to metabolic traits but lacking known roles in coffee consumption. Enhancer and promoter histone marks populate the regions of many confirmed loci and several potential regulatory SNPs are highly correlated with the lead SNP of each. SNP alleles near GCKR, MLXIPL, BDNF and CYP1A2 that were associated with higher coffee consumption have previously been associated with smoking initiation, higher adiposity and fasting insulin and glucose but lower blood pressure and favorable lipid, inflammatory and liver enzyme profiles (P<5 × 10(-8)).Our genetic findings among European and African-American adults reinforce the role of caffeine in mediating habitual coffee consumption and may point to molecular mechanisms underlying inter-individual variability in pharmacological and health effects of coffee. PMID:25288136

  5. Identifying the impact of climate and anthropic pressures on karst aquifers using wavelet analysis

    Science.gov (United States)

    Charlier, Jean-Baptiste; Ladouche, Bernard; Maréchal, Jean-Christophe

    2015-04-01

    This paper assesses the implications of climate and anthropic pressures on short to long-term changes in water resources in a Mediterranean karst using wavelet analysis. This approach was tested on 38-year (1974-2011) hydrogeological time series recorded at the Lez spring (South France), which is exploited for water supply. Firstly, we investigated inter-relationships in the frequency domain by cross-correlation across multiresolution levels. Our results showed that rainfall and spring discharge are highly correlated in the high frequency domain which reflects the hydrogeological response during flood events of typical highly karstified systems. Pumping and groundwater level are correlated in a lower frequency domain, illustrating seasonal to multi-year relationships. Secondly, continuous wavelet transform was applied to characterize the temporal variability of the inter-relationships involved. On the contrary to examples of "non-managed" karst aquifers in the literature, our results showed that the 10-year rainfall component was attenuate in the discharge signal. We assume that the reason is that the storage variations are strongly affected by pumping. This interesting result shows that possible long-term impacts of rainfall variability due to climate change may be masked by a high pumping rate. We showed also that despite an increase of the pumping rate from the 1980s, the stress on the groundwater resource does not increase from year to year. The present pumping strategy does not affect the drawdown in the long term, avoiding an over-exploitation of the aquifer. Finally, this study highlights the effectiveness of wavelet analysis in characterizing the response variability of karst systems where the hydrogeological regime is modified by pumping.

  6. Kinematic analysis quantifies gait abnormalities associated with lameness in broiler chickens and identifies evolutionary gait differences.

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    Gina Caplen

    Full Text Available This is the first time that gait characteristics of broiler (meat chickens have been compared with their progenitor, jungle fowl, and the first kinematic study to report a link between broiler gait parameters and defined lameness scores. A commercial motion-capturing system recorded three-dimensional temporospatial information during walking. The hypothesis was that the gait characteristics of non-lame broilers (n = 10 would be intermediate to those of lame broilers (n = 12 and jungle fowl (n = 10, tested at two ages: immature and adult. Data analysed using multi-level models, to define an extensive range of baseline gait parameters, revealed inter-group similarities and differences. Natural selection is likely to have made jungle fowl walking gait highly efficient. Modern broiler chickens possess an unbalanced body conformation due to intense genetic selection for additional breast muscle (pectoral hypertrophy and whole body mass. Together with rapid growth, this promotes compensatory gait adaptations to minimise energy expenditure and triggers high lameness prevalence within commercial flocks; lameness creating further disruption to the gait cycle and being an important welfare issue. Clear differences were observed between the two lines (short stance phase, little double-support, low leg lift, and little back displacement in adult jungle fowl; much double-support, high leg lift, and substantial vertical back movement in sound broilers presumably related to mass and body conformation. Similarities included stride length and duration. Additional modifications were also identified in lame broilers (short stride length and duration, substantial lateral back movement, reduced velocity presumably linked to musculo-skeletal abnormalities. Reduced walking velocity suggests an attempt to minimise skeletal stress and/or discomfort, while a shorter stride length and time, together with longer stance and double-support phases, are associated

  7. Integrative epigenetic profiling analysis identifies DNA methylation changes associated with chronic alcohol consumption.

    Science.gov (United States)

    Weng, Julia Tzu-Ya; Wu, Lawrence Shih-Hsin; Lee, Chau-Shoun; Hsu, Paul Wei-Che; Cheng, Andrew T A

    2015-09-01

    Alcoholism has always been a major public health concern in Taiwan, especially in the aboriginal communities. Emerging evidence supports the association between DNA methylation and alcoholism, though very few studies have examined the effect of chronic alcohol consumption on the epignome. Since 1986, we have been following up on the mental health conditions of four major aboriginal peoples of Taiwan. The 993 aboriginal people who underwent the phase 1 (1986) clinical interviews were followed up through phase 2 (1990-1992), and phase 3 (2003-2009). Selected individuals for the current study included 10 males from the phase 1 normal cohort who remained normal at phase 2 and became dependent on alcohol by phase 3 and 10 control subjects who have not had any drinking problems throughout the study. We profiled the DNA methylation changes in the blood samples collected at phases 2 and 3. Enrichment analyses have identified several biological processes related to immune system responses and aging in the control group. In contrast, differentially methylated genes in the case group were mostly associated with susceptibility to infections, as well as pathways related to muscular contraction and neural degeneration. The methylation levels of six genes were found to correlate with alcohol consumption. These include genes involved in neurogenesis (NPDC1) and inflammation (HERC5), as well as alcoholism-associated genes ADCY9, CKM, and PHOX2A. Given the limited sample size, our approach uncovered genes and disease pathways associated with chronic alcohol consumption at the epigenetic level. The results offer a preliminary methylome map that enhances our understanding of alcohol-induced damages and offers new targets for alcohol injury research. PMID:25555412

  8. Candidate Genes Involved in the Biosynthesis of Triterpenoid Saponins in Platycodon grandiflorum Identified by Transcriptome Analysis

    Science.gov (United States)

    Ma, Chun-Hua; Gao, Zheng-Jie; Zhang, Jia-Jin; Zhang, Wei; Shao, Jian-Hui; Hai, Mei-Rong; Chen, Jun-Wen; Yang, Sheng-Chao; Zhang, Guang-Hui

    2016-01-01

    Background: Platycodon grandiflorum is the only species in the genus Platycodon of the family Campanulaceae, which has been traditionally used as a medicinal plant for its lung-heat-clearing, antitussive, and expectorant properties in China, Japanese, and Korean. Oleanane-type triterpenoid saponins were the main chemical components of P. grandiflorum and platycodin D was the abundant and main bioactive component, but little is known about their biosynthesis in plants. Hence, P. grandiflorum is an ideal medicinal plant for studying the biosynthesis of Oleanane-type saponins. In addition, the genomic information of this important herbal plant is unavailable. Principal findings: A total of 58,580,566 clean reads were obtained, which were assembled into 34,053 unigenes, with an average length of 936 bp and N50 of 1,661 bp by analyzing the transcriptome data of P. grandiflorum. Among these 34,053 unigenes, 22,409 unigenes (65.80%) were annotated based on the information available from public databases, including Nr, NCBI, Swiss-Prot, KOG, and KEGG. Furthermore, 21 candidate cytochrome P450 genes and 17 candidate UDP-glycosyltransferase genes most likely involved in triterpenoid saponins biosynthesis pathway were discovered from the transcriptome sequencing of P. grandiflorum. In addition, 10,626 SSRs were identified based on the transcriptome data, which would provide abundant candidates of molecular markers for genetic diversity and genetic map for this medicinal plant. Conclusion: The genomic data obtained from P. grandiflorum, especially the identification of putative genes involved in triterpenoid saponins biosynthesis pathway, will facilitate our understanding of the biosynthesis of triterpenoid saponins at molecular level. PMID:27242873

  9. Analysis of gene order conservation in eukaryotes identifies transcriptionally and functionally linked genes.

    Directory of Open Access Journals (Sweden)

    Marcela Dávila López

    Full Text Available The order of genes in eukaryotes is not entirely random. Studies of gene order conservation are important to understand genome evolution and to reveal mechanisms why certain neighboring genes are more difficult to separate during evolution. Here, genome-wide gene order information was compiled for 64 species, representing a wide variety of eukaryotic phyla. This information is presented in a browser where gene order may be displayed and compared between species. Factors related to non-random gene order in eukaryotes were examined by considering pairs of neighboring genes. The evolutionary conservation of gene pairs was studied with respect to relative transcriptional direction, intergenic distance and functional relationship as inferred by gene ontology. The results show that among gene pairs that are conserved the divergently and co-directionally transcribed genes are much more common than those that are convergently transcribed. Furthermore, highly conserved pairs, in particular those of fungi, are characterized by a short intergenic distance. Finally, gene pairs of metazoa and fungi that are evolutionary conserved and that are divergently transcribed are much more likely to be related by function as compared to poorly conserved gene pairs. One example is the ribosomal protein gene pair L13/S16, which is unusual as it occurs both in fungi and alveolates. A specific functional relationship between these two proteins is also suggested by the fact that they are part of the same operon in both eubacteria and archaea. In conclusion, factors associated with non-random gene order in eukaryotes include relative gene orientation, intergenic distance and functional relationships. It seems likely that certain pairs of genes are conserved because the genes involved have a transcriptional and/or functional relationship. The results also indicate that studies of gene order conservation aid in identifying genes that are related in terms of transcriptional

  10. Metabolomics analysis identifies intestinal microbiota-derived biomarkers of colonization resistance in clindamycin-treated mice.

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    Robin L P Jump

    Full Text Available BACKGROUND: The intestinal microbiota protect the host against enteric pathogens through a defense mechanism termed colonization resistance. Antibiotics excreted into the intestinal tract may disrupt colonization resistance and alter normal metabolic functions of the microbiota. We used a mouse model to test the hypothesis that alterations in levels of bacterial metabolites in fecal specimens could provide useful biomarkers indicating disrupted or intact colonization resistance after antibiotic treatment. METHODS: To assess in vivo colonization resistance, mice were challenged with oral vancomycin-resistant Enterococcus or Clostridium difficile spores at varying time points after treatment with the lincosamide antibiotic clindamycin. For concurrent groups of antibiotic-treated mice, stool samples were analyzed using quantitative real-time polymerase chain reaction to assess changes in the microbiota and using non-targeted metabolic profiling. To assess whether the findings were applicable to another antibiotic class that suppresses intestinal anaerobes, similar experiments were conducted with piperacillin/tazobactam. RESULTS: Colonization resistance began to recover within 5 days and was intact by 12 days after clindamycin treatment, coinciding with the recovery bacteria from the families Lachnospiraceae and Ruminococcaceae, both part of the phylum Firmicutes. Clindamycin treatment caused marked changes in metabolites present in fecal specimens. Of 484 compounds analyzed, 146 (30% exhibited a significant increase or decrease in concentration during clindamycin treatment followed by recovery to baseline that coincided with restoration of in vivo colonization resistance. Identified as potential biomarkers of colonization resistance, these compounds included intermediates in carbohydrate or protein metabolism that increased (pentitols, gamma-glutamyl amino acids and inositol metabolites or decreased (pentoses, dipeptides with clindamycin treatment

  11. Candidate genes involved in the biosynthesis of triterpenoid saponins in Platycodon grandiflorum identified by transcriptome analysis

    Directory of Open Access Journals (Sweden)

    Chunhua eMa

    2016-05-01

    Full Text Available Background: Platycodon grandiflorum is the only species in the genus Platycodon of the family Campanulaceae, which has been traditionally used as a medicinal plant for its lung-heat-clearing, antitussive, and expectorant properties in China, Japanese and Korean. Oleanane-type triterpenoid saponins were the main chemical components of P. grandiflorum and platycodin D was the abundant and main bioactive component, but little is known about their biosynthesis in plants. Hence, P. grandiflorum is an ideal medicinal plant for studying the biosynthesis of Oleanane-type saponins. In addition, the genomic information of this important herbal plant is unavailable.Principal Findings:A total of 58,580,566 clean reads were obtained, which were assembled into 34,053 unigenes, with an average length of 936 bp and N50 of 1,661 bp by analyzing the transcriptome data of P. grandiflorum. Among these 34,053 unigenes, 22,409 unigenes (65.80% were annotated based on the information available from public databases, including Nr, NCBI, Swiss-Prot, KOG and KEGG. Furthermore, 21 candidate cytochrome P450 genes and 17 candidate UDP-glycosyltransferase genes most likely involved in triterpenoid saponins biosynthesis pathway were discovered from the transcriptome sequencing of P. grandiflorum. In addition, 10,626 SSRs were identified based on the transcriptome data, which would provide abundant candidates of molecular markers for genetic diversity and genetic map for this medicinal plant.Conclusion:The genomic data obtained from P. grandiflorum, especially the identification of putative genes involved in triterpenoid saponins biosynthesis pathway, will facilitate our understanding of the biosynthesis of triterpenoid saponins at molecular level.

  12. Hypothetical granulin-like molecule from Fasciola hepatica identified by bioinformatics analysis.

    Science.gov (United States)

    Machicado, Claudia; Marcos, Luis A; Zimic, Mirko

    2016-01-01

    Fasciola hepatica is considered an emergent human pathogen, causing liver fibrosis or cirrhosis, conditions that are known to be direct causes of cancer. Some parasites have been categorized by WHO as carcinogenic agents such as Opisthorchis viverrini, a relative of F. hepatica. Although these two parasites are from the same class (Trematoda), the role of F. hepatica in carcinogenesis is unclear. We hypothesized that F. hepatica might share some features with O. viverrini and to be responsible to induce proliferation of host cells. We analyzed the recently released genome of F. hepatica looking for a gene coding a granulin-like growth factor, a protein secreted by O. viverrini (Ov-GRN-1), which is a potent stimulator of proliferation of host cells. Using computational biology tools, we identified a granulin-like molecule in F. hepatica, here termed FhGLM, which has high sequence identity level to Ov-GRN-1 and human progranulin. We found evidence of an upstream promoter compatible with the expression of FhGLM. The FhGLM architecture showed to have five granulin domains, one of them, the domain 3, was homologue to Ov-GRN-1 and human GRNC. The structure of the FhGLM granulin domain 3 resulted to have the overall folding of its homologue the human GRNC. Our findings show the presence of a homologue of a potent modulator of cell growth in F. hepatica that might have, as other granulins, a proliferative action on host cells during fascioliasis. Future experimental assays to demonstrate the presence of FhGLM in F. hepatica are needed to confirm our hypothesis. PMID:27386259

  13. A Modified Delphi Study to Identify the Significant Works Pertaining to the Understanding of Reading Comprehension and Content Analysis of the Identified Works

    Science.gov (United States)

    Zunker, Norma D.

    2009-01-01

    The first part of this study explored the significant works pertaining to the understanding of reading comprehension using a Modified Delphi Method. A panel of reading comprehension experts in the field of reading identified 20 works they considered to be significant to the understanding of reading comprehension. The panel of experts additionally…

  14. Application of biclustering of gene expression data and gene set enrichment analysis methods to identify potentially disease causing nanomaterials

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    Andrew Williams

    2015-12-01

    Full Text Available Background: The presence of diverse types of nanomaterials (NMs in commerce is growing at an exponential pace. As a result, human exposure to these materials in the environment is inevitable, necessitating the need for rapid and reliable toxicity testing methods to accurately assess the potential hazards associated with NMs. In this study, we applied biclustering and gene set enrichment analysis methods to derive essential features of altered lung transcriptome following exposure to NMs that are associated with lung-specific diseases. Several datasets from public microarray repositories describing pulmonary diseases in mouse models following exposure to a variety of substances were examined and functionally related biclusters of genes showing similar expression profiles were identified. The identified biclusters were then used to conduct a gene set enrichment analysis on pulmonary gene expression profiles derived from mice exposed to nano-titanium dioxide (nano-TiO2, carbon black (CB or carbon nanotubes (CNTs to determine the disease significance of these data-driven gene sets.Results: Biclusters representing inflammation (chemokine activity, DNA binding, cell cycle, apoptosis, reactive oxygen species (ROS and fibrosis processes were identified. All of the NM studies were significant with respect to the bicluster related to chemokine activity (DAVID; FDR p-value = 0.032. The bicluster related to pulmonary fibrosis was enriched in studies where toxicity induced by CNT and CB studies was investigated, suggesting the potential for these materials to induce lung fibrosis. The pro-fibrogenic potential of CNTs is well established. Although CB has not been shown to induce fibrosis, it induces stronger inflammatory, oxidative stress and DNA damage responses than nano-TiO2 particles.Conclusion: The results of the analysis correctly identified all NMs to be inflammogenic and only CB and CNTs as potentially fibrogenic. In addition to identifying several

  15. Identifying Plant Part Composition of Forest Logging Residue Using Infrared Spectral Data and Linear Discriminant Analysis.

    Science.gov (United States)

    Acquah, Gifty E; Via, Brian K; Billor, Nedret; Fasina, Oladiran O; Eckhardt, Lori G

    2016-01-01

    As new markets, technologies and economies evolve in the low carbon bioeconomy, forest logging residue, a largely untapped renewable resource will play a vital role. The feedstock can however be variable depending on plant species and plant part component. This heterogeneity can influence the physical, chemical and thermochemical properties of the material, and thus the final yield and quality of products. Although it is challenging to control compositional variability of a batch of feedstock, it is feasible to monitor this heterogeneity and make the necessary changes in process parameters. Such a system will be a first step towards optimization, quality assurance and cost-effectiveness of processes in the emerging biofuel/chemical industry. The objective of this study was therefore to qualitatively classify forest logging residue made up of different plant parts using both near infrared spectroscopy (NIRS) and Fourier transform infrared spectroscopy (FTIRS) together with linear discriminant analysis (LDA). Forest logging residue harvested from several Pinus taeda (loblolly pine) plantations in Alabama, USA, were classified into three plant part components: clean wood, wood and bark and slash (i.e., limbs and foliage). Five-fold cross-validated linear discriminant functions had classification accuracies of over 96% for both NIRS and FTIRS based models. An extra factor/principal component (PC) was however needed to achieve this in FTIRS modeling. Analysis of factor loadings of both NIR and FTIR spectra showed that, the statistically different amount of cellulose in the three plant part components of logging residue contributed to their initial separation. This study demonstrated that NIR or FTIR spectroscopy coupled with PCA and LDA has the potential to be used as a high throughput tool in classifying the plant part makeup of a batch of forest logging residue feedstock. Thus, NIR/FTIR could be employed as a tool to rapidly probe/monitor the variability of forest

  16. Identifying the occurrence time of mainshocks by means of Natural Time Analysis

    Science.gov (United States)

    Sarlis, Nicholas V.; Skordas, Efthimios S.; Lazaridou, Mary S.; Varotsos, Panayiotis A.

    2016-04-01

    By employing the new view of time, termed natural time [1], recent advances on the natural time analysis of a seismic catalogue [2] include: First, the fluctuations of the order parameter κ1 of seismicity exhibit a minimum almost simultaneous with the initiation of a Seismic Electric Signals (SES) activity [3,4]. This opens the window of a deeper understanding of the critical nature of preseismic process [5]. Second, a spatiotemporal study of the fluctuations of the order parameter of seismicity leads to an estimate of the epicentral area of a major impending mainshock [6]. Third, by starting the natural time analysis of the seismicity in the candidate epicentral area at the initiation time of the SES activity, we find that the κ1 values converge to the critical value [7-9] κ_1=0.070 a few days to one week before a mainshock. Recent applications of this procedure are presented for mainshocks that occurred close to Athens [10] during the last few years. References [1] P. A. Varotsos, N. V. Sarlis and E. S. Skordas, Phys. Rev. E {66} (2002) 011902; Practica of Athens Academy {76} (2001) 294. [2] P.A.Varotsos, N.V. Sarlis, H.K. Tanaka and E.S. Skordas, Phys. Rev. E {72} (2005) 041103. [3] P. Varotsos and M. Lazaridou, Tectonophysics {188} (1991) 321. [4] P. A. Varotsos, N. V. Sarlis, E. S. Skordas, and M. S. Lazaridou, Tectonophysics {589} (2013) 116. [5] P. Varotsos, K. Alexopoulos and M. Lazaridou, Tectonophysics {224} (1993) 1. [6] N.V. Sarlis, E.S. Skordas, P.A. Varotsos, T. Nagao, M. Kamogawa, and S. Uyeda Proc Natl Acad Sci USA {112} (2015) 986. [7] P. Varotsos, N.V. Sarlis, E.S. Skordas, S. Uyeda, and M. Kamogawa, Proc Natl Acad Sci USA {108} (2011) 11361. [8] N.V. Sarlis, E.S. Skordas, P.A. Varotsos, T. Nagao, M. Kamogawa, H. Tanaka and S. Uyeda Proc Natl Acad Sci USA {110} (2013) 13734. [9] N.V. Sarlis, E.S. Skordas, M.S. Lazaridou, and P.A. Varotsos, Proc Japan Acad Ser. ? {84} (2008) 331. [10] P.A. Varotsos, N.V. Sarlis, E.S. Skordas, S.-R. G

  17. Network analysis identifies a putative role for the PPAR and type 1 interferon pathways in glucocorticoid actions in asthmatics

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    Diez Diego

    2012-06-01

    Full Text Available Abstract Background Asthma is a chronic inflammatory airway disease influenced by genetic and environmental factors that affects ~300 million people worldwide, leading to ~250,000 deaths annually. Glucocorticoids (GCs are well-known therapeutics that are used extensively to suppress airway inflammation in asthmatics. The airway epithelium plays an important role in the initiation and modulation of the inflammatory response. While the role of GCs in disease management is well understood, few studies have examined the holistic effects on the airway epithelium. Methods Gene expression data were used to generate a co-transcriptional network, which was interrogated to identify modules of functionally related genes. In parallel, expression data were mapped to the human protein-protein interaction (PPI network in order to identify modules with differentially expressed genes. A common pathways approach was applied to highlight genes and pathways functionally relevant and significantly altered following GC treatment. Results Co-transcriptional network analysis identified pathways involved in inflammatory processes in the epithelium of asthmatics, including the Toll-like receptor (TLR and PPAR signaling pathways. Analysis of the PPI network identified RXRA, PPARGC1A, STAT1 and IRF9, among others genes, as differentially expressed. Common pathways analysis highlighted TLR and PPAR signaling pathways, providing a link between general inflammatory processes and the actions of GCs. Promoter analysis identified genes regulated by the glucocorticoid receptor (GCR and PPAR pathways as well as highlighted the interferon pathway as a target of GCs. Conclusions Network analyses identified known genes and pathways associated with inflammatory processes in the airway epithelium of asthmatics. This workflow illustrated a hypothesis generating experimental design that integrated multiple analysis methods to produce a weight-of-evidence based approach upon which future

  18. Use of Parsimony Analysis to Identify Areas of Endemism of Chinese Birds: Implications for Conservation and Biogeography

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    Xiao-Lei Huang

    2010-05-01

    Full Text Available Parsimony analysis of endemicity (PAE was used to identify areas of endemism (AOEs for Chinese birds at the subregional level. Four AOEs were identified based on a distribution database of 105 endemic species and using 18 avifaunal subregions as the operating geographical units (OGUs. The four AOEs are the Qinghai-Zangnan Subregion, the Southwest Mountainous Subregion, the Hainan Subregion and the Taiwan Subregion. Cladistic analysis of subregions generally supports the division of China’s avifauna into Palaearctic and Oriental realms. Two PAE area trees were produced from two different distribution datasets (year 1976 and 2007. The 1976 topology has four distinct subregional branches; however, the 2007 topology has three distinct branches. Moreover, three Palaearctic subregions in the 1976 tree clustered together with the Oriental subregions in the 2007 tree. Such topological differences may reflect changes in the distribution of bird species through circa three decades.

  19. A new GWAS and meta-analysis with 1000Genomes imputation identifies novel risk variants for colorectal cancer

    Science.gov (United States)

    Al-Tassan, Nada A.; Whiffin, Nicola; Hosking, Fay J.; Palles, Claire; Farrington, Susan M.; Dobbins, Sara E.; Harris, Rebecca; Gorman, Maggie; Tenesa, Albert; Meyer, Brian F.; Wakil, Salma M.; Kinnersley, Ben; Campbell, Harry; Martin, Lynn; Smith, Christopher G.; Idziaszczyk, Shelley; Barclay, Ella; Maughan, Timothy S.; Kaplan, Richard; Kerr, Rachel; Kerr, David; Buchannan, Daniel D.; Ko Win, Aung; Hopper, John; Jenkins, Mark; Lindor, Noralane M.; Newcomb, Polly A.; Gallinger, Steve; Conti, David; Schumacher, Fred; Casey, Graham; Dunlop, Malcolm G.; Tomlinson, Ian P.; Cheadle, Jeremy P.; Houlston, Richard S.

    2015-01-01

    Genome-wide association studies (GWAS) of colorectal cancer (CRC) have identified 23 susceptibility loci thus far. Analyses of previously conducted GWAS indicate additional risk loci are yet to be discovered. To identify novel CRC susceptibility loci, we conducted a new GWAS and performed a meta-analysis with five published GWAS (totalling 7,577 cases and 9,979 controls of European ancestry), imputing genotypes utilising the 1000 Genomes Project. The combined analysis identified new, significant associations with CRC at 1p36.2 marked by rs72647484 (minor allele frequency [MAF] = 0.09) near CDC42 and WNT4 (P = 1.21 × 10−8, odds ratio [OR] = 1.21 ) and at 16q24.1 marked by rs16941835 (MAF = 0.21, P = 5.06 × 10−8; OR = 1.15) within the long non-coding RNA (lncRNA) RP11-58A18.1 and ~500 kb from the nearest coding gene FOXL1. Additionally we identified a promising association at 10p13 with rs10904849 intronic to CUBN (MAF = 0.32, P = 7.01 × 10-8; OR = 1.14). These findings provide further insights into the genetic and biological basis of inherited genetic susceptibility to CRC. Additionally, our analysis further demonstrates that imputation can be used to exploit GWAS data to identify novel disease-causing variants. PMID:25990418

  20. Joint GWAS Analysis: Comparing similar GWAS at different genomic resolutions identifies novel pathway associations with six complex diseases

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    Michael J. McGeachie

    2014-12-01

    Full Text Available We show here that combining two existing genome wide association studies (GWAS yields additional biologically relevant information, beyond that obtained by either GWAS separately. We propose Joint GWAS Analysis, a method that compares a pair of GWAS for similarity among the top SNP associations, top genes identified, gene functional clusters, and top biological pathways. We show that Joint GWAS Analysis identifies additional enriched biological pathways that would be missed by traditional Single-GWAS analysis. Furthermore, we examine the similarities of six complex genetic disorders at the SNP-level, gene-level, gene-cluster-level, and pathway-level. We make concrete hypotheses regarding novel pathway associations for several complex disorders considered, based on the results of Joint GWAS Analysis. Together, these results demonstrate that common complex disorders share substantially more genomic architecture than has been previously realized and that the meta-analysis of GWAS needs not be limited to GWAS of the same phenotype to be informative.

  1. Coevolution analysis of Hepatitis C virus genome to identify the structural and functional dependency network of viral proteins.

    Science.gov (United States)

    Champeimont, Raphaël; Laine, Elodie; Hu, Shuang-Wei; Penin, Francois; Carbone, Alessandra

    2016-01-01

    A novel computational approach of coevolution analysis allowed us to reconstruct the protein-protein interaction network of the Hepatitis C Virus (HCV) at the residue resolution. For the first time, coevolution analysis of an entire viral genome was realized, based on a limited set of protein sequences with high sequence identity within genotypes. The identified coevolving residues constitute highly relevant predictions of protein-protein interactions for further experimental identification of HCV protein complexes. The method can be used to analyse other viral genomes and to predict the associated protein interaction networks. PMID:27198619

  2. Meta-analysis of 74,046 individuals identifies 11 new susceptibility loci for Alzheimer’s disease

    OpenAIRE

    Lambert, Jean-Charles; Ibrahim-Verbaas, Carla A; Harold, Denise; Naj, Adam C.; Sims, Rebecca; Bellenguez, Céline; Jun, Gyungah; Destefano, Anita L.; Bis, Joshua C.; Beecham, Gary W.; Grenier-Boley, Benjamin; Russo, Giancarlo; Thornton-Wells, Tricia A.; Jones, Nicola; Smith, Albert V.

    2013-01-01

    Eleven susceptibility loci for late-onset Alzheimer's disease (LOAD) were identified by previous studies; however, a large portion of the genetic risk for this disease remains unexplained. We conducted a large, two-stage meta-analysis of genome-wide association studies (GWAS) in individuals of European ancestry. In stage 1, we used genotyped and imputed data (7,055,881 SNPs) to perform meta-analysis on 4 previously published GWAS data sets consisting of 17,008 Alzheimer's disease cases and 37...

  3. Coevolution analysis of Hepatitis C virus genome to identify the structural and functional dependency network of viral proteins

    Science.gov (United States)

    Champeimont, Raphaël; Laine, Elodie; Hu, Shuang-Wei; Penin, Francois; Carbone, Alessandra

    2016-05-01

    A novel computational approach of coevolution analysis allowed us to reconstruct the protein-protein interaction network of the Hepatitis C Virus (HCV) at the residue resolution. For the first time, coevolution analysis of an entire viral genome was realized, based on a limited set of protein sequences with high sequence identity within genotypes. The identified coevolving residues constitute highly relevant predictions of protein-protein interactions for further experimental identification of HCV protein complexes. The method can be used to analyse other viral genomes and to predict the associated protein interaction networks.

  4. Functional phylogenetic analysis of LGI proteins identifies an interaction motif crucial for myelination.

    Science.gov (United States)

    Kegel, Linde; Jaegle, Martine; Driegen, Siska; Aunin, Eerik; Leslie, Kris; Fukata, Yuko; Watanabe, Masahiko; Fukata, Masaki; Meijer, Dies

    2014-04-01

    The cellular interactions that drive the formation and maintenance of the insulating myelin sheath around axons are only partially understood. Leucine-rich glioma-inactivated (LGI) proteins play important roles in nervous system development and mutations in their genes have been associated with epilepsy and amyelination. Their function involves interactions with ADAM22 and ADAM23 cell surface receptors, possibly in apposing membranes, thus attenuating cellular interactions. LGI4-ADAM22 interactions are required for axonal sorting and myelination in the developing peripheral nervous system (PNS). Functional analysis revealed that, despite their high homology and affinity for ADAM22, LGI proteins are functionally distinct. To dissect the key residues in LGI proteins required for coordinating axonal sorting and myelination in the developing PNS, we adopted a phylogenetic and computational approach and demonstrate that the mechanism of action of LGI4 depends on a cluster of three amino acids on the outer surface of the LGI4 protein, thus providing a structural basis for the mechanistic differences in LGI protein function in nervous system development and evolution. PMID:24715463

  5. Neutron activation analysis techniques for identifying elemental status in Alzheimer's disease

    International Nuclear Information System (INIS)

    Brain tissue (hippocampus and cerebral cortex) from Alzheimer's disease and control individuals sampled from Eastern Canada and the United Kingdom were analyzed for Ag, Al, As, B, Br, Ca, Cd, Co, Cr, Cs, Cu, Fe, Hg, I, K, La, Mg, Mn, Mo, Ni, Rb, S, Sb, Sc, Se, Si, Sn, Sr, Ti, V and Zn. Neutron activation analysis (thermal and prompt gamma-ray) methods were used. Very highly significant differences (S**: probability less than 0.005) for both study areas were shown between Alzheimer's disease (AD) and control (C) individuals: AD>C for Al, Br, Ca and S, and AD< C for Se, V and Zn. Aluminium content of brain tissue ranged form 3.605 to 21.738 μg/g d.w. (AD) and 0.379 to 4.768 μg/g d.w. (C). No statistical evidence of aluminium accumulation with age was noted. Possible zinc deficiency (especially for hippocampal tissue), was observed with zinc ranges of 31.42 to 57.91 μg/g d.w. (AD) and 37.31 to 87.10 μg/g d.w. (C), for Alzheimer's disease patients. (author)

  6. Association analysis identifies Melampsora ×columbiana poplar leaf rust resistance SNPs.

    Directory of Open Access Journals (Sweden)

    Jonathan La Mantia

    Full Text Available Populus species are currently being domesticated through intensive time- and resource-dependent programs for utilization in phytoremediation, wood and paper products, and conversion to biofuels. Poplar leaf rust disease can greatly reduce wood volume. Genetic resistance is effective in reducing economic losses but major resistance loci have been race-specific and can be readily defeated by the pathogen. Developing durable disease resistance requires the identification of non-race-specific loci. In the presented study, area under the disease progress curve was calculated from natural infection of Melampsora ×columbiana in three consecutive years. Association analysis was performed using 412 P. trichocarpa clones genotyped with 29,355 SNPs covering 3,543 genes. We found 40 SNPs within 26 unique genes significantly associated (permutated P<0.05 with poplar rust severity. Moreover, two SNPs were repeated in all three years suggesting non-race-specificity and three additional SNPs were differentially expressed in other poplar rust interactions. These five SNPs were found in genes that have orthologs in Arabidopsis with functionality in pathogen induced transcriptome reprogramming, Ca²⁺/calmodulin and salicylic acid signaling, and tolerance to reactive oxygen species. The additive effect of non-R gene functional variants may constitute high levels of durable poplar leaf rust resistance. Therefore, these findings are of significance for speeding the genetic improvement of this long-lived, economically important organism.

  7. Analysis of availability of previously identified sites under alternative demographic criteria

    International Nuclear Information System (INIS)

    This study evaluates the effect of various alternative population criteria on the availability of suitable sites for new nuclear power plants. The population criteria investigated include population density limits of 500 and 750 persons per square mile within 30 miles of the site and three different limits on the total population in adjacent sectors. The site availability in the states with higher population density was investigated - using power pools, regional aggregations, and specific sites as appropriate. The results of this study indicate that the application of any of the alternative population criteria studied will not rule out the use of the nuclear option in the northeast quadrant of the United States. The analysis demonstrates that viable sites exist even in the states and service areas with the largest population densities. These results, together with a cursory examination of the rest of the United States indicating that both real and potential viable sites are available, confirms that the application of any of the alternative population criteria studied will not preclude the identification of suitable nuclear sites in any region

  8. High content analysis at single cell level identifies different cellular responses dependent on nanomaterial concentrations

    Science.gov (United States)

    Manshian, Bella B.; Munck, Sebastian; Agostinis, Patrizia; Himmelreich, Uwe; Soenen, Stefaan J.

    2015-09-01

    A mechanistic understanding of nanomaterial (NM) interaction with biological environments is pivotal for the safe transition from basic science to applied nanomedicine. NM exposure results in varying levels of internalized NM in different neighboring cells, due to variances in cell size, cell cycle phase and NM agglomeration. Using high-content analysis, we investigated the cytotoxic effects of fluorescent quantum dots on cultured cells, where all effects were correlated with the concentration of NMs at the single cell level. Upon binning the single cell data into different categories related to NM concentration, this study demonstrates, for the first time, that quantum dots activate both cytoprotective and cytotoxic mechanisms, resulting in a zero net result on the overall cell population, yet with significant effects in cells with higher cellular NM levels. Our results suggest that future NM cytotoxicity studies should correlate NM toxicity with cellular NM numbers on the single cell level, as conflicting mechanisms in particular cell subpopulations are commonly overlooked using classical toxicological methods.

  9. Co-expression network analysis identifies transcriptional modules in the mouse liver.

    Science.gov (United States)

    Liu, Wei; Ye, Hua

    2014-10-01

    The mouse liver transcriptome has been extensively studied but little is known about the global hepatic gene network of the mouse under normal physiological conditions. Understanding this will help reveal the transcriptional organization of the liver and elucidate its functional complexity. Here, weighted gene co-expression network analysis (WGCNA) was carried out to explore gene co-expression networks using large-scale microarray data from normal mouse livers. A total of 7,203 genes were parsed into 16 gene modules associated with protein catabolism, RNA processing, muscle contraction, transcriptional regulation, oxidation reduction, sterol biosynthesis, translation, fatty acid metabolism, immune response and others. The modules were organized into higher order co-expression groups. Hub genes in each module were found to be critical for module function. In sum, the analyses revealed the gene modular map of the mouse liver under normal physiological condition. These results provide a systems-level framework to help understand the complexity of the mouse liver at the molecular level, and should be beneficial in annotating uncharacterized genes. PMID:24816893

  10. Analysis of pan-genome to identify the core genes and essential genes of Brucella spp.

    Science.gov (United States)

    Yang, Xiaowen; Li, Yajie; Zang, Juan; Li, Yexia; Bie, Pengfei; Lu, Yanli; Wu, Qingmin

    2016-04-01

    Brucella spp. are facultative intracellular pathogens, that cause a contagious zoonotic disease, that can result in such outcomes as abortion or sterility in susceptible animal hosts and grave, debilitating illness in humans. For deciphering the survival mechanism of Brucella spp. in vivo, 42 Brucella complete genomes from NCBI were analyzed for the pan-genome and core genome by identification of their composition and function of Brucella genomes. The results showed that the total 132,143 protein-coding genes in these genomes were divided into 5369 clusters. Among these, 1710 clusters were associated with the core genome, 1182 clusters with strain-specific genes and 2477 clusters with dispensable genomes. COG analysis indicated that 44 % of the core genes were devoted to metabolism, which were mainly responsible for energy production and conversion (COG category C), and amino acid transport and metabolism (COG category E). Meanwhile, approximately 35 % of the core genes were in positive selection. In addition, 1252 potential essential genes were predicted in the core genome by comparison with a prokaryote database of essential genes. The results suggested that the core genes in Brucella genomes are relatively conservation, and the energy and amino acid metabolism play a more important role in the process of growth and reproduction in Brucella spp. This study might help us to better understand the mechanisms of Brucella persistent infection and provide some clues for further exploring the gene modules of the intracellular survival in Brucella spp. PMID:26724943

  11. Comparative Genomic Analysis of Meningitis- and Bacteremia-Causing Pneumococci Identifies a Common Core Genome.

    Science.gov (United States)

    Kulohoma, Benard W; Cornick, Jennifer E; Chaguza, Chrispin; Yalcin, Feyruz; Harris, Simon R; Gray, Katherine J; Kiran, Anmol M; Molyneux, Elizabeth; French, Neil; Parkhill, Julian; Faragher, Brian E; Everett, Dean B; Bentley, Stephen D; Heyderman, Robert S

    2015-10-01

    Streptococcus pneumoniae is a nasopharyngeal commensal that occasionally invades normally sterile sites to cause bloodstream infection and meningitis. Although the pneumococcal population structure and evolutionary genetics are well defined, it is not clear whether pneumococci that cause meningitis are genetically distinct from those that do not. Here, we used whole-genome sequencing of 140 isolates of S. pneumoniae recovered from bloodstream infection (n = 70) and meningitis (n = 70) to compare their genetic contents. By fitting a double-exponential decaying-function model, we show that these isolates share a core of 1,427 genes (95% confidence interval [CI], 1,425 to 1,435 genes) and that there is no difference in the core genome or accessory gene content from these disease manifestations. Gene presence/absence alone therefore does not explain the virulence behavior of pneumococci that reach the meninges. Our analysis, however, supports the requirement of a range of previously described virulence factors and vaccine candidates for both meningitis- and bacteremia-causing pneumococci. This high-resolution view suggests that, despite considerable competency for genetic exchange, all pneumococci are under considerable pressure to retain key components advantageous for colonization and transmission and that these components are essential for access to and survival in sterile sites. PMID:26259813

  12. Multilevel-analysis identify a cis-expression quantitative trait locus associated with risk of renal cell carcinoma

    OpenAIRE

    Shu, Xiang; Purdue, Mark P.; Ye, Yuanqing; Wood, Christopher G.; Chen, Meng; Wang, Zhaoming; Albanes, Demetrius; Pu, Xia; Huang, Maosheng; Stevens, Victoria L.; Diver, W. Ryan; Gapstur, Susan M.; Virtamo, Jarmo; Chow, Wong-Ho; Tannir, Nizar M.

    2015-01-01

    We conducted multilevel analyses to identify potential susceptibility loci for renal cell carcinoma (RCC), which may be overlooked in traditional genome-wide association studies (GWAS). A gene set enrichment analysis was performed utilizing a GWAS dataset comprised of 894 RCC cases and 1,516 controls using GenGen, SNP ratio test, and ALIGATOR. The antigen processing and presentation pathway was consistently significant (P = 0.001, = 0.004, and < 0.001, respectively). Versatile gene-based asso...

  13. Global analysis of induced transcription factors and cofactors identifies Tfdp2 as an essential coregulator during terminal erythropoiesis

    OpenAIRE

    Chen, Cynthia; Lodish, Harvey F.

    2014-01-01

    Key transcriptional regulators of terminal erythropoiesis, such as GATA1 and TAL1, have been well characterized, but transcription factors and cofactors and their expression modulations have not yet been explored on a global scale. Here we use global gene expression analysis to identify 28 transcription factors and 19 transcriptional cofactors induced during terminal erythroid differentiation and whose promoters are enriched for binding by GATA1 and TAL1. Utilizing protein-protein interaction...

  14. Comparative analysis to identify determinants of changing life style in Thermosynechococcus elongatus BP-1, a thermophilic cyanobacterium

    OpenAIRE

    Prabha, Ratna; Singh, Dhananjaya P; Gupta, Shailendra K.; de Farias, Sávio Torres; Rai, Anil

    2013-01-01

    A comparative genomics analysis among all forty whole genome sequences available for cyanobacteria (3 thermophiles– Thermosynechococcus elongatus BP-1, Synechococcus sp. JA-2-3B'a (2-13), Synechococcus sp. JA-3-3Ab and 37 mesophiles) was performed to identify genomic and proteomic factors responsible for the behaviour of T. elongatus BP-1, a thermophilic unicellular cyanobacterium with optimum growth temperature [OGT] of 55°C. Majority of genomic and proteomic characteristics for this cyanoba...

  15. A slacks-based Data Envelopment Analysis framework to identify differences in sustainability patterns between four contrasting dairy systems

    OpenAIRE

    Soteriades, Andreas Diomedes; Faverdin, Philippe; March, M.; Stott, A.W.

    2014-01-01

    World food production must increase to meet greater future demand without exacerbating climate change and despite dwindling resources. More efficient dairy farm production is therefore essential if farms are to becomeand remain- economically, socially and environmentally sustainable. Data Envelopment Analysis has been increasingly used to measure dairy farm efficiency. However, all studies identified have used radial models that do not account for the farms’ slacks, i.e. overused resources...

  16. Whole-genome association analysis to identify markers associated with recombination rates using single-nucleotide polymorphisms and microsatellites

    OpenAIRE

    Chen Liang; Liu Nianjun; Wang Shuang; Huang Song; Oh Cheongeun; Zhao Hongyu

    2005-01-01

    Abstract Recombination during meiosis is one of the most important biological processes, and the level of recombination rates for a given individual is under genetic control. In this study, we conducted genome-wide association studies to identify chromosomal regions associated with recombination rates. We analyzed genotype data collected on the pedigrees in the Collaborative Study on the Genetics on Alcoholism data provided by Genetic Analysis Workshop 14. A total of 315 microsatellites and 1...

  17. Hippocampal Gene Expression Meta-Analysis Identifies Aging and Age-Associated Spatial Learning Impairment (ASLI) Genes and Pathways

    OpenAIRE

    Uddin, Raihan K.; Singh, Shiva M.

    2013-01-01

    A number of gene expression microarray studies have been carried out in the past, which studied aging and age-associated spatial learning impairment (ASLI) in the hippocampus in animal models, with varying results. Data from such studies were never integrated to identify the most significant ASLI genes and to understand their effect. In this study we integrated these data involving rats using meta-analysis. Our results show that proper removal of batch effects from microarray data generated f...

  18. Differential expression and prognostic significance of SOX genes in pediatric medulloblastoma and ependymoma identified by microarray analysis

    OpenAIRE

    de Bont, Judith M.; Kros, Johan M.; Passier, Monique M.C.J.; Reddingius, Roel E.; Sillevis Smitt, Peter A.E.; Luider, Theo M.; Den Boer, Monique L.; Pieters, Rob

    2008-01-01

    The objective of this study was to identify differentially expressed and prognostically important genes in pediatric medulloblastoma and pediatric ependymoma by Affymetrix microarray analysis. Among the most discriminative genes, three members of the SOX transcription factor family were differentially expressed. Both SOX4 and SOX11 were significantly overexpressed in medulloblastoma (median, 11-fold and 5-fold, respectively) compared with ependymoma and normal cerebellum. SOX9 had greater exp...

  19. Application of Metabolic Flux Analysis to Identify the Mechanisms of Free Fatty Acid Toxicity to Human Hepatoma Cell Line

    OpenAIRE

    Srivastava, Shireesh; Chan, Christina

    2008-01-01

    Chronic exposure to elevated levels of free fatty acids (FFAs) has been shown to cause cell death (lipotoxicity), but the underlying mechanisms of lipotoxicity in hepatocytes remain unclear. We have previously shown that the saturated FFAs cause much greater toxicity to human hepatoma cells (HepG2) than the unsaturated ones (Srivastava and Chan, 2007). In this study, metabolic flux analysis (MFA) was applied to identify the metabolic changes associated with the cytotoxicity of saturated FFA. ...

  20. Genome-wide association analysis of more than 120,000 individuals identifies 15 new susceptibility loci for breast cancer

    Science.gov (United States)

    Michailidou, Kyriaki; Beesley, Jonathan; Lindstrom, Sara; Canisius, Sander; Dennis, Joe; Lush, Michael; Maranian, Mel J; Bolla, Manjeet K; Wang, Qin; Shah, Mitul; Perkins, Barbara J; Czene, Kamila; Eriksson, Mikael; Darabi, Hatef; Brand, Judith S; Bojesen, Stig E; Nordestgaard, Børge G; Flyger, Henrik; Nielsen, Sune F; Rahman, Nazneen; Turnbull, Clare; Fletcher, Olivia; Peto, Julian; Gibson, Lorna; dos-Santos-Silva, Isabel; Chang-Claude, Jenny; Flesch-Janys, Dieter; Rudolph, Anja; Eilber, Ursula; Behrens, Sabine; Nevanlinna, Heli; Muranen, Taru A; Aittomäki, Kristiina; Blomqvist, Carl; Khan, Sofia; Aaltonen, Kirsimari; Ahsan, Habibul; Kibriya, Muhammad G; Whittemore, Alice S; John, Esther M; Malone, Kathleen E; Gammon, Marilie D; Santella, Regina M; Ursin, Giske; Makalic, Enes; Schmidt, Daniel F; Casey, Graham; Hunter, David J; Gapstur, Susan M; Gaudet, Mia M; Diver, W Ryan; Haiman, Christopher A; Schumacher, Fredrick; Henderson, Brian E; Le Marchand, Loic; Berg, Christine D; Chanock, Stephen; Figueroa, Jonine; Hoover, Robert N; Lambrechts, Diether; Neven, Patrick; Wildiers, Hans; van Limbergen, Erik; Schmidt, Marjanka K; Broeks, Annegien; Verhoef, Senno; Cornelissen, Sten; Couch, Fergus J; Olson, Janet E; Hallberg, Emily; Vachon, Celine; Waisfisz, Quinten; Meijers-Heijboer, Hanne; Adank, Muriel A; van der Luijt, Rob B; Li, Jingmei; Liu, Jianjun; Humphreys, Keith; Kang, Daehee; Choi, Ji-Yeob; Park, Sue K; Yoo, Keun-Young; Matsuo, Keitaro; Ito, Hidemi; Iwata, Hiroji; Tajima, Kazuo; Guénel, Pascal; Truong, Thérèse; Mulot, Claire; Sanchez, Marie; Burwinkel, Barbara; Marme, Frederik; Surowy, Harald; Sohn, Christof; Wu, Anna H; Tseng, Chiu-chen; Van Den Berg, David; Stram, Daniel O; González-Neira, Anna; Benitez, Javier; Zamora, M Pilar; Perez, Jose Ignacio Arias; Shu, Xiao-Ou; Lu, Wei; Gao, Yu-Tang; Cai, Hui; Cox, Angela; Cross, Simon S; Reed, Malcolm WR; Andrulis, Irene L; Knight, Julia A; Glendon, Gord; Mulligan, Anna Marie; Sawyer, Elinor J; Tomlinson, Ian; Kerin, Michael J; Miller, Nicola; Lindblom, Annika; Margolin, Sara; Teo, Soo Hwang; Yip, Cheng Har; Taib, Nur Aishah Mohd; TAN, Gie-Hooi; Hooning, Maartje J; Hollestelle, Antoinette; Martens, John WM; Collée, J Margriet; Blot, William; Signorello, Lisa B; Cai, Qiuyin; Hopper, John L; Southey, Melissa C; Tsimiklis, Helen; Apicella, Carmel; Shen, Chen-Yang; Hsiung, Chia-Ni; Wu, Pei-Ei; Hou, Ming-Feng; Kristensen, Vessela N; Nord, Silje; Alnaes, Grethe I Grenaker; Giles, Graham G; Milne, Roger L; McLean, Catriona; Canzian, Federico; Trichopoulos, Dmitrios; Peeters, Petra; Lund, Eiliv; Sund, Malin; Khaw, Kay-Tee; Gunter, Marc J; Palli, Domenico; Mortensen, Lotte Maxild; Dossus, Laure; Huerta, Jose-Maria; Meindl, Alfons; Schmutzler, Rita K; Sutter, Christian; Yang, Rongxi; Muir, Kenneth; Lophatananon, Artitaya; Stewart-Brown, Sarah; Siriwanarangsan, Pornthep; Hartman, Mikael; Miao, Hui; Chia, Kee Seng; Chan, Ching Wan; Fasching, Peter A; Hein, Alexander; Beckmann, Matthias W; Haeberle, Lothar; Brenner, Hermann; Dieffenbach, Aida Karina; Arndt, Volker; Stegmaier, Christa; Ashworth, Alan; Orr, Nick; Schoemaker, Minouk J; Swerdlow, Anthony J; Brinton, Louise; Garcia-Closas, Montserrat; Zheng, Wei; Halverson, Sandra L; Shrubsole, Martha; Long, Jirong; Goldberg, Mark S; Labrèche, France; Dumont, Martine; Winqvist, Robert; Pylkäs, Katri; Jukkola-Vuorinen, Arja; Grip, Mervi; Brauch, Hiltrud; Hamann, Ute; Brüning, Thomas; Radice, Paolo; Peterlongo, Paolo; Manoukian, Siranoush; Bernard, Loris; Bogdanova, Natalia V; Dörk, Thilo; Mannermaa, Arto; Kataja, Vesa; Kosma, Veli-Matti; Hartikainen, Jaana M; Devilee, Peter; Tollenaar, Robert AEM; Seynaeve, Caroline; Van Asperen, Christi J; Jakubowska, Anna; Lubinski, Jan; Jaworska, Katarzyna; Huzarski, Tomasz; Sangrajrang, Suleeporn; Gaborieau, Valerie; Brennan, Paul; McKay, James; Slager, Susan; Toland, Amanda E; Ambrosone, Christine B; Yannoukakos, Drakoulis; Kabisch, Maria; Torres, Diana; Neuhausen, Susan L; Anton-Culver, Hoda; Luccarini, Craig; Baynes, Caroline; Ahmed, Shahana; Healey, Catherine S; Tessier, Daniel C; Vincent, Daniel; Bacot, Francois; Pita, Guillermo; Alonso, M Rosario; Álvarez, Nuria; Herrero, Daniel; Simard, Jacques; Pharoah, Paul PDP; Kraft, Peter; Dunning, Alison M; Chenevix-Trench, Georgia; Hall, Per; Easton, Douglas F

    2015-01-01

    Genome wide association studies (GWAS) and large scale replication studies have identified common variants in 79 loci associated with breast cancer, explaining ~14% of the familial risk of the disease. To identify new susceptibility loci, we performed a meta-analysis of 11 GWAS comprising of 15,748 breast cancer cases and 18,084 controls, and 46,785 cases and 42,892 controls from 41 studies genotyped on a 200K custom array (iCOGS). Analyses were restricted to women of European ancestry. Genotypes for more than 11M SNPs were generated by imputation using the 1000 Genomes Project reference panel. We identified 15 novel loci associated with breast cancer at P<5×10−8. Combining association analysis with ChIP-Seq data in mammary cell lines and ChIA-PET chromatin interaction data in ENCODE, we identified likely target genes in two regions: SETBP1 on 18q12.3 and RNF115 and PDZK1 on 1q21.1. One association appears to be driven by an amino-acid substitution in EXO1. PMID:25751625

  1. Evaluation of bioelectrical impedance analysis for identifying overweight individuals at increased cardiometabolic risk: a cross-sectional study.

    Directory of Open Access Journals (Sweden)

    Maxine J E Lamb

    Full Text Available OBJECTIVE: To investigate whether bioelectrical impedance analysis could be used to identify overweight individuals at increased cardiometabolic risk, defined as the presence of metabolic syndrome and/or diabetes. DESIGN AND METHODS: Cross-sectional study of a Scottish population including 1210 women and 788 men. The diagnostic performance of thresholds of percentage body fat measured by bioelectrical impedance analysis to identify people at increased cardiometabolic risk was assessed using receiver-operating characteristic curves. Odds ratios for increased cardiometabolic risk in body mass index categories associated with values above compared to below sex-specific percentage body fat thresholds with optimal diagnostic performance were calculated using multivariable logistic regression analyses. The validity of bioelectrical impedance analysis to measure percentage body fat in this population was tested by examining agreement between bioelectrical impedance analysis and dual-energy X-ray absorptiometry in a subgroup of individuals. RESULTS: Participants were aged 16-91 years and the optimal bioelectrical impedance analysis cut-points for percentage body fat for identifying people at increased cardiometabolic risk were 25.9% for men and 37.1% for women. Stratifying by these percentage body fat cut-points, the prevalence of increased cardiometabolic risk was 48% and 38% above the threshold and 24% and 19% below these thresholds for men and women, respectively. By comparison, stratifying by percentage body fat category had little impact on identifying increased cardiometabolic risk in normal weight and obese individuals. Fully adjusted odds ratios of being at increased cardiometabolic risk among overweight people with percentage body fat ≥ 25.9/37.1% compared with percentage body fat <25.9/37.1% as a reference were 1.93 (95% confidence interval: 1.20-3.10 for men and 1.79 (1.10-2.92 for women. CONCLUSION: Percentage body fat measured using

  2. Reliability analysis of the resting state can sensitively and specifically identify the presence of Parkinson disease.

    Science.gov (United States)

    Skidmore, F M; Yang, M; Baxter, L; von Deneen, K M; Collingwood, J; He, G; White, K; Korenkevych, D; Savenkov, A; Heilman, K M; Gold, M; Liu, Y

    2013-07-15

    Parkinson disease (PD) is characterized by a number of motor and behavioral abnormalities that could be considered deficits of a "no task" or "resting" state, including resting motor findings and defects in emerging from a resting state (e.g., resting tremor, elevated resting tone, abulia, akinesia, apathy). PET imaging, and recently, the MRI technique of continuous arterial spin labeling (CASL) have shown evidence of changes in metabolic patterns in individuals with PD. The purpose of this study was to learn if the presence of PD could be "predicted" based on resting fluctuations of the BOLD signal. Participants were 15 healthy controls, 14 subjects with PD, and 1 subject who presented as a control but later developed PD. The amplitude of the low frequency fluctuation (ALFF) was used as an index of brain activity level in the resting state. Participants with PD using this index showed a reliable decrease in activity in a number of regions, including the supplementary motor cortex, the mesial prefrontal cortex, the right middle frontal gyrus, and the left cerebellum (lobule VII/VIII) as well as increased activity in the right cerebellum (lobule IV/V). Using a cross validation approach we term "Reliability Mapping of Regional Differences" (RMRD) to analyze our sample, we were able to reliably distinguish participants with PD from controls with 92% sensitivity and 87% specificity. Our "pre-diagnostic" subject segregated in our analysis with the PD group. These results suggest that resting fMRI should be considered for development as a biomarker and analytical tool for evaluation of PD. PMID:21924367

  3. Principal components analysis to identify influences on research communication and engagement during an environmental disaster

    Science.gov (United States)

    Winters, Charlene A; Moore, Colleen F; Kuntz, Sandra W; Weinert, Clarann; Hernandez, Tanis; Black, Brad

    2016-01-01

    Objectives To discern community attitudes towards research engagement in Libby, Montana, the only Superfund site for which a public health emergency has been declared. Study design Survey study of convenience samples of residents near the Libby, Montana Superfund site. Participants Residents of the Libby, Montana area were recruited from a local retail establishment (N=120, survey 1) or a community event (N=127, survey 2). Measures Two surveys were developed in consultation with a Community Advisory Panel. Results Principal components of survey 1 showed four dimensions of community members' attitudes towards research engagement: (1) researcher communication and contributions to the community, (2) identity and affiliation of the researchers requesting participation, (3) potential personal barriers, including data confidentiality, painful or invasive procedures and effects on health insurance and (4) research benefits for the community, oneself or family. The score on the first factor was positively related to desire to participate in research (r=0.31, p=0.01). Scores on factors 2 and 3 were higher for those with diagnosis of asbestos-related disease (ARD) in the family (Cohen's d=0.41, 0.57). Survey 2 also found more positive attitudes towards research when a family member had ARD (Cohen's d=0.48). Conclusions Principal components analysis shows different dimensions of attitudes towards research engagement. The different dimensions are related to community members' desire to be invited to participate in research, awareness of past research in the community and having been screened or diagnosed with a health condition related to the Superfund contaminant. PMID:27507235

  4. Multi-SNP analysis of GWAS data identifies pathways associated with nonalcoholic fatty liver disease.

    Directory of Open Access Journals (Sweden)

    Qing-Rong Chen

    Full Text Available Non-alcoholic fatty liver disease (NAFLD is a common liver disease; the histological spectrum of which ranges from steatosis to steatohepatitis. Nonalcoholic steatohepatitis (NASH often leads to cirrhosis and development of hepatocellular carcinoma. To better understand pathogenesis of NAFLD, we performed the pathway of distinction analysis (PoDA on a genome-wide association study dataset of 250 non-Hispanic white female adult patients with NAFLD, who were enrolled in the NASH Clinical Research Network (CRN Database Study, to investigate whether biologic process variation measured through genomic variation of genes within these pathways was related to the development of steatohepatitis or cirrhosis. Pathways such as Recycling of eIF2:GDP, biosynthesis of steroids, Terpenoid biosynthesis and Cholesterol biosynthesis were found to be significantly associated with NASH. SNP variants in Terpenoid synthesis, Cholesterol biosynthesis and biosynthesis of steroids were associated with lobular inflammation and cytologic ballooning while those in Terpenoid synthesis were also associated with fibrosis and cirrhosis. These were also related to the NAFLD activity score (NAS which is derived from the histological severity of steatosis, inflammation and ballooning degeneration. Eukaryotic protein translation and recycling of eIF2:GDP related SNP variants were associated with ballooning, steatohepatitis and cirrhosis. Il2 signaling events mediated by PI3K, Mitotic metaphase/anaphase transition, and Prostanoid ligand receptors were also significantly associated with cirrhosis. Taken together, the results provide evidence for additional ways, beyond the effects of single SNPs, by which genetic factors might contribute to the susceptibility to develop a particular phenotype of NAFLD and then progress to cirrhosis. Further studies are warranted to explain potential important genetic roles of these biological processes in NAFLD.

  5. Identifying efficient dairy heifer producers using production costs and data envelopment analysis.

    Science.gov (United States)

    Heinrichs, A J; Jones, C M; Gray, S M; Heinrichs, P A; Cornelisse, S A; Goodling, R C

    2013-01-01

    During November and December 2011, data were collected from 44 dairy operations in 13 Pennsylvania counties. Researchers visited each farm to collect information regarding management practices and feeding, and costs for labor, health, bedding, and reproduction for replacement heifers from birth until first calving. Costs per heifer were broken up into 4 time periods: birth until weaning, weaning until 6 mo of age, 6 mo of age until breeding age, and heifers from breeding to calving. Milk production records for each herd were obtained from Dairy Herd Improvement. The average number of milking cows on farms in this study was 197.8 ± 280.1, with a range from 38 to 1,708. Total cost averaged $1,808.23 ± $338.62 from birth until freshening. Raising calves from birth to weaning cost $217.49 ± 86.21; raising heifers from weaning age through 6 mo of age cost $247.38 ± 78.89; raising heifers from 6 mo of age until breeding cost $607.02 ± 192.28; and total cost for bred heifers was $736.33 ± 162.86. Feed costs were the largest component of the cost to raise heifers from birth to calving, accounting for nearly 73% of the total. Data envelopment analysis determined that 9 of the 44 farms had no inefficiencies in inputs or outputs. These farms best combined feed and labor investments, spending, on average, $1,137.40 and $140.62/heifer for feed and labor. These heifers calved at 23.7 mo of age and produced 88.42% of the milk produced by older cows. In contrast, the 35 inefficient farms spent $227 more on feed and $78 more on labor per heifer for animals that calved 1.6 mo later and produced only 82% of the milk made by their mature herdmates. Efficiency was attained by herds with the lowest input costs, but herds with higher input costs were also able to be efficient if age at calving was low and milk production was high for heifers compared with the rest of the herd. PMID:24054291

  6. Promise and Pitfalls of Using Grain Size Analysis to Identify Glacial Sediments in Alpine Lake Cores.

    Science.gov (United States)

    Clark, D. H.

    2011-12-01

    Lakes fed by glacier outwash should have a clastic particle-size record distinct from non-glacial lakes in the same area, but do they? The unique turquoise color of alpine glacial lakes reflects the flux of suspended clastic glacial rock flour to those lakes; conversely, lakes not fed by outwash are generally clear with sediments dominated by organics or slope-wash from nearby hillslopes. This contrast in sediment types and sources should produce a distinct and measureable different in grain sizes between the two settings. Results from a variety of lakes suggest the actual situation is often more subtle and complex. I compare grain size results to other proxies to assess the value of grain size analysis for paleoglacier studies. Over the past 10 years, my colleagues and I have collected and analyzed sediment cores from a wide variety of lakes below small alpine glaciers in an attempt to constrain the timing and magnitude of alpine glaciation in those basins. The basic concept is that these lakes act as continuous catchments for any rock flour produced upstream by glacier abrasion; as a glacier grows, the flux of rock flour to the lake will also increase. If the glacier disappears entirely, rock flour deposition will also cease in short order. We have focused our research in basins with simple sedimentologic settings: mostly small, high-altitude, stripped granitic or metamorphic cirques in which the cirque glaciers are the primary source of clastic sediments. In most cases, the lakes are fed by meltwater from a modern glacier, but were ice free during the earlier Holocene. In such cases, the lake cores should record formation of and changes in activity of the glacier upstream. We used a Malvern Mastersizer 2000 laser particle size analyzer for our grain size analyses, as well as recording magnetic susceptibility, color, and organics for the same cores. The results indicate that although lakes often experience increases in silt and clay-size (<0.63 mm) clastic

  7. Application of Image Analysis to Identify Quartz Grains in Heavy Aggregates Susceptible to ASR in Radiation Shielding Concrete

    Directory of Open Access Journals (Sweden)

    Daria Jóźwiak-Niedźwiedzka

    2016-03-01

    Full Text Available Alkali-silica reaction (ASR is considered as a potential aging-related degradation phenomenon that might impair the durability of concrete in nuclear containments. The objective of this paper is the application of digital analysis of microscopic images to identify the content and size of quartz grains in heavy mineral aggregates. The range of investigation covered magnetite and hematite aggregates, known as good absorbers of gamma radiation. Image acquisition was performed using thin sections observed in transmitted cross-polarized light with λ plate. Image processing, consisting of identification of ferrum oxide and epoxy resin, and the subsequent application of a set of filtering operations resulted in an adequate image reduction allowing the grain size analysis. Quartz grains were classified according to their mean diameter so as to identify the reactive range. Accelerated mortar bar tests were performed to evaluate the ASR potential of the aggregates. The SiO2 content in the heavyweight aggregates determined using the image analysis of thin sections was similar to XRF test result. The content of reactive quartz hematite was 2.7%, suggesting that it would be prone to ASR. The expansion test, according to ASTM C1260, confirmed the prediction obtained using the digital image analysis.

  8. Transcriptomic Analysis Identifies Differentially Expressed Genes (DEGs) Associated with Bolting and Flowering in Radish (Raphanus sativus L.).

    Science.gov (United States)

    Nie, Shanshan; Li, Chao; Wang, Yan; Xu, Liang; Muleke, Everlyne M; Tang, Mingjia; Sun, Xiaochuan; Liu, Liwang

    2016-01-01

    The transition of vegetative growth to bolting and flowering is an important process in the life cycle of plants, which is determined by numerous genes forming an intricate network of bolting and flowering. However, no comprehensive identification and profiling of bolting and flowering-related genes have been carried out in radish. In this study, RNA-Seq technology was applied to analyze the differential gene expressions during the transition from vegetative stage to reproductive stage in radish. A total of 5922 differentially expressed genes (DEGs) including 779 up-regulated and 5143 down-regulated genes were isolated. Functional enrichment analysis suggested that some DEGs were involved in hormone signaling pathways and the transcriptional regulation of bolting and flowering. KEGG-based analysis identified 37 DEGs being involved in phytohormone signaling pathways. Moreover, 95 DEGs related to bolting and flowering were identified and integrated into various flowering pathways. Several critical genes including FT, CO, SOC1, FLC, and LFY were characterized and profiled by RT-qPCR analysis. Correlation analysis indicated that 24 miRNA-DEG pairs were involved in radish bolting and flowering. Finally, a miRNA-DEG-based schematic model of bolting and flowering regulatory network was proposed in radish. These outcomes provided significant insights into genetic control of radish bolting and flowering, and would facilitate unraveling molecular regulatory mechanism underlying bolting and flowering in root vegetable crops. PMID:27252709

  9. Mutational analysis to identify the residues essential for the inhibition of N-acetyl glutamate kinase of Corynebacterium glutamicum.

    Science.gov (United States)

    Huang, Yuanyuan; Zhang, Hao; Tian, Hongming; Li, Cheng; Han, Shuangyan; Lin, Ying; Zheng, Suiping

    2015-09-01

    N-acetyl glutamate kinase (NAGK) is a key enzyme in the synthesis of L-arginine that is inhibited by its end product L-arginine in Corynebacterium glutamicum (C. glutamicum). In this study, the potential binding sites of arginine and the residues essential for its inhibition were identified by homology modeling, inhibitor docking, and site-directed mutagenesis. The allosteric inhibition of NAGK was successfully alleviated by a mutation, as determined through analysis of mutant enzymes, which were overexpressed in vivo in C. glutamicum ATCC14067. Analysis of the mutant enzymes and docking analysis demonstrated that residue W23 positions an arginine molecule, and the interaction between arginine and residues L282, L283, and T284 may play an important role in the remote inhibitory process. Based on the results of the docking analysis of the effective mutants, we propose a linkage mechanism for the remote allosteric regulation of NAGK activity, in which residue R209 may play an essential role. In this study, the structure of the arginine-binding site of C. glutamicum NAGK (CgNAGK) was successfully predicted and the roles of the relevant residues were identified, providing new insight into the allosteric regulation of CgNAGK activity and a solid platform for the future construction of an optimized L-arginine producing strain. PMID:25750030

  10. More than meets the eye: Using cognitive work analysis to identify design requirements for future rail level crossing systems.

    Science.gov (United States)

    Salmon, Paul M; Lenné, Michael G; Read, Gemma J M; Mulvihill, Christine M; Cornelissen, Miranda; Walker, Guy H; Young, Kristie L; Stevens, Nicholas; Stanton, Neville A

    2016-03-01

    An increasing intensity of operations means that the longstanding safety issue of rail level crossings is likely to become worse in the transport systems of the future. It has been suggested that the failure to prevent collisions may be, in part, due to a lack of systems thinking during design, crash analysis, and countermeasure development. This paper presents a systems analysis of current active rail level crossing systems in Victoria, Australia that was undertaken to identify design requirements to improve safety in future rail level crossing environments. Cognitive work analysis was used to analyse rail level crossing systems using data derived from a range of activities. Overall the analysis identified a range of instances where modification or redesign in line with systems thinking could potentially improve behaviour and safety. A notable finding is that there are opportunities for redesign outside of the physical rail level crossing infrastructure, including improved data systems, in-vehicle warnings and modifications to design processes, standards and guidelines. The implications for future rail level crossing systems are discussed. PMID:26143077

  11. Identify the signature genes for diagnose of uveal melanoma by weight gene co-expression network analysis

    Institute of Scientific and Technical Information of China (English)

    Kai; Shi; Zhi-Tong; Bing; Gui-Qun; Cao; Ling; Guo; Ya-Na; Cao; Hai-Ou; Jiang; Mei-Xia; Zhang

    2015-01-01

    AIM: To identify and understand the relationship between co-expression pattern and clinic traits in uveal melanoma, weighted gene co-expression network analysis(WGCNA) is applied to investigate the gene expression levels and patient clinic features. Uveal melanoma is the most common primary eye tumor in adults. Although many studies have identified some important genes and pathways that were relevant to progress of uveal melanoma, the relationship between co-expression and clinic traits in systems level of uveal melanoma is unclear yet. We employ WGCNA to investigate the relationship underlying molecular and phenotype in this study.METHODS: Gene expression profile of uveal melanoma and patient clinic traits were collected from the Gene Expression Omnibus(GEO) database. The gene co-expression is calculated by WGCNA that is the R package software. The package is used to analyze the correlation between pairs of expression levels of genes.The function of the genes were annotated by gene ontology(GO).RESULTS: In this study, we identified four co-expression modules significantly correlated with clinictraits. Module blue positively correlated with radiotherapy treatment. Module purple positively correlates with tumor location(sclera) and negatively correlates with patient age. Module red positively correlates with sclera and negatively correlates with thickness of tumor. Module black positively correlates with the largest tumor diameter(LTD). Additionally, we identified the hug gene(top connectivity with other genes) in each module. The hub gene RPS15 A, PTGDS, CD53 and MSI2 might play a vital role in progress of uveal melanoma.CONCLUSION: From WGCNA analysis and hub gene calculation, we identified RPS15 A, PTGDS, CD53 and MSI2 might be target or diagnosis for uveal melanoma.

  12. A First-Stage Approximation to Identify New Imprinted Genes through Sequence Analysis of Its Coding Regions

    Science.gov (United States)

    Daura-Oller, Elias; Cabré, Maria; Montero, Miguel A.; Paternáin, José L.; Romeu, Antoni

    2009-01-01

    In the present study, a positive training set of 30 known human imprinted gene coding regions are compared with a set of 72 randomly sampled human nonimprinted gene coding regions (negative training set) to identify genomic features common to human imprinted genes. The most important feature of the present work is its ability to use multivariate analysis to look at variation, at coding region DNA level, among imprinted and non-imprinted genes. There is a force affecting genomic parameters that appears through the use of the appropriate multivariate methods (principle components analysis (PCA) and quadratic discriminant analysis (QDA)) to analyse quantitative genomic data. We show that variables, such as CG content, [bp]% CpG islands, [bp]% Large Tandem Repeats, and [bp]% Simple Repeats, are able to distinguish coding regions of human imprinted genes. PMID:19360135

  13. A First-Stage Approximation to Identify New Imprinted Genes through Sequence Analysis of Its Coding Regions

    Directory of Open Access Journals (Sweden)

    Elias Daura-Oller

    2009-01-01

    Full Text Available In the present study, a positive training set of 30 known human imprinted gene coding regions are compared with a set of 72 randomly sampled human nonimprinted gene coding regions (negative training set to identify genomic features common to human imprinted genes. The most important feature of the present work is its ability to use multivariate analysis to look at variation, at coding region DNA level, among imprinted and non-imprinted genes. There is a force affecting genomic parameters that appears through the use of the appropriate multivariate methods (principle components analysis (PCA and quadratic discriminant analysis (QDA to analyse quantitative genomic data. We show that variables, such as CG content, [bp]% CpG islands, [bp]% Large Tandem Repeats, and [bp]% Simple Repeats, are able to distinguish coding regions of human imprinted genes.

  14. Tiling microarray analysis of rice chromosome 10 to identify the transcriptome and relate its expression to chromosomal architecture

    DEFF Research Database (Denmark)

    Li, Lei; Wang, Xiangfeng; Xia, Mian;

    2005-01-01

    BACKGROUND: Sequencing and annotation of the genome of rice (Oryza sativa) have generated gene models in numbers that top all other fully sequenced species, with many lacking recognizable sequence homology to known genes. Experimental evaluation of these gene models and identification of new models...... will facilitate rice genome annotation and the application of this knowledge to other more complex cereal genomes. RESULTS: We report here an analysis of the chromosome 10 transcriptome of the two major rice subspecies, japonica and indica, using oligonucleotide tiling microarrays. This analysis...... comparative gene model mapping, the tiling microarray analysis identified 549 new models for the japonica chromosome, representing an 18% increase in the annotated protein-coding capacity. Furthermore, an asymmetric distribution of genome elements along the chromosome was found that coincides with the...

  15. An aggregate analysis of personal care products in the environment: Identifying the distribution of environmentally-relevant concentrations.

    Science.gov (United States)

    Hopkins, Zachary R; Blaney, Lee

    2016-01-01

    Over the past 3-4 decades, per capita consumption of personal care products (PCPs) has steadily risen, resulting in increased discharge of the active and inactive ingredients present in these products into wastewater collection systems. PCPs comprise a long list of compounds employed in toothpaste, sunscreen, lotions, soaps, body washes, and insect repellants, among others. While comprehensive toxicological studies are not yet available, an increasing body of literature has shown that PCPs of all classes can impact aquatic wildlife, bacteria, and/or mammalian cells at low concentrations. Ongoing research efforts have identified PCPs in a variety of environmental compartments, including raw wastewater, wastewater effluent, surface water, wastewater solids, sediment, groundwater, and drinking water. Here, an aggregate analysis of over 5000 reported detections was conducted to better understand the distribution of environmentally-relevant PCP concentrations in, and between, these compartments. The distributions were used to identify whether aggregated environmentally-relevant concentration ranges intersected with available toxicity data. For raw wastewater, wastewater effluent, and surface water, a clear overlap was present between the 25th-75th percentiles and identified toxicity levels. This analysis suggests that improved wastewater treatment of antimicrobials, UV filters, and polycyclic musks is required to prevent negative impacts on aquatic species. PMID:27128715

  16. A genome-wide association analysis identified a novel susceptible locus for pathological myopia at 11q24.1.

    Directory of Open Access Journals (Sweden)

    Hideo Nakanishi

    2009-09-01

    Full Text Available Myopia is one of the most common ocular disorders worldwide. Pathological myopia, also called high myopia, comprises 1% to 5% of the general population and is one of the leading causes of legal blindness in developed countries. To identify genetic determinants associated with pathological myopia in Japanese, we conducted a genome-wide association study, analyzing 411,777 SNPs with 830 cases and 1,911 general population controls in a two-stage design (297 cases and 934 controls in the first stage and 533 cases and 977 controls in the second stage. We selected 22 SNPs that showed P-values smaller than 10(-4 in the first stage and tested them for association in the second stage. The meta-analysis combining the first and second stages identified an SNP, rs577948, at chromosome 11q24.1, which was associated with the disease (P = 2.22x10(-7 and OR of 1.37 with 95% confidence interval: 1.21-1.54. Two genes, BLID and LOC399959, were identified within a 200-kb DNA encompassing rs577948. RT-PCR analysis demonstrated that both genes were expressed in human retinal tissue. Our results strongly suggest that the region at 11q24.1 is a novel susceptibility locus for pathological myopia in Japanese.

  17. Large-scale gene-centric meta-analysis across 39 studies identifies type 2 diabetes loci.

    Science.gov (United States)

    Saxena, Richa; Elbers, Clara C; Guo, Yiran; Peter, Inga; Gaunt, Tom R; Mega, Jessica L; Lanktree, Matthew B; Tare, Archana; Castillo, Berta Almoguera; Li, Yun R; Johnson, Toby; Bruinenberg, Marcel; Gilbert-Diamond, Diane; Rajagopalan, Ramakrishnan; Voight, Benjamin F; Balasubramanyam, Ashok; Barnard, John; Bauer, Florianne; Baumert, Jens; Bhangale, Tushar; Böhm, Bernhard O; Braund, Peter S; Burton, Paul R; Chandrupatla, Hareesh R; Clarke, Robert; Cooper-DeHoff, Rhonda M; Crook, Errol D; Davey-Smith, George; Day, Ian N; de Boer, Anthonius; de Groot, Mark C H; Drenos, Fotios; Ferguson, Jane; Fox, Caroline S; Furlong, Clement E; Gibson, Quince; Gieger, Christian; Gilhuijs-Pederson, Lisa A; Glessner, Joseph T; Goel, Anuj; Gong, Yan; Grant, Struan F A; Grobbee, Diederick E; Hastie, Claire; Humphries, Steve E; Kim, Cecilia E; Kivimaki, Mika; Kleber, Marcus; Meisinger, Christa; Kumari, Meena; Langaee, Taimour Y; Lawlor, Debbie A; Li, Mingyao; Lobmeyer, Maximilian T; Maitland-van der Zee, Anke-Hilse; Meijs, Matthijs F L; Molony, Cliona M; Morrow, David A; Murugesan, Gurunathan; Musani, Solomon K; Nelson, Christopher P; Newhouse, Stephen J; O'Connell, Jeffery R; Padmanabhan, Sandosh; Palmen, Jutta; Patel, Sanjey R; Pepine, Carl J; Pettinger, Mary; Price, Thomas S; Rafelt, Suzanne; Ranchalis, Jane; Rasheed, Asif; Rosenthal, Elisabeth; Ruczinski, Ingo; Shah, Sonia; Shen, Haiqing; Silbernagel, Günther; Smith, Erin N; Spijkerman, Annemieke W M; Stanton, Alice; Steffes, Michael W; Thorand, Barbara; Trip, Mieke; van der Harst, Pim; van der A, Daphne L; van Iperen, Erik P A; van Setten, Jessica; van Vliet-Ostaptchouk, Jana V; Verweij, Niek; Wolffenbuttel, Bruce H R; Young, Taylor; Zafarmand, M Hadi; Zmuda, Joseph M; Boehnke, Michael; Altshuler, David; McCarthy, Mark; Kao, W H Linda; Pankow, James S; Cappola, Thomas P; Sever, Peter; Poulter, Neil; Caulfield, Mark; Dominiczak, Anna; Shields, Denis C; Bhatt, Deepak L; Bhatt, Deepak; Zhang, Li; Curtis, Sean P; Danesh, John; Casas, Juan P; van der Schouw, Yvonne T; Onland-Moret, N Charlotte; Doevendans, Pieter A; Dorn, Gerald W; Farrall, Martin; FitzGerald, Garret A; Hamsten, Anders; Hegele, Robert; Hingorani, Aroon D; Hofker, Marten H; Huggins, Gordon S; Illig, Thomas; Jarvik, Gail P; Johnson, Julie A; Klungel, Olaf H; Knowler, William C; Koenig, Wolfgang; März, Winfried; Meigs, James B; Melander, Olle; Munroe, Patricia B; Mitchell, Braxton D; Bielinski, Susan J; Rader, Daniel J; Reilly, Muredach P; Rich, Stephen S; Rotter, Jerome I; Saleheen, Danish; Samani, Nilesh J; Schadt, Eric E; Shuldiner, Alan R; Silverstein, Roy; Kottke-Marchant, Kandice; Talmud, Philippa J; Watkins, Hugh; Asselbergs, Folkert W; Asselbergs, Folkert; de Bakker, Paul I W; McCaffery, Jeanne; Wijmenga, Cisca; Sabatine, Marc S; Wilson, James G; Reiner, Alex; Bowden, Donald W; Hakonarson, Hakon; Siscovick, David S; Keating, Brendan J

    2012-03-01

    To identify genetic factors contributing to type 2 diabetes (T2D), we performed large-scale meta-analyses by using a custom ∼50,000 SNP genotyping array (the ITMAT-Broad-CARe array) with ∼2000 candidate genes in 39 multiethnic population-based studies, case-control studies, and clinical trials totaling 17,418 cases and 70,298 controls. First, meta-analysis of 25 studies comprising 14,073 cases and 57,489 controls of European descent confirmed eight established T2D loci at genome-wide significance. In silico follow-up analysis of putative association signals found in independent genome-wide association studies (including 8,130 cases and 38,987 controls) performed by the DIAGRAM consortium identified a T2D locus at genome-wide significance (GATAD2A/CILP2/PBX4; p = 5.7 × 10(-9)) and two loci exceeding study-wide significance (SREBF1, and TH/INS; p < 2.4 × 10(-6)). Second, meta-analyses of 1,986 cases and 7,695 controls from eight African-American studies identified study-wide-significant (p = 2.4 × 10(-7)) variants in HMGA2 and replicated variants in TCF7L2 (p = 5.1 × 10(-15)). Third, conditional analysis revealed multiple known and novel independent signals within five T2D-associated genes in samples of European ancestry and within HMGA2 in African-American samples. Fourth, a multiethnic meta-analysis of all 39 studies identified T2D-associated variants in BCL2 (p = 2.1 × 10(-8)). Finally, a composite genetic score of SNPs from new and established T2D signals was significantly associated with increased risk of diabetes in African-American, Hispanic, and Asian populations. In summary, large-scale meta-analysis involving a dense gene-centric approach has uncovered additional loci and variants that contribute to T2D risk and suggests substantial overlap of T2D association signals across multiple ethnic groups. PMID:22325160

  18. Genome-wide transcriptional analysis of flagellar regeneration in Chlamydomonas reinhardtii identifies orthologs of ciliary disease genes

    Science.gov (United States)

    Stolc, Viktor; Samanta, Manoj Pratim; Tongprasit, Waraporn; Marshall, Wallace F.

    2005-01-01

    The important role that cilia and flagella play in human disease creates an urgent need to identify genes involved in ciliary assembly and function. The strong and specific induction of flagellar-coding genes during flagellar regeneration in Chlamydomonas reinhardtii suggests that transcriptional profiling of such cells would reveal new flagella-related genes. We have conducted a genome-wide analysis of RNA transcript levels during flagellar regeneration in Chlamydomonas by using maskless photolithography method-produced DNA oligonucleotide microarrays with unique probe sequences for all exons of the 19,803 predicted genes. This analysis represents previously uncharacterized whole-genome transcriptional activity profiling study in this important model organism. Analysis of strongly induced genes reveals a large set of known flagellar components and also identifies a number of important disease-related proteins as being involved with cilia and flagella, including the zebrafish polycystic kidney genes Qilin, Reptin, and Pontin, as well as the testis-expressed tubby-like protein TULP2.

  19. Application of FEPs analysis to identify research priorities relevant to the safety case for an Australian radioactive waste facility

    International Nuclear Information System (INIS)

    The Australian Nuclear Science and Technology Organisation (ANSTO) has established a project to undertake research relevant to the safety case for the proposed Australian radioactive waste facility. This facility will comprise a store for intermediate level radioactive waste, and either a store or a near-surface repository for low-level waste. In order to identify the research priorities for this project, a structured analysis of the features, events and processes (FEPs) relevant to the performance of the facility was undertaken. This analysis was based on the list of 137 FEPs developed by the IAEA project on 'Safety Assessment Methodologies for Near Surface Disposal Facilities' (ISAM). A number of key research issues were identified, and some factors which differ in significance for the store, compared to the repository concept, were highlighted. For example, FEPs related to long-term groundwater transport of radionuclides are considered to be of less significance for a store than a repository. On the other hand, structural damage from severe weather, accident or human interference is more likely for a store. The FEPs analysis has enabled the scientific research skills required for the inter-disciplinary project team to be specified. The outcomes of the research will eventually be utilised in developing the design, and assessing the performance, of the future facility. It is anticipated that a more detailed application of the FEPs methodology will be undertaken to develop the safety case for the proposed radioactive waste management facility. (authors)

  20. Pseudo-transition Analysis Identifies the Key Regulators of Dynamic Metabolic Adaptations from Steady-State Data.

    Science.gov (United States)

    Gerosa, Luca; Haverkorn van Rijsewijk, Bart R B; Christodoulou, Dimitris; Kochanowski, Karl; Schmidt, Thomas S B; Noor, Elad; Sauer, Uwe

    2015-10-28

    Hundreds of molecular-level changes within central metabolism allow a cell to adapt to the changing environment. A primary challenge in cell physiology is to identify which of these molecular-level changes are active regulatory events. Here, we introduce pseudo-transition analysis, an approach that uses multiple steady-state observations of (13)C-resolved fluxes, metabolites, and transcripts to infer which regulatory events drive metabolic adaptations following environmental transitions. Pseudo-transition analysis recapitulates known biology and identifies an unexpectedly sparse, transition-dependent regulatory landscape: typically a handful of regulatory events drive adaptation between carbon sources, with transcription mainly regulating TCA cycle flux and reactants regulating EMP pathway flux. We verify these observations using time-resolved measurements of the diauxic shift, demonstrating that some dynamic transitions can be approximated as monotonic shifts between steady-state extremes. Overall, we show that pseudo-transition analysis can explore the vast regulatory landscape of dynamic transitions using relatively few steady-state data, thereby guiding time-consuming, hypothesis-driven molecular validations. PMID:27136056

  1. Inter-sport variability of muscle volume distribution identified by segmental bioelectrical impedance analysis in four ball sports

    Directory of Open Access Journals (Sweden)

    Yamada Y

    2013-04-01

    Full Text Available Yosuke Yamada,1,2 Yoshihisa Masuo,3 Eitaro Nakamura,4 Shingo Oda5 1Laboratory of Sports and Health Science, Kyoto Prefectural University of Medicine, Kyoto, Japan; 2Japan Society for the Promotion of Science, Tokyo, Japan; 3Waseda University Research Institute for Elderly Health, Saitama, Japan; 4Department of Sport Science, Kyoto Iken College of Medicine and Health, Kyoto, Japan; 5Faculty of Health and Well-being, Kansai University, Osaka, Japan Abstract: The aim of this study was to evaluate and quantify differences in muscle distribution in athletes of various ball sports using segmental bioelectrical impedance analysis (SBIA. Participants were 115 male collegiate athletes from four ball sports (baseball, soccer, tennis, and lacrosse. Percent body fat (%BF and lean body mass were measured, and SBIA was used to measure segmental muscle volume (MV in bilateral upper arms, forearms, thighs, and lower legs. We calculated the MV ratios of dominant to nondominant, proximal to distal, and upper to lower limbs. The measurements consisted of a total of 31 variables. Cluster and factor analyses were applied to identify redundant variables. The muscle distribution was significantly different among groups, but the %BF was not. The classification procedures of the discriminant analysis could correctly distinguish 84.3% of the athletes. These results suggest that collegiate ball game athletes have adapted their physique to their sport movements very well, and the SBIA, which is an affordable, noninvasive, easy-to-operate, and fast alternative method in the field, can distinguish ball game athletes according to their specific muscle distribution within a 5-minute measurement. The SBIA could be a useful, affordable, and fast tool for identifying talents for specific sports. Keywords: discriminant analysis, cluster and factor analysis, segmental bioelectrical impedance analysis, baseball, lacrosse

  2. Microfluidic single-cell transcriptional analysis rationally identifies novel surface marker profiles to enhance cell-based therapies.

    Science.gov (United States)

    Rennert, Robert C; Januszyk, Michael; Sorkin, Michael; Rodrigues, Melanie; Maan, Zeshaan N; Duscher, Dominik; Whittam, Alexander J; Kosaraju, Revanth; Chung, Michael T; Paik, Kevin; Li, Alexander Y; Findlay, Michael; Glotzbach, Jason P; Butte, Atul J; Gurtner, Geoffrey C

    2016-01-01

    Current progenitor cell therapies have only modest efficacy, which has limited their clinical adoption. This may be the result of a cellular heterogeneity that decreases the number of functional progenitors delivered to diseased tissue, and prevents correction of underlying pathologic cell population disruptions. Here, we develop a high-resolution method of identifying phenotypically distinct progenitor cell subpopulations via single-cell transcriptional analysis and advanced bioinformatics. When combined with high-throughput cell surface marker screening, this approach facilitates the rational selection of surface markers for prospective isolation of cell subpopulations with desired transcriptional profiles. We establish the usefulness of this platform in costly and highly morbid diabetic wounds by identifying a subpopulation of progenitor cells that is dysfunctional in the diabetic state, and normalizes diabetic wound healing rates following allogeneic application. We believe this work presents a logical framework for the development of targeted cell therapies that can be customized to any clinical application. PMID:27324848

  3. Identifying like-minded audiences for global warming public engagement campaigns: an audience segmentation analysis and tool development.

    Directory of Open Access Journals (Sweden)

    Edward W Maibach

    Full Text Available BACKGROUND: Achieving national reductions in greenhouse gas emissions will require public support for climate and energy policies and changes in population behaviors. Audience segmentation--a process of identifying coherent groups within a population--can be used to improve the effectiveness of public engagement campaigns. METHODOLOGY/PRINCIPAL FINDINGS: In Fall 2008, we conducted a nationally representative survey of American adults (n = 2,164 to identify audience segments for global warming public engagement campaigns. By subjecting multiple measures of global warming beliefs, behaviors, policy preferences, and issue engagement to latent class analysis, we identified six distinct segments ranging in size from 7 to 33% of the population. These six segments formed a continuum, from a segment of people who were highly worried, involved and supportive of policy responses (18%, to a segment of people who were completely unconcerned and strongly opposed to policy responses (7%. Three of the segments (totaling 70% were to varying degrees concerned about global warming and supportive of policy responses, two (totaling 18% were unsupportive, and one was largely disengaged (12%, having paid little attention to the issue. Certain behaviors and policy preferences varied greatly across these audiences, while others did not. Using discriminant analysis, we subsequently developed 36-item and 15-item instruments that can be used to categorize respondents with 91% and 84% accuracy, respectively. CONCLUSIONS/SIGNIFICANCE: In late 2008, Americans supported a broad range of policies and personal actions to reduce global warming, although there was wide variation among the six identified audiences. To enhance the impact of campaigns, government agencies, non-profit organizations, and businesses seeking to engage the public can selectively target one or more of these audiences rather than address an undifferentiated general population. Our screening instruments

  4. International genome-wide meta-analysis identifies new primary biliary cirrhosis risk loci and targetable pathogenic pathways.

    Science.gov (United States)

    Cordell, Heather J; Han, Younghun; Mells, George F; Li, Yafang; Hirschfield, Gideon M; Greene, Casey S; Xie, Gang; Juran, Brian D; Zhu, Dakai; Qian, David C; Floyd, James A B; Morley, Katherine I; Prati, Daniele; Lleo, Ana; Cusi, Daniele; Gershwin, M Eric; Anderson, Carl A; Lazaridis, Konstantinos N; Invernizzi, Pietro; Seldin, Michael F; Sandford, Richard N; Amos, Christopher I; Siminovitch, Katherine A

    2015-01-01

    Primary biliary cirrhosis (PBC) is a classical autoimmune liver disease for which effective immunomodulatory therapy is lacking. Here we perform meta-analyses of discovery data sets from genome-wide association studies of European subjects (n=2,764 cases and 10,475 controls) followed by validation genotyping in an independent cohort (n=3,716 cases and 4,261 controls). We discover and validate six previously unknown risk loci for PBC (Pcombined<5 × 10(-8)) and used pathway analysis to identify JAK-STAT/IL12/IL27 signalling and cytokine-cytokine pathways, for which relevant therapies exist. PMID:26394269

  5. Identifying Distinct Geographic Health Service Environments in British Columbia, Canada: Cluster Analysis of Population-Based Administrative Data.

    Science.gov (United States)

    Lavergne, M Ruth

    2016-08-01

    Definitions of "urban" and "rural" developed for general purposes may not reflect the organization and delivery of healthcare. This research used cluster analysis to group Local Health Areas based on the distribution of healthcare spending across service categories. Though total spending was similar, the metropolitan areas of Vancouver and Victoria were identified as distinct from non-metropolitan and remote communities, based on the distribution of healthcare spending alone. Non-metropolitan communities with large community hospitals and greater physician supply were further distinguished from those with fewer healthcare resources. This approach may be useful to other researchers and service planners. PMID:27585025

  6. NcRNA-microchip analysis: A novel approach to identify differential expression of non-coding RNAs

    OpenAIRE

    Hutzinger, Roland; Mrázek, Jan; Vorwerk, Sonja; Hüttenhofer, Alexander

    2010-01-01

    Epstein-Barr virus (EBV) infection of human B cells requires the presence of non-coding RNAs (ncRNAs), which regulate expression of viral and host genes. To identify differentially expressed regulatory ncRNAs involved in EBV infection, a specialized cDNA library, enriched for ncRNAs derived from EBV-infected cells, was subjected to deep-sequencing. From the deep-sequencing analysis, we generated a custom-designed ncRNA-microchip to investigate differential expression of ncRNA candidates. By t...

  7. Mutational analysis of Mycobacterium UvrD1 identifies functional groups required for ATP hydrolysis, DNA unwinding, and chemomechanical coupling

    OpenAIRE

    Sinha, Krishna Murari; Glickman, Michael S.; Shuman, Stewart

    2009-01-01

    Mycobacterial UvrD1 is a DNA-dependent ATPase and a Ku-dependent 3’ to 5’ DNA helicase. The UvrD1 motor domain resembles that of the prototypal superfamily I helicases UvrD and PcrA. Here we performed a mutational analysis of UvrD1 guided by the crystal structure of a DNA-bound E. coli UvrD-ADP-MgF3 transition state mimetic. Alanine scanning and conservative substitutions identified five amino acids essential for both ATP hydrolysis and duplex unwinding, including those implicated in phosphoh...

  8. Meta-analysis of genome-wide association studies identifies three new risk loci for atopic dermatitis

    DEFF Research Database (Denmark)

    Paternoster, Lavinia; Standl, Marie; Chen, Chih-Mei;

    2011-01-01

    Atopic dermatitis (AD) is a commonly occurring chronic skin disease with high heritability. Apart from filaggrin (FLG), the genes influencing atopic dermatitis are largely unknown. We conducted a genome-wide association meta-analysis of 5,606 affected individuals and 20,565 controls from 16......(-8)). We also replicated association with the FLG locus and with two recently identified association signals at 11q13.5 (rs7927894; P = 0.008) and 20q13.33 (rs6010620; P = 0.002). Our results underline the importance of both epidermal barrier function and immune dysregulation in atopic dermatitis...

  9. MALDI-TOF and SELDI-TOF analysis: “tandem” techniques to identify potential biomarker in fibromyalgia

    Directory of Open Access Journals (Sweden)

    A. Lucacchini

    2011-11-01

    Full Text Available Fibromyalgia (FM is characterized by the presence of chronic widespread pain throughout the musculoskeletal system and diffuse tenderness. Unfortunately, no laboratory tests have been appropriately validated for FM and correlated with the subsets and activity. The aim of this study was to apply a proteomic technique in saliva of FM patients: the Surface Enhance Laser Desorption/Ionization Time-of-Flight (SELDI-TOF. For this study, 57 FM patients and 35 HC patients were enrolled. The proteomic analysis of saliva was carried out using SELDI-TOF. The analysis was performed using different chip arrays with different characteristics of binding. The statistical analysis was performed using cluster analysis and the difference between two groups was underlined using Student’s t-test. Spectra analysis highlighted the presence of several peaks differently expressed in FM patients compared with controls. The preliminary results obtained by SELDI-TOF analysis were compared with those obtained in our previous study performed on whole saliva of FM patients by using electrophoresis. The m/z of two peaks, increased in FM patients, seem to overlap well with the molecular weight of calgranulin A and C and Rho GDP-dissociation inhibitor 2, which we had found up-regulated in our previous study. These preliminary results showed the possibility of identifying potential salivary biomarker through salivary proteomic analysis with MALDI-TOF and SELDI-TOF in FM patients. The peaks observed allow us to focus on some of the particular pathogenic aspects of FM, the oxidative stress which contradistinguishes this condition, the involvement of proteins related to the cytoskeletal arrangements, and central sensibilization.

  10. Identifying and Quantifying Cultural Factors That Matter to the IT Workforce: An Approach Based on Automated Content Analysis

    DEFF Research Database (Denmark)

    Schmiedel, Theresa; Müller, Oliver; Debortoli, Stefan;

    2016-01-01

    their reviews. Through a regression analysis on numerical employee satisfaction ratings, we find that a culture of learning and performance orientation contributes to employee motivation, while a culture of assertiveness and gender inegalitarianism has a strong negative influence on employees......Organizational culture represents a key success factor in highly competitive environments, such as, the IT sector. Thus, IT companies need to understand what makes up a culture that fosters employee performance. While existing research typically uses self-report questionnaires to study the relation...... study builds on 112,610 online reviews of Fortune 500 IT companies collected from Glassdoor, an online platform on which current and former employees can anonymously review companies and their management. We perform an automated content analysis to identify cultural factors that employees emphasize in...

  11. Large-scale genome-wide association analysis of bipolar disorder identifies a new susceptibility locus near ODZ4

    Science.gov (United States)

    Sklar, Pamela; Ripke, Stephan; Scott, Laura J.; Andreassen, Ole A.; Cichon, Sven; Craddock, Nick; Edenberg, Howard J.; Nurnberger, John I.; Rietschel, Marcella; Blackwood, Douglas; Corvin, Aiden; Flickinger, Matthew; Guan, Weihua; Mattingsdal, Morten; Mcquillin, Andrew; Kwan, Phoenix; Wienker, Thomas F.; Daly, Mark; Dudbridge, Frank; Holmans, Peter A.; Lin, Danyu; Burmeister, Margit; Greenwood, Tiffany A.; Hamshere, Marian L.; Muglia, Pierandrea; Smith, Erin N.; Zandi, Peter P.; Nievergelt, Caroline M.; Mckinney, Rebecca; Shilling, Paul D.; Schork, Nicholas J.; Bloss, Cinnamon S.; Foroud, Tatiana; Koller, Daniel L.; Gershon, Elliot S.; Liu, Chunyu; Badner, Judith A.; Scheftner, William A.; Lawson, William B.; Nwulia, Evaristus A.; Hipolito, Maria; Coryell, William; Rice, John P.; Byerley, William; McMahon, Francis J.; Schulze, Thomas G.; Berrettini, Wade; Lohoff, Falk W.; Potash, James B.; Mahon, Pamela B.; Mcinnis, Melvin G.; Zöllner, Sebastian; Zhang, Peng; Craig, David W.; Szelinger, Szabocls; Barrett, Thomas B.; Breuer, René; Meier, Sandra; Strohmaier, Jana; Witt, Stephanie H.; Tozzi, Federica; Farmer, Anne; McGuffin, Peter; Strauss, John; Xu, Wei; Kennedy, James L.; Vincent, John B.; Matthews, Keith; Day, Richard; Ferreira, Manuel D.C.; O'Dushlaine, Colm; Perlis, Roy; Raychaudhuri, Soumya; Ruderfer, Douglas; Hyoun, Phil L.; Smoller, Jordan W.; Li, Jun; Absher, Devin; Thompson, Robert C.; Meng, Fan Guo; Schatzberg, Alan F.; Bunney, William E.; Barchas, Jack D.; Jones, Edward G.; Watson, Stanley J.; Myers, Richard M.; Akil, Huda; Boehnke, Michael; Chambert, Kim; Moran, Jennifer; Scolnick, Ed; Djurovic, Srdjan; Melle, Ingrid; Morken, Gunnar; Gill, Michael; Morris, Derek; Quinn, Emma; Mühleisen, Thomas W.; Degenhardt, Franziska A.; Mattheisen, Manuel; Schumacher, Johannes; Maier, Wolfgang; Steffens, Michael; Propping, Peter; Nöthen, Markus M.; Anjorin, Adebayo; Bass, Nick; Gurling, Hugh; Kandaswamy, Radhika; Lawrence, Jacob; Mcghee, Kevin; Mcintosh, Andrew; Mclean, Alan W.; Muir, Walter J.; Pickard, Benjamin S.; Breen, Gerome; St Clair, David; Caesar, Sian; Gordon-Smith, Katherine; Jones, Lisa; Fraser, Christine; Green, Elaine K.; Grozeva, Detelina; Jones, Ian R.; Kirov, George; Moskvina, Valentina; Nikolov, Ivan; O'Donovan, Michael C.; Owen, Michael J.; Collier, David A.; Elkin, Amanda; Williamson, Richard; Young, Allan H.; Ferrier, I Nicol; Stefansson, Kari; Stefansson, Hreinn; Porgeirsson, Porgeir; Steinberg, Stacy; Gustafsson, Omar; Bergen, Sarah E.; Nimgaonkar, Vishwajit; hultman, Christina; Landén, Mikael; Lichtenstein, Paul; Sullivan, Patrick; Schalling, Martin; Osby, Urban; Backlund, Lena; Frisén, Louise; Langstrom, Niklas; Jamain, Stéphane; Leboyer, Marion; Etain, Bruno; Bellivier, Frank; Petursson, Hannes; Sigur Sson, Engilbert; Müller-Mysok, Bertram; Lucae, Susanne; Schwarz, Markus; Schofield, Peter R.; Martin, Nick; Montgomery, Grant W.; Lathrop, Mark; Oskarsson, Högni; Bauer, Michael; Wright, Adam; Mitchell, Philip B.; Hautzinger, Martin; Reif, Andreas; Kelsoe, John R.; Purcell, Shaun M.

    2011-01-01

    We conducted a combined genome-wide association (GWAS) analysis of 7,481 individuals affected with bipolar disorder and 9,250 control individuals within the Psychiatric Genomewide Association Study Consortium Bipolar Disorder group (PGC-BD). We performed a replication study in which we tested 34 independent SNPs in 4,493 independent bipolar disorder cases and 42,542 independent controls and found strong evidence for replication. In the replication sample, 18 of 34 SNPs had P value < 0.05, and 31 of 34 SNPs had signals with the same direction of effect (P = 3.8 × 10−7). In the combined analysis of all 63,766 subjects (11,974 cases and 51,792 controls), genome-wide significant evidence for association was confirmed for CACNA1C and found for a novel gene ODZ4. In a combined analysis of non-overlapping schizophrenia and bipolar GWAS samples we observed strong evidence for association with SNPs in CACNA1C and in the region of NEK4/ITIH1,3,4. Pathway analysis identified a pathway comprised of subunits of calcium channels enriched in the bipolar disorder association intervals. The strength of the replication data implies that increasing samples sizes in bipolar disorder will confirm many additional loci. PMID:21926972

  12. Whole-genome association analysis to identify markers associated with recombination rates using single-nucleotide polymorphisms and microsatellites.

    Science.gov (United States)

    Huang, Song; Wang, Shuang; Liu, Nianjun; Chen, Liang; Oh, Cheongeun; Zhao, Hongyu

    2005-01-01

    Recombination during meiosis is one of the most important biological processes, and the level of recombination rates for a given individual is under genetic control. In this study, we conducted genome-wide association studies to identify chromosomal regions associated with recombination rates. We analyzed genotype data collected on the pedigrees in the Collaborative Study on the Genetics on Alcoholism data provided by Genetic Analysis Workshop 14. A total of 315 microsatellites and 10,081 single-nucleotide polymorphisms from Affymetrix on 22 autosomal chromosomes were used in our association analysis. Genome-wide gender-specific recombination counts for family founders were inferred first and association analysis was performed using multiple linear regressions. We used the positive false discovery rate (pFDR) to account for multiple comparisons in the two genome-wide scans. Eight regions showed some evidence of association with recombination counts based on the single-nucleotide polymorphism analysis after adjusting for multiple comparisons. However, no region was found to be significant using microsatellites. PMID:16451663

  13. Application of Principal Component Analysis to NIR Spectra of Phyllosilicates: A Technique for Identifying Phyllosilicates on Mars

    Science.gov (United States)

    Rampe, E. B.; Lanza, N. L.

    2012-01-01

    Orbital near-infrared (NIR) reflectance spectra of the martian surface from the OMEGA and CRISM instruments have identified a variety of phyllosilicates in Noachian terrains. The types of phyllosilicates present on Mars have important implications for the aqueous environments in which they formed, and, thus, for recognizing locales that may have been habitable. Current identifications of phyllosilicates from martian NIR data are based on the positions of spectral absorptions relative to laboratory data of well-characterized samples and from spectral ratios; however, some phyllosilicates can be difficult to distinguish from one another with these methods (i.e. illite vs. muscovite). Here we employ a multivariate statistical technique, principal component analysis (PCA), to differentiate between spectrally similar phyllosilicate minerals. PCA is commonly used in a variety of industries (pharmaceutical, agricultural, viticultural) to discriminate between samples. Previous work using PCA to analyze raw NIR reflectance data from mineral mixtures has shown that this is a viable technique for identifying mineral types, abundances, and particle sizes. Here, we evaluate PCA of second-derivative NIR reflectance data as a method for classifying phyllosilicates and test whether this method can be used to identify phyllosilicates on Mars.

  14. The use of combining ability analysis to identify elite parents for Artemisia annua F1 hybrid production.

    Directory of Open Access Journals (Sweden)

    Theresa Townsend

    Full Text Available Artemisia annua is an important medicinal crop used for the production of the anti-malarial compound artemisinin. In order to assist in the production of affordable high quality artemisinin we have carried out an A. annua breeding programme aimed at improving artemisinin concentration and biomass. Here we report on a combining ability analysis of a diallel cross to identify robust parental lines for hybrid breeding. The parental lines were selected based on a range of phenotypic traits to encourage heterosis. The general combining ability (GCA values for the diallel parental lines correlated to the positive alleles of quantitative trait loci (QTL in the same parents indicating the presence of beneficial alleles that contribute to parental performance. Hybrids generated from crossing specific parental lines with good GCA were identified as having an increase in both artemisinin concentration and biomass when grown either in glasshouse or experimental field trials and compared to controls. This study demonstrates that combining ability as determined by a diallel cross can be used to identify elite parents for the production of improved A. annua hybrids. Furthermore, the selection of material for breeding using this approach was found to be consistent with our QTL-based molecular breeding approach.

  15. Estimating the False Discovery Rate Using Mixed Normal Distribution for Identifying Differentially Expressed Genes in Microarray Data Analysis

    Directory of Open Access Journals (Sweden)

    Chikuma Hamada

    2007-01-01

    Full Text Available The recent development of DNA microarray technology allows us to measure simultaneously the expression levels of thousands of genes and to identify truly correlated genes with anticancer drug response (differentially expressed genes from many candidate genes. Significance Analysis of Microarray (SAM is often used to estimate the false discovery rate (FDR, which is an index for optimizing the identifiability of differentially expressed genes, while the accuracy of the estimated FDR by SAM is not necessarily confirmed. We propose a new method for estimating the FDR assuming a mixed normal distribution on the test statistic and examine the performance of the proposed method and SAM using simulated data. The simulation results indicate that the accuracy of the estimated FDR by the proposed method and SAM, varied depending on the experimental conditions. We applied both methods to actual data comprised of expression levels of 12,625 genes of 10 responders and 14 non-responders to docetaxel for breast cancer. The proposed method identified 280 differentially expressed genes correlated with docetaxel response using a cut-off value for achieving FDR <0.01 to prevent false-positive genes, although 92 genes were previously thought to be correlated with docetaxel response ones.

  16. A new model to identify the productivity of theses in terms of articles using co-word analysis

    Directory of Open Access Journals (Sweden)

    Mery Piedad Zamudio Igami

    2014-01-01

    Full Text Available A thesis defense should be considered as not the end but the starting point for scientific communication flow. How many articles truly extend doctoral research? This article proposes a new model to automatically identify the productivity of theses in terms of article publications. We evaluate the use of the co-word analysis technique to establish relationships among 401 doctoral theses and 2,211 articles journal articles published by students in a graduate program at a Brazilian National Nuclear Research Institution (IPEN-CNEN/SP.To identify the relationship between a thesis and an article published by the same author, we used co-descriptor pairs from a controlled vocabulary. To validate the proposed model, a survey was applied to a random sample of theses authors (n = 128, response rate of 79%, thus establishing a minimum threshold of three coincident co-descriptors to identify the relationship between theses and articles. The agreement level between an author′s opinion and the automatic method was 86.9%, with a sampling error of 7.36%, which indicates an acceptable level of accuracy. Differences between the related or nonrelated distributions of articles were also demonstrated, as was a reduction in the median lag time to publication and the supervisor′s influence on student productivity.

  17. Evaluating Principal Components Analysis for Identifying Optimal Bands Using Wetland Hyperspectral Measurements From the Great Lakes, USA

    Directory of Open Access Journals (Sweden)

    Brian Becker

    2009-08-01

    Full Text Available Mapping species composition is a focus of the wetland science community as this information will substantially enhance assessment and monitoring abilities. Hyperspectral remote sensing has been utilized as a cost-efficient approach. While hyperspectral instruments can record hundreds of contiguous narrow bands, much of the data are redundant and/or provide no increase in utility for distinguishing objects. Knowledge of the optimal bands allows users to efficiently focus on bands that provide the most information and several data reduction tools are available. The objective of this Communication was to evaluate Principal Components Analysis (PCA for identifying optimal bands to discriminate wetland plant species. In-situ hyperspectral reflectance measurements were obtained for thirty-five species in two diverse Great Lakes wetlands. PCA was executed on a suite of categories based on botanical plant/substrate characteristics and spectral configuration schemes. Results showed that the data dependency of PCA makes it a poor, stand alone tool for selecting optimal wavelengths. PCA does not allow diagnostic comparison across sites and wavelengths identified by PCA do not necessarily represent wavelengths that indicate biophysical attributes of interest. Further, narrow bands captured by hyperspectral sensors need to be substantially re-sampled and/or smoothed in order for PCA to identify useful information.

  18. Multilevel-analysis identify a cis-expression quantitative trait locus associated with risk of renal cell carcinoma.

    Science.gov (United States)

    Shu, Xiang; Purdue, Mark P; Ye, Yuanqing; Wood, Christopher G; Chen, Meng; Wang, Zhaoming; Albanes, Demetrius; Pu, Xia; Huang, Maosheng; Stevens, Victoria L; Diver, W Ryan; Gapstur, Susan M; Virtamo, Jarmo; Chow, Wong-Ho; Tannir, Nizar M; Dinney, Colin P; Rothman, Nathaniel; Chanock, Stephen J; Wu, Xifeng

    2015-02-28

    We conducted multilevel analyses to identify potential susceptibility loci for renal cell carcinoma (RCC), which may be overlooked in traditional genome-wide association studies (GWAS). A gene set enrichment analysis was performed utilizing a GWAS dataset comprised of 894 RCC cases and 1,516 controls using GenGen, SNP ratio test, and ALIGATOR. The antigen processing and presentation pathway was consistently significant (P = 0.001, = 0.004, and < 0.001, respectively). Versatile gene-based association study approach was applied to the top-ranked pathway and identified the driven genes. By comparing the expression of the genes in RCC tumor and adjacent normal tissues, we observed significant overexpression of HLA genes in tumor tissues, which was also supported by public databases. We sought to validate genetic variants in antigen processing and presentation pathway in an independent GWAS dataset comprised of 1,311 RCC cases and 3,424 control subjects from the National Cancer Institute; one SNP, rs1063355, was significant in both populations (P(meta-analysis) = 9.15 × 10⁻⁴, P(heterogeneity) = 0.427). Strong correlation indicated that rs1063355 was a cis-expression quantitative trait loci which associated with HLA-DQB1 expression (Spearman's rank r = -0.59, p = 5.61 × 10⁻⁶). The correlation was further validated using a public dataset. Our results highlighted the role of immune-related pathway and genes in the etiology of RCC. PMID:25784652

  19. Large-scale genome-wide association analysis of bipolar disorder identifies a new susceptibility locus near ODZ4.

    LENUS (Irish Health Repository)

    Sklar, Pamela

    2011-10-01

    We conducted a combined genome-wide association study (GWAS) of 7,481 individuals with bipolar disorder (cases) and 9,250 controls as part of the Psychiatric GWAS Consortium. Our replication study tested 34 SNPs in 4,496 independent cases with bipolar disorder and 42,422 independent controls and found that 18 of 34 SNPs had P < 0.05, with 31 of 34 SNPs having signals with the same direction of effect (P = 3.8 × 10(-7)). An analysis of all 11,974 bipolar disorder cases and 51,792 controls confirmed genome-wide significant evidence of association for CACNA1C and identified a new intronic variant in ODZ4. We identified a pathway comprised of subunits of calcium channels enriched in bipolar disorder association intervals. Finally, a combined GWAS analysis of schizophrenia and bipolar disorder yielded strong association evidence for SNPs in CACNA1C and in the region of NEK4-ITIH1-ITIH3-ITIH4. Our replication results imply that increasing sample sizes in bipolar disorder will confirm many additional loci.

  20. Identifying Minimum Detectable Change in US Forest Soil Carbon under the Forest Inventory Analysis (FIA) Sampling Strategy

    Science.gov (United States)

    Wu, A. M.; Nater, E. A.; Perry, C. H.; Dalzell, B. J.; Wilson, B.

    2015-12-01

    Estimates of carbon stocks and stock changes in the U.S. Department of Agriculture Forest Service's Forest Inventory and Analysis (FIA) Program are reported as the official United States submission to the UN Framework Convention on Climate Change. Soil, as a critical component of the forest carbon stocks, has been sampled in about 10-year intervals in FIA with the re-measurement underway. However, the magnitude of detectable change in soil organic carbon (SOC) with the current sampling scheme is unknown. We aim to identify SOC variability and to best determine minimum detectable changes in SOC under the current sampling scheme. The project seeks to: identify statistical relationships between SOC and environmental covariates; normalize SOC data for main forest-type groups (FTGs) using identified covariates; and determine the minimum detectable change in the normalized SOC using power analysis. We investigated SOC variability for 8 FTGs: Oak-Hickory, Maple-Beech-Birch, Pinyon-Juniper, Loblolly-Shortleaf Pine, Aspen-Birch, Douglas-Fir, Fir-Spruce-Mountain Hemlock and Woodland Hardwoods. Relationships between SOC and environmental covariates (biomass/soil properties in FIA, PRISM climate data, and DEM-derived terrain attributes) are determined by multiple linear regression and are used to normalize SOC variability. The results showed that terrain attributes were not significant in explaining SOC in the FIA dataset and climate data were only significant in certain FTGs locations. Except for Oak-Hickory, Maple-Beech-Birch and Pinyon-Juniper groups, sample numbers are insufficient to detect a change in SOC less than 10 percent (%) of the mean. To guide future sampling efforts, we will continue our study on detecting minimal change in SOC and to explore sample number and sampling frequency scenarios to inform future soil sampling protocols.

  1. Sequence and structure-based comparative analysis to assess, identify and improve the thermostability of penicillin G acylases.

    Science.gov (United States)

    Panigrahi, Priyabrata; Chand, Deepak; Mukherji, Ruchira; Ramasamy, Sureshkumar; Suresh, C G

    2015-11-01

    Penicillin acylases are enzymes employed by the pharmaceutical industry for the manufacture of semi-synthetic penicillins. There is a continuous demand for thermostable and alkalophilic enzymes in such applications. We have carried out a computational analysis of known penicillin G acylases (PGAs) in terms of their thermostable nature using various protein-stabilizing factors. While the presence of disulfide bridges was considered initially to screen putative thermostable PGAs from the database, various other factors such as high arginine to lysine ratio, less content of thermolabile amino acids, presence of proline in β-turns, more number of ion-pair and other non-bonded interactions were also considered for comparison. A modified consensus approach designed could further identify stabilizing residue positions by site-specific comparison between mesostable and thermostable PGAs. A most likely thermostable enzyme identified from the analysis was PGA from Paracoccus denitrificans (PdPGA). This was cloned, expressed and tested for its thermostable nature using biochemical and biophysical experiments. The consensus site-specific sequence-based approach predicted PdPGA to be more thermostable than Escherichia coli PGA, but not as thermostable as the PGA from Achromobacter xylosoxidans. Experimental data showed that PdPGA was comparatively less thermostable than Achromobacter xylosoxidans PGA, although thermostability factors favored a much higher stability. Despite being mesostable, PdPGA being active and stable at alkaline pH is an advantage. Finally, several residue positions could be identified in PdPGA, which upon mutation selectively could improve the thermostability of the enzyme. PMID:26419382

  2. Histopathology of duodenal mucosal lesions in pediatric patients with inflammatory bowel disease: statistical analysis to identify distinctive features.

    Science.gov (United States)

    Hardee, Steven; Alper, Arik; Pashankar, Dinesh S; Morotti, Raffaella A

    2014-01-01

    Histopathologic lesions of the upper gastrointestinal tract (UGT) are common in inflammatory bowel disease (IBD) patients. Pediatric patients have a higher incidence of IBD-associated gastritis and duodenitis than do adults. This study aimed to identify histopathologic features of duodenal lesions in the pediatric population that are characteristic of IBD, compared to duodenal pathology of different etiopathogenesis. We performed a retrospective analysis of UGT biopsies from pediatric patients with a histopathologic diagnosis of duodenitis (0-18 years of age) over a 7-year period. We identified 40 cases of duodenitis associated with Crohn's disease (CD) and 10 cases associated with ulcerative colitis (UC) and compared the histopathologic characteristics of the duodenitis with age-matched controls consisting of 40 cases duodenitis associated with celiac disease and 40 non-Helicobacter pylori-associated (NOS) etiology duodenitis cases. The histologic features that were evaluated included presence of granulomas, duodenal cryptitis, erosion, lamina propria eosinophils, villous blunting, increased intraepithelial lymphocytes (IELs), and crypt hyperplasia, among others. Additionally, we evaluated the presence of associated gastritis in all of these groups. Statistical analysis to identify significant differences was performed using Kruskal-Wallis testing. Cryptitis was the most distinctive feature of IBD-associated duodenitis. Granulomas were exceptionally rare. The severity of villous blunting and presence of IELs was significantly different in the IBD versus the celiac group. There is a significant overlap with duodenal lesions of different etiopathogenesis, including villous blunting and eosinophilia. With the exclusion of granulomas, cryptitis seems the most distinctive feature of the duodenal lesions associated with IBD. PMID:25207874

  3. Genome-wide association analysis identifies variants associated with nonalcoholic fatty liver disease that have distinct effects on metabolic traits.

    Directory of Open Access Journals (Sweden)

    Elizabeth K Speliotes

    2011-03-01

    Full Text Available Nonalcoholic fatty liver disease (NAFLD clusters in families, but the only known common genetic variants influencing risk are near PNPLA3. We sought to identify additional genetic variants influencing NAFLD using genome-wide association (GWA analysis of computed tomography (CT measured hepatic steatosis, a non-invasive measure of NAFLD, in large population based samples. Using variance components methods, we show that CT hepatic steatosis is heritable (∼26%-27% in family-based Amish, Family Heart, and Framingham Heart Studies (n = 880 to 3,070. By carrying out a fixed-effects meta-analysis of genome-wide association (GWA results between CT hepatic steatosis and ∼2.4 million imputed or genotyped SNPs in 7,176 individuals from the Old Order Amish, Age, Gene/Environment Susceptibility-Reykjavik study (AGES, Family Heart, and Framingham Heart Studies, we identify variants associated at genome-wide significant levels (p<5×10(-8 in or near PNPLA3, NCAN, and PPP1R3B. We genotype these and 42 other top CT hepatic steatosis-associated SNPs in 592 subjects with biopsy-proven NAFLD from the NASH Clinical Research Network (NASH CRN. In comparisons with 1,405 healthy controls from the Myocardial Genetics Consortium (MIGen, we observe significant associations with histologic NAFLD at variants in or near NCAN, GCKR, LYPLAL1, and PNPLA3, but not PPP1R3B. Variants at these five loci exhibit distinct patterns of association with serum lipids, as well as glycemic and anthropometric traits. We identify common genetic variants influencing CT-assessed steatosis and risk of NAFLD. Hepatic steatosis associated variants are not uniformly associated with NASH/fibrosis or result in abnormalities in serum lipids or glycemic and anthropometric traits, suggesting genetic heterogeneity in the pathways influencing these traits.

  4. Application of gene network analysis techniques identifies AXIN1/PDIA2 and endoglin haplotypes associated with bicuspid aortic valve.

    Directory of Open Access Journals (Sweden)

    Eric C Wooten

    Full Text Available Bicuspid Aortic Valve (BAV is a highly heritable congenital heart defect. The low frequency of BAV (1% of general population limits our ability to perform genome-wide association studies. We present the application of four a priori SNP selection techniques, reducing the multiple-testing penalty by restricting analysis to SNPs relevant to BAV in a genome-wide SNP dataset from a cohort of 68 BAV probands and 830 control subjects. Two knowledge-based approaches, CANDID and STRING, were used to systematically identify BAV genes, and their SNPs, from the published literature, microarray expression studies and a genome scan. We additionally tested Functionally Interpolating SNPs (fitSNPs present on the array; the fourth consisted of SNPs selected by Random Forests, a machine learning approach. These approaches reduced the multiple testing penalty by lowering the fraction of the genome probed to 0.19% of the total, while increasing the likelihood of studying SNPs within relevant BAV genes and pathways. Three loci were identified by CANDID, STRING, and fitSNPS. A haplotype within the AXIN1-PDIA2 locus (p-value of 2.926x10(-06 and a haplotype within the Endoglin gene (p-value of 5.881x10(-04 were found to be strongly associated with BAV. The Random Forests approach identified a SNP on chromosome 3 in association with BAV (p-value 5.061x10(-06. The results presented here support an important role for genetic variants in BAV and provide support for additional studies in well-powered cohorts. Further, these studies demonstrate that leveraging existing expression and genomic data in the context of GWAS studies can identify biologically relevant genes and pathways associated with a congenital heart defect.

  5. Genetic modifiers of neurofibromatosis type 1-associated cafe-au-lait macule count identified using multi-platform analysis.

    Directory of Open Access Journals (Sweden)

    Alexander Pemov

    2014-10-01

    Full Text Available Neurofibromatosis type 1 (NF1 is an autosomal dominant, monogenic disorder of dysregulated neurocutaneous tissue growth. Pleiotropy, variable expressivity and few NF1 genotype-phenotype correlates limit clinical prognostication in NF1. Phenotype complexity in NF1 is hypothesized to derive in part from genetic modifiers unlinked to the NF1 locus. In this study, we hypothesized that normal variation in germline gene expression confers risk for certain phenotypes in NF1. In a set of 79 individuals with NF1, we examined the association between gene expression in lymphoblastoid cell lines with NF1-associated phenotypes and sequenced select genes with significant phenotype/expression correlations. In a discovery cohort of 89 self-reported European-Americans with NF1 we examined the association between germline sequence variants of these genes with café-au-lait macule (CALM count, a tractable, tumor-like phenotype in NF1. Two correlated, common SNPs (rs4660761 and rs7161 between DPH2 and ATP6V0B were significantly associated with the CALM count. Analysis with tiled regression also identified SNP rs4660761 as significantly associated with CALM count. SNP rs1800934 and 12 rare variants in the mismatch repair gene MSH6 were also associated with CALM count. Both SNPs rs7161 and rs4660761 (DPH2 and ATP6V0B were highly significant in a mega-analysis in a combined cohort of 180 self-reported European-Americans; SNP rs1800934 (MSH6 was near-significant in a meta-analysis assuming dominant effect of the minor allele. SNP rs4660761 is predicted to regulate ATP6V0B, a gene associated with melanosome biology. Individuals with homozygous mutations in MSH6 can develop an NF1-like phenotype, including multiple CALMs. Through a multi-platform approach, we identified variants that influence NF1 CALM count.

  6. Use of a Machine Learning-Based High Content Analysis Approach to Identify Photoreceptor Neurite Promoting Molecules.

    Science.gov (United States)

    Fuller, John A; Berlinicke, Cynthia A; Inglese, James; Zack, Donald J

    2016-01-01

    High content analysis (HCA) has become a leading methodology in phenotypic drug discovery efforts. Typical HCA workflows include imaging cells using an automated microscope and analyzing the data using algorithms designed to quantify one or more specific phenotypes of interest. Due to the richness of high content data, unappreciated phenotypic changes may be discovered in existing image sets using interactive machine-learning based software systems. Primary postnatal day four retinal cells from the photoreceptor (PR) labeled QRX-EGFP reporter mice were isolated, seeded, treated with a set of 234 profiled kinase inhibitors and then cultured for 1 week. The cells were imaged with an Acumen plate-based laser cytometer to determine the number and intensity of GFP-expressing, i.e. PR, cells. Wells displaying intensities and counts above threshold values of interest were re-imaged at a higher resolution with an INCell2000 automated microscope. The images were analyzed with an open source HCA analysis tool, PhenoRipper (Rajaram et al., Nat Methods 9:635-637, 2012), to identify the high GFP-inducing treatments that additionally resulted in diverse phenotypes compared to the vehicle control samples. The pyrimidinopyrimidone kinase inhibitor CHEMBL-1766490, a pan kinase inhibitor whose major known targets are p38α and the Src family member lck, was identified as an inducer of photoreceptor neuritogenesis by using the open-source HCA program PhenoRipper. This finding was corroborated using a cell-based method of image analysis that measures quantitative differences in the mean neurite length in GFP expressing cells. Interacting with data using machine learning algorithms may complement traditional HCA approaches by leading to the discovery of small molecule-induced cellular phenotypes in addition to those upon which the investigator is initially focusing. PMID:26427464

  7. A comprehensive genome-wide analysis of melanoma Breslow thickness identifies interaction between CDC42 and SCIN genetic variants.

    Science.gov (United States)

    Vaysse, Amaury; Fang, Shenying; Brossard, Myriam; Wei, Qingyi; Chen, Wei V; Mohamdi, Hamida; Vincent-Fetita, Lynda; Margaritte-Jeannin, Patricia; Lavielle, Nolwenn; Maubec, Eve; Lathrop, Mark; Avril, Marie-Françoise; Amos, Christopher I; Lee, Jeffrey E; Demenais, Florence

    2016-11-01

    Breslow thickness (BT) is a major prognostic factor of cutaneous melanoma (CM), the most fatal skin cancer. The genetic component of BT has only been explored by candidate gene studies with inconsistent results. Our objective was to uncover the genetic factors underlying BT using an hypothesis-free genome-wide approach. Our analysis strategy integrated a genome-wide association study (GWAS) of single nucleotide polymorphisms (SNPs) for BT followed by pathway analysis of GWAS outcomes using the gene-set enrichment analysis (GSEA) method and epistasis analysis within BT-associated pathways. This strategy was applied to two large CM datasets with Hapmap3-imputed SNP data: the French MELARISK study for discovery (966 cases) and the MD Anderson Cancer Center study (1,546 cases) for replication. While no marginal effect of individual SNPs was revealed through GWAS, three pathways, defined by gene ontology (GO) categories were significantly enriched in genes associated with BT (false discovery rate ≤5% in both studies): hormone activity, cytokine activity and myeloid cell differentiation. Epistasis analysis, within each significant GO, identified a statistically significant interaction between CDC42 and SCIN SNPs (pmeta-int =2.2 × 10(-6) , which met the overall multiple-testing corrected threshold of 2.5 × 10(-6) ). These two SNPs (and proxies) are strongly associated with CDC42 and SCIN gene expression levels and map to regulatory elements in skin cells. This interaction has important biological relevance since CDC42 and SCIN proteins have opposite effects in actin cytoskeleton organization and dynamics, a key mechanism underlying melanoma cell migration and invasion. PMID:27347659

  8. A critical evaluation of the use of cluster analysis to identify contaminated sediments in the Ria de Vigo

    Energy Technology Data Exchange (ETDEWEB)

    Rubio, B; Nombela, M. A; Vilas, F [Departamento de Geociencias Marinas y Ordenacion del Territorio, Vigo, Espana (Spain)

    2001-06-01

    The indiscriminate use of cluster analysis to distinguish contaminated and non-contaminated sediments has led us to make a comparative evaluation of different cluster analysis procedures as applied to heavy metal concentrations in subtidal sediments from the Ria de Vigo, NW Spain. The use of different clusters algorithms and other transformations from the same departing set of data lead to the formation of different clusters with a clear inconclusive result about the contamination status of the sediments. The results show that this approach is better suited to identifying groups of samples differing in sedimentological characteristics, such as grain size, rather than in the degree of contamination. Our main aim is to call attention to these aspects in cluster analysis and to suggest that researches should be rigorous with this kind of analysis. Finally, the use of discriminate analysis allows us to find a discriminate function that separates the samples into two clearly differentiated groups, which should not be treated jointly. [Spanish] El uso indiscriminado del analisis cluster para distinguir sedimentos contaminados y no contaminados nos ha llevado a realizar una evaluacion comparativa entre los diferentes procedimientos de estos analisis aplicada a la concentracion de metales pesados en sedimentos submareales de la Ria de Vigo, NW de Espana. La utilizacion de distintos algoritmos de cluster, asi como otras transformaciones de la misma matriz de datos conduce a la formacion de diferentes clusters con un resultado inconcluso sobre el estado de contaminacion de los sedimentos. Los resultados muestran que esta aproximacion se ajusta mejor para identificar grupos de muestras que difieren en caracteristicas sedimentologicas, tal como el tamano de grano, mas que el grado de contaminacion. El principal objetivo es llamar la atencion sobre estos aspectos del analisis cluster y sugerir a los investigadores que sean rigurosos con este tipo de analisis. Finalmente el uso

  9. An Integrative Transcriptomic Analysis for Identifying Novel Target Genes Corresponding to Severity Spectrum in Spinal Muscular Atrophy.

    Science.gov (United States)

    Yang, Chung-Wei; Chen, Chien-Lin; Chou, Wei-Chun; Lin, Ho-Chen; Jong, Yuh-Jyh; Tsai, Li-Kai; Chuang, Chun-Yu

    2016-01-01

    Spinal muscular atrophy (SMA) is an inherited neuromuscular disease resulting from a recessive mutation in the SMN1 gene. This disease affects multiple organ systems with varying degrees of severity. Exploration of the molecular pathological changes occurring in different cell types in SMA is crucial for developing new therapies. This study collected 39 human microarray datasets from ArrayExpress and GEO databases to build an integrative transcriptomic analysis for recognizing novel SMA targets. The transcriptomic analysis was conducted through combining weighted correlation network analysis (WGCNA) for gene module detection, gene set enrichment analysis (GSEA) for functional categorization and filtration, and Cytoscape (visual interaction gene network analysis) for target gene identification. Seven novel target genes (Bmp4, Serpine1, Gata6, Ptgs2, Bcl2, IL6 and Cntn1) of SMA were revealed, and are all known in the regulation of TNFα for controlling neural, cardiac and bone development. Sequentially, the differentially expressed patterns of these 7 target genes in mouse tissues (e.g., spinal cord, heart, muscles and bone) were validated in SMA mice of different severities (pre-symptomatic, mildly symptomatic, and severely symptomatic). In severely symptomatic SMA mice, TNFα was up-regulated with attenuation of Bmp4 and increase of Serpine1 and Gata6 (a pathway in neural and cardiac development), but not in pre-symptomatic and mildly symptomatic SMA mice. The severely symptomatic SMA mice also had the elevated levels of Ptgs2 and Bcl2 (a pathway in skeletal development) as well as IL6 and Cntn1 (a pathway in nervous system development). Thus, the 7 genes identified in this study might serve as potential target genes for future investigations of disease pathogenesis and SMA therapy. PMID:27331400

  10. An Integrative Transcriptomic Analysis for Identifying Novel Target Genes Corresponding to Severity Spectrum in Spinal Muscular Atrophy.

    Directory of Open Access Journals (Sweden)

    Chung-Wei Yang

    Full Text Available Spinal muscular atrophy (SMA is an inherited neuromuscular disease resulting from a recessive mutation in the SMN1 gene. This disease affects multiple organ systems with varying degrees of severity. Exploration of the molecular pathological changes occurring in different cell types in SMA is crucial for developing new therapies. This study collected 39 human microarray datasets from ArrayExpress and GEO databases to build an integrative transcriptomic analysis for recognizing novel SMA targets. The transcriptomic analysis was conducted through combining weighted correlation network analysis (WGCNA for gene module detection, gene set enrichment analysis (GSEA for functional categorization and filtration, and Cytoscape (visual interaction gene network analysis for target gene identification. Seven novel target genes (Bmp4, Serpine1, Gata6, Ptgs2, Bcl2, IL6 and Cntn1 of SMA were revealed, and are all known in the regulation of TNFα for controlling neural, cardiac and bone development. Sequentially, the differentially expressed patterns of these 7 target genes in mouse tissues (e.g., spinal cord, heart, muscles and bone were validated in SMA mice of different severities (pre-symptomatic, mildly symptomatic, and severely symptomatic. In severely symptomatic SMA mice, TNFα was up-regulated with attenuation of Bmp4 and increase of Serpine1 and Gata6 (a pathway in neural and cardiac development, but not in pre-symptomatic and mildly symptomatic SMA mice. The severely symptomatic SMA mice also had the elevated levels of Ptgs2 and Bcl2 (a pathway in skeletal development as well as IL6 and Cntn1 (a pathway in nervous system development. Thus, the 7 genes identified in this study might serve as potential target genes for future investigations of disease pathogenesis and SMA therapy.

  11. Comparative in silico analysis identifies bona fide MyoD binding sites within the Myocyte Stress 1 gene promoter

    Directory of Open Access Journals (Sweden)

    Imbalzano Anthony N

    2008-05-01

    Full Text Available Abstract Background Myocyte stress 1 (MS1 is a striated muscle actin binding protein required for the muscle specific activity of the evolutionary ancient myocardin related transcription factor (MRTF/serum response factor (SRF transcriptional pathway. To date, little is known about the molecular mechanisms that govern skeletal muscle specific expression of MS1. Such mechanisms are likely to play a major role in modulating SRF activity and therefore muscle determination, differentiation and regeneration. In this study we employed a comparative in silico analysis coupled with an experimental promoter characterisation to delineate these mechanisms. Results Analysis of MS1 expression in differentiating C2C12 muscle cells demonstrated a temporal differentiation dependent up-regulation in ms1 mRNA. An in silico comparative sequence analysis identified two conserved putative myogenic regulatory domains within the proximal 1.5 kbp of 5' upstream sequence. Co-transfecting C2C12 myoblasts with ms1 promoter/luciferase reporters and myogenic regulatory factor (MRF over-expression plasmids revealed specific sensitivity of the ms1 promoter to MyoD. Subsequent mutagenesis and EMSA analysis demonstrated specific targeting of MyoD at two distinct E-Boxes (E1 and E2 within identified evolutionary conserved regions (ECRs, α and β. Chromatin immunoprecipitation (ChIP analysis indicates that co-ordinated binding of MyoD at E-Boxes located within ECRs α and β correlates with the temporal induction in ms1 mRNA. Conclusion These findings suggest that the tissue specific and differentiation dependent up-regulation in ms1 mRNA is mediated by temporal binding of MyoD at distinct evolutionary conserved E-Boxes within the ms1 5' upstream sequence. We believe, through its activation of ms1, this is the first study to demonstrate a direct link between MyoD activity and SRF transcriptional signalling, with clear implications for the understanding of muscle determination

  12. Identifying the hydrochemical characteristics of rivers and groundwater by multivariate statistical analysis in the Sanjiang Plain, China

    Science.gov (United States)

    Cao, Yingjie; Tang, Changyuan; Song, Xianfang; Liu, Changming; Zhang, Yinghua

    2016-06-01

    Two multivariate statistical technologies, factor analysis (FA) and discriminant analysis (DA), are applied to study the river and groundwater hydrochemistry and its controlling processes in the Sanjiang Plain of the northeast China. Factor analysis identifies five factors which account for 79.65 % of the total variance in the dataset. Four factors bearing specific meanings as the river and groundwater hydrochemistry controlling processes are divided into two groups, the "natural hydrochemistry evolution" group and the "pollution" group. The "natural hydrochemistry evolution" group includes the salinity factor (factor 1) caused by rock weathering and the residence time factor (factor 2) reflecting the groundwater traveling time. The "pollution" group represents the groundwater quality deterioration due to geogenic pollution caused by elevated Fe and Mn (factor 3) and elevated nitrate (NO3 -) introduced by human activities such as agriculture exploitations (factor 5). The hydrochemical difference and hydraulic connection among rivers (surface water, SW), shallow groundwater (SG) and deep groundwater (DG) group are evaluated by the factor scores obtained from FA and DA (Fisher's method). It is showed that the river water is characterized as low salinity and slight pollution, and the shallow groundwater has the highest salinity and severe pollution. The SW is well separated from SG and DG by Fisher's discriminant function, but the SG and DG can not be well separated showing their hydrochemical similarities, and emphasize hydraulic connections between SG and DG.

  13. Meta-analysis of 74,046 individuals identifies 11 new susceptibility loci for Alzheimer’s disease

    Science.gov (United States)

    Lambert, Jean-Charles; Ibrahim-Verbaas, Carla A; Harold, Denise; Naj, Adam C; Sims, Rebecca; Bellenguez, Céline; Jun, Gyungah; DeStefano, Anita L; Bis, Joshua C; Beecham, Gary W; Grenier-Boley, Benjamin; Russo, Giancarlo; Thornton-Wells, Tricia A; Jones, Nicola; Smith, Albert V; Chouraki, Vincent; Thomas, Charlene; Ikram, M Arfan; Zelenika, Diana; Vardarajan, Badri N; Kamatani, Yoichiro; Lin, Chiao-Feng; Gerrish, Amy; Schmidt, Helena; Kunkle, Brian; Dunstan, Melanie L; Ruiz, Agustin; Bihoreau, Marie-Thérèse; Choi, Seung-Hoan; Reitz, Christiane; Pasquier, Florence; Hollingworth, Paul; Ramirez, Alfredo; Hanon, Olivier; Fitzpatrick, Annette L; Buxbaum, Joseph D; Campion, Dominique; Crane, Paul K; Baldwin, Clinton; Becker, Tim; Gudnason, Vilmundur; Cruchaga, Carlos; Craig, David; Amin, Najaf; Berr, Claudine; Lopez, Oscar L; De Jager, Philip L; Deramecourt, Vincent; Johnston, Janet A; Evans, Denis; Lovestone, Simon; Letenneur, Luc; Morón, Francisco J; Rubinsztein, David C; Eiriksdottir, Gudny; Sleegers, Kristel; Goate, Alison M; Fiévet, Nathalie; Huentelman, Matthew J; Gill, Michael; Brown, Kristelle; Kamboh, M Ilyas; Keller, Lina; Barberger-Gateau, Pascale; McGuinness, Bernadette; Larson, Eric B; Green, Robert; Myers, Amanda J; Dufouil, Carole; Todd, Stephen; Wallon, David; Love, Seth; Rogaeva, Ekaterina; Gallacher, John; St George-Hyslop, Peter; Clarimon, Jordi; Lleo, Alberto; Bayer, Anthony; Tsuang, Debby W; Yu, Lei; Tsolaki, Magda; Bossù, Paola; Spalletta, Gianfranco; Proitsi, Petroula; Collinge, John; Sorbi, Sandro; Sanchez-Garcia, Florentino; Fox, Nick C; Hardy, John; Deniz Naranjo, Maria Candida; Bosco, Paolo; Clarke, Robert; Brayne, Carol; Galimberti, Daniela; Mancuso, Michelangelo; Matthews, Fiona; Moebus, Susanne; Mecocci, Patrizia; Zompo, Maria Del; Maier, Wolfgang; Hampel, Harald; Pilotto, Alberto; Bullido, Maria; Panza, Francesco; Caffarra, Paolo; Nacmias, Benedetta; Gilbert, John R; Mayhaus, Manuel; Lannfelt, Lars; Hakonarson, Hakon; Pichler, Sabrina; Carrasquillo, Minerva M; Ingelsson, Martin; Beekly, Duane; Alvarez, Victoria; Zou, Fanggeng; Valladares, Otto; Younkin, Steven G; Coto, Eliecer; Hamilton-Nelson, Kara L; Gu, Wei; Razquin, Cristina; Pastor, Pau; Mateo, Ignacio; Owen, Michael J; Faber, Kelley M; Jonsson, Palmi V; Combarros, Onofre; O’Donovan, Michael C; Cantwell, Laura B; Soininen, Hilkka; Blacker, Deborah; Mead, Simon; Mosley, Thomas H; Bennett, David A; Harris, Tamara B; Fratiglioni, Laura; Holmes, Clive; de Bruijn, Renee F A G; Passmore, Peter; Montine, Thomas J; Bettens, Karolien; Rotter, Jerome I; Brice, Alexis; Morgan, Kevin; Foroud, Tatiana M; Kukull, Walter A; Hannequin, Didier; Powell, John F; Nalls, Michael A; Ritchie, Karen; Lunetta, Kathryn L; Kauwe, John S K; Boerwinkle, Eric; Riemenschneider, Matthias; Boada, Mercè; Hiltunen, Mikko; Martin, Eden R; Schmidt, Reinhold; Rujescu, Dan; Wang, Li-san; Dartigues, Jean-François; Mayeux, Richard; Tzourio, Christophe; Hofman, Albert; Nöthen, Markus M; Graff, Caroline; Psaty, Bruce M; Jones, Lesley; Haines, Jonathan L; Holmans, Peter A; Lathrop, Mark; Pericak-Vance, Margaret A; Launer, Lenore J; Farrer, Lindsay A; van Duijn, Cornelia M; Van Broeckhoven, Christine; Moskvina, Valentina; Seshadri, Sudha; Williams, Julie; Schellenberg, Gerard D; Amouyel, Philippe

    2013-01-01

    Eleven susceptibility loci for late-onset Alzheimer’s disease (LOAD) were identified by previous studies; however, a large portion of the genetic risk for this disease remains unexplained. We conducted a large, two-stage meta-analysis of genome-wide association studies (GWAS) in individuals of European ancestry. In stage 1, we used genotyped and imputed data (7,055,881 SNPs) to perform meta-analysis on 4 previously published GWAS data sets consisting of 17,008 Alzheimer’s disease cases and 37,154 controls. In stage 2,11,632 SNPs were genotyped and tested for association in an independent set of 8,572 Alzheimer’s disease cases and 11,312 controls. In addition to the APOE locus (encoding apolipoprotein E), 19 loci reached genome-wide significance (P < 5 × 10−8) in the combined stage 1 and stage 2 analysis, of which 11 are newly associated with Alzheimer’s disease. PMID:24162737

  14. Identifying past fire regimes throughout the Holocene in Ireland using new and established methods of charcoal analysis

    Science.gov (United States)

    Hawthorne, Donna; Mitchell, Fraser J. G.

    2016-04-01

    Globally, in recent years there has been an increase in the scale, intensity and level of destruction caused by wildfires. This can be seen in Ireland where significant changes in vegetation, land use, agriculture and policy, have promoted an increase in fires in the Irish landscape. This study looks at wildfire throughout the Holocene and draws on lacustrine charcoal records from seven study sites spread across Ireland, to reconstruct the past fire regimes recorded at each site. This work utilises new and accepted methods of fire history reconstruction to provide a recommended analytical procedure for statistical charcoal analysis. Digital charcoal counting was used and fire regime reconstructions carried out via the CharAnalysis programme. To verify this record new techniques are employed; an Ensemble-Member strategy to remove the objectivity associated with parameter selection, a Signal to Noise Index to determine if the charcoal record is appropriate for peak detection, and a charcoal peak screening procedure to validate the identified fire events based on bootstrapped samples. This analysis represents the first study of its kind in Ireland, examining the past record of fire on a multi-site and paleoecological timescale, and will provide a baseline level of data which can be built on in the future when the frequency and intensity of fire is predicted to increase.

  15. Identifying the hydrochemical characteristics of rivers and groundwater by multivariate statistical analysis in the Sanjiang Plain, China

    Science.gov (United States)

    Cao, Yingjie; Tang, Changyuan; Song, Xianfang; Liu, Changming; Zhang, Yinghua

    2014-06-01

    Two multivariate statistical technologies, factor analysis (FA) and discriminant analysis (DA), are applied to study the river and groundwater hydrochemistry and its controlling processes in the Sanjiang Plain of the northeast China. Factor analysis identifies five factors which account for 79.65 % of the total variance in the dataset. Four factors bearing specific meanings as the river and groundwater hydrochemistry controlling processes are divided into two groups, the "natural hydrochemistry evolution" group and the "pollution" group. The "natural hydrochemistry evolution" group includes the salinity factor (factor 1) caused by rock weathering and the residence time factor (factor 2) reflecting the groundwater traveling time. The "pollution" group represents the groundwater quality deterioration due to geogenic pollution caused by elevated Fe and Mn (factor 3) and elevated nitrate (NO3 -) introduced by human activities such as agriculture exploitations (factor 5). The hydrochemical difference and hydraulic connection among rivers (surface water, SW), shallow groundwater (SG) and deep groundwater (DG) group are evaluated by the factor scores obtained from FA and DA (Fisher's method). It is showed that the river water is characterized as low salinity and slight pollution, and the shallow groundwater has the highest salinity and severe pollution. The SW is well separated from SG and DG by Fisher's discriminant function, but the SG and DG can not be well separated showing their hydrochemical similarities, and emphasize hydraulic connections between SG and DG.

  16. Phylogenomic analysis of UDP glycosyltransferase 1 multigene family in Linum usitatissimum identified genes with varied expression patterns

    Directory of Open Access Journals (Sweden)

    Barvkar Vitthal T

    2012-05-01

    Full Text Available Abstract Background The glycosylation process, catalyzed by ubiquitous glycosyltransferase (GT family enzymes, is a prevalent modification of plant secondary metabolites that regulates various functions such as hormone homeostasis, detoxification of xenobiotics and biosynthesis and storage of secondary metabolites. Flax (Linum usitatissimum L. is a commercially grown oilseed crop, important because of its essential fatty acids and health promoting lignans. Identification and characterization of UDP glycosyltransferase (UGT genes from flax could provide valuable basic information about this important gene family and help to explain the seed specific glycosylated metabolite accumulation and other processes in plants. Plant genome sequencing projects are useful to discover complexity within this gene family and also pave way for the development of functional genomics approaches. Results Taking advantage of the newly assembled draft genome sequence of flax, we identified 137 UDP glycosyltransferase (UGT genes from flax using a conserved signature motif. Phylogenetic analysis of these protein sequences clustered them into 14 major groups (A-N. Expression patterns of these genes were investigated using publicly available expressed sequence tag (EST, microarray data and reverse transcription quantitative real time PCR (RT-qPCR. Seventy-three per cent of these genes (100 out of 137 showed expression evidence in 15 tissues examined and indicated varied expression profiles. The RT-qPCR results of 10 selected genes were also coherent with the digital expression analysis. Interestingly, five duplicated UGT genes were identified, which showed differential expression in various tissues. Of the seven intron loss/gain positions detected, two intron positions were conserved among most of the UGTs, although a clear relationship about the evolution of these genes could not be established. Comparison of the flax UGTs with orthologs from four other sequenced dicot

  17. Identifying and characterizing COPD patients in US managed care. A retrospective, cross-sectional analysis of administrative claims data

    Directory of Open Access Journals (Sweden)

    Woodruff Kimberly

    2011-02-01

    Full Text Available Abstract Background Chronic obstructive pulmonary disease (COPD is the fourth leading cause of death among US adults and is projected to be the third by 2020. In anticipation of the increasing burden imposed on healthcare systems and payers by patients with COPD, a means of identifying COPD patients who incur higher healthcare utilization and costs is needed. Methods This retrospective, cross-sectional analysis of US managed care administrative claims data describes a practical way to identify COPD patients. We analyze 7.79 million members for potential inclusion in the COPD cohort, who were continuously eligible during a 1-year study period. A younger commercial population (7.7 million is compared with an older Medicare population (0.115 million. We outline a novel approach to stratifying COPD patients using "complexity" of illness, based on occurrence of claims for given comorbid conditions. Additionally, a unique algorithm was developed to identify and stratify COPD exacerbations using claims data. Results A total of 42,565 commercial (median age 56 years; 51.4% female and 8507 Medicare patients (median 75 years; 53.1% female were identified as having COPD. Important differences were observed in comorbidities between the younger commercial versus the older Medicare population. Stratifying by complexity, 45.0%, 33.6%, and 21.4% of commercial patients and 36.6%, 35.8%, and 27.6% of older patients were low, moderate, and high, respectively. A higher proportion of patients with high complexity disease experienced multiple (≥2 exacerbations (61.7% commercial; 49.0% Medicare than patients with moderate- (56.9%; 41.6%, or low-complexity disease (33.4%; 20.5%. Utilization of healthcare services also increased with an increase in complexity. Conclusion In patients with COPD identified from Medicare or commercial claims data, there is a relationship between complexity as determined by pulmonary and non-pulmonary comorbid conditions and the prevalence

  18. Analysis of microarray-identified genes and microRNAs associated with drug resistance in ovarian cancer.

    Science.gov (United States)

    Zou, Jing; Yin, Fuqiang; Wang, Qi; Zhang, Wei; Li, Li

    2015-01-01

    The aim of this study was to identify potential microRNAs and genes associated with drug resistance in ovarian cancer through web-available microarrays. The drug resistant-related microRNA microarray dataset GS54665 and mRNA dataset GSE33482, GSE28646, and GSE15372 were downloaded from the Gene Expression Omnibus database. Dysregulated microRNAs/genes were screened with GEO2R and were further identified in SKOV3 (SKOV3/DDP) and A2780 (A2780/DDP) cells by real-time quantitative PCR (qRT-PCR), and then their associations with drug resistance was analyzed by comprehensive bioinformatic analyses. Nine microRNAs (microRNA-199a-5p, microRNA-199a-3p, microRNA-199b-3p, microRNA-215, microRNA-335, microRNA-18b, microRNA-363, microRNA-645 and microRNA-141) and 38 genes were identified to be differentially expressed in drug-resistant ovarian cancer cells, with seven genes (NHSL1, EPHA3, USP51, ZSCAN4, EPHA7, SNCA and PI15) exhibited exactly the same expression trends in all three microarrays. Biological process annotation and pathway enrichment analysis of the 9 microRNAs and 38 genes identified several drug resistant-related signaling pathways, and the microRNA-mRNA interaction revealed the existence of a targeted regulatory relationship between the 9 microRNAs and most of the 38 genes. The expression of 9 microRNAs and the 7 genes by qRT-PCR in SKOV3/DDP and A2780/DDP cells indicating a consistent expression profile with the microarrays. Among those, the expression of EPHA7 and PI15 were negatively correlated with that of microRNA-141, and they were also identified as potential targets of this microRNA via microRNA-mRNA interaction. We thus concluded that microRNA-141, EPHA7, and PI15 might jointly participate in the regulation of drug resistance in ovarian cancer and serve as potential targets in targeted therapies. PMID:26261572

  19. Global analysis of WRKY transcription factor superfamily in Setaria identifies potential candidates involved in abiotic stress signalling

    Directory of Open Access Journals (Sweden)

    Mehanathan eMuthamilarasan

    2015-10-01

    Full Text Available Transcription factors (TFs are major players in stress signalling and constitute an integral part of signalling networks. Among the major TFs, WRKY proteins play pivotal roles in regulation of transcriptional reprogramming associated with stress responses. In view of this, genome- and transcriptome-wide identification of WRKY TF family was performed in the C4 model plants, Setaria italica (SiWRKY and S. viridis (SvWRKY, respectively. The study identified 105 SiWRKY and 44 SvWRKY proteins that were computationally analysed for their physicochemical properties. Sequence alignment and phylogenetic analysis classified these proteins into three major groups, namely I, II and III with majority of WRKY proteins belonging to group II (53 SiWRKY and 23 SvWRKY, followed by group III (39 SiWRKY and 11 SvWRKY and group I (10 SiWRKY and 6 SvWRKY. Group II proteins were further classified into 5 subgroups (IIa to IIe based on their phylogeny. Domain analysis showed the presence of WRKY motif and zinc finger-like structures in these proteins along with additional domains in a few proteins. All SiWRKY genes were physically mapped on the S. italica genome and their duplication analysis revealed that 10 and 8 gene pairs underwent tandem and segmental duplications, respectively. Comparative mapping of SiWRKY and SvWRKY genes in related C4 panicoid genomes demonstrated the orthologous relationships between these genomes. In silico expression analysis of SiWRKY and SvWRKY genes showed their differential expression patterns in different tissues and stress conditions. Expression profiling of candidate SiWRKY genes in response to stress (dehydration and salinity and hormone treatments (abscisic acid, salicylic acid and methyl jasmonate suggested the putative involvement of SiWRKY066 and SiWRKY082 in stress and hormone signalling. These genes could be potential candidates for further characterization to delineate their functional roles in abiotic stress signalling.

  20. A point-based angular analysis model for identifying attributes of spaces at nodes in street networks

    Science.gov (United States)

    Jeong, Sang Kyu; Ban, Yong Un

    2016-05-01

    The effects of the axial map as the key representation of the original space syntax have been questioned by some researchers because of the map's discontinuity. To address this concern, angular segment analysis (ASA) was introduced. ASA calculates spatial depths by considering the turning angles of path segments in a street network. However, ASA cannot calculate the attributes of nodes connected to path segments in the network because it analyzes spaces by linear representation, as in the original space syntax. Because the attributes of the two ends (nodes) of a given path segment (link) are not equal to each other, and because they can affect pedestrian and vehicle movement and land use in a street network, the identification of the attributes at nodes (points) would be helpful in the detailed analysis of spaces in the network consisting of nodes and the segments connecting them. Accordingly, this study aims to develop an extended analysis model that can calculate the attributes of spaces at the nodes, including terminuses, bends, and junctions, in the network. To achieve this end, in this study we developed algorithms for a point-based angular analysis (PAA) to find the attributes of spaces at nodes (points), in contrast to ASA, which analyzes spaces using linear representations. As a result, this methodology can obtain distinct values for the attributes of two nodes at the ends of a path segment, through the calculation of spatial depths weighted by considering the turning angles and distances (lengths) along consecutive nodes for a route in the network. Through our methodology, it was identified that spatial configurations of street network affect the social and symbolic centralities of nodes in the network. We believe that our methodology can be a useful tool for planning urban streets and for deriving spatial and social relationships in street networks.

  1. A meta-analysis identifies adolescent idiopathic scoliosis association with LBX1 locus in multiple ethnic groups

    DEFF Research Database (Denmark)

    Londono, Douglas; Kou, Ikuyo; Johnson, Todd A;

    2014-01-01

    International Consortium for Scoliosis Genetics (ICSG). METHODS: Here, we report the first ICSG study, a meta-analysis of the LBX1 locus in six Asian and three non-Asian cohorts. RESULTS: We find significant evidence for association of this locus with AIS susceptibility in all nine cohorts. Results for seven......BACKGROUND: Adolescent idiopathic scoliosis (AIS) is a common rotational deformity of the spine that presents in children worldwide, yet its etiology is poorly understood. Recent genome-wide association studies (GWAS) have identified a few candidate risk loci. One locus near the chromosome 10q24...... major susceptibility locus for AIS in Asian and non-Hispanic white groups, and provide a platform for larger studies in additional ancestral groups....

  2. Proteome analysis. Novel proteins identified at the peribacteroid membrane from ¤Lotus japonicus¤ root nodules

    DEFF Research Database (Denmark)

    Wienkoop, S.; Saalbach, G.

    2003-01-01

    The peribacteroid membrane (PBM) forms the structural and functional interface between the legume plant and the rhizobia. The model legume Lotus japonicus was chosen to study the proteins present at the PBM by proteome analysis. PBM was purified from root nodules by an aqueous polymer two......-phase system. Extracted proteins were subjected to a global trypsin digest. The peptides were separated by nanoscale liquid chromatography and analyzed by tandem mass spectrometry. Searching the nonredundant protein database and the green plant expressed sequence tag database using the tandem mass spectrometry...... data identified approximately 94 proteins, a number far exceeding the number of proteins reported for the PBM hitherto. In particular, a number of membrane proteins like transporters for sugars and sulfate; endomembrane-associated proteins such as GTP-binding proteins and vesicle receptors; and...

  3. Meta-analysis of gene-environment-wide association scans accounting for education level identifies additional loci for refractive error.

    Science.gov (United States)

    Fan, Qiao; Verhoeven, Virginie J M; Wojciechowski, Robert; Barathi, Veluchamy A; Hysi, Pirro G; Guggenheim, Jeremy A; Höhn, René; Vitart, Veronique; Khawaja, Anthony P; Yamashiro, Kenji; Hosseini, S Mohsen; Lehtimäki, Terho; Lu, Yi; Haller, Toomas; Xie, Jing; Delcourt, Cécile; Pirastu, Mario; Wedenoja, Juho; Gharahkhani, Puya; Venturini, Cristina; Miyake, Masahiro; Hewitt, Alex W; Guo, Xiaobo; Mazur, Johanna; Huffman, Jenifer E; Williams, Katie M; Polasek, Ozren; Campbell, Harry; Rudan, Igor; Vatavuk, Zoran; Wilson, James F; Joshi, Peter K; McMahon, George; St Pourcain, Beate; Evans, David M; Simpson, Claire L; Schwantes-An, Tae-Hwi; Igo, Robert P; Mirshahi, Alireza; Cougnard-Gregoire, Audrey; Bellenguez, Céline; Blettner, Maria; Raitakari, Olli; Kähönen, Mika; Seppala, Ilkka; Zeller, Tanja; Meitinger, Thomas; Ried, Janina S; Gieger, Christian; Portas, Laura; van Leeuwen, Elisabeth M; Amin, Najaf; Uitterlinden, André G; Rivadeneira, Fernando; Hofman, Albert; Vingerling, Johannes R; Wang, Ya Xing; Wang, Xu; Tai-Hui Boh, Eileen; Ikram, M Kamran; Sabanayagam, Charumathi; Gupta, Preeti; Tan, Vincent; Zhou, Lei; Ho, Candice E H; Lim, Wan'e; Beuerman, Roger W; Siantar, Rosalynn; Tai, E-Shyong; Vithana, Eranga; Mihailov, Evelin; Khor, Chiea-Chuen; Hayward, Caroline; Luben, Robert N; Foster, Paul J; Klein, Barbara E K; Klein, Ronald; Wong, Hoi-Suen; Mitchell, Paul; Metspalu, Andres; Aung, Tin; Young, Terri L; He, Mingguang; Pärssinen, Olavi; van Duijn, Cornelia M; Jin Wang, Jie; Williams, Cathy; Jonas, Jost B; Teo, Yik-Ying; Mackey, David A; Oexle, Konrad; Yoshimura, Nagahisa; Paterson, Andrew D; Pfeiffer, Norbert; Wong, Tien-Yin; Baird, Paul N; Stambolian, Dwight; Wilson, Joan E Bailey; Cheng, Ching-Yu; Hammond, Christopher J; Klaver, Caroline C W; Saw, Seang-Mei; Rahi, Jugnoo S; Korobelnik, Jean-François; Kemp, John P; Timpson, Nicholas J; Smith, George Davey; Craig, Jamie E; Burdon, Kathryn P; Fogarty, Rhys D; Iyengar, Sudha K; Chew, Emily; Janmahasatian, Sarayut; Martin, Nicholas G; MacGregor, Stuart; Xu, Liang; Schache, Maria; Nangia, Vinay; Panda-Jonas, Songhomitra; Wright, Alan F; Fondran, Jeremy R; Lass, Jonathan H; Feng, Sheng; Zhao, Jing Hua; Khaw, Kay-Tee; Wareham, Nick J; Rantanen, Taina; Kaprio, Jaakko; Pang, Chi Pui; Chen, Li Jia; Tam, Pancy O; Jhanji, Vishal; Young, Alvin L; Döring, Angela; Raffel, Leslie J; Cotch, Mary-Frances; Li, Xiaohui; Yip, Shea Ping; Yap, Maurice K H; Biino, Ginevra; Vaccargiu, Simona; Fossarello, Maurizio; Fleck, Brian; Yazar, Seyhan; Tideman, Jan Willem L; Tedja, Milly; Deangelis, Margaret M; Morrison, Margaux; Farrer, Lindsay; Zhou, Xiangtian; Chen, Wei; Mizuki, Nobuhisa; Meguro, Akira; Mäkelä, Kari Matti

    2016-01-01

    Myopia is the most common human eye disorder and it results from complex genetic and environmental causes. The rapidly increasing prevalence of myopia poses a major public health challenge. Here, the CREAM consortium performs a joint meta-analysis to test single-nucleotide polymorphism (SNP) main effects and SNP × education interaction effects on refractive error in 40,036 adults from 25 studies of European ancestry and 10,315 adults from 9 studies of Asian ancestry. In European ancestry individuals, we identify six novel loci (FAM150B-ACP1, LINC00340, FBN1, DIS3L-MAP2K1, ARID2-SNAT1 and SLC14A2) associated with refractive error. In Asian populations, three genome-wide significant loci AREG, GABRR1 and PDE10A also exhibit strong interactions with education (Pmyopia. PMID:27020472

  4. Using Canonical Correlation Analysis to Identify Environmental Attitude Groups: Considerations for National Forest Planning in the Southwestern U.S.

    Science.gov (United States)

    Prera, Alejandro J.; Grimsrud, Kristine M.; Thacher, Jennifer A.; McCollum, Dan W.; Berrens, Robert P.

    2014-10-01

    As public land management agencies pursue region-specific resource management plans, with meaningful consideration of public attitudes and values, there is a need to characterize the complex mix of environmental attitudes in a diverse population. The contribution of this investigation is to make use of a unique household, mail/internet survey data set collected in 2007 in the Southwestern United States (Region 3 of the U.S. Forest Service). With over 5,800 survey responses to a set of 25 Public Land Value statements, canonical correlation analysis is able to identify 7 statistically distinct environmental attitudinal groups. We also examine the effect of expected changes in regional demographics on overall environmental attitudes, which may help guide in the development of socially acceptable long-term forest management policies. Results show significant support for conservationist management policies and passive environmental values, as well as a greater role for stakeholder groups in generating consensus for current and future forest management policies.

  5. An Integrated Metabolomic and Microbiome Analysis Identified Specific Gut Microbiota Associated with Fecal Cholesterol and Coprostanol in Clostridium difficile Infection

    Science.gov (United States)

    Antharam, Vijay C.; McEwen, Daniel C.; Garrett, Timothy J.; Dossey, Aaron T.; Li, Eric C.; Kozlov, Andrew N.; Mesbah, Zhubene; Wang, Gary P.

    2016-01-01

    Clostridium difficile infection (CDI) is characterized by dysbiosis of the intestinal microbiota and a profound derangement in the fecal metabolome. However, the contribution of specific gut microbes to fecal metabolites in C. difficile-associated gut microbiome remains poorly understood. Using gas-chromatography mass spectrometry (GC-MS) and 16S rRNA deep sequencing, we analyzed the metabolome and microbiome of fecal samples obtained longitudinally from subjects with Clostridium difficile infection (n = 7) and healthy controls (n = 6). From 155 fecal metabolites, we identified two sterol metabolites at >95% match to cholesterol and coprostanol that significantly discriminated C. difficile-associated gut microbiome from healthy microbiota. By correlating the levels of cholesterol and coprostanol in fecal extracts with 2,395 bacterial operational taxonomic units (OTUs) determined by 16S rRNA sequencing, we identified 63 OTUs associated with high levels of coprostanol and 2 OTUs correlated with low coprostanol levels. Using indicator species analysis (ISA), 31 of the 63 coprostanol-associated bacteria correlated with health, and two Veillonella species were associated with low coprostanol levels that correlated strongly with CDI. These 65 bacterial taxa could be clustered into 12 sub-communities, with each community containing a consortium of organisms that co-occurred with one another. Our studies identified 63 human gut microbes associated with cholesterol-reducing activities. Given the importance of gut bacteria in reducing and eliminating cholesterol from the GI tract, these results support the recent finding that gut microbiome may play an important role in host lipid metabolism. PMID:26871580

  6. An Integrated Metabolomic and Microbiome Analysis Identified Specific Gut Microbiota Associated with Fecal Cholesterol and Coprostanol in Clostridium difficile Infection.

    Directory of Open Access Journals (Sweden)

    Vijay C Antharam

    Full Text Available Clostridium difficile infection (CDI is characterized by dysbiosis of the intestinal microbiota and a profound derangement in the fecal metabolome. However, the contribution of specific gut microbes to fecal metabolites in C. difficile-associated gut microbiome remains poorly understood. Using gas-chromatography mass spectrometry (GC-MS and 16S rRNA deep sequencing, we analyzed the metabolome and microbiome of fecal samples obtained longitudinally from subjects with Clostridium difficile infection (n = 7 and healthy controls (n = 6. From 155 fecal metabolites, we identified two sterol metabolites at >95% match to cholesterol and coprostanol that significantly discriminated C. difficile-associated gut microbiome from healthy microbiota. By correlating the levels of cholesterol and coprostanol in fecal extracts with 2,395 bacterial operational taxonomic units (OTUs determined by 16S rRNA sequencing, we identified 63 OTUs associated with high levels of coprostanol and 2 OTUs correlated with low coprostanol levels. Using indicator species analysis (ISA, 31 of the 63 coprostanol-associated bacteria correlated with health, and two Veillonella species were associated with low coprostanol levels that correlated strongly with CDI. These 65 bacterial taxa could be clustered into 12 sub-communities, with each community containing a consortium of organisms that co-occurred with one another. Our studies identified 63 human gut microbes associated with cholesterol-reducing activities. Given the importance of gut bacteria in reducing and eliminating cholesterol from the GI tract, these results support the recent finding that gut microbiome may play an important role in host lipid metabolism.

  7. An Integrated Metabolomic and Microbiome Analysis Identified Specific Gut Microbiota Associated with Fecal Cholesterol and Coprostanol in Clostridium difficile Infection.

    Science.gov (United States)

    Antharam, Vijay C; McEwen, Daniel C; Garrett, Timothy J; Dossey, Aaron T; Li, Eric C; Kozlov, Andrew N; Mesbah, Zhubene; Wang, Gary P

    2016-01-01

    Clostridium difficile infection (CDI) is characterized by dysbiosis of the intestinal microbiota and a profound derangement in the fecal metabolome. However, the contribution of specific gut microbes to fecal metabolites in C. difficile-associated gut microbiome remains poorly understood. Using gas-chromatography mass spectrometry (GC-MS) and 16S rRNA deep sequencing, we analyzed the metabolome and microbiome of fecal samples obtained longitudinally from subjects with Clostridium difficile infection (n = 7) and healthy controls (n = 6). From 155 fecal metabolites, we identified two sterol metabolites at >95% match to cholesterol and coprostanol that significantly discriminated C. difficile-associated gut microbiome from healthy microbiota. By correlating the levels of cholesterol and coprostanol in fecal extracts with 2,395 bacterial operational taxonomic units (OTUs) determined by 16S rRNA sequencing, we identified 63 OTUs associated with high levels of coprostanol and 2 OTUs correlated with low coprostanol levels. Using indicator species analysis (ISA), 31 of the 63 coprostanol-associated bacteria correlated with health, and two Veillonella species were associated with low coprostanol levels that correlated strongly with CDI. These 65 bacterial taxa could be clustered into 12 sub-communities, with each community containing a consortium of organisms that co-occurred with one another. Our studies identified 63 human gut microbes associated with cholesterol-reducing activities. Given the importance of gut bacteria in reducing and eliminating cholesterol from the GI tract, these results support the recent finding that gut microbiome may play an important role in host lipid metabolism. PMID:26871580

  8. Analysis of multiple transcriptomes of the African oil palm (Elaeis guineensis) to identify reference genes for RT-qPCR.

    Science.gov (United States)

    Xia, Wei; Mason, Annaliese S; Xiao, Yong; Liu, Zheng; Yang, Yaodong; Lei, Xintao; Wu, Xiaoming; Ma, Zilong; Peng, Ming

    2014-08-20

    The African oil palm (Elaeis guineensis), which is grown in tropical and subtropical regions, is a highly productive oil-bearing crop. For gene expression-based analyses such as reverse transcription-quantitative real time PCR (RT-qPCR), reference genes are essential to provide a baseline with which to quantify relative gene expression. Normalization using reliable reference genes is critical in correctly interpreting expression data from RT-qPCR. In order to identify suitable reference genes in African oil palm, 17 transcriptomes of different tissues obtained from NCBI were systematically assessed for gene expression variation. In total, 53 putative candidate reference genes with coefficient of variation values <3.0 were identified: 18 in reproductive tissue and 35 in vegetative tissue. Analysis for enriched functions showed that approximately 90% of identified genes were clustered in cell component gene functions, and 12 out of 53 genes were traditional housekeeping genes. We selected and validated 16 reference genes chosen from leaf tissue transcriptomes by using RT-qPCR in sets of cold, drought and high salinity treated samples, and ranked expression stability using statistical algorithms geNorm, Normfinder and Bestkeeper. Genes encoding actin, adenine phosphoribosyltransferase and eukaryotic initiation factor 4A genes were the most stable genes over the cold, drought and high salinity stresses. Identification of stably expressed genes as reference gene candidates from multiple transcriptome datasets was found to be reliable and efficient, and some traditional housekeeping genes were more stably expressed than others. We provide a useful molecular genetic resource for future gene expression studies in African oil palm, facilitating molecular genetics approaches for crop improvement in this species. PMID:24862192

  9. Global resting-state fMRI analysis identifies frontal cortex, striatal, and cerebellar dysconnectivity in obsessive-compulsive disorder

    Science.gov (United States)

    Anticevic, Alan; Hu, Sien; Zhang, Sheng; Savic, Aleksandar; Billingslea, Eileen; Wasylink, Suzanne; Repovs, Grega; Cole, Michael W.; Bednarski, Sarah; Krystal, John H.; Bloch, Michael H.; Li, Chiang-shan R.; Pittenger, Christopher

    2013-01-01

    Background Obsessive-compulsive disorder (OCD) is associated with regional hyperactivity in cortico-striatal circuits. However, the large-scale patterns of abnormal neural connectivity remain uncharacterized. Resting-state functional connectivity (rs-fcMRI) studies have shown altered connectivity within the implicated circuitry, but they have used seed-driven approaches wherein a circuit of interest is defined a priori. This limits their ability to identify network abnormalities beyond the prevailing framework. This limitation is particularly problematic within the prefrontal cortex (PFC), which is large and heterogeneous and where a priori specification of seeds is therefore difficult. A hypothesis-neutral data-driven approach to the analysis of connectivity is vital. Method We analyzed rs-fcMRI data collected at 3T in 27 OCD patients and 66 matched controls using a recently developed data-driven global brain connectivity (GBC) method, both within the PFC and across the whole brain. Results We found clusters of decreased connectivity in the left lateral PFC in both whole-brain and PFC-restricted analyses. Increased GBC was found in the right putamen and left cerebellar cortex. Within ROIs in the basal ganglia and thalamus, we identified increased GBC in dorsal striatum and anterior thalamus, which was reduced in patients on medication. The ventral striatum/nucleus accumbens exhibited decreased global connectivity, but increased connectivity specifically with the ventral anterior cingulate cortex in subjects with OCD. Conclusion These findings identify previously uncharacterized PFC and basal ganglia dysconnectivity in OCD and reveal differentially altered GBC in dorsal and ventral striatum. Results highlight complex disturbances in PFC networks, which could contribute to disrupted cortical-striatal-cerebellar circuits in OCD. PMID:24314349

  10. Genetic analysis of durable resistance to Magnaporthe oryzae in the rice accession Gigante Vercelli identified two blast resistance loci.

    Science.gov (United States)

    Urso, Simona; Desiderio, Francesca; Biselli, Chiara; Bagnaresi, Paolo; Crispino, Laura; Piffanelli, Pietro; Abbruscato, Pamela; Assenza, Federica; Guarnieri, Giada; Cattivelli, Luigi; Valè, Giampiero

    2016-02-01

    Rice cultivars exhibiting durable resistance to blast, the most important rice fungal disease provoking up to 30 % of rice losses, are very rare and searching for sources of such a resistance represents a priority for rice-breeding programs. To this aim we analyzed Gigante Vercelli (GV) and Vialone Nano (VN), two temperate japonica rice cultivars in Italy displaying contrasting response to blast, with GV showing a durable and broad-spectrum resistance, whereas VN being highly susceptible. An SSR-based genetic map developed using a GV × VN population segregating for blast resistance identified two blast resistance loci, localized to the long arm of chromosomes 1 and 4 explaining more than 78 % of the observed phenotypic variation for blast resistance. The pyramiding of two blast resistance QTLs was therefore involved in the observed durable resistance in GV. Mapping data were integrated with information obtained from RNA-seq expression profiling of all classes of resistance protein genes (resistance gene analogs, RGAs) and with the map position of known cloned or mapped blast resistance genes to search candidates for the GV resistant response. A co-localization of RGAs with the LOD peak or the marker interval of the chromosome 1 QTL was highlighted and a valuable tool for selecting the resistance gene during breeding programs was developed. Comparative analysis with known blast resistance genes revealed co-positional relationships between the chromosome 1 QTL with the Pi35/Pish blast resistance alleles and showed that the chromosome 4 QTL represents a newly identified blast resistance gene. The present genetic analysis has therefore allowed the identification of two blast resistance loci in the durable blast-resistant rice cultivar GV and tools for molecular selection of these resistance genes. PMID:26141566

  11. Integrative Functional Genomics Analysis of Sustained Polyploidy Phenotypes in Breast Cancer Cells Identifies an Oncogenic Profile for GINS2

    Directory of Open Access Journals (Sweden)

    Juha K. Rantala

    2010-11-01

    Full Text Available Aneuploidy is among the most obvious differences between normal and cancer cells. However, mechanisms contributing to development and maintenance of aneuploid cell growth are diverse and incompletely understood. Functional genomics analyses have shown that aneuploidy in cancer cells is correlated with diffuse gene expression signatures and aneuploidy can arise by a variety of mechanisms, including cytokinesis failures, DNA endoreplication, and possibly through polyploid intermediate states. To identify molecular processes contributing to development of aneuploidy, we used a cell spot microarray technique to identify genes inducing polyploidy and/or allowing maintenance of polyploid cell growth in breast cancer cells. Of 5760 human genes screened, 177 were found to induce severe DNA content alterations on prolonged transient silencing. Association with response to DNA damage stimulus and DNA repair was found to be the most enriched cellular processes among the candidate genes. Functional validation analysis of these genes highlighted GINS2 as the highest ranking candidate inducing polyploidy, accumulation of endogenous DNA damage, and impairing cell proliferation on inhibition. The cell growth inhibition and induction of polyploidy by suppression of GINS2 was verified in a panel of breast cancer cell lines. Bioinformatic analysis of published gene expression and DNA copy number studies of clinical breast tumors suggested GINS2 to be associated with the aggressive characteristics of a subgroup of breast cancers in vivo. In addition, nuclear GINS2 protein levels distinguished actively proliferating cancer cells suggesting potential use of GINS2 staining as a biomarker of cell proliferation as well as a potential therapeutic target.

  12. Affected kindred analysis of human X chromosome exomes to identify novel X-linked intellectual disability genes.

    Directory of Open Access Journals (Sweden)

    Tejasvi S Niranjan

    Full Text Available X-linked Intellectual Disability (XLID is a group of genetically heterogeneous disorders caused by mutations in genes on the X chromosome. Deleterious mutations in ~10% of X chromosome genes are implicated in causing XLID disorders in ~50% of known and suspected XLID families. The remaining XLID genes are expected to be rare and even private to individual families. To systematically identify these XLID genes, we sequenced the X chromosome exome (X-exome in 56 well-established XLID families (a single affected male from 30 families and two affected males from 26 families using an Agilent SureSelect X-exome kit and the Illumina HiSeq 2000 platform. To enrich for disease-causing mutations, we first utilized variant filters based on dbSNP, the male-restricted portions of the 1000 Genomes Project, or the Exome Variant Server datasets. However, these databases present limitations as automatic filters for enrichment of XLID genes. We therefore developed and optimized a strategy that uses a cohort of affected male kindred pairs and an additional small cohort of affected unrelated males to enrich for potentially pathological variants and to remove neutral variants. This strategy, which we refer to as Affected Kindred/Cross-Cohort Analysis, achieves a substantial enrichment for potentially pathological variants in known XLID genes compared to variant filters from public reference databases, and it has identified novel XLID candidate genes. We conclude that Affected Kindred/Cross-Cohort Analysis can effectively enrich for disease-causing genes in rare, Mendelian disorders, and that public reference databases can be used effectively, but cautiously, as automatic filters for X-linked disorders.

  13. Periostin identified as a potential biomarker of prostate cancer by iTRAQ-proteomics analysis of prostate biopsy

    Directory of Open Access Journals (Sweden)

    Tong Shijun

    2011-04-01

    Full Text Available Abstract Background Proteomics may help us better understand the changes of multiple proteins involved in oncogenesis and progression of prostate cancer(PCa and identify more diagnostic and prognostic biomarkers. The aim of this study was to screen biomarkers of PCa by the proteomics analysis using isobaric tags for relative and absolute quantification(iTRAQ. Methods The patients undergoing prostate biopsies were classified into 3 groups according to pathological results: benign prostate hyperplasia (BPH, n = 20, PCa(n = 20 and BPH with local prostatic intraepithelial neoplasm(PIN, n = 10. Then, all the specimens from these patients were analyzed by iTRAQ and two-dimensional liquid chromatography-tandem mass spectrometry (2DLC-MS/MS. The Gene Ontology(GO function and the transcription regulation networks of the differentially expressed were analyzed by MetaCore software. Western blotting and Immunohistochemical staining were used to analyze the interesting proteins. Result A total of 760 proteins were identified from 13787 distinct peptides, including two common proteins that enjoy clinical application: prostate specific antigen (PSA and prostatic acid phosphatase(PAP. Proteins that expressed differentially between PCa and BPH group were further analyzed. Compared with BPH, 20 proteins were significantly differentially up-regulated (>1.5-fold while 26 were significantly down-regulated in PCa( Conclusion Our study indicates that the iTRAQ technology is a new strategy for global proteomics analysis of the tissues of PCa. A significant up-regulation of periostin in PCa compared to BPH may provide clues for not only a promising biomarker for the prognosis of PCa but also a potential target for therapeutical intervention.

  14. Genome-wide linkage analysis of global gene expression in loin muscle tissue identifies candidate genes in pigs.

    Directory of Open Access Journals (Sweden)

    Juan Pedro Steibel

    Full Text Available BACKGROUND: Nearly 6,000 QTL have been reported for 588 different traits in pigs, more than in any other livestock species. However, this effort has translated into only a few confirmed causative variants. A powerful strategy for revealing candidate genes involves expression QTL (eQTL mapping, where the mRNA abundance of a set of transcripts is used as the response variable for a QTL scan. METHODOLOGY/PRINCIPAL FINDINGS: We utilized a whole genome expression microarray and an F(2 pig resource population to conduct a global eQTL analysis in loin muscle tissue, and compared results to previously inferred phenotypic QTL (pQTL from the same experimental cross. We found 62 unique eQTL (FDR <10% and identified 3 gene networks enriched with genes subject to genetic control involved in lipid metabolism, DNA replication, and cell cycle regulation. We observed strong evidence of local regulation (40 out of 59 eQTL with known genomic position and compared these eQTL to pQTL to help identify potential candidate genes. Among the interesting associations, we found aldo-keto reductase 7A2 (AKR7A2 and thioredoxin domain containing 12 (TXNDC12 eQTL that are part of a network associated with lipid metabolism and in turn overlap with pQTL regions for marbling, % intramuscular fat (% fat and loin muscle area on Sus scrofa (SSC chromosome 6. Additionally, we report 13 genomic regions with overlapping eQTL and pQTL involving 14 local eQTL. CONCLUSIONS/SIGNIFICANCE: Results of this analysis provide novel candidate genes for important complex pig phenotypes.

  15. A novel time-course cDNA microarray analysis method identifies genes associated with the development of cisplatin resistance.

    Science.gov (United States)

    Whiteside, Martin A; Chen, Dung-Tsa; Desmond, Renee A; Abdulkadir, Sarki A; Johanning, Gary L

    2004-01-22

    In recent years, most cDNA microarray studies of chemotherapeutic drug resistance have not considered the temporal pattern of gene expression. The objective of this study was to examine systematically changes in gene expression of NCI-H226 and NCI-H2170 lung cancer cells treated weekly with IC10 doses of cisplatin. NCI-H226 lung cancer cells were treated weekly with an IC10 dose of cisplatin. Candidate genes with a fold change of 2.0 or more were identified from this study. A second experiment was conducted by exposing NCI-H2170 cells to cisplatin doses that were increased in week 4 and decreased in week 5. Overall, 44 genes were differentially expressed in both the NCI-H226 and NCI-H2170 cell lines. In the NCI-H2170 cell line, 24 genes had a twofold gene expression change from weeks 3 to 4. Real-time PCR found a significant correlation of the gene expression changes for seven genes of interest. This small time-ordered series identified novel genes associated with cisplatin resistance. This kind of analysis should be viewed as a first step towards building gene-regulatory networks. PMID:14737109

  16. Global analysis of induced transcription factors and cofactors identifies Tfdp2 as an essential coregulator during terminal erythropoiesis.

    Science.gov (United States)

    Chen, Cynthia; Lodish, Harvey F

    2014-06-01

    Key transcriptional regulators of terminal erythropoiesis, such as GATA-binding factor 1 (GATA1) and T-cell acute lymphocytic leukemia protein 1 (TAL1), have been well characterized, but transcription factors and cofactors and their expression modulations have not yet been explored on a global scale. Here, we use global gene expression analysis to identify 28 transcription factors and 19 transcriptional cofactors induced during terminal erythroid differentiation whose promoters are enriched for binding by GATA1 and TAL1. Utilizing protein-protein interaction databases to identify cofactors for each transcription factor, we pinpoint several co-induced pairs, of which E2f2 and its cofactor transcription factor Dp-2 (Tfdp2) were the most highly induced. TFDP2 is a critical cofactor required for proper cell cycle control and gene expression. GATA1 and TAL1 are bound to the regulatory regions of Tfdp2 and upregulate its expression and knockdown of Tfdp2 results in significantly reduced rates of proliferation as well as reduced upregulation of many erythroid-important genes. Loss of Tfdp2 also globally inhibits the normal downregulation of many E2F2 target genes, including those that regulate the cell cycle, causing cells to accumulate in S phase and resulting in increased erythrocyte size. Our findings highlight the importance of TFDP2 in coupling the erythroid cell cycle with terminal differentiation and validate this study as a resource for future work on elucidating the role of diverse transcription factors and coregulators in erythropoiesis. PMID:24607859

  17. Proteomic Analysis of Rhizoctonia solani Identifies Infection-specific, Redox Associated Proteins and Insight into Adaptation to Different Plant Hosts.

    Science.gov (United States)

    Anderson, Jonathan P; Hane, James K; Stoll, Thomas; Pain, Nicholas; Hastie, Marcus L; Kaur, Parwinder; Hoogland, Christine; Gorman, Jeffrey J; Singh, Karam B

    2016-04-01

    Rhizoctonia solaniis an important root infecting pathogen of a range of food staples worldwide including wheat, rice, maize, soybean, potato and others. Conventional resistance breeding strategies are hindered by the absence of tractable genetic resistance in any crop host. Understanding the biology and pathogenicity mechanisms of this fungus is important for addressing these disease issues, however, little is known about howR. solanicauses disease. This study capitalizes on recent genomic studies by applying mass spectrometry based proteomics to identify soluble, membrane-bound and culture filtrate proteins produced under wheat infection and vegetative growth conditions. Many of the proteins found in the culture filtrate had predicted functions relating to modification of the plant cell wall, a major activity required for pathogenesis on the plant host, including a number found only under infection conditions. Other infection related proteins included a high proportion of proteins with redox associated functions and many novel proteins without functional classification. The majority of infection only proteins tested were confirmed to show transcript up-regulation during infection including a thaumatin which increased susceptibility toR. solaniwhen expressed inNicotiana benthamiana In addition, analysis of expression during infection of different plant hosts highlighted how the infection strategy of this broad host range pathogen can be adapted to the particular host being encountered. Data are available via ProteomeXchange with identifier PXD002806. PMID:26811357