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Sample records for profiles selective identification

  1. Effectiveness of different solid-phase microextraction fibres for differentiation of selected Madeira island fruits based on their volatile metabolite profile--identification of novel compounds.

    Science.gov (United States)

    Pereira, João; Pereira, Jorge; Câmara, José S

    2011-01-15

    A headspace solid-phase microextraction (HS-SPME) procedure based on five commercialised fibres (85 μm polyacrylate - PA, 100 μm polydimethylsiloxane - PDMS, 65 μm polydimethylsiloxane/divinylbenzene - PDMS/DVB, 70 μm carbowax/divinylbenzene - CW/DVB and 85 μm carboxen/polydimethylsiloxane - CAR/PDMS) is presented for the characterization of the volatile metabolite profile of four selected Madeira island fruit species, lemon (Citrus limon), kiwi (Actinidia deliciosa), papaya (Carica papaya L.) and Chickasaw plum (Prunus angustifolia). The isolation of metabolites was followed by thermal desorption gas chromatography-quadrupole mass spectrometry (GC-qMS) methodology. The performance of the target fibres was evaluated and compared. The SPME fibre coated with CW/DVB afforded the highest extraction efficiency in kiwi and papaya pulps, while in lemon and plum the same was achieved with PMDS/DVB fibre. This procedure allowed for the identification of 80 compounds, 41 in kiwi, 24 in plums, 23 in papaya and 20 in lemon. Considering the best extraction conditions, the most abundant volatiles identified in kiwi were the intense aldehydes and ethyl esters such as (E)-2-hexenal and ethyl butyrate, while in Chicasaw plum predominate 2-hexenal, 2-methyl-4-pentenal, hexanal, (Z)-3-hexenol and cyclohexylene oxide. The major compounds identified in the papaya pulp were benzyl isothiocyanate, linalool oxide, furfural, hydroxypropanone, linalool and acetic acid. Finally, lemon was shown to be the most divergent of the four fruits, being its aroma profile composed almost exclusively by terpens, namely limonene, γ-terpinene, o-cymene and α-terpinolene. Thirty two volatiles were identified for the first time in the fruit or close related species analysed and 14 volatiles are reported as novel volatile metabolites in fruits. This includes 5 new compounds in kiwi (2-cyclohexene-1,4-dione, furyl hydroxymethyl ketone, 4-hydroxydihydro-2(3H)-furanone, 5-acetoxymethyl-2-furaldehyde and

  2. Transposon identification using profile HMMs

    Science.gov (United States)

    2010-01-01

    Background Transposons are "jumping genes" that account for large quantities of repetitive content in genomes. They are known to affect transcriptional regulation in several different ways, and are implicated in many human diseases. Transposons are related to microRNAs and viruses, and many genes, pseudogenes, and gene promoters are derived from transposons or have origins in transposon-induced duplication. Modeling transposon-derived genomic content is difficult because they are poorly conserved. Profile hidden Markov models (profile HMMs), widely used for protein sequence family modeling, are rarely used for modeling DNA sequence families. The algorithm commonly used to estimate the parameters of profile HMMs, Baum-Welch, is prone to prematurely converge to local optima. The DNA domain is especially problematic for the Baum-Welch algorithm, since it has only four letters as opposed to the twenty residues of the amino acid alphabet. Results We demonstrate with a simulation study and with an application to modeling the MIR family of transposons that two recently introduced methods, Conditional Baum-Welch and Dynamic Model Surgery, achieve better estimates of the parameters of profile HMMs across a range of conditions. Conclusions We argue that these new algorithms expand the range of potential applications of profile HMMs to many important DNA sequence family modeling problems, including that of searching for and modeling the virus-like transposons that are found in all known genomes. PMID:20158867

  3. Effectiveness of different solid-phase microextraction fibres for differentiation of selected Madeira island fruits based on their volatile metabolite profile: identification of novel compounds

    OpenAIRE

    Pereira, João; Pereira, Jorge; Câmara, José de Sousa

    2011-01-01

    A headspace solid-phase microextraction (HS-SPME) procedure based on five commercialised fibres (85 μm polyacrylate – PA, 100 μm polydimethylsiloxane – PDMS, 65 μm polydimethylsiloxane/divinylbenzene – PDMS/DVB, 70 μm carbowax/divinylbenzene – CW/DVB and 85 μm carboxen/polydimethylsiloxane – CAR/PDMS) is presented for the characterization of the volatile metabolite profile of four selected Madeira island fruit species, lemon (Citrus limon), kiwi (Actinidia deliciosa), papaya (Carica papaya L....

  4. Used Fuel Cask Identification through Neutron Profile

    Energy Technology Data Exchange (ETDEWEB)

    Rauch, Eric Benton [Los Alamos National Lab. (LANL), Los Alamos, NM (United States)

    2015-11-20

    Currently, most spent fuel is stored near reactors. An interim consolidated fuel storage facility would receive fuel from multiple sites and store it in casks on site for decades. For successful operation of such a facility there is need for a way to restore continuity of knowledge if lost as well as a method that will indicate state of fuel inside the cask. Used nuclear fuel is identifiable by its radiation emission, both gamma and neutron. Neutron emission from fission products, multiplication from remaining fissile material, and the unique distribution of both in each cask produce a unique neutron signature. If two signatures taken at different times do not match, either changes within the fuel content or misidentification of a cask occurred. It was found that identification of cask loadings works well through the profile of emitted neutrons in simulated real casks. Even casks with similar overall neutron emission or average counts around the circumference can be distinguished from each other by analyzing the profile. In conclusion, (1) identification of unaltered casks through neutron signature profile is viable; (2) collecting the profile provides insight to the condition and intactness of the fuel stored inside the cask; and (3) the signature profile is stable over time.

  5. Identification of genes showing differential expression profile ...

    Indian Academy of Sciences (India)

    Suppression subtractive hybridization was used to identify genes showing differential expression profile associated withgrowth rate in skeletal muscle tissue of Landrace weanling pig. Two subtracted cDNA populations were generated from mus-culus longissimus muscle tissues of selected pigs with extreme expected ...

  6. On active current selection for Lagrangian profilers

    DEFF Research Database (Denmark)

    Jouffroy, Jerome; Zhou, Qiuyang; Zielinski, Oliver

    2013-01-01

    simple and computationally-efficient control strategies to actively select and use ocean currents so that a profiler can autonomously reach a desired destination. After briefly presenting a typical profiler and possible mechanical modifications for a coastal environment, we introduce simple mathematical...

  7. IDENTIFICATION AND SELECTION OF SIX SIGMA PROJECTS

    Directory of Open Access Journals (Sweden)

    Abdalhkeim FA. Flifel

    2017-04-01

    Full Text Available Six Sigma is a well-structured and proven methodology for improving organizational performance. It helps achieving the goals of the organization through the use of project-driven approach. The implementation of Six sigma approach depends on proper identification and selection of projects, moreover, the selection of right Six sigma projects is one of the critical success factors of six sigma efforts. The paper provides the sources for the identification of potential projects, top down and bottom up approaches, the process of selection of projects, guidelines that assist the selection of appropriate projects, selection criteria which must be precisely chosen in accordance with the objectives, needs and capabilities of the organization as well as sophisticated techniques and tools recommended in the literature for the selection of projects.

  8. Identification and Profiling of a Selective and Brain Penetrant Radioligand for in Vivo Target Occupancy Measurement of Casein Kinase 1 (CK1) Inhibitors.

    Science.gov (United States)

    Wager, Travis T; Galatsis, Paul; Chandrasekaran, Ramalakshmi Y; Butler, Todd W; Li, Jianke; Zhang, Lei; Mente, Scot; Subramanyam, Chakrapani; Liu, Shenping; Doran, Angela C; Chang, Cheng; Fisher, Katherine; Grimwood, Sarah; Hedde, Joseph R; Marconi, Michael; Schildknegt, Klaas

    2017-09-20

    To enable the clinical development of our CNS casein kinase 1 delta/epsilon (CK1δ/ε) inhibitor project, we investigated the possibility of developing a CNS positron emission tomography (PET) radioligand. For this effort, we focused our design and synthesis efforts on the initial CK1δ/ε inhibitor HTS hits with the goal of identifying a compound that would fulfill a set of recommended PET ligand criteria. We identified [3H]PF-5236216 (9) as a tool ligand that meets most of the key CNS PET attributes including high CNS MPO PET desirability score and kinase selectivity, CNS penetration, and low nonspecific binding. We further used [3H]-9 to determine the binding affinity for PF-670462, a literature CK1δ/ε inhibitor tool compound. Lastly, [3H]-9 was used to measure in vivo target occupancy (TO) of PF-670462 in mouse and correlated TO with CK1δ/ε in vivo pharmacology (circadian rhythm modulation).

  9. Identification of genes showing differential expression profile ...

    Indian Academy of Sciences (India)

    firmed difference in expression profiles of the identified genes in musculus longissimus muscle tissues between the two Lan- ..... Discussion. The EEF1A2, TSG101 and TTN identified as upregulated genes in high-growth group have been reported to be involved in myotube survival and .... cDNA probes and libraries. Proc.

  10. On Active Current Selection for Lagrangian Profilers

    Directory of Open Access Journals (Sweden)

    J. Jouffroy

    2013-01-01

    Full Text Available Autonomous Lagrangian profilers are now widely used as measurement and monitoring platforms, notably in observation programs as Argo. In a typical mode of operation, the profilers drift passively at their parking depthbefore making a vertical profile to go back to the surface. This paperpresents simple and computationally-efficient control strategies to activelyselect and use ocean currents so that a profiler can autonomously reach adesired destination. After briefly presenting a typical profiler andpossible mechanical modifications for a coastal environment, we introducesimple mathematical models for the profiler and the currents it will use. Wethen present simple feedback controllers that, using the direction of thecurrents and taking into account the configuration of the environment(coastal or deep-sea, is able to steer the profiler to any desiredhorizontal location. To illustrate the approach, a few results are presentedusing both simulated currents and real current velocity profiles from theNorth Sea.

  11. Day of Launch Profile Selection for Pad Abort Guidance

    Science.gov (United States)

    Whitley, Ryan J.

    2010-01-01

    A day of launch selection approach that involves choosing from an array of pitch profiles of varying loft was analyzed with the purpose of reducing the risk of a land landing failure during a pad abort. It was determined that selecting from three pitch profiles can reduce the number of waterline abort performance requirement failures approximately in half without compromising other performance metrics.

  12. Antimicrobial susceptibility profile of selected bacteraemic ...

    African Journals Online (AJOL)

    Antimicrobial susceptibility tests were performed by 12 participating laboratories according to the Clinical and Laboratory Standards Institute (CLSI) guidelines. Extended-spectrum 13-lactamase (ESBL) production was determined in selected species of Enterobacteriaceae irrespective of source. Results. The overall ...

  13. Evaluation of some selected haemorrheological profile during ...

    African Journals Online (AJOL)

    Various changes during pregnancy and lactation have been extensively documented. However, there is still a need for more extensive studies on menstruation -an important reproductive phenomenon. Considering the clinical relevance of hematological parameters, this study therefore, investigates some selected ...

  14. A simple data base for identification of risk profiles

    Energy Technology Data Exchange (ETDEWEB)

    Munganahalli, D.

    1996-12-31

    Sedco Forex is a drilling contractor that operates approximately 80 rigs on land and offshore worldwide. The HSE management system developed by Sedco Forex is an effort to prevent accidents and minimize losses. An integral part of the HSE management system is establishing risk profiles and thereby minimizing risk and reducing loss exposures. Risk profiles are established based on accident reports, potential accident reports and other risk identification reports (RIR) like the Du Pont STOP system. A rig could fill in as many as 30 accident reports, 30 potential accident reports and 500 STOP cards each year. Statistics are important for an HSE management system, since they are indicators of success or failure of HSE systems. It is however difficult to establish risk profiles based on statistical information, unless tools are available at the rig site to aid with the analysis. Risk profiles are then used to identify important areas in the operation that may require specific attention to minimize the loss exposure. Programs to address the loss exposure can then be identified and implemented with either a local or corporate approach. In January 1995, Sedco Forex implemented a uniform HSE Database on all the rigs worldwide. In one year companywide, the HSE database would contain information on approximately 500 accident and potential accident reports, and 10,000 STOP cards. This paper demonstrates the salient features of the database and describes how it has helped in establishing key risk profiles. It also shows a recent example of how risk profiles have been established at the corporate level and used to identify the key contributing factors to hands and finger injuries. Based on this information, a campaign was launched to minimize the frequency of occurrence and associated loss attributed to hands and fingers accidents.

  15. Flies selected for longevity retain a young gene expression profile

    DEFF Research Database (Denmark)

    Sarup, Pernille Merete; Sørensen, Peter; Loeschcke, Volker

    2011-01-01

      We investigated correlated responses in the transcriptomes of longevity-selected lines of Drosophila melanogaster to identify pathways that affect life span in metazoan systems. We evaluated the gene expression profile in young, middle-aged, and old male flies, finding that 530 genes were...... differentially expressed between selected and control flies when measured at the same chronological age. The longevity-selected flies consistently showed expression profiles more similar to control flies one age class younger than control flies of the same age. This finding is in accordance with a younger gene...... expression profile in longevity-selected lines. Among the genes down-regulated in longevity-selected lines, we found a clear over-representation of genes involved in immune functions, supporting the hypothesis of a life-shortening effect of an overactive immune system, known as inflammaging. We judged...

  16. Selective enrichment of STRs for applications in forensic human identification.

    Science.gov (United States)

    Gadipally, Sreeja R; Sarkar, Anujit; Nandineni, Madhusudan R

    2015-08-01

    Forensic human identification (HID) is currently based on determining repeat length polymorphisms located in short tandem repeat regions in the human genome. Despite the great progress made in the area of multiplex PCR-based approaches, limitations associated with challenging forensic samples such as DNA degradation, cooccurrence of inhabited microbial DNA and PCR inhibitors significantly affect the success rate of human DNA profiling. We have developed a sequence-specific pre-PCR STR enrichment method and evaluated its efficacy using DNA samples doped with various contaminants in view of its application on compromised forensic samples. This strategy has enabled us to generate complete and reproducible DNA profiles from samples doped with fivefold excess of nonhuman DNA and three to fourfold excess of various potent PCR inhibitors than that is claimed to be tolerated by some of the widely used commercial multiplex STR kits, from as little as two nanograms of degraded human DNA. The "hybrid capture"-based STR enrichment strategy described in this study is easily adaptable and offers a sensitive, efficient, and economical approach for successful human DNA profiling from compromised and recalcitrant forensic samples that are usually encountered in mass disaster incidents and missing persons' identifications. © 2015 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

  17. Is there a link between selectivity and binding thermodynamics profiles?

    Science.gov (United States)

    Tarcsay, Ákos; Keserű, György M

    2015-01-01

    Thermodynamics of ligand binding is influenced by the interplay between enthalpy and entropy contributions of the binding event. The impact of these binding free energy components, however, is not limited to the primary target only. Here, we investigate the relationship between binding thermodynamics and selectivity profiles by combining publicly available data from broad off-target assay profiling and the corresponding thermodynamics measurements. Our analysis indicates that compounds binding their primary targets with higher entropy contributions tend to hit more off-targets compared with those ligands that demonstrated enthalpy-driven binding. Copyright © 2014 Elsevier Ltd. All rights reserved.

  18. Circular RNA profile in gliomas revealed by identification tool UROBORUS

    Science.gov (United States)

    Song, Xiaofeng; Zhang, Naibo; Han, Ping; Moon, Byoung-San; Lai, Rose K.; Wang, Kai; Lu, Wange

    2016-01-01

    Recent evidence suggests that many endogenous circular RNAs (circRNAs) may play roles in biological processes. However, the expression patterns and functions of circRNAs in human diseases are not well understood. Computationally identifying circRNAs from total RNA-seq data is a primary step in studying their expression pattern and biological roles. In this work, we have developed a computational pipeline named UROBORUS to detect circRNAs in total RNA-seq data. By applying UROBORUS to RNA-seq data from 46 gliomas and normal brain samples, we detected thousands of circRNAs supported by at least two read counts, followed by successful experimental validation on 24 circRNAs from the randomly selected 27 circRNAs. UROBORUS is an efficient tool that can detect circRNAs with low expression levels in total RNA-seq without RNase R treatment. The circRNAs expression profiling revealed more than 476 circular RNAs differentially expressed in control brain tissues and gliomas. Together with parental gene expression, we found that circRNA and its parental gene have diversified expression patterns in gliomas and control brain tissues. This study establishes an efficient and sensitive approach for predicting circRNAs using total RNA-seq data. The UROBORUS pipeline can be accessed freely for non-commercial purposes at http://uroborus.openbioinformatics.org/. PMID:26873924

  19. Bayesian networks for victim identification on the basis of DNA profiles

    NARCIS (Netherlands)

    Bruijning-van Dongen, C. J.; Slooten, K.; Burgers, W.; Wiegerinck, W.

    We have developed software to improve screening and matching routine for victim identification based on DNA profiles. The software, called Napoleon/Bonaparte, uses Bayesian networks for the analysis. It is designed for effective handling of the identification process in case of a large disaster with

  20. Phytochemical profile of morphologically selected yerba-mate progenies

    Directory of Open Access Journals (Sweden)

    Alice Teresa Valduga

    2016-02-01

    Full Text Available ABSTRACT Yerba-mate (Ilex paraguariensis St. Hil is a native South American species. Plant progenies are populations that differ in terms of their productivity, morphology and phytochemical profile. This study aimed to determine the concentration of primary and secondary metabolites, such as antioxidants, in leaves, of yerba-mate progenies selected based on morphological characteristics. We evaluated the centesimal composition of secondary metabolites in the leaves of five yerba-mate plants. Methylxanthines and phenolic compounds were determined by UPLC-PDA, and antioxidant activity by measuring DPPH scavenging. Significant differences were found in centesimal composition and the contents of caffeine, theobromine, rutin and chlorogenic acid, as well as antioxidant activities, in selected progenies. The IC50 values were correlated with the chlorogenic acid levels (r2 = 0.5242 and soluble content (r2 = 0.7686. The morphological characteristics observed in yerba-mate leaves can be used as a tool for plant selection, to obtain matrices with different phytochemical profiles as a genetic material source.

  1. mRNA profiling for the identification of blood-Results of a collaborative EDNAP exercise

    DEFF Research Database (Denmark)

    Haas, Cordula; Hanson, E; Bär, W

    2010-01-01

    A collaborative exercise on mRNA profiling for the identification of blood was organized by the European DNA Profiling Group (EDNAP). Seven blood samples and one blood dilution series were analyzed by the participating laboratories for the reportedly blood-specific markers HBB, SPTB and PBGD, usi...

  2. mRNA profiling for the identification of blood--Results of a collaborative EDNAP exercise

    DEFF Research Database (Denmark)

    Haas, C.; Hanson, E.; Bär, W.

    2011-01-01

    A collaborative exercise on mRNA profiling for the identification of blood was organized by the European DNA Profiling Group (EDNAP). Seven blood samples and one blood dilution series were analyzed by the participating laboratories for the reportedly blood-specific markers HBB, SPTB and PBGD, usi...

  3. Multivariate Profiles of Selected versus Non-Selected Elite Youth Brazilian Soccer Players.

    Science.gov (United States)

    Aquino, Rodrigo; Alves, Isabella S; Padilha, Maickel B; Casanova, Filipe; Puggina, Enrico F; Maia, José

    2017-12-01

    This study determined whether a multivariate profile more effectively discriminated selected than non-selected elite youth Brazilian soccer players. This examination was carried out on 66 youth soccer players (selected, n = 28, mean age 16.3 ± 0.1; non-selected, n = 38, mean age 16.7 ± 0.4) using objective instruments. Multivariate profiles were assessed through anthropometric characteristics, biological maturation, tactical-technical skills, and motor performance. The Student's t-test identified that selected players exhibited significantly higher values for height (t = 2.331, p = 0.02), lean body mass (t = 2.441, p = 0.01), and maturity offset (t = 4.559, p tests (t = 2.454, p = 0.01). Forward stepwise discriminant function analysis showed that declarative tactical knowledge, running speed -30 m, maturity offset, dribbling, height, and peak power correctly classified 97% of the selected players. These findings may have implications for a highly efficient selection process with objective measures of youth players in soccer clubs.

  4. Multivariate Profiles of Selected Versus non-Selected Elite Youth Brazilian Soccer Players

    Directory of Open Access Journals (Sweden)

    Aquino Rodrigo

    2017-12-01

    Full Text Available This study determined whether a multivariate profile more effectively discriminated selected than non-selected elite youth Brazilian soccer players. This examination was carried out on 66 youth soccer players (selected, n = 28, mean age 16.3 ± 0.1; non-selected, n = 38, mean age 16.7 ± 0.4 using objective instruments. Multivariate profiles were assessed through anthropometric characteristics, biological maturation, tactical-technical skills, and motor performance. The Student’s t-test identified that selected players exhibited significantly higher values for height (t = 2.331, p = 0.02, lean body mass (t = 2.441, p = 0.01, and maturity offset (t = 4.559, p < 0.001, as well as performed better in declarative tactical knowledge (t = 10.484, p < 0.001, shooting (t = 2.188, p = 0.03, dribbling (t = 5.914, p < 0.001, speed – 30 m (t = 8.304, p < 0.001, countermovement jump (t = 2.718, p = 0.008, and peak power tests (t = 2.454, p = 0.01. Forward stepwise discriminant function analysis showed that declarative tactical knowledge, running speed –30 m, maturity offset, dribbling, height, and peak power correctly classified 97% of the selected players. These findings may have implications for a highly efficient selection process with objective measures of youth players in soccer clubs.

  5. Identification and Description of Novel Mood Profile Clusters

    Science.gov (United States)

    Parsons-Smith, Renée L.; Terry, Peter C.; Machin, M. Anthony

    2017-01-01

    Mood profiling has been a popular assessment strategy since the 1970s, although little evidence exists of distinct mood profiles beyond the realm of sport and exercise. In the present study, we investigated clusters of mood profiles derived from the six subscales of the Brunel Mood Scale using the In The Mood website. Mood responses in three samples (n = 2,364, n = 2,303, n = 1,865) were analyzed using agglomerative, hierarchical cluster analysis, which distinguished six distinct and theoretically meaningful profiles. K-means clustering further refined the final parameter solution. Mood profiles identified were termed the iceberg, inverse iceberg, inverse Everest, shark fin, surface, and submerged profiles. Simultaneous multiple discriminant function analysis showed that cluster membership was correctly classified with a high degree of accuracy. Chi-squared tests indicated that the six mood profiles were unequally distributed according to the gender, age, and education of participants. Future research should investigate the antecedents, correlates and consequences of these six mood profile clusters.

  6. Identification and Description of Novel Mood Profile Clusters

    Directory of Open Access Journals (Sweden)

    Renée L. Parsons-Smith

    2017-11-01

    Full Text Available Mood profiling has been a popular assessment strategy since the 1970s, although little evidence exists of distinct mood profiles beyond the realm of sport and exercise. In the present study, we investigated clusters of mood profiles derived from the six subscales of the Brunel Mood Scale using the In The Mood website. Mood responses in three samples (n = 2,364, n = 2,303, n = 1,865 were analyzed using agglomerative, hierarchical cluster analysis, which distinguished six distinct and theoretically meaningful profiles. K-means clustering further refined the final parameter solution. Mood profiles identified were termed the iceberg, inverse iceberg, inverse Everest, shark fin, surface, and submerged profiles. Simultaneous multiple discriminant function analysis showed that cluster membership was correctly classified with a high degree of accuracy. Chi-squared tests indicated that the six mood profiles were unequally distributed according to the gender, age, and education of participants. Future research should investigate the antecedents, correlates and consequences of these six mood profile clusters.

  7. Network-assisted target identification for haploinsufficiency and homozygous profiling screens

    Science.gov (United States)

    Wang, Sheng

    2017-01-01

    Chemical genomic screens have recently emerged as a systematic approach to drug discovery on a genome-wide scale. Drug target identification and elucidation of the mechanism of action (MoA) of hits from these noisy high-throughput screens remain difficult. Here, we present GIT (Genetic Interaction Network-Assisted Target Identification), a network analysis method for drug target identification in haploinsufficiency profiling (HIP) and homozygous profiling (HOP) screens. With the drug-induced phenotypic fitness defect of the deletion of a gene, GIT also incorporates the fitness defects of the gene’s neighbors in the genetic interaction network. On three genome-scale yeast chemical genomic screens, GIT substantially outperforms previous scoring methods on target identification on HIP and HOP assays, respectively. Finally, we showed that by combining HIP and HOP assays, GIT further boosts target identification and reveals potential drug’s mechanism of action. PMID:28574983

  8. Identification of a myometrial molecular profile for dystocic labor.

    LENUS (Irish Health Repository)

    Brennan, Donal J

    2011-01-01

    The most common indication for cesarean section (CS) in nulliparous women is dystocia secondary to ineffective myometrial contractility. The aim of this study was to identify a molecular profile in myometrium associated with dystocic labor.

  9. Identification of Recently Selected Mutations Driven by Artificial Selection in Hanwoo (Korean Cattle

    Directory of Open Access Journals (Sweden)

    Dajeong Lim

    2013-05-01

    Full Text Available Hanwoo have been subjected over the last seventy years to intensive artificial selection with the aim of improving meat production traits such as marbling and carcass weight. In this study, we performed a signature of selection analysis to identify recent positive selected regions driven by a long-term artificial selection process called a breeding program using whole genome SNP data. In order to investigate homozygous regions across the genome, we estimated iES (integrated Extended Haplotype Homozygosity SNP for the each SNPs. As a result, we identified two highly homozygous regions that seem to be strong and/or recent positive selection. Five genes (DPH5, OLFM3, S1PR1, LRRN1 and CRBN were included in this region. To go further in the interpretation of the observed signatures of selection, we subsequently concentrated on the annotation of differentiated genes defined according to the iES value of SNPs localized close or within them. We also described the detection of the adaptive evolution at the molecular level for the genes of interest. As a result, this analysis also led to the identification of OLFM3 as having a strong signal of selection in bovine lineage. The results of this study indicate that artificial selection which might have targeted most of these genes was mainly oriented towards improvement of meat production.

  10. Identification and derivatization of selected cathinones by spectroscopic studies.

    Science.gov (United States)

    Nycz, Jacek E; Pazdziorek, Tadeusz; Malecki, Grzegorz; Szala, Marcin

    2016-09-01

    In this study we identified three novel hydrochloride salts of cathinones 2-(pyrrolidin-1-yl)-1-(5,6,7,8-tetrahydronaphthalen-2-yl)pentan-1-one (1a) (TH-PVP), 2-(methylamino)-1-(2-methylphenyl)-1-propanone (1b) (2-MMC) and 1-(4-chlorophenyl)-2-(methylamino)propan-1-one (1c) (4-CMC). Their properties have been examined through combinations of GC-MS, IR, NMR, electronic absorption spectroscopy and single crystal X-ray diffraction method. NMR solution spectra showed readily diagnostic H-1 and C-13 signals from methyl, N-methyl and carbonyl groups. Additionally the use of thionation and amination reactions for identification of selected cathinones was presented. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

  11. Prospective identification of malaria parasite genes under balancing selection.

    Directory of Open Access Journals (Sweden)

    Kevin K A Tetteh

    Full Text Available Endemic human pathogens are subject to strong immune selection, and interrogation of pathogen genome variation for signatures of balancing selection can identify important target antigens. Several major antigen genes in the malaria parasite Plasmodium falciparum have shown such signatures in polymorphism-versus-divergence indices (comparing with the chimpanzee parasite P. reichenowi, and in allele frequency based indices.To compare methods for prospective identification of genes under balancing selection, 26 additional genes known or predicted to encode surface-exposed proteins of the invasive blood stage merozoite were first sequenced from a panel of 14 independent P. falciparum cultured lines and P. reichenowi. Six genes at the positive extremes of one or both of the Hudson-Kreitman-Aguade (HKA and McDonald-Kreitman (MK indices were identified. Allele frequency based analysis was then performed on a Gambian P. falciparum population sample for these six genes and three others as controls. Tajima's D (TjD index was most highly positive for the msp3/6-like PF10_0348 (TjD = 1.96 as well as the positive control ama1 antigen gene (TjD = 1.22. Across the genes there was a strong correlation between population TjD values and the relative HKA indices (whether derived from the population or the panel of cultured laboratory isolates, but no correlation with the MK indices.Although few individual parasite genes show significant evidence of balancing selection, analysis of population genomic and comparative sequence data with the HKA and TjD indices should discriminate those that do, and thereby identify likely targets of immunity.

  12. Isolation, identification and antimicrobial suscep- tibility profiles of ...

    African Journals Online (AJOL)

    The main objectives of the study were to isolate and identify. Salmonella from lactating cows, personnel's' and equipment at farms and to determine the in vitro antimicrobial resistance profiles of the isolates. A to- tal of 266 samples consisting of fresh cow milk, fecal sample, pooled milkers' hand swab, pooled bucket swab, ...

  13. Talent identification and selection process of outfield players and goalkeepers in a professional soccer club.

    Science.gov (United States)

    Gil, Susana María; Zabala-Lili, Jon; Bidaurrazaga-Letona, Iraia; Aduna, Badiola; Lekue, Jose Antonio; Santos-Concejero, Jordan; Granados, Cristina

    2014-12-01

    Abstract The aim of this study was to analyse the talent identification process of a professional soccer club. A preselection of players (n = 64) aged 9-10 years and a final selection (n = 21) were performed by the technical staff through the observation during training sessions and matches. Also, 34 age-matched players of an open soccer camp (CampP) acted as controls. All participants underwent anthropometric, maturity and performance measurements. Preselected outfield players (OFs) were older and leaner than CampP (P < 0.05). Besides, they performed better in velocity, agility, endurance and jump tests (P < 0.05). A discriminant analysis showed that velocity and agility were the most important parameters. Finally, selected OFs were older and displayed better agility and endurance compared to the nonselected OFs (P < 0.05). Goalkeepers (GKs) were taller and heavier and had more body fat than OFs; also, they performed worse in the physical tests (P < 0.05). Finally, selected GKs were older and taller, had a higher predicted height and advanced maturity and performed better in the handgrip (dynamometry) and jump tests (P < 0.05). Thus, the technical staff selected OFs with a particular anthropometry and best performance, particularly agility and endurance, while GKs had a different profile. Moreover, chronological age had an important role in the whole selection process.

  14. Messenger RNA profiling for forensic body fluid identification: research and applications.

    Science.gov (United States)

    Wang, Zheng; Zhang, Su-hua; Di, Zhou; Zhao, Shu-min; Li, Cheng-tao

    2013-10-01

    Identifying the origin of body fluids left at a crime scene can give a significant insight into crime scene reconstruction by supporting a link between sample donors and actual criminal acts. However, the conventional body fluid identification methods are prone to various limitations, such as time consumption, intensive labor, nonparallel manner, varying degrees of sensitivity and limited specificity. Recently, the analysis of cell-specific messenger RNA expression (mRNA profiling) has been proposed to supplant conventional methods for body fluid identification. Since 2011, the collaborative exercises have been organized by the European DNA Profiling Group (EDNAP) in order to evaluate the robustness and reproducibility of mRNA profiling for body fluid identification. The major advantages of mRNA profiling, compared to the conventional methods, include higher sensitivity, greater specificity, the ability of detecting several body fluids in one multiplex reaction, and compatibility with current DNA extraction and analysis procedure. In the current review, we provided an overview of the present knowledge and detection methodologies of mRNA profiling for forensic body fluid identification and discussed its possible practical application to forensic casework.

  15. Software Assisted Profiling of Dentition in Human Identification

    Directory of Open Access Journals (Sweden)

    Hina Mehrotra

    2018-01-01

    Full Text Available Forensic odontology is the integral part of forensic science that utilizes unique characteristics of human dentition. Dental remains withstand degradation bet­ter than other human remains. This study was aimed to determine the human identity by using the various predetermined parameters of dental morphology us­ing their digital smile photographs and confirming by means of Adobe Photoshop CC software. The study also aimed to compare and identify the most used pa­rameter of the dental morphology in the human iden­tification process.  This retrospective study was conducted in the Department of Oral & Maxillofacial Pathology, Mi­crobiology and Forensic Odontology, I.T.S Dental College Hospital & Research Centre, Greater Noida, UP, India. A sample of 50 subjects (25 males and 25 females aged between 20 and 40 years were included in the study. Two sequential techniques were followed. Dental casts and pictures were analyzed by 3 blind observers by comparison of dental traits and then were confirmed by superimposition using Adobe Photoshop CC. Positive identification was achieved by application of the 2 techniques. ICC Multiple Raters and ICC Two Raters were applied to analyze the stratum of agreement between the observers. By analyzing the parameters specified by three blind observers, the combination of Central and Lateral Incisor morphology was the most used parameter in the identification process. When the records are unavailable, dental comparison of postmortem findings with antemortem photographs of people displaying uncommon dental features visible in smiles taken from photographs may increase the probability of identification.  Keywords: Forensic Science, Forensic Odontology, Smile, Photograph, Antemortem, Postmortem.

  16. Pharmacopeial HPLC identification methods are not sufficient to detect adulterations in commercial bilberry (Vaccinium myrtillus) extracts. Anthocyanin profile provides additional clues.

    Science.gov (United States)

    Govindaraghavan, Suresh

    2014-12-01

    Current pharmacopeias provide HPLC anthocyanin profiles to identify commercial bilberry extracts. However, the pharmacopeial identification protocols may not be sufficient enough to distinguish genuine bilberry extracts from adulterated material. This is primarily due to the non-inclusion of literature-reported anthocyanin profile and compositional variations in bilberry when sourced from different geographical regions. Using anthocyanin profiles of both authentic bilberry extracts and literature reports, we attempted to provide appropriate identification protocol for genuine bilberry extracts. We compared HPLC anthocyanin profiles of selected 'suspected' adulterant species and adulterant-spiked bilberry extracts to decipher clues to infer adulteration. The clues include appearance of new anthocyanin peaks and changes in compositional ratios of anthocyanins. In addition, we attempted to provide likely adulterants based on 'economic motivation' and market place information and appropriate clues to identify them in adulterated commercial bilberry extracts. Copyright © 2014 Elsevier B.V. All rights reserved.

  17. Occupational Heat Stress Profiles in Selected Workplaces in India.

    Science.gov (United States)

    Venugopal, Vidhya; Chinnadurai, Jeremiah S; Lucas, Rebekah A I; Kjellstrom, Tord

    2015-12-29

    Health and productivity impacts from occupational heat stress have significant ramifications for the large workforce of India. This study profiled occupational heat stress impacts on the health and productivity of workers in select organized and unorganized Indian work sectors. During hotter and cooler seasons, Wet Bulb Globe Temperatures (WBGT) were used to quantify the risk of heat stress, according to International workplace guidelines. Questionnaires assessed workers' perceived health and productivity impacts from heat stress. A total of 442 workers from 18 Indian workplaces participated (22% and 78% from the organized and unorganized sector, respectively). Overall 82% and 42% of workers were exposed to higher than recommended WBGT during hotter and cooler periods, respectively. Workers with heavy workloads reported more heat-related health issues (chi square = 23.67, p ≤ 0.001) and reduced productivity (chi square = 15.82, p ≤ 0.001), especially the outdoor workers. Heat-rashes, dehydration, heat-syncope and urinogenital symptoms were self-reported health issues. Cited reasons for productivity losses were: extended-work hours due to fatigue/exhaustion, sickness/hospitalization and wages lost. Reducing workplace heat stress will benefit industries and workers via improving worker health and productivity. Adaptation and mitigation measures to tackle heat stress are imperative to protect the present and future workforce as climate change progresses.

  18. Occupational Heat Stress Profiles in Selected Workplaces in India

    Directory of Open Access Journals (Sweden)

    Vidhya Venugopal

    2015-12-01

    Full Text Available Health and productivity impacts from occupational heat stress have significant ramifications for the large workforce of India. This study profiled occupational heat stress impacts on the health and productivity of workers in select organized and unorganized Indian work sectors. During hotter and cooler seasons, Wet Bulb Globe Temperatures (WBGT were used to quantify the risk of heat stress, according to International workplace guidelines. Questionnaires assessed workers’ perceived health and productivity impacts from heat stress. A total of 442 workers from 18 Indian workplaces participated (22% and 78% from the organized and unorganized sector, respectively. Overall 82% and 42% of workers were exposed to higher than recommended WBGT during hotter and cooler periods, respectively. Workers with heavy workloads reported more heat-related health issues (chi square = 23.67, p ≤ 0.001 and reduced productivity (chi square = 15.82, p ≤ 0.001, especially the outdoor workers. Heat-rashes, dehydration, heat-syncope and urinogenital symptoms were self-reported health issues. Cited reasons for productivity losses were: extended-work hours due to fatigue/exhaustion, sickness/hospitalization and wages lost. Reducing workplace heat stress will benefit industries and workers via improving worker health and productivity. Adaptation and mitigation measures to tackle heat stress are imperative to protect the present and future workforce as climate change progresses.

  19. MALDI-TOF MS Profiling-Advances in Species Identification of Pests, Parasites, and Vectors

    Directory of Open Access Journals (Sweden)

    Jayaseelan Murugaiyan

    2017-05-01

    Full Text Available Invertebrate pests and parasites of humans, animals, and plants continue to cause serious diseases and remain as a high treat to agricultural productivity and storage. The rapid and accurate species identification of the pests and parasites are needed for understanding epidemiology, monitoring outbreaks, and designing control measures. Matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS profiling has emerged as a rapid, cost effective, and high throughput technique of microbial species identification in modern diagnostic laboratories. The development of soft ionization techniques and the release of commercial pattern matching software platforms has resulted in the exponential growth of applications in higher organisms including parasitology. The present review discusses the proof-of-principle experiments and various methods of MALDI MS profiling in rapid species identification of both laboratory and field isolates of pests, parasites and vectors.

  20. Identification and Characterization of Adolescent Internet User's Profiles.

    Science.gov (United States)

    Rial, Antonio; Gómez, Patricia; Picón, Eduardo; Braña, Teresa; Varela, Jesús

    2015-07-14

    The percentages of adolescent Internet use in general terms have been measured for nearly two decades now; however, it might be thought that not every teenager behaves online in the same way. This study aims to identify the different types or profiles of adolescents and to characterize them from an attitudinal, behavioral and socio-demographic viewpoint. A questionnaire was applied to a representative sample of 2,339 Compulsory Secondary School students (M = 13.77 years old) from Galicia (a North-Western region of Spain) for this purpose. A two-stage cluster analysis, based on the response pattern in relation to their attitudes toward Internet, was carried out. Four different segments with specific characteristics were identified: the first steppers, the trainees, the sensible users, and the heavy users. Besides the relevance of descriptive data, these results are of particular interest at an applied level, because they could lead to a better fit of programs to prevent risky behaviors and problematic Internet use in adolescents.

  1. Identification of a myometrial molecular profile for dystocic labor

    Directory of Open Access Journals (Sweden)

    O'Connor Darran P

    2011-10-01

    Full Text Available Abstract Background The most common indication for cesarean section (CS in nulliparous women is dystocia secondary to ineffective myometrial contractility. The aim of this study was to identify a molecular profile in myometrium associated with dystocic labor. Methods Myometrial biopsies were obtained from the upper incisional margins of nulliparous women undergoing lower segment CS for dystocia (n = 4 and control women undergoing CS in the second stage who had demonstrated efficient uterine action during the first stage of labor (n = 4. All patients were in spontaneous (non-induced labor and had received intrapartum oxytocin to accelerate labor. RNA was extracted from biopsies and hybridized to Affymetrix HuGene U133A Plus 2 microarrays. Internal validation was performed using quantitative SYBR Green Real-Time PCR. Results Seventy genes were differentially expressed between the two groups. 58 genes were down-regulated in the dystocia group. Gene ontology analysis revealed 12 of the 58 down-regulated genes were involved in the immune response. These included (ERAP2, (8.67 fold change (FC HLA-DQB1 (7.88 FC CD28 (2.60 FC, LILRA3 (2.87 FC and TGFBR3 (2.1 FC Hierarchical clustering demonstrated a difference in global gene expression patterns between the samples from dystocic and non-dystocic labours. RT-PCR validation was performed on 4 genes ERAP2, CD28, LILRA3 and TGFBR3 Conclusion These findings suggest an underlying molecular basis for dystocia in nulliparous women in spontaneous labor. Differentially expressed genes suggest an important role for the immune response in dystocic labor and may provide important indicators for new diagnostic assays and potential intrapartum therapeutic targets.

  2. Identification of a Myometrial Molecular Profile for Dystocic Labor

    LENUS (Irish Health Repository)

    Brennan, Donal J

    2011-10-16

    Abstract Background The most common indication for cesarean section (CS) in nulliparous women is dystocia secondary to ineffective myometrial contractility. The aim of this study was to identify a molecular profile in myometrium associated with dystocic labor. Methods Myometrial biopsies were obtained from the upper incisional margins of nulliparous women undergoing lower segment CS for dystocia (n = 4) and control women undergoing CS in the second stage who had demonstrated efficient uterine action during the first stage of labor (n = 4). All patients were in spontaneous (non-induced) labor and had received intrapartum oxytocin to accelerate labor. RNA was extracted from biopsies and hybridized to Affymetrix HuGene U133A Plus 2 microarrays. Internal validation was performed using quantitative SYBR Green Real-Time PCR. Results Seventy genes were differentially expressed between the two groups. 58 genes were down-regulated in the dystocia group. Gene ontology analysis revealed 12 of the 58 down-regulated genes were involved in the immune response. These included (ERAP2, (8.67 fold change (FC)) HLA-DQB1 (7.88 FC) CD28 (2.60 FC), LILRA3 (2.87 FC) and TGFBR3 (2.1 FC)) Hierarchical clustering demonstrated a difference in global gene expression patterns between the samples from dystocic and non-dystocic labours. RT-PCR validation was performed on 4 genes ERAP2, CD28, LILRA3 and TGFBR3 Conclusion These findings suggest an underlying molecular basis for dystocia in nulliparous women in spontaneous labor. Differentially expressed genes suggest an important role for the immune response in dystocic labor and may provide important indicators for new diagnostic assays and potential intrapartum therapeutic targets.

  3. Stratigraphic Profiles for Selected Hanford Site Seismometer Stations and Other Locations

    Energy Technology Data Exchange (ETDEWEB)

    Last, George V. [Pacific Northwest National Lab. (PNNL), Richland, WA (United States)

    2014-02-01

    Stratigraphic profiles were constructed for eight selected Hanford Site seismometer stations, five Hanford Site facility reference locations, and seven regional three-component broadband seismometer stations. These profiles provide interpretations of the subsurface layers to support estimation of ground motions from past earthquakes, and the prediction of ground motions from future earthquakes. In most cases these profiles terminated at the top of the Wanapum Basalt, but at selected sites profiles were extended down to the top of the crystalline basement. The composite one-dimensional stratigraphic profiles were based primarily on previous interpretations from nearby boreholes, and in many cases the nearest deep borehole is located kilometers away.

  4. Profile of disability in selected districts in Rwanda

    African Journals Online (AJOL)

    ADMIN

    provide services to allow people with disabilities to take part in community life. There is however a lack of reliable data on disability in the districts of Rwanda. This study aims to describe the profile of disability in ... complexity of data collection related to disability (UNICEF,. 2011). Despite the magnitude of the issue, both ...

  5. Molecular identification and genotyping of Microsporidia in selected hosts

    Czech Academy of Sciences Publication Activity Database

    Valenčáková, A.; Balent, P.; Ravaszová, P.; Horák, Aleš; Oborník, Miroslav; Halanová, M.; Malčeková, B.; Novotný, F.; Goldová, M.

    2012-01-01

    Roč. 110, č. 2 (2012), s. 689-693 ISSN 0932-0113 Institutional research plan: CEZ:AV0Z60220518 Keywords : ENCEPHALITOZOON-CUNICULI * RIBOSOMAL-RNA * SPECIES IDENTIFICATION * AIDS PATIENTS * PET RABBITS Subject RIV: EB - Genetics ; Molecular Biology Impact factor: 2.852, year: 2012

  6. Identification of pediatric septic shock subclasses based on genome-wide expression profiling

    Directory of Open Access Journals (Sweden)

    Monaco Marie

    2009-07-01

    Full Text Available Abstract Background Septic shock is a heterogeneous syndrome within which probably exist several biological subclasses. Discovery and identification of septic shock subclasses could provide the foundation for the design of more specifically targeted therapies. Herein we tested the hypothesis that pediatric septic shock subclasses can be discovered through genome-wide expression profiling. Methods Genome-wide expression profiling was conducted using whole blood-derived RNA from 98 children with septic shock, followed by a series of bioinformatic approaches targeted at subclass discovery and characterization. Results Three putative subclasses (subclasses A, B, and C were initially identified based on an empiric, discovery-oriented expression filter and unsupervised hierarchical clustering. Statistical comparison of the three putative subclasses (analysis of variance, Bonferonni correction, P Conclusion Genome-wide expression profiling can identify pediatric septic shock subclasses having clinically relevant phenotypes.

  7. Genome-wide mRNA profiling and multiplex quantitative RT-PCR for forensic body fluid identification.

    Science.gov (United States)

    Park, Seong-Min; Park, Seong-Yeon; Kim, Jeong-Hwan; Kang, Tae-Wook; Park, Jong-Lyul; Woo, Kwang-Man; Kim, Jong-Sik; Lee, Han-Chul; Kim, Seon-Young; Lee, Seung-Hwan

    2013-01-01

    In forensic science, identifying a tissue where a forensic specimen was originated is one of the principal challenges. Messenger RNA (mRNA) profile clearly reveals tissue-specific gene expression patterns that many attempts have been made to use RNA for forensic tissue identification. To systematically investigate the body-fluid-specific expression of mRNAs and find novel mRNA markers for forensic body fluid identification, we performed DNA microarray experiment with 24 Korean body fluid samples. Shannon entropy and Q-values were calculated for each gene, and 137 body-fluid-specific candidate genes were selected. By applying more stringent criteria, we further selected 28 candidate genes and validated them by RT-PCR and qRT-PCR. As a result, we suggest a novel combination of four body-fluid-specific mRNA makers: PPBP for blood, FDCSP for saliva, MSMB for semen and MSLN for vaginal secretion. Multiplex qRT-PCR assay was designed using the four mRNA markers and DNA/RNA co-extraction method was tested for forensic use. This study will provide a thorough examination of body-fluid-specifically expressed mRNAs, which will enlarge the possibility of practical use of RNA for forensic purpose. Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.

  8. Electrocardiogram Based Identification using a New Effective Intelligent Selection of Fused Features.

    Science.gov (United States)

    Abbaspour, Hamidreza; Razavi, Seyyed Mohammad; Mehrshad, Nasser

    2015-01-01

    Over the years, the feasibility of using Electrocardiogram (ECG) signal for human identification issue has been investigated, and some methods have been suggested. In this research, a new effective intelligent feature selection method from ECG signals has been proposed. This method is developed in such a way that it is able to select important features that are necessary for identification using analysis of the ECG signals. For this purpose, after ECG signal preprocessing, its characterizing features were extracted and then compressed using the cosine transform. The more effective features in the identification, among the characterizing features, are selected using a combination of the genetic algorithm and artificial neural networks. The proposed method was tested on three public ECG databases, namely, MIT-BIH Arrhythmias Database, MITBIH Normal Sinus Rhythm Database and The European ST-T Database, in order to evaluate the proposed subject identification method on normal ECG signals as well as ECG signals with arrhythmias. Identification rates of 99.89% and 99.84% and 99.99% are obtained for these databases respectively. The proposed algorithm exhibits remarkable identification accuracies not only with normal ECG signals, but also in the presence of various arrhythmias. Simulation results showed that the proposed method despite the low number of selected features has a high performance in identification task.

  9. Meaning identification and meaning selection for general language monolingual dictionaries

    DEFF Research Database (Denmark)

    Bergenholtz, Henning; Agerbo, Heidi

    2014-01-01

    to references in the world (in this contribution called things), followed by a formulation of the identified meaning items which can be used for reception situations. Not always – as in the case of lemma selection – will all the identified meaning items be included in the dictionary. The selection of identified...

  10. Identification of (R)-selective ω-aminotransferases by exploring evolutionary sequence space.

    Science.gov (United States)

    Kim, Eun-Mi; Park, Joon Ho; Kim, Byung-Gee; Seo, Joo-Hyun

    2018-03-01

    Several (R)-selective ω-aminotransferases (R-ωATs) have been reported. The existence of additional R-ωATs having different sequence characteristics from previous ones is highly expected. In addition, it is generally accepted that R-ωATs are variants of aminotransferase group III. Based on these backgrounds, sequences in RefSeq database were scored using family profiles of branched-chain amino acid aminotransferase (BCAT) and d-alanine aminotransferase (DAT) to predict and identify putative R-ωATs. Sequences with two profile analysis scores were plotted on two-dimensional score space. Candidates with relatively similar scores in both BCAT and DAT profiles (i.e., profile analysis score using BCAT profile was similar to profile analysis score using DAT profile) were selected. Experimental results for selected candidates showed that putative R-ωATs from Saccharopolyspora erythraea (R-ωAT_Sery), Bacillus cellulosilyticus (R-ωAT_Bcel), and Bacillus thuringiensis (R-ωAT_Bthu) had R-ωAT activity. Additional experiments revealed that R-ωAT_Sery also possessed DAT activity while R-ωAT_Bcel and R-ωAT_Bthu had BCAT activity. Selecting putative R-ωATs from regions with similar profile analysis scores identified potential R-ωATs. Therefore, R-ωATs could be efficiently identified by using simple family profile analysis and exploring evolutionary sequence space. Copyright © 2017 Elsevier Inc. All rights reserved.

  11. Rapid and inexpensive body fluid identification by RNA profiling-based multiplex High Resolution Melt (HRM) analysis

    OpenAIRE

    Erin K. Hanson; Jack Ballantyne

    2014-01-01

    Positive identification of the nature of biological material present on evidentiary items can be crucial for understanding the circumstances surrounding a crime. However, traditional protein-based methods do not permit the identification of all body fluids and tissues, and thus molecular based strategies for the conclusive identification of all forensically relevant biological fluids and tissues need to be developed. Messenger RNA (mRNA) profiling is an example of such a molecular-based appro...

  12. Carbohydrate Analogue Microarrays for Identification of Lectin-Selective Ligands.

    Science.gov (United States)

    Hyun, Ji Young; Park, Cheol Wan; Liu, Yanna; Kwon, Daeun; Park, Seong-Hyun; Park, Sungjin; Pai, Jaeyoung; Shin, Injae

    2017-06-19

    Fifty-five mono- and disaccharide analogues were prepared and used for the construction of microarrays to uncover lectin-selective ligands. The microarray study showed that two disaccharide analogues, 28' and 44', selectively bind to Solanum tuberosum lectin (STL) and wheat germ agglutinin (WGA), respectively. Cell studies indicated that 28' and 44' selectively block the binding of STL and WGA to mammalian cells, unlike the natural ligand LacNAc, which suppresses binding of both STL and WGA to cells. © 2017 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim.

  13. Factors Affecting Species Identifications of Blow Fly Pupae Based upon Chemical Profiles and Multivariate Statistics.

    Science.gov (United States)

    Kranz, William; Carroll, Clinton; Dixon, Darren A; Goodpaster, John V; Picard, Christine J

    2017-04-11

    Alternative methods for the identification of species of blow fly pupae have been developed over the years that consist of the analyses of chemical profiles. However, the effect of biotic and abiotic factors that could influence the predictive manner for the tests have not been evaluated. The lipids of blowfly pupae ( Cochliomyia macellaria , Lucilia cuprina , Lucilia sericata , and Phormia regina ) were extracted in pentane, derivatized, and analyzed by total-vaporization solid phase microextraction gas chromatography-mass spectrometry (TV-SPME GC-MS). Peak areas for 26 compounds were analyzed. Here we evaluated one biotic factor (colonization) on four species of blow flies to determine how well a model produced from lipid profiles of colonized flies predicted the species of flies of offspring of wild-caught flies and found very good species identification following 10 generations of inbreeding. When we evaluated four abiotic factors in our fly rearing protocols (temperature, humidity, pupation substrate, and diet), we found that the ability to assign the chemical profile to the correct species was greatly reduced.

  14. Profile of disability in selected districts in Rwanda | Urimubenshi ...

    African Journals Online (AJOL)

    A door-to-door survey was conducted in all the households in villages from three districts selected through a multi-stage sampling procedure. Identified persons were assessed for activity limitations using instruments developed from domains in the International Classification of Functioning, Disability and Health (ICF).

  15. Profile of disability in selected districts in Rwanda | Urimubenshi ...

    African Journals Online (AJOL)

    The PDF file you selected should load here if your Web browser has a PDF reader plug-in installed (for example, a recent version of Adobe Acrobat Reader). If you would like more information about how to print, save, and work with PDFs, Highwire Press provides a helpful Frequently Asked Questions about PDFs.

  16. Health Effects Profiles for Searching Selected Lockheed DIALOG Data Bases.

    Science.gov (United States)

    Clement, Linda Lee

    This preliminary study attempted to determine the most effective search strategies for the topic "health effects" in relation to specific chemicals and/or pollutants--in this case, asbestos--for each of five selected Lockheed DIALOG data bases: BIOSIS Previews, Chemical Abstracts Condensates (Chemcon), NTIS, Enviroline, and Pollution…

  17. Identification of Biomarkers for Esophageal Squamous Cell Carcinoma Using Feature Selection and Decision Tree Methods

    Directory of Open Access Journals (Sweden)

    Chun-Wei Tung

    2013-01-01

    Full Text Available Esophageal squamous cell cancer (ESCC is one of the most common fatal human cancers. The identification of biomarkers for early detection could be a promising strategy to decrease mortality. Previous studies utilized microarray techniques to identify more than one hundred genes; however, it is desirable to identify a small set of biomarkers for clinical use. This study proposes a sequential forward feature selection algorithm to design decision tree models for discriminating ESCC from normal tissues. Two potential biomarkers of RUVBL1 and CNIH were identified and validated based on two public available microarray datasets. To test the discrimination ability of the two biomarkers, 17 pairs of expression profiles of ESCC and normal tissues from Taiwanese male patients were measured by using microarray techniques. The classification accuracies of the two biomarkers in all three datasets were higher than 90%. Interpretable decision tree models were constructed to analyze expression patterns of the two biomarkers. RUVBL1 was consistently overexpressed in all three datasets, although we found inconsistent CNIH expression possibly affected by the diverse major risk factors for ESCC across different areas.

  18. Selection, isolation, and identification of fungi for bioherbicide production

    OpenAIRE

    Souza, Ang?lica Rossana Castro de; Baldoni, Daiana Bortoluzzi; Lima, Jessica; Porto, Vit?ria; Marcuz, Camila; Machado, Carolina; Ferraz, Rafael Camargo; Kuhn, Raquel C.; Jacques, Rodrigo J.S.; Guedes, Jerson V.C.; Mazutti, Marcio A.

    2016-01-01

    Abstract Production of a bioherbicide for biological control of weeds requires a series of steps, from selection of a suitable microbial strain to final formulation. Thus, this study aimed to select fungi for production of secondary metabolites with herbicidal activity using biological resources of the Brazilian Pampa biome. Phytopathogenic fungi were isolated from infected tissues of weeds in the Pampa biome. A liquid synthetic culture medium was used for production of metabolites. The phyto...

  19. DYNAMIC FEATURE SELECTION FOR WEB USER IDENTIFICATION ON LINGUISTIC AND STYLISTIC FEATURES OF ONLINE TEXTS

    Directory of Open Access Journals (Sweden)

    A. A. Vorobeva

    2017-01-01

    Full Text Available The paper deals with identification and authentication of web users participating in the Internet information processes (based on features of online texts.In digital forensics web user identification based on various linguistic features can be used to discover identity of individuals, criminals or terrorists using the Internet to commit cybercrimes. Internet could be used as a tool in different types of cybercrimes (fraud and identity theft, harassment and anonymous threats, terrorist or extremist statements, distribution of illegal content and information warfare. Linguistic identification of web users is a kind of biometric identification, it can be used to narrow down the suspects, identify a criminal and prosecute him. Feature set includes various linguistic and stylistic features extracted from online texts. We propose dynamic feature selection for each web user identification task. Selection is based on calculating Manhattan distance to k-nearest neighbors (Relief-f algorithm. This approach improves the identification accuracy and minimizes the number of features. Experiments were carried out on several datasets with different level of class imbalance. Experiment results showed that features relevance varies in different set of web users (probable authors of some text; features selection for each set of web users improves identification accuracy by 4% at the average that is approximately 1% higher than with the use of static set of features. The proposed approach is most effective for a small number of training samples (messages per user.

  20. Identification of selective inhibitors of RET and comparison with current clinical candidates through development and validation of a robust screening cascade [version 2; referees: 4 approved

    Directory of Open Access Journals (Sweden)

    Amanda J. Watson

    2016-08-01

    Full Text Available RET (REarranged during Transfection is a receptor tyrosine kinase, which plays pivotal roles in regulating cell survival, differentiation, proliferation, migration and chemotaxis. Activation of RET is a mechanism of oncogenesis in medullary thyroid carcinomas where both germline and sporadic activating somatic mutations are prevalent.   At present, there are no known specific RET inhibitors in clinical development, although many potent inhibitors of RET have been opportunistically identified through selectivity profiling of compounds initially designed to target other tyrosine kinases. Vandetanib and cabozantinib, both multi-kinase inhibitors with RET activity, are approved for use in medullary thyroid carcinoma, but additional pharmacological activities, most notably inhibition of vascular endothelial growth factor - VEGFR2 (KDR, lead to dose-limiting toxicity. The recent identification of RET fusions present in ~1% of lung adenocarcinoma patients has renewed interest in the identification and development of more selective RET inhibitors lacking the toxicities associated with the current treatments.   In an earlier publication [Newton et al, 2016; 1] we reported the discovery of a series of 2-substituted phenol quinazolines as potent and selective RET kinase inhibitors. Here we describe the development of the robust screening cascade which allowed the identification and advancement of this chemical series.  Furthermore we have profiled a panel of RET-active clinical compounds both to validate the cascade and to confirm that none display a RET-selective target profile.

  1. Identification of selective inhibitors of RET and comparison with current clinical candidates through development and validation of a robust screening cascade [version 1; referees: 2 approved

    Directory of Open Access Journals (Sweden)

    Amanda J. Watson

    2016-05-01

    Full Text Available RET (REarranged during Transfection is a receptor tyrosine kinase, which plays pivotal roles in regulating cell survival, differentiation, proliferation, migration and chemotaxis. Activation of RET is a mechanism of oncogenesis in medullary thyroid carcinomas where both germline and sporadic activating somatic mutations are prevalent.   At present, there are no known specific RET inhibitors in clinical development, although many potent inhibitors of RET have been opportunistically identified through selectivity profiling of compounds initially designed to target other tyrosine kinases. Vandetanib and cabozantinib, both multi-kinase inhibitors with RET activity, are approved for use in medullary thyroid carcinoma, but additional pharmacological activities, most notably inhibition of vascular endothelial growth factor - VEGFR2 (KDR, lead to dose-limiting toxicity. The recent identification of RET fusions present in ~1% of lung adenocarcinoma patients has renewed interest in the identification and development of more selective RET inhibitors lacking the toxicities associated with the current treatments.   In an earlier publication [Newton et al, 2016; 1] we reported the discovery of a series of 2-substituted phenol quinazolines as potent and selective RET kinase inhibitors. Here we describe the development of the robust screening cascade which allowed the identification and advancement of this chemical series.  Furthermore we have profiled a panel of RET-active clinical compounds both to validate the cascade and to confirm that none display a RET-selective target profile.

  2. [Plasmid profile analysis in identification of epidemic strains of Salmonella enterica serovar Enteritidis].

    Science.gov (United States)

    Miljković-Selimović, Biljana; Lepsanović, Zorica; Babić, Tatjana; Kocić, Branislava; Randelović, Gordana

    2008-04-01

    As illness caused by Sallmonella enterica serovar Enteritidis (S. Enteritidis) occurs not only as sporadic cases but as outbreaks, to reveal the source and routes of spreading of infection it is necessary to identify epidemic strain by the use of some typing methods. To determine whether plasmid profile analysis, as genotyping method, could be applied for the investigation of epidemic strains, isolates of S. Enteritidis, recovered from patient's stools and food associated with outbreaks and those isolated from sporadic cases of diarrhea, were investigated. Investigation of antibiotic resistance was performed by Kirby-Bauer disc-diffusion method. Isolation of plasmid DNA was carried out by Birnboim and Dolly alkaline lysis method, modified by Ish-Horovitz. Out of 276 izolates of S. Enteritidis 94 were isolated from patient's stools and food associated with outbreaks and 182 were isolated from sporadic cases of diarrhea. The presence of 12 plasmid profiles was established. An average correlation degree of plasmid profiles between the strains was 0.84, that implies high degree of similarity of plasmid profiles of epidemic and non epidemic strains isolated at our geographic region for the given period of time. The strains of S. Enteritidis, isolated in outbreaks of enterocolitis as well as from spordic cases of diarrhea in the same period of time and at the same area, frequently exhibit the same plasmid profile characterized by a single plasmid of 38 MDa. Therefore, in most cases plasmid profile analysis is not valuable in the identification of epidemic strains of S. Enteritidis. However, for this purpose plasmid profile analysis could be used when drug-resistant strains of S. Enteritidis are isolated, as they often possess additional resistant plasmids what increases discrimination power of this method.

  3. Plasmid profile analysis in identification of epidemic strains of Salmonella enterica serovar Enteritidis

    Directory of Open Access Journals (Sweden)

    Miljković-Selimović Biljana

    2008-01-01

    Full Text Available Background/Aim. As illness caused by Sallmonella enterica serovar Enteritidis (S. Enteritidis occurs not only as sporadic cases but as outbreaks, to reveal the source and routes of spreading of infection it is necessary to identify epidemic strain by the use of some typing methods. To determine whether plasmid profile analysis, as genotyping method, could be applied for the investigation of epidemic strains, isolates of S. Enteritidis, recovered from patient's stools and food associated with outbreaks and those isolated from sporadic cases of diarrhea, were investigated. Methods. Investigation of antibiotic resistance was performed by Kirby - Bauer disc-diffusion method. Isolation of plasmid DNA was carried out by Birnboim and Dolly alkaline lysis method, modified by Ish-Horovitz. Results. Out of 276 izolates of S. Enteritidis 94 were isolated from patient's stools and food associated with outbreaks and 182 were isolated from sporadic cases of diarrhea. The presence of 12 plasmid profiles was established. An average correlation degree of plasmid profiles between the strains was 0.84, that implies high degree of similarity of plasmid profiles of epidemic and non- epidemic strains isolated at our geographic region for the given period of time. Conclusion. The strains of S. Enteritidis, isolated in outbreaks of enterocolitis as well as from spordic cases of diarrhea in the same period of time and at the same area, frequently exhibit the same plasmid profile characterized by a single plasmid of 38 MDa. Therefore, in most cases plasmid profile analysis is not valuable in the identification of epidemic strains of S. Enteritidis. However, for this purpose plasmid profile analysis could be used when drug-resistant strains of S. Enteritidis are isolated, as they often possess additional resistant plasmids what increases discrimination power of this method.

  4. Metabolomic Profiling for Identification of Novel Potential Biomarkers in Cardiovascular Diseases

    Directory of Open Access Journals (Sweden)

    Maria G. Barderas

    2011-01-01

    Full Text Available Metabolomics involves the identification and quantification of metabolites present in a biological system. Three different approaches can be used: metabolomic fingerprinting, metabolic profiling, and metabolic footprinting, in order to evaluate the clinical course of a disease, patient recovery, changes in response to surgical intervention or pharmacological treatment, as well as other associated features. Characteristic patterns of metabolites can be revealed that broaden our understanding of a particular disorder. In the present paper, common strategies and analytical techniques used in metabolomic studies are reviewed, particularly with reference to the cardiovascular field.

  5. Selection and taxonomic identification of carotenoid-producing marine actinomycetes.

    Science.gov (United States)

    Romero, Francisco; Fernández-Chimeno, Rosa Isabel; de la Fuente, Juan Luis; Barredo, José-Luis

    2012-01-01

    Carotenoids are important pigments produced by plants and many microorganisms, including fungi, microalgae, cyanobacteria, and bacteria. Marine actinomycetes are a group of bacteria that produce a variety of metabolites with economic potential. Here, we describe a general method of selecting marine actinomycetes as carotenoids' producers. The screening is carried out at two levels: the first one involves a quick selection of strains by visual color inspection, and the second consists in the analysis of the extracts by HPLC. The taxonomic analysis of the producing strains gives us an overview of the groups of actinomycetes in which carotenoids can be found.

  6. A psychological profile of women selected for augmentation mammaplasty.

    Science.gov (United States)

    Schlebusch, L; Levin, A

    1983-09-24

    Augmentation mammaplasty (AM) is a cosmetic surgical procedure increasingly being sought by women preoccupied with the size of their breasts. There is a divergence of opinion as to the reasons for and the morbidity associated with this. The present study attempts to clarify the reasons for requests for AM and to determine the presence of psychopathology in patients selected for this procedure compared with hospital controls. It was found that these patients generally experienced low self-esteem, depression, self-consciousness and anxiety, and had a poor body-image and psychosexual problems. AM was often sought to alleviate marital, psychosexual and interpersonal problems.

  7. Identification of contributing factors to pedestrian overpass selection

    Directory of Open Access Journals (Sweden)

    Yao Wu

    2014-12-01

    Full Text Available In order to improve the efficiency of overpass and the safety level of pedestrian, this paper aims to investigate the contributing factors for selective preference of overpass. Eight overpasses were investigated in Xi’an, and a questionnaire was conducted by the pedestrians near the overpass. Totally, 1131 valid samples (873 used of overpasses and 258 non-used of overpasses were collected. Based on the data, a binary logit (BL model was developed to identify what and how the factors affect the selective preference of overpass. The BL model was calibrated by the maximum likelihood method. Likelihood ratio test and McFadden-R2 were used to analyze the goodness-of-fit of the model. The results show that the BL model has a reasonable goodness-of-fit, and the prediction accuracy of the BL model can reach 81.9%. The BL model showed that the selective preference of overpass was significantly influenced by eight factors, including gender, age, career, education level, license, detour wishes, detour distance, and crossing time. Besides, the odds ratios of significant factors were also analyzed to explain the impacts of the factors on selective preference of overpass.

  8. Identification of QTLs and impact of selection from various ...

    African Journals Online (AJOL)

    Severe drought on cotton plants can slow plant development and cause small bolls and squares to shed. Establishment and prebloom irrigations affect total yield, but water deprivation following bloom and into boll development also affects lint quality. The impact of selection from various environments (dry vs irrigated) on ...

  9. Selection, isolation, and identification of fungi for bioherbicide production

    Directory of Open Access Journals (Sweden)

    Angélica Rossana Castro de Souza

    Full Text Available Abstract Production of a bioherbicide for biological control of weeds requires a series of steps, from selection of a suitable microbial strain to final formulation. Thus, this study aimed to select fungi for production of secondary metabolites with herbicidal activity using biological resources of the Brazilian Pampa biome. Phytopathogenic fungi were isolated from infected tissues of weeds in the Pampa biome. A liquid synthetic culture medium was used for production of metabolites. The phytotoxicity of fungal metabolites was assessed via biological tests using the plant Cucumis sativus L., and the most promising strain was identified by molecular analysis. Thirty-nine fungi were isolated, and 28 presented some phytotoxic symptoms against the target plant. Fungus VP51 belonging to the genus Diaporthe showed the most pronounced herbicidal activity. The Brazilian Pampa biome is a potential resource for the development of new and sustainable chemical compounds for modern agriculture.

  10. Selection, isolation, and identification of fungi for bioherbicide production.

    Science.gov (United States)

    Souza, Angélica Rossana Castro de; Baldoni, Daiana Bortoluzzi; Lima, Jessica; Porto, Vitória; Marcuz, Camila; Machado, Carolina; Ferraz, Rafael Camargo; Kuhn, Raquel C; Jacques, Rodrigo J S; Guedes, Jerson V C; Mazutti, Marcio A

    Production of a bioherbicide for biological control of weeds requires a series of steps, from selection of a suitable microbial strain to final formulation. Thus, this study aimed to select fungi for production of secondary metabolites with herbicidal activity using biological resources of the Brazilian Pampa biome. Phytopathogenic fungi were isolated from infected tissues of weeds in the Pampa biome. A liquid synthetic culture medium was used for production of metabolites. The phytotoxicity of fungal metabolites was assessed via biological tests using the plant Cucumis sativus L., and the most promising strain was identified by molecular analysis. Thirty-nine fungi were isolated, and 28 presented some phytotoxic symptoms against the target plant. Fungus VP51 belonging to the genus Diaporthe showed the most pronounced herbicidal activity. The Brazilian Pampa biome is a potential resource for the development of new and sustainable chemical compounds for modern agriculture. Copyright © 2016 Sociedade Brasileira de Microbiologia. Published by Elsevier Editora Ltda. All rights reserved.

  11. Hexapeptide libraries for enhanced protein PTM identification and relative abundance profiling in whole human saliva.

    Science.gov (United States)

    Bandhakavi, Sricharan; Van Riper, Susan K; Tawfik, Pierre N; Stone, Matthew D; Haddad, Tufia; Rhodus, Nelson L; Carlis, John V; Griffin, Timothy J

    2011-03-04

    Dynamic range compression (DRC) by hexapeptide libraries increases MS/MS-based identification of lower-abundance proteins in complex mixtures. However, two unanswered questions impede fully realizing DRC's potential in shotgun proteomics. First, does DRC enhance identification of post-translationally modified proteins? Second, can DRC be incorporated into a workflow enabling relative protein abundance profiling? We sought to answer both questions analyzing human whole saliva. Addressing question one, we coupled DRC with covalent glycopeptide enrichment and MS/MS. With DRC we identified ∼2 times more N-linked glycoproteins and their glycosylation sites than without DRC, dramatically increasing the known salivary glycoprotein catalog. Addressing question two, we compared differentially stable isotope-labeled saliva samples pooled from healthy and metastatic breast cancer women using a multidimensional peptide fractionation-based workflow, analyzing in parallel one sample portion with DRC and one portion without. Our workflow categorizes proteins with higher absolute abundance, whose relative abundance ratios are altered by DRC, from proteins of lower absolute abundance detected only after DRC. Within each of these salivary protein categories, we identified novel abundance changes putatively associated with breast cancer, demonstrating feasibility and benefits of DRC for relative abundance profiling. Collectively, our results bring us closer to realizing the full potential of DRC for proteomic studies.

  12. Hexapeptide libraries for enhanced protein PTM identification and relative abundance profiling in whole human saliva

    Science.gov (United States)

    Bandhakavi, Sricharan; Van Riper, Susan K; Tawfik, Pierre N; Stone, Matthew D; Haddad, Tufia; Rhodus, Nelson L.; Carlis, John V.; Griffin, Timothy J

    2011-01-01

    SUMMARY Dynamic range compression (DRC) by hexapeptide libraries increases MS/MS-based identification of lower-abundance proteins in complex mixtures. However, two unanswered questions impede fully realizing DRC’s potential in shotgun proteomics. First, does DRC enhance identification of post-translationally modified proteins? Second, can DRC be incorporated into a workflow enabling relative protein abundance profiling? We sought to answer both questions analyzing human whole saliva. Addressing question one, we coupled DRC with covalent glycopeptide enrichment and MS/MS. With DRC we identified ~2 times more N-linked glycoproteins and their glycosylation sites than without DRC, dramatically increasing the known salivary glycoprotein catalog. Addressing question two, we compared differentially stable isotope-labeled saliva samples pooled from healthy and metastatic breast cancer women using a multidimensional peptide fractionation-based workflow, analyzing in parallel one sample portion with DRC and one portion without. Our workflow categorizes proteins with higher absolute abundance, whose relative abundance ratios are altered by DRC, from proteins of lower absolute abundance detected only after DRC. Within each of these salivary protein categories we identified novel abundance changes putatively associated with breast cancer, demonstrating feasibility and benefits of DRC for relative abundance profiling. Collectively, our results bring us closer to realizing the full potential of DRC for proteomic studies. PMID:21142092

  13. MPINet: Metabolite Pathway Identification via Coupling of Global Metabolite Network Structure and Metabolomic Profile

    Directory of Open Access Journals (Sweden)

    Feng Li

    2014-01-01

    Full Text Available High-throughput metabolomics technology, such as gas chromatography mass spectrometry, allows the analysis of hundreds of metabolites. Understanding that these metabolites dominate the study condition from biological pathway perspective is still a significant challenge. Pathway identification is an invaluable aid to address this issue and, thus, is urgently needed. In this study, we developed a network-based metabolite pathway identification method, MPINet, which considers the global importance of metabolites and the unique character of metabolomic profile. Through integrating the global metabolite functional network structure and the character of metabolomic profile, MPINet provides a more accurate metabolomic pathway analysis. This integrative strategy simultaneously captures the global nonequivalence of metabolites in a pathway and the bias from metabolomic experimental technology. We then applied MPINet to four different types of metabolite datasets. In the analysis of metastatic prostate cancer dataset, we demonstrated the effectiveness of MPINet. With the analysis of the two type 2 diabetes datasets, we show that MPINet has the potentiality for identifying novel pathways related with disease and is reliable for analyzing metabolomic data. Finally, we extensively applied MPINet to identify drug sensitivity related pathways. These results suggest MPINet’s effectiveness and reliability for analyzing metabolomic data across multiple different application fields.

  14. Selection and Evaluation of Chemical Indicators for Waste Stream Identification

    Science.gov (United States)

    DeVita, W. M.; Hall, J.

    2015-12-01

    Human and animal wastes pose a threat to the quality of groundwater, surface water and drinking water. This is especially of concern for private and public water supplies in agricultural areas of Wisconsin where land spreading of livestock waste occurs on thin soils overlaying fractured bedrock. Current microbial source tracking (MST) methods for source identification requires the use of polymerase chain reaction (PCR) techniques. Due to cost, these tests are often not an option for homeowners, municipalities or state agencies with limited resources. The Water and Environmental Analysis Laboratory sought to develop chemical methods to provide lower cost processes to determine sources of fecal waste using fecal sterols, pharmaceuticals (human and veterinary) and human care/use products in ground and surface waters using solid phase extraction combined with triple quadrupole mass spectrometry. The two separate techniques allow for the detection of fecal sterol and other chemical markers in the sub part per billion-range. Fecal sterol ratios from published sources were used to evaluate drinking water samples and wastewater from onsite waste treatment systems and municipal wastewater treatment plants. Pharmaceuticals and personal care products indicative of human waste included: acetaminophen, caffeine, carbamazepine, cotinine, paraxanthine, sulfamethoxazole, and the artificial sweeteners; acesulfame, saccharin, and sucralose. The bovine antibiotic sulfamethazine was also targeted. Well water samples with suspected fecal contamination were analyzed for fecal sterols and PPCPs. Results were compared to traditional MST results from the Wisconsin State Laboratory of Hygiene. Chemical indicators were found in 6 of 11 drinking water samples, and 5 of 11 were in support of MST results. Lack of detection of chemical indicators in samples contaminated with fecal waste supports the need for confirmatory methods and advancement of chemical indicator detection technologies.

  15. Confirmed identification and toxin profiling of Campylobacter jejuni using a thermostabilized multiplex PCR formulation.

    Science.gov (United States)

    Ramachandran, Nitya; Ramlal, Shylaja; Batra, Harsh Vardhan

    2017-07-01

    Cytolethal distending toxin (CDT) producing Campylobacter jejuni species are one of the leading causes of human gastroenteritis worldwide. The main intent of the study was to develop a multiplex PCR assay for the confirmed identification and toxin profiling of C. jejuni. The genes targeted were rpo B as genus specific, hip O for species; cdt A, cdt B, cdt C encoding respective subunit proteins of CDT with Internal Amplification Control (IAC). To enhance its application as a pre-mixed ready-to-use format, the master mix of developed mPCR was dried by lyophilization and stability was assessed. Thermostabilized reagents showed stability of 1.5 months at room-temperature and upto six months at 4 °C without any loss of functionality. The assay was evaluated on a number of presumptive Campylobacter isolates along with biochemical tests. Results obtained indicated the accurate identification of C. jejuni by developed mPCR format in contrast to misconception associated with biochemical assays. The assay was also tested on spiked samples for its real-time utility. Altogether, the room-temperature storable and ready-to- use mPCR format developed in this study could be preferred for rapid detection and confirmed identification of toxigenic strains of C. jejuni in place of conventional biochemical assays. © 2017 APMIS. Published by John Wiley & Sons Ltd.

  16. Identification and Selection of Major Carbon Dioxide Stream Compositions

    Energy Technology Data Exchange (ETDEWEB)

    Last, George V.; Schmick, Mary T.

    2011-06-30

    A critical component in the assessment of long-term risk from geologic sequestration of CO2 is the ability to predict mineralogical and geochemical changes within storage reservoirs due to rock-brine-CO2 reactions. Impurities and/or other constituents selected for co-sequestration can affect both the chemical and physical (e.g. density, viscosity, interfacial tension) behavior of CO2 in the deep subsurface. These impurities and concentrations are a function of both the industrial source(s) of the CO2, as well as the carbon capture technology used to extract the CO2 and produce a concentrated stream for geologic sequestration. This report summarizes the relative concentrations of CO2 and other constituents in exhaust gases from major non-energy related industrial sources of CO2. Assuming that carbon-capture technology would remove most of the incondensable gases N2, O2, and Ar, leaving SO2 and NOx as the main impurities, we selected four test fluid compositions for use in geochemical experiments. These included: 1) a pure CO2 stream representative of food grade CO2 used in most enhanced oil recovery projects: 2) a test fluid composition containing low concentrations (0.5 mole %) SO2 and NOx (representative of that generated from cement production), 3) a test fluid composition with higher concentrations (2.5 mole %) of SO2, and 4) and test fluid composition containing 3 mole % H2S.

  17. Simultaneous genomic identification and profiling of a single cell using semiconductor-based next generation sequencing.

    Science.gov (United States)

    Watanabe, Manabu; Kusano, Junko; Ohtaki, Shinsaku; Ishikura, Takashi; Katayama, Jin; Koguchi, Akira; Paumen, Michael; Hayashi, Yoshiharu

    2014-09-01

    Combining single-cell methods and next-generation sequencing should provide a powerful means to understand single-cell biology and obviate the effects of sample heterogeneity. Here we report a single-cell identification method and seamless cancer gene profiling using semiconductor-based massively parallel sequencing. A549 cells (adenocarcinomic human alveolar basal epithelial cell line) were used as a model. Single-cell capture was performed using laser capture microdissection (LCM) with an Arcturus® XT system, and a captured single cell and a bulk population of A549 cells (≈ 10(6) cells) were subjected to whole genome amplification (WGA). For cell identification, a multiplex PCR method (AmpliSeq™ SNP HID panel) was used to enrich 136 highly discriminatory SNPs with a genotype concordance probability of 10(31-35). For cancer gene profiling, we used mutation profiling that was performed in parallel using a hotspot panel for 50 cancer-related genes. Sequencing was performed using a semiconductor-based bench top sequencer. The distribution of sequence reads for both HID and Cancer panel amplicons was consistent across these samples. For the bulk population of cells, the percentages of sequence covered at coverage of more than 100 × were 99.04% for the HID panel and 98.83% for the Cancer panel, while for the single cell percentages of sequence covered at coverage of more than 100 × were 55.93% for the HID panel and 65.96% for the Cancer panel. Partial amplification failure or randomly distributed non-amplified regions across samples from single cells during the WGA procedures or random allele drop out probably caused these differences. However, comparative analyses showed that this method successfully discriminated a single A549 cancer cell from a bulk population of A549 cells. Thus, our approach provides a powerful means to overcome tumor sample heterogeneity when searching for somatic mutations.

  18. RNA-Seq for gene identification and transcript profiling of three Stevia rebaudiana genotypes.

    Science.gov (United States)

    Chen, Junwen; Hou, Kai; Qin, Peng; Liu, Hongchang; Yi, Bin; Yang, Wenting; Wu, Wei

    2014-07-07

    Stevia (Stevia rebaudiana) is an important medicinal plant that yields diterpenoid steviol glycosides (SGs). SGs are currently used in the preparation of medicines, food products and neutraceuticals because of its sweetening property (zero calories and about 300 times sweeter than sugar). Recently, some progress has been made in understanding the biosynthesis of SGs in Stevia, but little is known about the molecular mechanisms underlying this process. Additionally, the genomics of Stevia, a non-model species, remains uncharacterized. The recent advent of RNA-Seq, a next generation sequencing technology, provides an opportunity to expand the identification of Stevia genes through in-depth transcript profiling. We present a comprehensive landscape of the transcriptome profiles of three genotypes of Stevia with divergent SG compositions characterized using RNA-seq. 191,590,282 high-quality reads were generated and then assembled into 171,837 transcripts with an average sequence length of 969 base pairs. A total of 80,160 unigenes were annotated, and 14,211 of the unique sequences were assigned to specific metabolic pathways by the Kyoto Encyclopedia of Genes and Genomes. Gene sequences of all enzymes known to be involved in SG synthesis were examined. A total of 143 UDP-glucosyltransferase (UGT) unigenes were identified, some of which might be involved in SG biosynthesis. The expression patterns of eight of these genes were further confirmed by RT-QPCR. RNA-seq analysis identified candidate genes encoding enzymes responsible for the biosynthesis of SGs in Stevia, a non-model plant without a reference genome. The transcriptome data from this study yielded new insights into the process of SG accumulation in Stevia. Our results demonstrate that RNA-Seq can be successfully used for gene identification and transcript profiling in a non-model species.

  19. Ageing Drosophila selected for longevity retain a young gene expression profile

    DEFF Research Database (Denmark)

    Sarup, Pernille Merete

      We have investigated how the gene-expression profile of longevity selected lines of Drosophila melanogaster differed from control lines in young, middle-aged and old male flies. 530 genes were differentially expressed between selected and control flies at the same chronological age. We used...... these genes in an analysis of hierarchical clustering of lines and age groups. The results showed that longevity selected flies consistently clustered with control flies that were one age class younger. Most of the genes that were upregulated in old longevity selected flies compared to control flies of equal...... chronological age were downregulated with age in both control and longevity lines. This is in accordance with a younger gene expression profile of longevity selected lines. Similarly genes that were downregulated in old longevity flies compared to control flies were upregulated with older age in both control...

  20. The Effects of Ethnic Minority Adolescents' Ethnic Self-Identification on Friendship Selection.

    Science.gov (United States)

    Jugert, Philipp; Leszczensky, Lars; Pink, Sebastian

    2017-08-17

    This study investigated the effects of ethnic minority adolescents' ethnic self-identification (host country, dual, or heritage country) on friendship choices among ethnic majority and minority peers. Hypotheses were derived from similarity-attraction and social identity theory and tested using longitudinal social network data from 1,004 middle school students (five schools) in Germany. Results showed that ethnic minority adolescents' ethnic self-identification affected friendship selection beyond ethnic homophily. While host country and dual identification was beneficial with respect to friendships with both ethnic majority and minority peers, heritage country identification was detrimental to relations with both of them. © 2017 The Authors. Journal of Research on Adolescence © 2017 Society for Research on Adolescence.

  1. Identification and selection of cases and controls in the Pneumonia Etiology Research for Child Health project

    NARCIS (Netherlands)

    Deloria-Knoll, Maria; Feikin, Daniel R.; Scott, J. Anthony G.; O'Brien, Katherine L.; DeLuca, Andrea N.; Driscoll, Amanda J.; Levine, Orin S.; Black, Robert E.; Bhutta, Zulfiqar A.; Campbell, Harry; Cherian, Thomas; Crook, Derrick W.; de Jong, Menno D.; Dowell, Scott F.; Graham, Stephen M.; Klugman, Keith P.; Lanata, Claudio F.; Madhi, Shabir A.; Martin, Paul; Nataro, James P.; Piazza, Franco M.; Qazi, Shamim A.; Zar, Heather J.; Baggett, Henry C.; Brooks, W. Abdullah; Chipeta, James; Ebruke, Bernard; Endtz, Hubert P.; Groome, Michelle; Hammitt, Laura L.; Howie, Stephen R. C.; Kotloff, Karen; Maloney, Susan A.; Moore, David; Otieno, Juliet; Seidenberg, Phil; Tapia, Milagritos; Thamthitiwat, Somsak; Thea, Donald M.; Zaman, Khaleque

    2012-01-01

    Methods for the identification and selection of patients (cases) with severe or very severe pneumonia and controls for the Pneumonia Etiology Research for Child Health (PERCH) project were needed. Issues considered include eligibility criteria and sampling strategies, whether to enroll hospital or

  2. Identification of DNA-binding proteins using support vector machines and evolutionary profiles

    Directory of Open Access Journals (Sweden)

    Gromiha Michael M

    2007-11-01

    Full Text Available Abstract Background Identification of DNA-binding proteins is one of the major challenges in the field of genome annotation, as these proteins play a crucial role in gene-regulation. In this paper, we developed various SVM modules for predicting DNA-binding domains and proteins. All models were trained and tested on multiple datasets of non-redundant proteins. Results SVM models have been developed on DNAaset, which consists of 1153 DNA-binding and equal number of non DNA-binding proteins, and achieved the maximum accuracy of 72.42% and 71.59% using amino acid and dipeptide compositions, respectively. The performance of SVM model improved from 72.42% to 74.22%, when evolutionary information in form of PSSM profiles was used as input instead of amino acid composition. In addition, SVM models have been developed on DNAset, which consists of 146 DNA-binding and 250 non-binding chains/domains, and achieved the maximum accuracy of 79.80% and 86.62% using amino acid composition and PSSM profiles. The SVM models developed in this study perform better than existing methods on a blind dataset. Conclusion A highly accurate method has been developed for predicting DNA-binding proteins using SVM and PSSM profiles. This is the first study in which evolutionary information in form of PSSM profiles has been used successfully for predicting DNA-binding proteins. A web-server DNAbinder has been developed for identifying DNA-binding proteins and domains from query amino acid sequences http://www.imtech.res.in/raghava/dnabinder/.

  3. The Role of Lipsticks and Blush Sticks in Genetic Profiling for Human Identification

    Directory of Open Access Journals (Sweden)

    Nouman Rasool

    2016-06-01

    Full Text Available The core objectives of the current study are to generate human DNA profiles from used lipsticks and blush sticks of various brands available in Pakistan. A total of 12 international and local brands of lipsticks and blush sticks were selected. The lipsticks and blush sticks were applied by twenty different healthy female volunteers of 21-30 years of age. The heads of used lipsticks and blush sticks were swabbed with dry sterile cotton swabs. The qualitative and quantitative analysis was done by real time polymerase chain reaction (PCR, using a Quantifiler® Duo DNA Quantification Kit on Real Time PCR ABI™ 7500. Samples were amplified for 16 STR loci using an AmpFlSTR® Identifiler® PCR amplification kit on Thermocycler ABI 9700. The amplified product was run on Applied Biosystems 3130™ Genetic Analyzer. The genetic profiles were analyzed on GeneMapper® ID-X software version 1.0. The quantification results showed that the yield of DNA obtained from lipstick samples was greater than that of DNA obtained from blush stick samples. The real-time PCR results showed that only 16% of cosmetic samples had shown inhibition. The DNA profiles obtained from all blush stick samples were of good quality compared to those from lipstick samples. No profile was obtained from one blush stick sample (DNA 0.001 ng/μL and four lipstick samples (DNA 0.001-0.003 ng/μL because the amount of DNA in each of these samples was less than the amount required for successful amplification. DNA profiles were successfully generated from most of the samples of various available brands of lipsticks and blush sticks. This is the first study proving that DNA profiles can be generated from various lip and face cosmetics.

  4. A novel adjuvant to the resident selection process: the hartman value profile.

    Science.gov (United States)

    Cone, Jeffrey D; Byrum, C Stephen; Payne, Wyatt G; Smith, David J

    2012-01-01

    The goal of resident selection is twofold: (1) select candidates who will be successful residents and eventually successful practitioners and (2) avoid selecting candidates who will be unsuccessful residents and/or eventually unsuccessful practitioners. Traditional tools used to select residents have well-known limitations. The Hartman Value Profile (HVP) is a proven adjuvant tool to predicting future performance in candidates for advanced positions in the corporate setting. No literature exists to indicate use of the HVP for resident selection. The HVP evaluates the structure and the dynamics of an individual value system. Given the potential impact, we implemented its use beginning in 2007 as an adjuvant tool to the traditional selection process. Experience gained from incorporating the HVP into the residency selection process suggests that it may add objectivity and refinement in predicting resident performance. Further evaluation is warranted with longer follow-up times.

  5. Identification of three immunodominant motifs with atypical isotype profile scattered over the Onchocerca volvulus proteome.

    Science.gov (United States)

    Lagatie, Ole; Van Dorst, Bieke; Stuyver, Lieven J

    2017-01-01

    Understanding the immune response upon infection with the filarial nematode Onchocerca volvulus and the mechanisms that evolved in this parasite to evade immune mediated elimination is essential to expand the toolbox available for diagnostics, therapeutics and vaccines development. Using high-density peptide microarrays we scanned the proteome-wide linear epitope repertoire in Cameroonian onchocerciasis patients and healthy controls from Southern Africa which led to the identification of 249 immunodominant antigenic peptides. Motif analysis learned that 3 immunodominant motifs, encompassing 3 linear epitopes, are present in 70, 43, and 31 of these peptides, respectively and appear to be scattered over the entire proteome in seemingly non-related proteins. These linear epitopes are shown to have an atypical isotype profile dominated by IgG1, IgG3, IgE and IgM, in contrast to the commonly observed IgG4 response in chronic active helminth infections. The identification of these linear epitope motifs may lead to novel diagnostic development but further evaluation of cross-reactivity against common co-infecting human nematode infections will be needed.

  6. Identification of three immunodominant motifs with atypical isotype profile scattered over the Onchocerca volvulus proteome.

    Directory of Open Access Journals (Sweden)

    Ole Lagatie

    2017-01-01

    Full Text Available Understanding the immune response upon infection with the filarial nematode Onchocerca volvulus and the mechanisms that evolved in this parasite to evade immune mediated elimination is essential to expand the toolbox available for diagnostics, therapeutics and vaccines development. Using high-density peptide microarrays we scanned the proteome-wide linear epitope repertoire in Cameroonian onchocerciasis patients and healthy controls from Southern Africa which led to the identification of 249 immunodominant antigenic peptides. Motif analysis learned that 3 immunodominant motifs, encompassing 3 linear epitopes, are present in 70, 43, and 31 of these peptides, respectively and appear to be scattered over the entire proteome in seemingly non-related proteins. These linear epitopes are shown to have an atypical isotype profile dominated by IgG1, IgG3, IgE and IgM, in contrast to the commonly observed IgG4 response in chronic active helminth infections. The identification of these linear epitope motifs may lead to novel diagnostic development but further evaluation of cross-reactivity against common co-infecting human nematode infections will be needed.

  7. Nitrogen accumulation profiles of selected grain and vegetable crops: A bibliography (1940-1992)

    Energy Technology Data Exchange (ETDEWEB)

    Meischen, S.J.; Byrd, K.R.

    1994-10-01

    A bibliography of nitrogen accumulation profile data for 25 vegetable and grain crops reported between 1940 and 1992 is presented. The selected crops are asparagus, broccoli, brussels sprouts, cabbage, carrots, cauliflower, celery, corn, cotton, cucumber, field bean, field pea, garlic, lettuce, onions, and peppers.

  8. Use of propidium monoazide for selective profiling of viable microbial cells during Gouda cheese ripening

    NARCIS (Netherlands)

    Erkus, O.; Jager, V.C. de; Geene, R.T.; Alen-Boerrigter, I.J. van; Hazelwood, L.; Hijum, S.A.F.T. van; Kleerebezem, M; Smid, E.J.

    2016-01-01

    DNA based microbial community profiling of food samples is confounded by the presence of DNA derived from membrane compromised (dead or injured) cells. Selective amplification of DNA from viable (intact) fraction of the community by propidium monoazide (PMA) treatment could circumvent this problem.

  9. When misery avoids company : Selective social comparisons to photographic online profiles

    NARCIS (Netherlands)

    Johnson, Benjamin K.; Knobloch-Westerwick, Silvia

    2017-01-01

    Social networking site usage may affect subjective well-being. Two experiments examined how selective exposure to profiles of other users facilitated mood management via self-enhancing social comparisons. In Study 1, when given detailed impression management cues, such as photographs and status

  10. A profile analysis of some selected health risk indicators in South ...

    African Journals Online (AJOL)

    The objective of this study was to compile a profile of some selected health risk indicators (hypertension, hypercholesterolemia, obesity, smoking and physical inactivity) of South African women, aged 30-65 years ( x = 41.6 ± 12.8 years) which can be influenced by lifestyle. The respondents comprised 3 818 women who ...

  11. Model-based fault detection and identification with online aerodynamic model structure selection

    Science.gov (United States)

    Lombaerts, T.

    2013-12-01

    This publication describes a recursive algorithm for the approximation of time-varying nonlinear aerodynamic models by means of a joint adaptive selection of the model structure and parameter estimation. This procedure is called adaptive recursive orthogonal least squares (AROLS) and is an extension and modification of the previously developed ROLS procedure. This algorithm is particularly useful for model-based fault detection and identification (FDI) of aerospace systems. After the failure, a completely new aerodynamic model can be elaborated recursively with respect to structure as well as parameter values. The performance of the identification algorithm is demonstrated on a simulation data set.

  12. Transcriptional Profiling and Identification of Heat-Responsive Genes in Perennial Ryegrass by RNA-Sequencing

    Directory of Open Access Journals (Sweden)

    Kehua Wang

    2017-06-01

    Full Text Available Perennial ryegrass (Lolium perenne is one of the most widely used forage and turf grasses in the world due to its desirable agronomic qualities. However, as a cool-season perennial grass species, high temperature is a major factor limiting its performance in warmer and transition regions. In this study, a de novo transcriptome was generated using a cDNA library constructed from perennial ryegrass leaves subjected to short-term heat stress treatment. Then the expression profiling and identification of perennial ryegrass heat response genes by digital gene expression analyses was performed. The goal of this work was to produce expression profiles of high temperature stress responsive genes in perennial ryegrass leaves and further identify the potentially important candidate genes with altered levels of transcript, such as those genes involved in transcriptional regulation, antioxidant responses, plant hormones and signal transduction, and cellular metabolism. The de novo assembly of perennial ryegrass transcriptome in this study obtained more total and annotated unigenes compared to previously published ones. Many DEGs identified were genes that are known to respond to heat stress in plants, including HSFs, HSPs, and antioxidant related genes. In the meanwhile, we also identified four gene candidates mainly involved in C4 carbon fixation, and one TOR gene. Their exact roles in plant heat stress response need to dissect further. This study would be important by providing the gene resources for improving heat stress tolerance in both perennial ryegrass and other cool-season perennial grass plants.

  13. Gene expression profiling in cervical cancer: identification of novel markers for disease diagnosis and therapy.

    LENUS (Irish Health Repository)

    Martin, Cara M

    2012-02-01

    Cervical cancer, a potentially preventable disease, remains the second most common malignancy in women worldwide. Human papillomavirus is the single most important etiological agent in cervical cancer. HPV contributes to neoplastic progression through the action of two viral oncoproteins E6 and E7, which interfere with critical cell cycle pathways, p53, and retinoblastoma. However, evidence suggests that HPV infection alone is insufficient to induce malignant changes and other host genetic variations are important in the development of cervical cancer. Advances in molecular biology and high throughput gene expression profiling technologies have heralded a new era in biomarker discovery and identification of molecular targets related to carcinogenesis. These advancements have improved our understanding of carcinogenesis and will facilitate screening, early detection, management, and personalised targeted therapy. In this chapter, we have described the use of high density microarrays to assess gene expression profiles in cervical cancer. Using this approach we have identified a number of novel genes which are differentially expressed in cervical cancer, including several genes involved in cell cycle regulation. These include p16ink4a, MCM 3 and 5, CDC6, Geminin, Cyclins A-D, TOPO2A, CDCA1, and BIRC5. We have validated expression of mRNA using real-time PCR and protein by immunohistochemistry.

  14. Genome-wide identification and developmental expression profiling of long noncoding RNAs during Drosophila metamorphosis.

    Science.gov (United States)

    Chen, Bing; Zhang, Yi; Zhang, Xia; Jia, Shili; Chen, Shuang; Kang, Le

    2016-03-21

    An increasing number of long noncoding RNAs (lncRNAs) have been discovered with the recent advances in RNA-sequencing technologies. lncRNAs play key roles across diverse biological processes, and are involved in developmental regulation. However, knowledge about how the genome-wide expression of lncRNAs is developmentally regulated is still limited. We here performed a whole-genome identification of lncRNAs followed by a global expression profiling of these lncRNAs during development in Drosophila melanogaster. We combined bioinformatic prediction of lncRNAs with stringent filtering of protein-coding transcripts and experimental validation to define a high-confidence set of Drosophila lncRNAs. We identified 1,077 lncRNAs in the given transcriptomes that contain 43,967 transcripts; among these, 646 lncRNAs are novel. In vivo expression profiling of these lncRNAs in 27 developmental processes revealed that the expression of lncRNAs is highly temporally restricted relative to that of protein-coding genes. Remarkably, 21% and 42% lncRNAs were significantly upregulated at late embryonic and larval stage, the critical time for developmental transition. The results highlight the developmental specificity of lncRNA expression, and reflect the regulatory significance of a large subclass of lncRNAs for the onset of metamorphosis. The systematic annotation and expression analysis of lncRNAs during Drosophila development form the foundation for future functional exploration.

  15. Identification of Novel Translational Urinary Biomarkers for Acetaminophen-Induced Acute Liver Injury Using Proteomic Profiling in Mice

    NARCIS (Netherlands)

    van Swelm, Rachel P. L.; Laarakkers, Coby M. M.; van der Kuur, Ellen C.; Morava-Kozicz, Eva; Wevers, Ron A.; Augustijn, Kevin D.; Touw, Daan J.; Sandel, Maro H.; Masereeuw, Rosalinde; Russel, Frans G. M.

    2012-01-01

    Drug-induced liver injury (DILI) is the leading cause of acute liver failure. Currently, no adequate predictive biomarkers for DILI are available. This study describes a translational approach using proteomic profiling for the identification of urinary proteins related to acute liver injury induced

  16. Evaluation of the inclusion of circular RNAs in mRNA profiling in forensic body fluid identification.

    Science.gov (United States)

    Zhang, Yaqi; Liu, Baonian; Shao, Chengchen; Xu, Hongmei; Xue, Aimin; Zhao, Ziqin; Shen, Yiwen; Tang, Qiqun; Xie, Jianhui

    2017-09-25

    The use of messenger RNA (mRNA) profiling is considered a promising method in the identification of forensically relevant body fluids which can provide crucial information for reconstructing a potential crime. However, casework samples are usually of limited quantity or have been subjected to degradation, which requires improvement of body fluid identification. Circular RNAs (circRNAs), a class of products from the backsplicing of pre-mRNAs, are shown to have high abundance, remarkable stability, and cell type-specific expression in human cells. In this study, we investigated whether the inclusion of circRNAs in mRNA profiling improve the detection of biomarkers including δ-aminolevulinate synthase 2 (ALAS2) and matrix metallopeptidase 7 (MMP7) in body fluid identification. The major circRNAs of ALAS2 and MMP7 were first identified and primer sets for the simultaneous detection of linear and circular transcripts were developed. The inclusion of circRNAs in mRNA profiling showed improved detection sensitivity and stability of biomarkers revealed by using serial dilutions, mixed samples, and menstrual bloodstains as well as degraded and aged samples. Therefore, the inclusion of circRNAs in mRNA profiling should facilitate the detection of mRNA markers in forensic body fluid identification.

  17. Evaluation of ensemble Monte Carlo variable selection for identification of metabolite markers on NMR data.

    Science.gov (United States)

    Esquerre, C A; Gowen, A A; O'Gorman, A; Downey, G; O'Donnell, C P

    2017-04-29

    The aim of this study was to investigate the potential of the recently developed ensemble Monte Carlo Variable Selection (EMCVS) method to identify the relevant portions of high resolution 1H NMR spectra as a metabolite fingerprinting tool and compare to a widely used method (Variable importance on projection (VIP)) and recently proposed variable selected methods i.e. selectivity ratio (SR) and significance multivariate correlation (sMC). As case studies two quantitative publicly available datasets: wine samples, urine samples of rats, and an experiment on mushroom (Agaricus bisporus) were examined. EMCVS outperformed the three other variable selection methods in most cases, selecting fewer chemical shifts and leading to improved classification of mushrooms and prediction of onion by-products intake and wine components. These fewer chemical shift regions facilitate the interpretation of the NMR spectra, fingerprinting and identification of metabolite markers. Copyright © 2017 Elsevier B.V. All rights reserved.

  18. Identification of biomarkers that distinguish chemical contaminants based on gene expression profiles.

    Science.gov (United States)

    Wei, Xiaomou; Ai, Junmei; Deng, Youping; Guan, Xin; Johnson, David R; Ang, Choo Y; Zhang, Chaoyang; Perkins, Edward J

    2014-03-31

    High throughput transcriptomics profiles such as those generated using microarrays have been useful in identifying biomarkers for different classification and toxicity prediction purposes. Here, we investigated the use of microarrays to predict chemical toxicants and their possible mechanisms of action. In this study, in vitro cultures of primary rat hepatocytes were exposed to 105 chemicals and vehicle controls, representing 14 compound classes. We comprehensively compared various normalization of gene expression profiles, feature selection and classification algorithms for the classification of these 105 chemicals into14 compound classes. We found that normalization had little effect on the averaged classification accuracy. Two support vector machine (SVM) methods, LibSVM and sequential minimal optimization, had better classification performance than other methods. SVM recursive feature selection (SVM-RFE) had the highest overfitting rate when an independent dataset was used for a prediction. Therefore, we developed a new feature selection algorithm called gradient method that had a relatively high training classification as well as prediction accuracy with the lowest overfitting rate of the methods tested. Analysis of biomarkers that distinguished the 14 classes of compounds identified a group of genes principally involved in cell cycle function that were significantly downregulated by metal and inflammatory compounds, but were induced by anti-microbial, cancer related drugs, pesticides, and PXR mediators. Our results indicate that using microarrays and a supervised machine learning approach to predict chemical toxicants, their potential toxicity and mechanisms of action is practical and efficient. Choosing the right feature and classification algorithms for this multiple category classification and prediction is critical.

  19. Identification of Gene Networks Associated with Acute Myeloid Leukemia by Comparative Molecular Methylation and Expression Profiling

    Directory of Open Access Journals (Sweden)

    Margaret Dellett

    2010-01-01

    Full Text Available Around 80% of acute myeloid leukemia (AML patients achieve a complete remission, however many will relapse and ultimately die of their disease. The association between karyotype and prognosis has been studied extensively and identified patient cohorts as having favourable [e.g. t(8; 21, inv (16/t(16; 16, t(15; 17], intermediate [e.g. cytogenetically normal (NK-AML] or adverse risk [e.g. complex karyotypes]. Previous studies have shown that gene expression profiling signatures can classify the sub-types of AML, although few reports have shown a similar feature by using methylation markers. The global methylation patterns in 19 diagnostic AML samples were investigated using the Methylated CpG Island Amplification Microarray (MCAM method and CpG island microarrays containing 12,000 CpG sites. The first analysis, comparing favourable and intermediate cytogenetic risk groups, revealed significantly differentially methylated CpG sites (594 CpG islands between the two subgroups. Mutations in the NPM1 gene occur at a high frequency (40% within the NK-AML subgroup and are associated with a more favourable prognosis in these patients. A second analysis comparing the NPM1 mutant and wild-type research study subjects again identified distinct methylation profiles between these two subgroups. Network and pathway analysis revealed possible molecular mechanisms associated with the different risk and/or mutation sub-groups. This may result in a better classification of the risk groups, improved monitoring targets, or the identification of novel molecular therapies.

  20. Identification of protein markers for the occurrence of defrosted material in milk through a MALDI-TOF-MS profiling approach.

    Science.gov (United States)

    Arena, Simona; Salzano, Anna Maria; Scaloni, Andrea

    2016-09-16

    Mozzarella di Bufala Campana is a soft, stretched curd Italian cheese made from fresh buffalo milk that obtained the Protected Designation of Origin (PDO) registration in EU legislation. Seasonality of buffalo milk production, rapid cheese decay and transport of its preserving liquid have relevant practical/economic consequences for mozzarella production; consequently, a progressive diffusion of cheese products realized with frozen curd or frozen milk has recently been observed. In order to meet the demand of the dairy producers and consumers for a reduction of starting material adulterations and for the certification of the raw milk used for cheese manufacturing, we have developed a rapid/robust MALDI-TOF-MS polypeptide profiling procedure that assays material quality through the identification of specific markers of its freshness. Massive analysis of fresh and frozen buffalo milks (stored for different times) was realized to this purpose; a tough statistical evaluation of the resulting data ultimately permitted the typing of milk samples. We identified 28 polypeptide markers of the milk freezing storage, among which 13 and 15 showed down- and over-representation, respectively. Quantitative data were confirmed by an independent analytical approach on selected markers. GLYCAM1-derived phosphopeptides (1-53), β-casein-derived phosphopeptides (1-68), β-casein-derived γ2-, γ3- and γ4-fragments, α-lactalbumin and β-lactoglobulin were components showing the highest significance. The occurrence of the first compounds in buffalo milk is here described for the first time; their formation in the frozen material was ascribed to the activity of plasmin or of unknown bacterial proteases/peptidases stable at low temperatures. In conclusion, data reported here suggest the application of this MALDI-TOF-MS polypeptide profiling platform to other high-quality dairy productions, in which milk freshness has important consequences on final product organoleptic properties. In

  1. Identification of potential ACAT-2 selective inhibitors using pharmacophore, SVM and SVR from Chinese herbs.

    Science.gov (United States)

    Qiao, Lian-Sheng; Zhang, Xian-Bao; Jiang, Lu-di; Zhang, Yan-Ling; Li, Gong-Yu

    2016-11-01

    Acyl-coenzyme A cholesterol acyltransferase (ACAT) plays an important role in maintaining cellular and organismal cholesterol homeostasis. Two types of ACAT isozymes with different functions exist in mammals, named ACAT-1 and ACAT-2. Numerous studies showed that ACAT-2 selective inhibitors are effective for the treatment of hypercholesterolemia and atherosclerosis. However, as a typical endoplasmic reticulum protein, ACAT-2 protein has not been purified and revealed, so combinatorial ligand-based methods might be the optimal strategy for discovering the ACAT-2 selective inhibitors. In this study, selective pharmacophore models of ACAT-1 inhibitors and ACAT-2 inhibitors were built, respectively. The optimal pharmacophore model for each subtype was identified and utilized as queries for the Traditional Chinese Medicine Database screening. A total of 180 potential ACAT-2 selective inhibitors were obtained, which were identified using an ACAT-2 pharmacophore and not by our ACAT-1 model. Selective SVM model and bioactive SVR model were generated for further identification of the obtained ACAT-2 inhibitors. Ten compounds were finally obtained with predicted inhibitory activities toward ACAT-2. Hydrogen bond acceptor, 2D autocorrelations, GETAWAY descriptors, and BCUT descriptors were identified as key structural features for selectivity and activity of ACAT-2 inhibitors. This study provides a reasonable ligand-based approach to discover potential ACAT-2 selective inhibitors from Chinese herbs, which could help in further screening and development of ACAT-2 selective inhibitors.

  2. Talent identification and selection in elite youth football: An Australian context.

    Science.gov (United States)

    O'Connor, Donna; Larkin, Paul; Mark Williams, A

    2016-10-01

    We identified the perceptual-cognitive skills and player history variables that differentiate players selected or not selected into an elite youth football (i.e. soccer) programme in Australia. A sample of elite youth male football players (n = 127) completed an adapted participation history questionnaire and video-based assessments of perceptual-cognitive skills. Following data collection, 22 of these players were offered a full-time scholarship for enrolment at an elite player residential programme. Participants selected for the scholarship programme recorded superior performance on the combined perceptual-cognitive skills tests compared to the non-selected group. There were no significant between group differences on the player history variables. Stepwise discriminant function analysis identified four predictor variables that resulted in the best categorization of selected and non-selected players (i.e. recent match-play performance, region, number of other sports participated, combined perceptual-cognitive performance). The effectiveness of the discriminant function is reflected by 93.7% of players being correctly classified, with the four variables accounting for 57.6% of the variance. Our discriminating model for selection may provide a greater understanding of the factors that influence elite youth talent selection and identification.

  3. Isolation, identification and antimicrobial resistance profile of Staphylococcus aureus in Cockroaches (Periplaneta Americana

    Directory of Open Access Journals (Sweden)

    Ariful Islam

    2016-09-01

    Materials and methods: A total of 150 cockroaches (P. americana were randomly captured from three households and four restaurants in Chittagong City Corporation, Bangladesh during July to December 2014. The cockroaches were transported to the bacteriology laboratory at the Poultry Research and Training Centre (PRTC, Chittagong Veterinary and Animal Sciences University. The isolation and identification of Staphylococcus spp. from the external surface wash and gut homogenates by pooling cockroaches were done by following conventional bacteriological examinations followed by biochemical characterization. The antibiotic susceptibility profiles of the isolates were determined using disc diffusion method. Results: In this study, the overall prevalence of S. aureus was 38% (n=57/150. Higher prevalence of Staphylococcus spp. was observed among the cockroaches from restaurant (49.3%; n=37/75 as compared to those of households (26.7%; n=20/75 having a significant difference (P<0.05. Highest level of resistance by the Staphylococcus spp. was found to Penicillin (68% followed by Erythromycin (60%, Oxacillin (46% and Clindamycin (31%. On the other hand, the Staphylococci isolates were highly sensitive to Cephalothin (84% and Kanamycin (65%. Conclusion: The rational use of antibiotics needs to be adopted in both human and animal medicine practices to prevent the emergence of drug resistant Staphylococcus spp. [J Adv Vet Anim Res 2016; 3(3.000: 221-228

  4. Identification of two SLI profiles through WISC - IV, CELF - 4 and FON

    Directory of Open Access Journals (Sweden)

    Ana B.Martínez

    2015-06-01

    Full Text Available This work has two objectives. First of all, to offer psychometric instruments that help more precisely identify and differentiate children with specific language impairment (SLI in the educational field and, secondly, to establish profiles of the two cases that illustrate the two current subtypes of SLI: phonologic-syntactic SLI and lexical-syntactic SLI. According to bibliographic reviews, the following tests are ideal for its identification:on the one hand the CELF-4, because language should be significantly the most affected area, the WISC – IV, an optimum test for the determination of the level of non-verbal reasoning, verbal comprehension, working memory and processing speed, and the FON, on a phonetic level, due to the level of analysis of the errors found. The results obtained in both cases corroborate a Perceptual Reasoning measured with WISC - IV, above 75, and the presence of a 1.5 deviation below average, in one of the three main scales of the CELF-4 (three in two cases: basic linguistic skills, receptive language and comprehensive language.

  5. Classification of genes and putative biomarker identification using distribution metrics on expression profiles.

    Directory of Open Access Journals (Sweden)

    Hung-Chung Huang

    Full Text Available BACKGROUND: Identification of genes with switch-like properties will facilitate discovery of regulatory mechanisms that underlie these properties, and will provide knowledge for the appropriate application of Boolean networks in gene regulatory models. As switch-like behavior is likely associated with tissue-specific expression, these gene products are expected to be plausible candidates as tissue-specific biomarkers. METHODOLOGY/PRINCIPAL FINDINGS: In a systematic classification of genes and search for biomarkers, gene expression profiles (GEPs of more than 16,000 genes from 2,145 mouse array samples were analyzed. Four distribution metrics (mean, standard deviation, kurtosis and skewness were used to classify GEPs into four categories: predominantly-off, predominantly-on, graded (rheostatic, and switch-like genes. The arrays under study were also grouped and examined by tissue type. For example, arrays were categorized as 'brain group' and 'non-brain group'; the Kolmogorov-Smirnov distance and Pearson correlation coefficient were then used to compare GEPs between brain and non-brain for each gene. We were thus able to identify tissue-specific biomarker candidate genes. CONCLUSIONS/SIGNIFICANCE: The methodology employed here may be used to facilitate disease-specific biomarker discovery.

  6. PPINGUIN: Peptide Profiling Guided Identification of Proteins improves quantitation of iTRAQ ratios

    Directory of Open Access Journals (Sweden)

    Bauer Chris

    2012-02-01

    Full Text Available Abstract Background Recent development of novel technologies paved the way for quantitative proteomics. One of the most important among them is iTRAQ, employing isobaric tags for relative or absolute quantitation. Despite large progress in technology development, still many challenges remain for derivation and interpretation of quantitative results. One of these challenges is the consistent assignment of peptides to proteins. Results We have developed Peptide Profiling Guided Identification of Proteins (PPINGUIN, a statistical analysis workflow for iTRAQ data addressing the problem of ambiguous peptide quantitations. Motivated by the assumption that peptides uniquely derived from the same protein are correlated, our method employs clustering as a very early step in data processing prior to protein inference. Our method increases experimental reproducibility and decreases variability of quantitations of peptides assigned to the same protein. Giving further support to our method, application to a type 2 diabetes dataset identifies a list of protein candidates that is in very good agreement with previously performed transcriptomics meta analysis. Making use of quantitative properties of signal patterns identified, PPINGUIN can reveal new isoform candidates. Conclusions Regarding the increasing importance of quantitative proteomics we think that this method will be useful in practical applications like model fitting or functional enrichment analysis. We recommend to use this method if quantitation is a major objective of research.

  7. PPINGUIN: Peptide Profiling Guided Identification of Proteins improves quantitation of iTRAQ ratios.

    Science.gov (United States)

    Bauer, Chris; Kleinjung, Frank; Rutishauser, Dorothea; Panse, Christian; Chadt, Alexandra; Dreja, Tanja; Al-Hasani, Hadi; Reinert, Knut; Schlapbach, Ralph; Schuchhardt, Johannes

    2012-02-16

    Recent development of novel technologies paved the way for quantitative proteomics. One of the most important among them is iTRAQ, employing isobaric tags for relative or absolute quantitation. Despite large progress in technology development, still many challenges remain for derivation and interpretation of quantitative results. One of these challenges is the consistent assignment of peptides to proteins. We have developed Peptide Profiling Guided Identification of Proteins (PPINGUIN), a statistical analysis workflow for iTRAQ data addressing the problem of ambiguous peptide quantitations. Motivated by the assumption that peptides uniquely derived from the same protein are correlated, our method employs clustering as a very early step in data processing prior to protein inference. Our method increases experimental reproducibility and decreases variability of quantitations of peptides assigned to the same protein. Giving further support to our method, application to a type 2 diabetes dataset identifies a list of protein candidates that is in very good agreement with previously performed transcriptomics meta analysis. Making use of quantitative properties of signal patterns identified, PPINGUIN can reveal new isoform candidates. Regarding the increasing importance of quantitative proteomics we think that this method will be useful in practical applications like model fitting or functional enrichment analysis. We recommend to use this method if quantitation is a major objective of research.

  8. Discovering short linear protein motif based on selective training of profile hidden Markov models.

    Science.gov (United States)

    Song, Tao; Gu, Hong

    2015-07-21

    Short linear motifs (SLiMs) in proteins are relatively conservative sequence patterns within disordered regions of proteins, typically 3-10 amino acids in length. They play an important role in mediating protein-protein interactions. Discovering SLiMs by computational methods has attracted more and more attention, most of which were based on regular expressions and profiles. In this paper, a de novo motif discovery method was proposed based on profile hidden Markov models (HMMs), which can not only provide the emission probabilities of amino acids in the defined positions of SLiMs, but also model the undefined positions. We adopted the ordered region masking and the relative local conservation (RLC) masking to improve the signal to noise ratio of the query sequences while applying evolutionary weighting to make the important sequences in evolutionary process get more attention by the selective training of profile HMMs. The experimental results show that our method and the profile-based method returned different subsets within a SLiMs dataset, and the performance of the two approaches are equivalent on a more realistic discovery dataset. Profile HMM-based motif discovery methods complement the existing methods and provide another way for SLiMs analysis. Copyright © 2015 Elsevier Ltd. All rights reserved.

  9. A new admission method may select applicants with a distinct personality profile.

    Science.gov (United States)

    Talmor, Aya G; Falk, Amir; Almog, Yaniv

    2017-06-01

    There is little data to suggest that a specific admission method can select students with a distinct personality profile. We have recently introduced a new admission process that combines a computerized personality test, with a single interview. The purpose of the current study was to find whether the new method selects applicants with a different personality profile and attitudes compared with the previous method. Using a validated personality questionnaire (HEXACO) and attitudes questionnair, that were filled anonymously between November 2014 and May 2015, the authors compared two groups of students: group A comprising students accepted with the new method (first and second year) with group B comprising students accepted with the previous method (third to sixth year). In group A, 157 responded out of 250 (63%), while in group B 194 out of 352 (55%). Group A students ranked significantly higher in honesty-humility, extraversion, agreeableness and openness to experience, and lower in emotionality. Physicians' role in society was perceived to be more meaningful among Group A students (M = 4.19, SD = 0.50, N = 152) compared to Group B students (M = 3.86, SD = 0.57, N = 184). The new method may select applicants with a distinct personality profile and different attitudes toward the physicians' role in the society.

  10. Profile of human macrophage transcripts: insights into macrophage biology and identification of novel chemokines.

    Science.gov (United States)

    Chantry, D; DeMaggio, A J; Brammer, H; Raport, C J; Wood, C L; Schweickart, V L; Epp, A; Smith, A; Stine, J T; Walton, K; Tjoelker, L; Godiska, R; Gray, P W

    1998-07-01

    High throughput partial sequencing of randomly selected cDNA clones has proven to be a powerful tool for examining the relative abundance of mRNAs and for the identification of novel gene products. Because of the important role played by macrophages in immune and inflammatory responses, we sequenced over 3000 randomly selected cDNA clones from a human macrophage library. These sequences represent a molecular inventory of mRNAs from macrophages and provide a catalog of highly expressed transcripts. Two of the most abundant clones encode recently identified CC chemokines. Macrophage-derived chemokine (MDC) plays a complex role in immunoregulation and is a potent chemoattractant for dendritic cells, T cells, and natural killer cells. The chemokine receptor CCR4 binds MDC with high affinity and also responds by calcium flux and chemotaxis. CCR4 has been shown to be expressed by Th2 type T cells. Recent studies also implicate MDC as a major component of the host defense against human immunodeficiency virus.

  11. A model selection method for nonlinear system identification based FMRI effective connectivity analysis.

    Science.gov (United States)

    Li, Xingfeng; Coyle, Damien; Maguire, Liam; McGinnity, Thomas M; Benali, Habib

    2011-07-01

    In this paper a model selection algorithm for a nonlinear system identification method is proposed to study functional magnetic resonance imaging (fMRI) effective connectivity. Unlike most other methods, this method does not need a pre-defined structure/model for effective connectivity analysis. Instead, it relies on selecting significant nonlinear or linear covariates for the differential equations to describe the mapping relationship between brain output (fMRI response) and input (experiment design). These covariates, as well as their coefficients, are estimated based on a least angle regression (LARS) method. In the implementation of the LARS method, Akaike's information criterion corrected (AICc) algorithm and the leave-one-out (LOO) cross-validation method were employed and compared for model selection. Simulation comparison between the dynamic causal model (DCM), nonlinear identification method, and model selection method for modelling the single-input-single-output (SISO) and multiple-input multiple-output (MIMO) systems were conducted. Results show that the LARS model selection method is faster than DCM and achieves a compact and economic nonlinear model simultaneously. To verify the efficacy of the proposed approach, an analysis of the dorsal and ventral visual pathway networks was carried out based on three real datasets. The results show that LARS can be used for model selection in an fMRI effective connectivity study with phase-encoded, standard block, and random block designs. It is also shown that the LOO cross-validation method for nonlinear model selection has less residual sum squares than the AICc algorithm for the study.

  12. Human transposon insertion profiling: Analysis, visualization and identification of somatic LINE-1 insertions in ovarian cancer

    Science.gov (United States)

    Tang, Zuojian; Steranka, Jared P.; Ma, Sisi; Grivainis, Mark; Rodić, Nemanja; Huang, Cheng Ran Lisa; Shih, Ie-Ming; Wang, Tian-Li; Fenyö, David

    2017-01-01

    Mammalian genomes are replete with interspersed repeats reflecting the activity of transposable elements. These mobile DNAs are self-propagating, and their continued transposition is a source of both heritable structural variation as well as somatic mutation in human genomes. Tailored approaches to map these sequences are useful to identify insertion alleles. Here, we describe in detail a strategy to amplify and sequence long interspersed element-1 (LINE-1, L1) retrotransposon insertions selectively in the human genome, transposon insertion profiling by next-generation sequencing (TIPseq). We also report the development of a machine-learning–based computational pipeline, TIPseqHunter, to identify insertion sites with high precision and reliability. We demonstrate the utility of this approach to detect somatic retrotransposition events in high-grade ovarian serous carcinoma. PMID:28096347

  13. Identification of a kinase profile that predicts chromosome damage induced by small molecule kinase inhibitors.

    Directory of Open Access Journals (Sweden)

    Andrew J Olaharski

    2009-07-01

    Full Text Available Kinases are heavily pursued pharmaceutical targets because of their mechanistic role in many diseases. Small molecule kinase inhibitors (SMKIs are a compound class that includes marketed drugs and compounds in various stages of drug development. While effective, many SMKIs have been associated with toxicity including chromosomal damage. Screening for kinase-mediated toxicity as early as possible is crucial, as is a better understanding of how off-target kinase inhibition may give rise to chromosomal damage. To that end, we employed a competitive binding assay and an analytical method to predict the toxicity of SMKIs. Specifically, we developed a model based on the binding affinity of SMKIs to a panel of kinases to predict whether a compound tests positive for chromosome damage. As training data, we used the binding affinity of 113 SMKIs against a representative subset of all kinases (290 kinases, yielding a 113x290 data matrix. Additionally, these 113 SMKIs were tested for genotoxicity in an in vitro micronucleus test (MNT. Among a variety of models from our analytical toolbox, we selected using cross-validation a combination of feature selection and pattern recognition techniques: Kolmogorov-Smirnov/T-test hybrid as a univariate filter, followed by Random Forests for feature selection and Support Vector Machines (SVM for pattern recognition. Feature selection identified 21 kinases predictive of MNT. Using the corresponding binding affinities, the SVM could accurately predict MNT results with 85% accuracy (68% sensitivity, 91% specificity. This indicates that kinase inhibition profiles are predictive of SMKI genotoxicity. While in vitro testing is required for regulatory review, our analysis identified a fast and cost-efficient method for screening out compounds earlier in drug development. Equally important, by identifying a panel of kinases predictive of genotoxicity, we provide medicinal chemists a set of kinases to avoid when designing

  14. Characterization of quinone derived protein adducts and their selective identification using redox cycling based chemiluminescence assay.

    Science.gov (United States)

    Elgawish, Mohamed Saleh; Kishikawa, Naoya; Ohyama, Kaname; Kuroda, Naotaka

    2015-07-17

    The cytotoxic mechanism of many quinones has been correlated to covalent modification of cellular proteins. However, the identification of relevant proteins targets is essential but challenging goals. To better understand the quinones cytotoxic mechanism, human serum albumin (HSA) was incubated in vitro with different concentration of menadione (MQ). In this respect, the initial nucleophilic addition of proteins to quinone converts the conjugates to redox-cycling quinoproteins with altered conformation and secondary structure and extended life span than the short lived, free quinones. The conjugation of MQ with nucleophilic sites likewise, free cysteine as well as ɛ-amino group of lysine residue of HSA has been found to be in concentration dependent manner. The conventional methods for modified proteins identification in complex mixtures are complicated and time consuming. Herein, we describe a highly selective, sensitive, simple, and fast strategy for quinoproteins identification. The suggested strategy exploited the unique redox-cycling capability of quinoproteins in presence of a reductant, dithiothreitol (DTT), to generate reactive oxygen species (ROS) that gave sufficient chemiluminescence (CL) when mixed with luminol. The CL approach is highly selective and sensitive to detect the quinoproteins in ten-fold molar excess of native proteins without adduct enrichment. The approach was also coupled with gel filtration chromatography (GFC) and used to identify adducts in complex mixture of proteins in vitro as well as in rat plasma after MQ administration. Albumin was identified as the main protein in human and rat plasma forming adduct with MQ. Overall, the identification of quinoproteins will encourage further studies of toxicological impact of quinones on human health. Copyright © 2015 Elsevier B.V. All rights reserved.

  15. Identification and real time control of current profile in Tore-supra: algorithms and simulation; Identification et controle en temps reel du profil de courant dans Tore Supra: algorithmes et simulations

    Energy Technology Data Exchange (ETDEWEB)

    Houy, P

    1999-10-15

    The aim of this work is to propose a real-time control of the current profile in order to achieve reproducible operating modes with improved energetic confinement in tokamaks. The determination of the profile is based on measurements given by interferometry and polarimetry diagnostics. Different ways to evaluate and improve the accuracy of these measurements are exposed. The position and the shape of a plasma are controlled by the poloidal system that forces them to cope with standard values. Gas or neutral ions or ice pellet or extra power injection are technical means used to control other plasma parameters. These controls are performed by servo-controlled loops. The poloidal system of Tore-supra is presented. The main obstacle to a reliable determination of the current profile is the fact that slightly different Faraday angles lead to very different profiles. The direct identification method that is exposed in this work, gives the profile that minimizes the square of the margin between measured and computed values. The different algorithms proposed to control current profiles on Tore-supra have been validated by using a plasma simulation. The code Cronos that solves the resistive diffusion equation of current has been used. (A.C.)

  16. Proteome profiling in murine models of multiple sclerosis: identification of stage specific markers and culprits for tissue damage.

    Directory of Open Access Journals (Sweden)

    Ralf A Linker

    Full Text Available The identification of new biomarkers is of high interest for the prediction of the disease course and also for the identification of pathomechanisms in multiple sclerosis (MS. To specify markers of the chronic disease phase, we performed proteome profiling during the later phase of myelin oligodendrocyte glycoprotein induced experimental autoimmune encephalomyelitis (MOG-EAE, day 35 after immunization as a model disease mimicking many aspects of secondary progressive MS. In comparison to healthy controls, high resolution 2 dimensional gel electrophoresis revealed a number of regulated proteins, among them glial fibrilary acidic protein (GFAP. Phase specific up-regulation of GFAP in chronic EAE was confirmed by western blotting and immunohistochemistry. Protein levels of GFAP were also increased in the cerebrospinal fluid of MS patients with specificity for the secondary progressive disease phase. In a next step, proteome profiling of an EAE model with enhanced degenerative mechanisms revealed regulation of alpha-internexin, syntaxin binding protein 1, annexin V and glutamate decarboxylase in the ciliary neurotrophic factor (CNTF knockout mouse. The identification of these proteins implicate an increased apoptosis and enhanced axonal disintegration and correlate well the described pattern of tissue injury in CNTF -/- mice which involve oligodendrocyte (OL apoptosis and axonal injury.In summary, our findings underscore the value of proteome analyses as screening method for stage specific biomarkers and for the identification of new culprits for tissue damage in chronic autoimmune demyelination.

  17. Refined identification of Vibrio bacterial flora from Acanthasther planci based on biochemical profiling and analysis of housekeeping genes.

    Science.gov (United States)

    Rivera-Posada, J A; Pratchett, M; Cano-Gomez, A; Arango-Gomez, J D; Owens, L

    2011-09-09

    We used a polyphasic approach for precise identification of bacterial flora (Vibrionaceae) isolated from crown-of-thorns starfish (COTS) from Lizard Island (Great Barrier Reef, Australia) and Guam (U.S.A., Western Pacific Ocean). Previous 16S rRNA gene phylogenetic analysis was useful to allocate and identify isolates within the Photobacterium, Splendidus and Harveyi clades but failed in the identification of Vibrio harveyi-like isolates. Species of the V harveyi group have almost indistinguishable phenotypes and genotypes, and thus, identification by standard biochemical tests and 16S rRNA gene analysis is commonly inaccurate. Biochemical profiling and sequence analysis of additional topA and mreB housekeeping genes were carried out for definitive identification of 19 bacterial isolates recovered from sick and wild COTS. For 8 isolates, biochemical profiles and topA and mreB gene sequence alignments with the closest relatives (GenBank) confirmed previous 16S rRNA-based identification: V. fortis and Photobacterium eurosenbergii species (from wild COTS), and V natriegens (from diseased COTS). Further phylogenetic analysis based on topA and mreB concatenated sequences served to identify the remaining 11 V harveyi-like isolates: V. owensii and V. rotiferianus (from wild COTS), and V. owensii, V. rotiferianus, and V. harveyi (from diseased COTS). This study further confirms the reliability of topA-mreB gene sequence analysis for identification of these close species, and it reveals a wider distribution range of the potentially pathogenic V. harveyi group.

  18. Identification of biomarkers for the detection of early stage lung adenocarcinoma by microarray profiling of long noncoding RNAs.

    Science.gov (United States)

    Wang, Ping; Lu, Shaohua; Mao, Hailei; Bai, Yanan; Ma, Tianle; Cheng, Zule; Zhang, Honglian; Jin, Qinghui; Zhao, Jianlong; Mao, Hongju

    2015-05-01

    Lung adenocarcinoma has one of the poorest outcomes of any cancer worldwide, in part due to the lack of a reliable means of early detection. Long noncoding RNAs (lncRNAs) have been shown to be deregulated in some types of cancer; however, the contributions of lncRNAs to lung adenocarcinoma remain unknown. We described the expression profile of lncRNAs in human lung adenocarcinoma at an early stage and the corresponding adjacent nontumorous tissues (NT) by microarray. From the microarray analysis, a total of 1170 lncRNAs were significantly differentially expressed in three early stage lung adenocarcinoma tissues compared with NT (fold-change≥2.0, p≤0.05). Candidate biomarkers were selected from the significantly differentially expressed lncRNAs based on our established filtering pipeline; subsequently, marker optimization and validation by reverse transcription quantitative real-time polymerase chain reaction (RT-qPCR) on a total of 102 pairs of early stage lung adenocarcinoma and NT samples. A panel of 5-lncRNA was identified that could distinguish early stage lung adenocarcinoma from NT samples with high sensitivity and specificity. The area under the receiver operating characteristic curve (AUC) for tumor identification in the training and validation sets were 0.978 and 0.987, respectively. Our results are the first to reveal differentially expressed lncRNAs in early stage lung adenocarcinoma and suggest that lncRNAs may be novel candidate biomarkers for the early detection of this disease. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

  19. Small Molecule Microarrays Enable the Identification of a Selective, Quadruplex-Binding Inhibitor of MYC Expression.

    Science.gov (United States)

    Felsenstein, Kenneth M; Saunders, Lindsey B; Simmons, John K; Leon, Elena; Calabrese, David R; Zhang, Shuling; Michalowski, Aleksandra; Gareiss, Peter; Mock, Beverly A; Schneekloth, John S

    2016-01-15

    The transcription factor MYC plays a pivotal role in cancer initiation, progression, and maintenance. However, it has proven difficult to develop small molecule inhibitors of MYC. One attractive route to pharmacological inhibition of MYC has been the prevention of its expression through small molecule-mediated stabilization of the G-quadruplex (G4) present in its promoter. Although molecules that bind globally to quadruplex DNA and influence gene expression are well-known, the identification of new chemical scaffolds that selectively modulate G4-driven genes remains a challenge. Here, we report an approach for the identification of G4-binding small molecules using small molecule microarrays (SMMs). We use the SMM screening platform to identify a novel G4-binding small molecule that inhibits MYC expression in cell models, with minimal impact on the expression of other G4-associated genes. Surface plasmon resonance (SPR) and thermal melt assays demonstrated that this molecule binds reversibly to the MYC G4 with single digit micromolar affinity, and with weaker or no measurable binding to other G4s. Biochemical and cell-based assays demonstrated that the compound effectively silenced MYC transcription and translation via a G4-dependent mechanism of action. The compound induced G1 arrest and was selectively toxic to MYC-driven cancer cell lines containing the G4 in the promoter but had minimal effects in peripheral blood mononucleocytes or a cell line lacking the G4 in its MYC promoter. As a measure of selectivity, gene expression analysis and qPCR experiments demonstrated that MYC and several MYC target genes were downregulated upon treatment with this compound, while the expression of several other G4-driven genes was not affected. In addition to providing a novel chemical scaffold that modulates MYC expression through G4 binding, this work suggests that the SMM screening approach may be broadly useful as an approach for the identification of new G4-binding small

  20. Identification and profiling of circulating antigens by screening with the sera from schistosomiasis japonica patients.

    Science.gov (United States)

    Lu, Yan; Xu, Bin; Ju, Chuan; Mo, Xiaojin; Chen, Shenbo; Feng, Zheng; Wang, Xiaoning; Hu, Wei

    2012-06-11

    Schistosomiasis is a chronic disease caused by trematode flatworms of the genus Schistosoma. The disease remains a serious public health problem in endemic countries and affects at least 207 million people worldwide. A definite diagnosis of the disease plays a key role in the control of schistosomiasis. The detection of schistosome circulating antigens (CAs) is an effective approach to discriminate between previous exposure and current infection. Different methods have been investigated for detecting the CAs. However, the components of the schistosome CAs remain unclear. In this study, we analyzed the CAs in sera of patients infected with Schistosoma japonicum. The parasites were collected from the infected rabbits for preparing the adult worm antigen (AWA). The hyline hens were immunized subcutaneously with AWA to produce anti-AWA IgY. The IgY was purified by water-dilution and ammonium sulfate precipitation method and identified by ELISA and Western blotting. After purification and characterization, IgY was immobilized onto the resin as a capture antibody. The circulating antigens were immune-precipitated from patients' serum samples by direct immunoprecipitation. The precipitated proteins were separated by one-dimensional electrophoresis and analyzed by LC-MS/MS. Firstly, the IgY against AWA was produced from the eggs of immunized hens by AWA, which gave a titer of 1:12800. The purified IgY was used as the capture antibody to enrich the CAs in sera of S. japonicum infected patients through immunoprecipitation. The CAs were determined by LC-MS/MS. There were four proteins, including protein BUD31 homolog, ribonuclease, SJCHGC06971 protein and SJCHGC04754 protein, which were identified among the CAs. We developed a novel method based on IgY for identification and profiling CAs in sera of S. japonicum infected patients. Four new CAs were identified and have potential value for further development of an antigen assay.

  1. Identification and profiling of circulating antigens by screening with the sera from schistosomiasis japonica patients

    Directory of Open Access Journals (Sweden)

    Lu Yan

    2012-06-01

    Full Text Available Abstract Background Schistosomiasis is a chronic disease caused by trematode flatworms of the genus Schistosoma. The disease remains a serious public health problem in endemic countries and affects at least 207 million people worldwide. A definite diagnosis of the disease plays a key role in the control of schistosomiasis. The detection of schistosome circulating antigens (CAs is an effective approach to discriminate between previous exposure and current infection. Different methods have been investigated for detecting the CAs. However, the components of the schistosome CAs remain unclear. In this study, we analyzed the CAs in sera of patients infected with Schistosoma japonicum. Methods The parasites were collected from the infected rabbits for preparing the adult worm antigen (AWA. The hyline hens were immunized subcutaneously with AWA to produce anti-AWA IgY. The IgY was purified by water-dilution and ammonium sulfate precipitation method and identified by ELISA and Western blotting. After purification and characterization, IgY was immobilized onto the resin as a capture antibody. The circulating antigens were immune-precipitated from patients′ serum samples by direct immunoprecipitation. The precipitated proteins were separated by one-dimensional electrophoresis and analyzed by LC-MS/MS. Results Firstly, the IgY against AWA was produced from the eggs of immunized hens by AWA, which gave a titer of 1:12800. The purified IgY was used as the capture antibody to enrich the CAs in sera of S. japonicum infected patients through immunoprecipitation. The CAs were determined by LC-MS/MS. There were four proteins, including protein BUD31 homolog, ribonuclease, SJCHGC06971 protein and SJCHGC04754 protein, which were identified among the CAs. Conclusions We developed a novel method based on IgY for identification and profiling CAs in sera of S. japonicum infected patients. Four new CAs were identified and have potential value for further development

  2. An enhanced PSO-DEFS based feature selection with biometric authentication for identification of diabetic retinopathy

    Directory of Open Access Journals (Sweden)

    Umarani Balakrishnan

    2016-11-01

    Full Text Available Recently, automatic diagnosis of diabetic retinopathy (DR from the retinal image is the most significant research topic in the medical applications. Diabetic macular edema (DME is the major reason for the loss of vision in patients suffering from DR. Early identification of the DR enables to prevent the vision loss and encourage diabetic control activities. Many techniques are developed to diagnose the DR. The major drawbacks of the existing techniques are low accuracy and high time complexity. To overcome these issues, this paper proposes an enhanced particle swarm optimization-differential evolution feature selection (PSO-DEFS based feature selection approach with biometric authentication for the identification of DR. Initially, a hybrid median filter (HMF is used for pre-processing the input images. Then, the pre-processed images are embedded with each other by using least significant bit (LSB for authentication purpose. Simultaneously, the image features are extracted using convoluted local tetra pattern (CLTrP and Tamura features. Feature selection is performed using PSO-DEFS and PSO-gravitational search algorithm (PSO-GSA to reduce time complexity. Based on some performance metrics, the PSO-DEFS is chosen as a better choice for feature selection. The feature selection is performed based on the fitness value. A multi-relevance vector machine (M-RVM is introduced to classify the 13 normal and 62 abnormal images among 75 images from 60 patients. Finally, the DR patients are further classified by M-RVM. The experimental results exhibit that the proposed approach achieves better accuracy, sensitivity, and specificity than the existing techniques.

  3. Personal profile of medical students selected through a knowledge-based exam only: are we missing suitable students?

    Science.gov (United States)

    Abbiati, Milena; Baroffio, Anne; Gerbase, Margaret W

    2016-01-01

    A consistent body of literature highlights the importance of a broader approach to select medical school candidates both assessing cognitive capacity and individual characteristics. However, selection in a great number of medical schools worldwide is still based on knowledge exams, a procedure that might neglect students with needed personal characteristics for future medical practice. We investigated whether the personal profile of students selected through a knowledge-based exam differed from those not selected. Students applying for medical school (N=311) completed questionnaires assessing motivations for becoming a doctor, learning approaches, personality traits, empathy, and coping styles. Selection was based on the results of MCQ tests. Principal component analysis was used to draw a profile of the students. Differences between selected and non-selected students were examined by Multivariate ANOVAs, and their impact on selection by logistic regression analysis. Students demonstrating a profile of diligence with higher conscientiousness, deep learning approach, and task-focused coping were more frequently selected (p=0.01). Other personal characteristics such as motivation, sociability, and empathy did not significantly differ, comparing selected and non-selected students. Selection through a knowledge-based exam privileged diligent students. It did neither advantage nor preclude candidates with a more humane profile.

  4. Personal profile of medical students selected through a knowledge-based exam only: are we missing suitable students?

    Directory of Open Access Journals (Sweden)

    Milena Abbiati

    2016-04-01

    Full Text Available Introduction: A consistent body of literature highlights the importance of a broader approach to select medical school candidates both assessing cognitive capacity and individual characteristics. However, selection in a great number of medical schools worldwide is still based on knowledge exams, a procedure that might neglect students with needed personal characteristics for future medical practice. We investigated whether the personal profile of students selected through a knowledge-based exam differed from those not selected. Methods: Students applying for medical school (N=311 completed questionnaires assessing motivations for becoming a doctor, learning approaches, personality traits, empathy, and coping styles. Selection was based on the results of MCQ tests. Principal component analysis was used to draw a profile of the students. Differences between selected and non-selected students were examined by Multivariate ANOVAs, and their impact on selection by logistic regression analysis. Results: Students demonstrating a profile of diligence with higher conscientiousness, deep learning approach, and task-focused coping were more frequently selected (p=0.01. Other personal characteristics such as motivation, sociability, and empathy did not significantly differ, comparing selected and non-selected students. Conclusion: Selection through a knowledge-based exam privileged diligent students. It did neither advantage nor preclude candidates with a more humane profile.

  5. A Comparison Between Jerusalem Cross and Square Patch Frequency Selective Surfaces for Low Profile Antenna Applications

    Science.gov (United States)

    Cure, David; Weller, Thomas; Miranda, Felix A.

    2011-01-01

    In this paper, a comparison between Jerusalem Cross (JC) and Square Patch (SP) based Frequency Selected Surfaces (FSS) for low profile antenna applications is presented. The comparison is aimed at understanding the performance of low profile antennas backed by high impedance surfaces. In particular, an end loaded planar open sleeve dipole (ELPOSD) antenna is examined due to the various parameters within its configuration, offering significant design flexibility and a wide operating bandwidth. Measured data of the antennas demonstrate that increasing the number of unit cells improves the fractional bandwidth. The antenna bandwidth increased from 0.8% to 1.8% and from 0.8% to 2.7% for the JC and SP structures, respectively. The number of unit cells was increased from 48 to 80 for the JC-FSS and from 24 to 48 for the SP-FSS.

  6. Identification of Eupatilin from Artemisia argyi as a Selective PPARα Agonist Using Affinity Selection Ultrafiltration LC-MS

    Directory of Open Access Journals (Sweden)

    Yongsoo Choi

    2015-07-01

    Full Text Available Peroxisome proliferator-activated receptors (PPARs are key nuclear receptors and therapeutic targets for the treatment of metabolic diseases through the regulation of insulin resistance, diabetes, and dyslipidemia. Although a few drugs that target PPARs have been approved, more diverse and novel PPAR ligands are necessary to improve the safety and efficacy of available drugs. To expedite the search for new natural agonists of PPARs, we developed a screening assay based on ultrafiltration liquid chromatography-mass spectrometry (LC-MS that is compatible with complex samples such as dietary foods or botanical extracts. The known PPARα and/or PPARγ ligands resveratrol and rosiglitazone were used as positive controls to validate the developed method. When applied to the screening of an Artemisia argyi extract, eupatilin was identified as a selective PPARα ligand. A PPAR competitive binding assay based on FRET detection also confirmed eupatilin as a selective PPARα agonist exhibiting a binding affinity of 1.18 μM (IC50. Furthermore, eupatilin activation of the transcriptional activity of PPARα was confirmed using a cell-based transactivation assay. Thus, ultrafiltration LC-MS is a suitable assay for the identification of PPAR ligands in complex matrixes such as extracts of dietary foods and botanicals.

  7. Comparative transcriptional profiling-based identification of raphanusanin-inducible genes

    Directory of Open Access Journals (Sweden)

    Hasegawa Koji

    2010-06-01

    Full Text Available Abstract Background Raphanusanin (Ra is a light-induced growth inhibitor involved in the inhibition of hypocotyl growth in response to unilateral blue-light illumination in radish seedlings. Knowledge of the roles of Ra still remains elusive. To understand the roles of Ra and its functional coupling to light signalling, we constructed the Ra-induced gene library using the Suppression Subtractive Hybridisation (SSH technique and present a comparative investigation of gene regulation in radish seedlings in response to short-term Ra and blue-light exposure. Results The predicted gene ontology (GO term revealed that 55% of the clones in the Ra-induced gene library were associated with genes involved in common defence mechanisms, including thirty four genes homologous to Arabidopsis genes implicated in R-gene-triggered resistance in the programmed cell death (PCD pathway. Overall, the library was enriched with transporters, hydrolases, protein kinases, and signal transducers. The transcriptome analysis revealed that, among the fifty genes from various functional categories selected from 88 independent genes of the Ra-induced library, 44 genes were up-regulated and 4 were down-regulated. The comparative analysis showed that, among the transcriptional profiles of 33 highly Ra-inducible genes, 25 ESTs were commonly regulated by different intensities and duration of blue-light irradiation. The transcriptional profiles, coupled with the transcriptional regulation of early blue light, have provided the functional roles of many genes expected to be involved in the light-mediated defence mechanism. Conclusions This study is the first comprehensive survey of transcriptional regulation in response to Ra. The results described herein suggest a link between Ra and cellular defence and light signalling, and thereby contribute to further our understanding of how Ra is involved in light-mediated mechanisms of plant defence.

  8. Identification of circadian-related gene expression profiles in entrained breast cancer cell lines.

    Science.gov (United States)

    Gutiérrez-Monreal, Miguel A; Treviño, Victor; Moreno-Cuevas, Jorge E; Scott, Sean-Patrick

    2016-01-01

    Cancer cells have broken circadian clocks when compared to their normal tissue counterparts. Moreover, it has been shown in breast cancer that disruption of common circadian oscillations is associated with a more negative prognosis. Numerous studies, focused on canonical circadian genes in breast cancer cell lines, have suggested that there are no mRNA circadian-like oscillations. Nevertheless, cancer cell lines have not been extensively characterized and it is unknown to what extent the circadian oscillations are disrupted. We have chosen representative non-cancerous and cancerous breast cell lines (MCF-10A, MCF-7, ZR-75-30, MDA-MB-231 and HCC-1954) in order to determine the degree to which the circadian clock is damaged. We used serum shock to synchronize the circadian clocks in culture. Our aim was to initially observe the time course of gene expression using cDNA microarrays in the non-cancerous MCF-10A and the cancerous MCF-7 cells for screening and then to characterize specific genes in other cell lines. We used a cosine function to select highly correlated profiles. Some of the identified genes were validated by quantitative polymerase chain reaction (qPCR) and further evaluated in the other breast cancer cell lines. Interestingly, we observed that breast cancer and non-cancerous cultured cells are able to generate specific circadian expression profiles in response to the serum shock. The rhythmic genes, suggested via microarray and measured in each particular subtype, suggest that each breast cancer cell type responds differently to the circadian synchronization. Future results could identify circadian-like genes that are altered in breast cancer and non-cancerous cells, which can be used to propose novel treatments. Breast cell lines are potential models for in vitro studies of circadian clocks and clock-controlled pathways.

  9. Identification and expression profiling analysis of TCP family genes involved in growth and development in maize.

    Science.gov (United States)

    Chai, Wenbo; Jiang, Pengfei; Huang, Guoyu; Jiang, Haiyang; Li, Xiaoyu

    2017-10-01

    The TCP family is a group of plant-specific transcription factors. TCP genes encode proteins harboring bHLH structure, which is implicated in DNA binding and protein-protein interactions and known as the TCP domain. TCP genes play important roles in plant development and have been evolutionarily and functionally elaborated in various plants, however, no overall phylogenetic analysis or expression profiling of TCP genes in Zea mays has been reported. In the present study, a systematic analysis of molecular evolution and functional prediction of TCP family genes in maize (Z. mays L.) has been conducted. We performed a genome-wide survey of TCP genes in maize, revealing the gene structure, chromosomal location and phylogenetic relationship of family members. Microsynteny between grass species and tissue-specific expression profiles were also investigated. In total, 29 TCP genes were identified in the maize genome, unevenly distributed on the 10 maize chromosomes. Additionally, ZmTCP genes were categorized into nine classes based on phylogeny and purifying selection may largely be responsible for maintaining the functions of maize TCP genes. What's more, microsynteny analysis suggested that TCP genes have been conserved during evolution. Finally, expression analysis revealed that most TCP genes are expressed in the stem and ear, which suggests that ZmTCP genes influence stem and ear growth. This result is consistent with the previous finding that maize TCP genes represses the growth of axillary organs and enables the formation of female inflorescences. Altogether, this study presents a thorough overview of TCP family in maize and provides a new perspective on the evolution of this gene family. The results also indicate that TCP family genes may be involved in development stage in plant growing conditions. Additionally, our results will be useful for further functional analysis of the TCP gene family in maize.

  10. Predicting domain-domain interaction based on domain profiles with feature selection and support vector machines

    Directory of Open Access Journals (Sweden)

    Liao Li

    2010-10-01

    Full Text Available Abstract Background Protein-protein interaction (PPI plays essential roles in cellular functions. The cost, time and other limitations associated with the current experimental methods have motivated the development of computational methods for predicting PPIs. As protein interactions generally occur via domains instead of the whole molecules, predicting domain-domain interaction (DDI is an important step toward PPI prediction. Computational methods developed so far have utilized information from various sources at different levels, from primary sequences, to molecular structures, to evolutionary profiles. Results In this paper, we propose a computational method to predict DDI using support vector machines (SVMs, based on domains represented as interaction profile hidden Markov models (ipHMM where interacting residues in domains are explicitly modeled according to the three dimensional structural information available at the Protein Data Bank (PDB. Features about the domains are extracted first as the Fisher scores derived from the ipHMM and then selected using singular value decomposition (SVD. Domain pairs are represented by concatenating their selected feature vectors, and classified by a support vector machine trained on these feature vectors. The method is tested by leave-one-out cross validation experiments with a set of interacting protein pairs adopted from the 3DID database. The prediction accuracy has shown significant improvement as compared to InterPreTS (Interaction Prediction through Tertiary Structure, an existing method for PPI prediction that also uses the sequences and complexes of known 3D structure. Conclusions We show that domain-domain interaction prediction can be significantly enhanced by exploiting information inherent in the domain profiles via feature selection based on Fisher scores, singular value decomposition and supervised learning based on support vector machines. Datasets and source code are freely available on

  11. Rapid Species-level Identification of Salvias by Chemometric Processing of Ambient Ionisation Mass Spectrometry-derived Chemical Profiles.

    Science.gov (United States)

    Giffen, Justine E; Lesiak, Ashton D; Dane, A John; Cody, Robert B; Musah, Rabi A

    2017-01-01

    The Salvia genus contains numerous economically important plants that have horticultural, culinary and nutraceutical uses. They are often similar in appearance, making species determination difficult. Species identification of dried Salvia products is also challenging since distinguishing plant morphological features are no longer present. The development of a simple high-throughput method of analysis of fresh and dried Salvia leaves that would permit rapid species-level identification and detection of diagnostic biomarkers. Plant leaves were analysed in their native form by DART-MS without the need for any sample preparation steps. This furnished chemical fingerprints characteristic of each species. In the same experiment, in-source collision-induced dissociation was used to identify biomarkers. Biomarker presence was also independently confirmed by GC-MS. Chemometric processing of DART-MS profiles was performed by kernel discriminant analysis (KDA) and soft independent modelling of class analogy (SIMCA) to classify the fingerprints according to species. The approach was successful despite the occurrence of diurnal cycle and plant-age related chemical profile variations within species. In a single rapid experiment, the presence of essential oil biomarkers such as 3-carene, α-pinene, β-pinene, β-thujone, β-caryophyllene, camphor and borneol could be confirmed. The method was applied to rapid identification and differentiation of Salvia apiana, S. dominica, S. elegans, S. officinalis, S. farinacea and S. patens. Species-level identification of Salvia plant material could be accomplished by chemometric processing of DART-HRMS-derived chemical profiles of both fresh and dried Salvia material. Copyright © 2016 John Wiley & Sons, Ltd. Copyright © 2016 John Wiley & Sons, Ltd.

  12. Identification of PPARγ ligands with One-dimensional Drug Profile Matching

    Directory of Open Access Journals (Sweden)

    Kovács D

    2013-09-01

    Full Text Available Diána Kovács,1 Zoltán Simon,2,3 Péter Hári,2,3 András Málnási-Csizmadia,2,4,5 Csaba Hegedus,6 László Drimba,1 József Németh,1 Réka Sári,1 Zoltán Szilvássy,1 Barna Peitl11Department of Pharmacology and Pharmacotherapy, University of Debrecen, Debrecen, Hungary; 2Drugmotif, Ltd, Veresegyház, Hungary; 3Printnet, Ltd, Budapest, Hungary; 4Department of Biochemistry, Institute of Biology, Eötvös Loránd University, Budapest, Hungary; 5Molecular Biophysics Research Group, Hungarian Academy of Sciences – Eötvös Loránd University, Budapest, Hungary; 6Cera-Med Ltd, Debrecen-Józsa, HungaryIntroduction: Computational molecular database screening helps to decrease the time and resources needed for drug development. Reintroduction of generic drugs by second medical use patents also contributes to cheaper and faster drug development processes. We screened, in silico, the Food and Drug Administration-approved generic drug database by means of the One-dimensional Drug Profile Matching (oDPM method in order to find potential peroxisome proliferator-activated receptor gamma (PPARγ agonists. The PPARγ action of the selected generics was also investigated by in vitro and in vivo experiments.Materials and methods: The in silico oDPM method was used to determine the binding potency of 1,255 generics to 149 proteins collected. In vitro PPARγ activation was determined by measuring fatty acid-binding protein 4/adipocyte protein gene expression in a Mono Mac 6 cell line. The in vivo insulin sensitizing effect of the selected compound (nitazoxanide; 50–200 mg/kg/day over 8 days; n = 8 was established in type 2 diabetic rats by hyperinsulinemic euglycemic glucose clamping.Results: After examining the closest neighbors of each of the reference set’s members and counting their most abundant neighbors, ten generic drugs were selected with oDPM. Among them, four enhanced fatty acid-binding protein/adipocyte protein gene expression in the Mono Mac

  13. Characterization of MicroRNA Expression Profiles and Identification of Potential Biomarkers in Leprosy.

    Science.gov (United States)

    Jorge, Karina T O S; Souza, Renan P; Assis, Marieta T A; Araújo, Marcelo G; Locati, Massimo; Jesus, Amélia M R; Dias Baptista, Ida M F; Lima, Cristiano X; Teixeira, Antônio L; Teixeira, Mauro M; Soriani, Frederico M

    2017-05-01

    Leprosy is an important cause of disability in the developing world. Early diagnosis is essential to allow for cure and to interrupt transmission of this infection. MicroRNAs (miRNAs) are important factors for host-pathogen interaction and they have been identified as biomarkers for various infectious diseases. The expression profile of 377 microRNAs were analyzed by TaqMan low-density array (TLDA) in skin lesions of tuberculoid and lepromatous leprosy patients as well as skin specimens from healthy controls. In a second step, 16 microRNAs were selected for validation experiments with reverse transcription-quantitative PCR (qRT-PCR) in skin samples from new individuals. Principal-component analysis followed by logistic regression model and receiver operating characteristic (ROC) curve analyses were performed to evaluate the diagnostic potential of selected miRNAs. Four patterns of differential expression were identified in the TLDA experiment, suggesting a diagnostic potential of miRNAs in leprosy. After validation experiments, a combination of four miRNAs (miR-101, miR-196b, miR-27b, and miR-29c) was revealed as able to discriminate between healthy control and leprosy patients with 80% sensitivity and 91% specificity. This set of miRNAs was also able to discriminate between lepromatous and tuberculoid patients with a sensitivity of 83% and 80% specificity. In this work, it was possible to identify a set of miRNAs with good diagnostic potential for leprosy. Copyright © 2017 American Society for Microbiology.

  14. Studies of farmers' annual exposure to whole body vibration on selected family farms of mixed production profile

    National Research Council Canada - National Science Library

    Solecki, Leszek

    2012-01-01

    The objective of the study was to recognize and evaluate the annual exposure of private farmers to whole body mechanical vibration on selected family farms of mixed production profile (plant-animal...

  15. The photon identification loophole in EPRB experiments: computer models with single-wing selection

    Science.gov (United States)

    De Raedt, Hans; Michielsen, Kristel; Hess, Karl

    2017-11-01

    Recent Einstein-Podolsky-Rosen-Bohm experiments [M. Giustina et al. Phys. Rev. Lett. 115, 250401 (2015); L. K. Shalm et al. Phys. Rev. Lett. 115, 250402 (2015)] that claim to be loophole free are scrutinized. The combination of a digital computer and discrete-event simulation is used to construct a minimal but faithful model of the most perfected realization of these laboratory experiments. In contrast to prior simulations, all photon selections are strictly made, as they are in the actual experiments, at the local station and no other "post-selection" is involved. The simulation results demonstrate that a manifestly non-quantum model that identifies photons in the same local manner as in these experiments can produce correlations that are in excellent agreement with those of the quantum theoretical description of the corresponding thought experiment, in conflict with Bell's theorem which states that this is impossible. The failure of Bell's theorem is possible because of our recognition of the photon identification loophole. Such identification measurement-procedures are necessarily included in all actual experiments but are not included in the theory of Bell and his followers.

  16. The impact of elite labour migration on the identification, selection and development of European soccer players.

    Science.gov (United States)

    Maguire, J; Pearton, R

    2000-09-01

    In this study, we examined sociocultural aspects of the identification, selection and development of elite soccer players as part of wider processes of globalization, particularly worker migration. Patterns of migration were identified among the 704 players who comprised the national squads of the 32 nations contesting the finals of the 1998 World Cup in France. An analysis of the migration patterns within and between the six Confederations into which member nations of FIFA are grouped established the European Federation (UEFA) as soccer's core economy. The study is subsequently focused on Europe and, in particular, upon the import strategies of clubs in the four most popular destination countries - England, Germany, Italy and Spain. It is argued that, in light of European Union deregulation of worker migration between member states and, in particular, the Bosman judgement, European soccer is being reshaped. The identification and selection of elite players are producing migrant patterns that are seen increasingly to impact upon indigenous player development and, potentially, the viability and success of national teams. We argue that, although these developments are contoured in part by global economic factors, economic accounts alone do not provide an adequate understanding of them. A series of interrelated economic, political, cultural and social factors is at work. We conclude with a brief outline of the policy implications of the analysis.

  17. Species identification and selection to develop agroforestry at Lake Toba Catchment Area (LTCA

    Directory of Open Access Journals (Sweden)

    NURHENI WIJAYANTO

    2011-01-01

    Full Text Available Wijayanto N (2011 Species identification and selection to develop agroforestry at Lake Toba Catchment Area (LTCA. Biodiversitas 12: 52-58. In order to improve land productivity surrounding the LTCA, the existing ITTO project tries to establish agroforestry system. The system will be designed to meet consideration of both sides. on one side is to generate the people awareness of the forest and land rehabilitation, and on the other side is to support the poverty reduction. The aims of this research are: species identification and selection to develop agroforestry at LTCA. Data collecting was carried out with: interview, group discussion, field observation, divining manual study, and PRA. The diversity of the available crop kind shows the number of choices to be developed by the farmer. The farmers generally have the economic objective to develop agroforestry, including increase in net income, risk reduction, increase in environmental service, and the wealth and savings accumulation. Various types of agricultural crops, plantations and forest trees were found in LTCA. They can be the basis for building a wide variety of agroforestry systems.

  18. Comparative Analysis of Selected Motor Fitness Profile of Football Referees in Cross River and AKWA IBOM States, Nigeria

    Science.gov (United States)

    Ogabor, J. O.; Sanusi, M.; Saulawa, A. I.

    2015-01-01

    The purpose of this study was to compare selected motor fitness profile of football referees in Cross River and Akwa Ibom States. Motor fitness profiles compared were running speed and agility of the referees. Standardized equipment and procedures were employed in the tests. To achieve the objectives of the study, two research hypotheses were…

  19. Rapid and inexpensive body fluid identification by RNA profiling-based multiplex High Resolution Melt (HRM) analysis.

    Science.gov (United States)

    Hanson, Erin K; Ballantyne, Jack

    2013-01-01

    Positive identification of the nature of biological material present on evidentiary items can be crucial for understanding the circumstances surrounding a crime. However, traditional protein-based methods do not permit the identification of all body fluids and tissues, and thus molecular based strategies for the conclusive identification of all forensically relevant biological fluids and tissues need to be developed. Messenger RNA (mRNA) profiling is an example of such a molecular-based approach. Current mRNA body fluid identification assays involve capillary electrophoresis (CE) or quantitative RT-PCR (qRT-PCR) platforms, each with its own limitations. Both platforms require the use of expensive fluorescently labeled primers or probes. CE-based assays require separate amplification and detection steps thus increasing the analysis time. For qRT-PCR assays, only 3-4 markers can be included in a single reaction since each requires a different fluorescent dye. To simplify mRNA profiling assays, and reduce the time and cost of analysis, we have developed single- and multiplex body fluid High Resolution Melt (HRM) assays for the identification of common forensically relevant biological fluids and tissues. The incorporated biomarkers include IL19 (vaginal secretions), IL1F7 (skin), ALAS2 (blood), MMP10 (menstrual blood), HTN3 (saliva) and TGM4 (semen).  The HRM assays require only unlabeled PCR primers and a single saturating intercalating fluorescent dye (Eva Green). Each body-fluid-specific marker can easily be identified by the presence of a distinct melt peak. Usually, HRM assays are used to detect variants or isoforms for a single gene target. However, we have uniquely developed duplex and triplex HRM assays to permit the simultaneous detection of multiple targets per reaction. Here we describe the development and initial performance evaluation of the developed HRM assays. The results demonstrate the potential use of HRM assays for rapid, and relatively inexpensive

  20. Expression profiling of blood samples from an SU5416 Phase III metastatic colorectal cancer clinical trial: a novel strategy for biomarker identification

    Directory of Open Access Journals (Sweden)

    Smolich Beverly D

    2003-02-01

    Full Text Available Abstract Background Microarray-based gene expression profiling is a powerful approach for the identification of molecular biomarkers of disease, particularly in human cancers. Utility of this approach to measure responses to therapy is less well established, in part due to challenges in obtaining serial biopsies. Identification of suitable surrogate tissues will help minimize limitations imposed by those challenges. This study describes an approach used to identify gene expression changes that might serve as surrogate biomarkers of drug activity. Methods Expression profiling using microarrays was applied to peripheral blood mononuclear cell (PBMC samples obtained from patients with advanced colorectal cancer participating in a Phase III clinical trial. The PBMC samples were harvested pre-treatment and at the end of the first 6-week cycle from patients receiving standard of care chemotherapy or standard of care plus SU5416, a vascular endothelial growth factor (VEGF receptor tyrosine kinase (RTK inhibitor. Results from matched pairs of PBMC samples from 23 patients were queried for expression changes that consistently correlated with SU5416 administration. Results Thirteen transcripts met this selection criterion; six were further tested by quantitative RT-PCR analysis of 62 additional samples from this trial and a second SU5416 Phase III trial of similar design. This method confirmed four of these transcripts (CD24, lactoferrin, lipocalin 2, and MMP-9 as potential biomarkers of drug treatment. Discriminant analysis showed that expression profiles of these 4 transcripts could be used to classify patients by treatment arm in a predictive fashion. Conclusions These results establish a foundation for the further exploration of peripheral blood cells as a surrogate system for biomarker analyses in clinical oncology studies.

  1. Identification of Aging-Associated Food Quality Changes in Citrus Products Using Untargeted Chemical Profiling.

    Science.gov (United States)

    Ronningen, Ian G; Peterson, Devin G

    2018-01-24

    Chemometric techniques have seen wide application in biological and medical sciences, but they are still developing in the food sciences. This study illustrated the use of untargeted LC/MS chemometric methods to identify features (retention time_m/z) associated with food quality changes as products age (freshness). Extracts of three citrus fruit varietals aged over four time points that corresponded to noted changes in sensory attributes were chemically profiled and modeled by two discriminatory multivariate statistical techniques, projection partial least-squares discrimant analysis (PLS-DA) and machine learning random forest (RF). Age-associated compounds across the citrus platform were identified. Varietal was treated as a nuisance variable to emphasize aging chemistry, and further variable selection using age-related piecewise model generation and meta filtering to emphasize features associated with general aging chemistry common to all the citrus extracts. The identified features were further replicated in a validation study to illustrate the validity and persistence of these markers for applications in citrus food platforms.

  2. Identification and expression profiling of DNA methyltransferases during development and stress conditions in Solanaceae.

    Science.gov (United States)

    Kumar, Rahul; Chauhan, Pankaj Kumar; Khurana, Ashima

    2016-09-01

    DNA methyltransferase (DMTase) enzymes contribute to plant development and stress responses by de novo establishment and subsequent maintenance of DNA methylation during replication. However, the molecular mechanism underlying this activity remains obscure, especially in crop species. Using DMTase homolog complement in six Solanaceae species, we demonstrated here that their number remained conserved in Solanum lineage, whereas it was expanded in both pepper and Nicotiana benthamiana. Non-synonymous vs synonymous (Ka/Ks) substitution ratio revealed that most of the Solanaceous DMTase homologs undergo purifying selection. The genomic sequences of tomato DMT homologs in its wild relative, Solanum pennellii, remained highly conserved in their exons and methyltransferase domains. Structure analysis further revealed highly similar folding of DMTase homologs and conservation in the residues participating in protein-protein interaction in Solanum lineage, whereas a considerable diversification was observed of pepper homologs. Transcript profiling of DMTases highlighted both similar and distinct expression patterns of tomato homologs in other species during fruit development and stress responses. Overall, our analysis provides a strong basis for in-depth exploration of both conserved as well as distinct functions of tomato DMTase homologs in other economically important Solanaceae species.

  3. Proteomic Profiling of Exosomes Leads to the Identification of Novel Biomarkers for Prostate Cancer

    Energy Technology Data Exchange (ETDEWEB)

    Duijvesz, Diederick; Burnum-Johnson, Kristin E.; Gritsenko, Marina A.; Hoogland, Marije; Vredenbregt-van den Berg, Mirella S.; Willemsen, Rob; Luider, Theo N.; Pasa-Tolic, Ljiljana; Jenster, Guido

    2013-12-31

    Introduction: Current markers for prostate cancer, such as PSA lack specificity. Therefore, novel biomarkers are needed. Unfortunately, biomarker discovery from body fluids is often hampered by the high abundance of many proteins unrelated to disease. An attractive alternative biomarker discovery approach is the isolation of small vesicles (exosomes, ~100 nm). They contain proteins that are specific to the tissue from which they are derived and therefore can be considered as treasure chests for disease-specific marker discovery. Profiling prostate cancer-derived exosomes could reveal new markers for this malignancy. Materials and Methods: Exosomes were isolated from 2 immortalized primary prostate epithelial cells (PNT2C2 and RWPE-1) and 2 PCa cell lines (PC346C and VCaP) by ultracentrifugation. Proteomic analyses utilized a nanoLC coupled with an LTQ-Orbitrap operated in tandem MS (MS/MS) mode, followed by the Accurate Mass and Time (AMT) tag approach. Exosomal proteins were validated by Western blotting. A Tissue Micro Array, containing 481 different PCa samples (radical prostatectomy), was used to correlate candidate markers with several clinical-pathological parameters such as PSA, Gleason score, biochemical recurrence, and (PCa-related) death. Results: Proteomic characterization resulted in the identification of 263 proteins by at least 2 peptides. Specifically analysis of exosomes from PNT2C2, RWPE-1, PC346C, and VCaP identified 248, 233, 169, and 216 proteins, respectively. Statistical analyses revealed 52 proteins differently expressed between PCa and control cells, 9 of which were more abundant in PCa. Validation by Western blotting confirmed a higher abundance of FASN, XPO1 and PDCD6IP (ALIX) in PCa exosomes. The Tissue Micro 4 Array showed strong correlation of higher Gleason scores and local recurrence with increased cytoplasmic XPO1 (P<0.001). Conclusions: Differentially abundant proteins of cell line-derived exosomes make a clear subdivision between

  4. Sensitive Wavelengths Selection in Identification of Ophiopogon japonicus Based on Near-Infrared Hyperspectral Imaging Technology.

    Science.gov (United States)

    Xia, Zhengyan; Zhang, Chu; Weng, Haiyong; Nie, Pengcheng; He, Yong

    2017-01-01

    Hyperspectral imaging (HSI) technology has increasingly been applied as an analytical tool in fields of agricultural, food, and Traditional Chinese Medicine over the past few years. The HSI spectrum of a sample is typically achieved by a spectroradiometer at hundreds of wavelengths. In recent years, considerable effort has been made towards identifying wavelengths (variables) that contribute useful information. Wavelengths selection is a critical step in data analysis for Raman, NIRS, or HSI spectroscopy. In this study, the performances of 10 different wavelength selection methods for the discrimination of Ophiopogon japonicus of different origin were compared. The wavelength selection algorithms tested include successive projections algorithm (SPA), loading weights (LW), regression coefficients (RC), uninformative variable elimination (UVE), UVE-SPA, competitive adaptive reweighted sampling (CARS), interval partial least squares regression (iPLS), backward iPLS (BiPLS), forward iPLS (FiPLS), and genetic algorithms (GA-PLS). One linear technique (partial least squares-discriminant analysis) was established for the evaluation of identification. And a nonlinear calibration model, support vector machine (SVM), was also provided for comparison. The results indicate that wavelengths selection methods are tools to identify more concise and effective spectral data and play important roles in the multivariate analysis, which can be used for subsequent modeling analysis.

  5. Identification of ligand-selective peptidic ActRIIB-antagonists using phage display technology.

    Science.gov (United States)

    Sakamoto, Kotaro; Kanematsu-Yamaki, Yoko; Kamada, Yusuke; Oka, Masahiro; Ohnishi, Toshiyuki; Miwa, Masanori; Asami, Taiji; Inooka, Hiroshi

    2017-09-01

    ActRIIB (activin receptor type-2B) is an activin receptor subtype constitutively expressed in the whole body, playing a role in cellular proliferation, differentiation, and metabolism. For its various physiological activities, ActRIIB interacts with activin and multiple other ligands including myostatin (MSTN), growth differentiation factor 11 (GDF11), and bone morphogenetic protein 9 (BMP9). Notably, the protein-protein interaction (PPI) between ActRIIB and MSTN negatively controls muscular development. Therefore, this PPI has been targeted for effective treatment of muscle degenerative diseases such as muscular dystrophy and sarcopenia. Here, we report the identification of ligand-selective peptidic ActRIIB-antagonists by phage display technology. Our peptides bound to the extracellular domain of ActRIIB, inhibited PPIs between ActRIIB expressed on the cell surface and its ligands, and subsequently suppressed activation of Smad that serves as the downstream signal of the ActRIIB pathway. Interestingly, these peptidic antagonists displayed different ligand selectivities; the AR2mini peptide inhibited multiple ligands (activin A, MSTN, GDF11, and BMP9), AR9 inhibited MSTN and GDF11, while AR8 selectively inhibited MSTN. This is the first report of artificial peptidic ActRIIB-antagonists possessing ligand-selectivity.

  6. Microalgal Species Selection for Biodiesel Production Based on Fuel Properties Derived from Fatty Acid Profiles

    Directory of Open Access Journals (Sweden)

    Md. Nurun Nabi

    2013-10-01

    Full Text Available Physical and chemical properties of biodiesel are influenced by structural features of the fatty acids, such as chain length, degree of unsaturation and branching of the carbon chain. This study investigated if microalgal fatty acid profiles are suitable for biodiesel characterization and species selection through Preference Ranking Organisation Method for Enrichment Evaluation (PROMETHEE and Graphical Analysis for Interactive Assistance (GAIA analysis. Fatty acid methyl ester (FAME profiles were used to calculate the likely key chemical and physical properties of the biodiesel [cetane number (CN, iodine value (IV, cold filter plugging point, density, kinematic viscosity, higher heating value] of nine microalgal species (this study and twelve species from the literature, selected for their suitability for cultivation in subtropical climates. An equal-parameter weighted (PROMETHEE-GAIA ranked Nannochloropsis oculata, Extubocellulus sp. and Biddulphia sp. highest; the only species meeting the EN14214 and ASTM D6751-02 biodiesel standards, except for the double bond limit in the EN14214. Chlorella vulgaris outranked N. oculata when the twelve microalgae were included. Culture growth phase (stationary and, to a lesser extent, nutrient provision affected CN and IV values of N. oculata due to lower eicosapentaenoic acid (EPA contents. Application of a polyunsaturated fatty acid (PUFA weighting to saturation led to a lower ranking of species exceeding the double bond EN14214 thresholds. In summary, CN, IV, C18:3 and double bond limits were the strongest drivers in equal biodiesel parameter-weighted PROMETHEE analysis.

  7. Isolation and Fatty Acid Profile of Selected Microalgae Strains from the Red Sea for Biofuel Production

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    Khalid M. Abu-Salah

    2013-05-01

    Full Text Available The isolation of lipid-rich autochthonous strains of microalgae is a crucial stage for the development of a microalgae-based biofuel production plant, as these microalgae already have the necessary adaptations to withstand competition, predation and the temperatures observed at each production site. This is particularly important in extreme climates such as in Saudi Arabia. Resorting to fluorescence activated cell sorting (FACS we screened for and isolated several microalgal strains from samples collected from the Red Sea. Relying on the fluorescence of BODIPY 505/515 (4,4-difluoro-1,3,5,7-tetramethyl-4-bora-3a,4a-diazasindacene and growth performance, four promising candidates were identified and the total lipid content and fatty acid profile was assessed for biofuels production. Selected isolates were classified as chlorophytes, belonging to three different genera: Picochlorum, Nannochloris and Desmochloris. The lipid contents were assessed microscopically by means of BODIPY 505/515-associated fluorescence to detect intracellular lipid bodies, which revealed several lipid drops in all selected strains. This result was confirmed by lipid gravimetric determination, which demonstrated that all strains under study presented inner cell lipid contents ranging from 20% to 25% of the biomass dry weight. Furthermore, the fatty acid methyl esters profile of all strains seems ideal for biodiesel production due to a low degree of polyunsaturated fatty acid methyl esters and high amount of palmitic and oleic acids.

  8. Total Dietary Fiber Content of Selected Traditional Beverages in Egypt: A Brief Profile

    Directory of Open Access Journals (Sweden)

    Basil H. Aboul-Enein

    2015-11-01

    Full Text Available Escalating obesity rates have become a major public health concern in North Africa and the Middle East. Culturally-congruent dietary health education and strategies continue to be warranted to address this increasing public health crisis. Knowledge and familiarity with traditional foods and their nutritive value would assist public health practitioners in becoming culturally competent when educating on healthy eating patterns. The aim of this study is to provide a brief dietary profile of the total dietary fiber (TDF contents of selected traditional beverages in Egypt. Five cookbooks for Egyptian food recipes were reviewed for traditional beverages. Beverage recipes (n = 19 were selected and reviewed for their TDF content using the United States Department of Agriculture (USDA National Nutrient Database for Standard Reference (Release 27. The published values for TDF content were tabulated and reported per 100 mL of consumable portions. The highest TDF content was found in carob juice (8.0 g and the lowest found in peppermint tea (0.0 g with an overall TDF mean content of 2.8 g. Traditional beverages could be regarded as important sources of TDF within a healthy Egyptian dietary pattern. Cultural awareness and familiarities to traditional foods and their respective dietary profiles should be encouraged as an objective towards building culturally-competent health professionals and combating obesity in Egypt. Furthermore, developments of a traditional Egyptian food nutrient database for public access should be explored.

  9. High resolution profiling of ammonium and carbonate with solid contact ion selective electrodes

    Science.gov (United States)

    Athavale, R.; Wehrli, B.; Dinkel, C.; Crespo, G.; Bakker, E.; Brand, A.

    2016-02-01

    Biogeochemical processes involved in the carbon and nitrogen cycle are often confined to very narrow zones in aquatic systems. To study such processes, highly resolved measurements are required, which are not possible by conventional sampling and subsequent laboratory analysis. Potentiometric solid contact ion selective electrodes (SC-ISEs) are promising tools for high resolution in-situ profiling owing to their robustness to pressure changes, their improved detection limits ( 10-6 M) and selectivity and the fast response (t95 ≤ 10s). Conventional SC-ISEs work well under controlled laboratory conditions but can fail to meet the challenges of natural water matrices. In-situ application requires SC-ISEs which are insensitive to changes in redox conditions, pH, and light and to reactive solutes such as high sulfide concentrations. To meet these criteria, we adapted a double layer design by using different combinations of transducing materials and membrane matrices for fabrication of SC-ISEs. We applied these sensors in an custom built profiling set up and demonstrated the potential of this system for high resolution in-situ measurements.

  10. Evaluation of different methods for DNA extraction from human burnt bones and the generation of genetic profiles for identification.

    Science.gov (United States)

    Uzair, Anum; Rasool, Nouman; Wasim, Muhammad

    2017-10-01

    Bone exposure to heat in the presence of moisture breaks the phosphodiester bonds of the backbone, leaving sheared DNA in bone cells. This also limits the possibility of generating a complete profile of the victim. With the increasing incidence of fire outbreaks over the past few years, a paradigm shift to establish identity has been observed, from morphological identification of victims to STR profiling. For this study, 10 bone samples were taken from burnt human bodies that were recovered from different fire outbreak scenes. The DNA from these burnt human tissues was isolated using four different extraction methods: the organic extraction method, the total demineralisation method, the Qiagen kit method, and the Chelex extraction method. STR profiles of victims were generated on a genetic analyser using an AmpFlSTR Identifiler® Plus Kit and analysed on Gene Mapper ID-X. DNA isolated from bones using the total demineralisation extraction method and organic extraction method was of the highest quality due to the efficient removal of inhibitors. DNA obtained using these two methods successfully generated the STR profiles of the victims. The quality of isolated DNA obtained through the Qiagen kit was comparatively low, but STR profiles of the victims were successfully generated. The Chelex kit failed to extract good quality DNA of high quantity from the burnt bones, encountering inhibition in all samples at varying degrees. This study concludes that total demineralisation and the Qiagen kit are sophisticated and reliable methods to obtain a good yield of DNA from burnt human bones, which can be used for the identification of victims.

  11. An Approach to Near Field Data Selection in Radio Frequency Identification

    Science.gov (United States)

    Winkworth, Robert D.

    Personal identification is needed in many civil activities, and the common identification cards, such as a driver's license, have become the standard document de facto. Radio frequency identification has complicated this matter. Unlike their printed predecessors, contemporary RFID cards lack a practical way for users to control access to their individual fields of data. This leaves them more available to unauthorized parties, and more prone to abuse. Here, then was undertaken a means to test a novel RFID card technology that allows overlays to be used for reliable, reversible data access settings. Similar to other proposed switching mechanisms, it offers advantages that may greatly improve outcomes. RFID use is increasing in identity documents such as drivers' licenses and passports, and with it concern over the theft of personal information, which can enable unauthorized tracking or fraud. Effort put into designing a strong foundation technology now may allow for widespread development on them later. In this dissertation, such a technology was designed and constructed, to drive the central thesis that selective detuning could serve as a feasible, reliable mechanism. The concept had been illustrated effective in limiting access to all fields simultaneously before, and was here effective in limiting access to specific fields selectively. A novel card was produced in familiar dimensions, with an intuitive interface by which users may conceal the visible print of the card to conceal the wireless emissions it allows. A discussion was included of similar technologies, involving capacitive switching, that could further improve the outcomes if such a product were put to large-scale commercial fabrication. The card prototype was put to a battery of laboratory tests to measure the degree of independence between data fields and the reliability of the switching mechanism when used under realistically variable coverage, demonstrating statistically consistent performance in

  12. Identification and profiling of growth-related microRNAs in Chinese perch (Siniperca chuatsi).

    Science.gov (United States)

    Tu, Jiagang; Tian, Changxu; Zhao, Peiqi; Sun, Junxiao; Wang, Min; Fan, Qixue; Yuan, Yongchao

    2017-06-28

    MicroRNAs (miRNAs) are endogenous small non-coding RNAs that play important roles in the regulation of diverse biological processes in eukaryotes. Chinese perch (Siniperca chuatsi) is one of the most economically important fish species widely cultured in China. Growth is an extremely important characteristic in fish. Individual differences in body size are common in Siniperca chuatsi, which significantly influence the aquaculture production of Siniperca chuatsi. However, the underline growth-related regulatory factors, such as miRNAs, are still unknown. To investigate the growth-related miRNAs in Siniperca chuatsi, two RNA libraries from four growth-related tissues (brain, pituitary, liver, and muscle) of Siniperca chuatsi at 6-month stage with relatively high or low growth rates (big-size group or small-size group) were obtained and sequenced using Solexa sequencing. A total of 252 known miRNAs and 12 novel miRNAs were identified. The expression patterns of these miRNAs in big-size group and small-size group were compared, and the results showed that 31 known and 5 novel miRNAs were differently expressed (DE). Furthermore, to verify the Solexa sequencing, five DE miRNAs were randomly selected and quantified by quantitative reverse transcription polymerase chain reaction (qRT-PCR). The results showed that their expression patterns were consistent with those of Solexa sequencing. In addition, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis of target genes of DE miRNAs was performed. It showed that the target genes were involved in multiple biological processes including metabolic process, suggesting that metabolic process played an important role in growth of fish. Siniperca chuatsi is a popular and economically important species in aquaculture. In this study, miRNAs in Siniperca chuatsi with different growth rates were identified, and their expression profiles were compared. The data provides the first large-scale mi

  13. Marketing on Social Networks: Content Analysis of Facebook Profiles of Selected Czech E-shops

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    Jiří Čeněk

    2016-09-01

    Full Text Available Purpose of the article: The research focused on the identification of types and frequencies of posts added by e-shops and the reactions of fans to the posts. Three e-shops were analysed: Alza.cz, Czc.cz and Mironet.cz. Several categories were selected as qualitative units of analysis of communication between e-shops and fans, the frequencies of all the selected categories were measured and correlations between selected variables were calculated. Methodology/methods: The main research method was quantitative content analysis, which allows the gathering of large numbers of qualitative data and transforming them into data of quantitative nature that can be the subject of further statistical analysis. In case of interesting quantitative findings, a qualitative explanation was used. Both communication from e-shops to fans and communication from fans to e-shops (and among fans in the years 2011–2015 were analysed. Scientific aim: The objective of the research presented in this article is based on content analysis to evaluate the level of the Facebook communication of selected Czech e-shops with consumer electronics within 2011–2015 using a quantitative content analysis method. Findings: The results show that the posting frequency of all the analysed e-shops is between 1.5–4 days. The e-shops vary in the most frequent types of posts. Posts that elicited the highest numbers of reactions were characteristic with their viral nature. A strong, statistically significant correlation between the number of fans of the fan page and the frequency of their reactions to the posts was found. Conclusions: All of the analysed e-shops should increase the frequency of contact with their fans through more frequent posting and modification in the content of the posts. Based on findings, the several suggestions for effective and successful managing the Facebook activities are served.

  14. 4-Alkylated homoibotenic acid (HIBO) analogues: versatile pharmacological agents with diverse selectivity profiles towards metabotropic and ionotropic glutamate receptor subtypes

    DEFF Research Database (Denmark)

    Madsen, Ulf; Pickering, Darryl S; Nielsen, Birgitte

    2005-01-01

    4-Alkylated analogues of homoibotenic acid (HIBO) have previously shown high potency and selectivity at ionotropic and metabotropic glutamic acid receptor (iGluR and mGluR) subtypes. Compounds with different selectivity profiles are valuable pharmacological tools for neuropharmacological studies...

  15. Use of the "Intervention Selection Profile-Social Skills" to Identify Social Skill Acquisition Deficits: A Preliminary Validation Study

    Science.gov (United States)

    Kilgus, Stephen P.; von der Embse, Nathaniel P.; Scott, Katherine; Paxton, Sara

    2015-01-01

    The purpose of this investigation was to develop and initially validate the "Intervention Selection Profile-Social Skills" (ISP-SS), a novel brief social skills assessment method intended for use at Tier 2. Participants included 54 elementary school teachers and their 243 randomly selected students. Teachers rated students on two rating…

  16. The photon identification loophole in EPRB experiments: computer models with single-wing selection

    Directory of Open Access Journals (Sweden)

    De Raedt Hans

    2017-11-01

    Full Text Available Recent Einstein-Podolsky-Rosen-Bohm experiments [M. Giustina et al. Phys. Rev. Lett. 115, 250401 (2015; L. K. Shalm et al. Phys. Rev. Lett. 115, 250402 (2015] that claim to be loophole free are scrutinized. The combination of a digital computer and discrete-event simulation is used to construct a minimal but faithful model of the most perfected realization of these laboratory experiments. In contrast to prior simulations, all photon selections are strictly made, as they are in the actual experiments, at the local station and no other “post-selection” is involved. The simulation results demonstrate that a manifestly non-quantum model that identifies photons in the same local manner as in these experiments can produce correlations that are in excellent agreement with those of the quantum theoretical description of the corresponding thought experiment, in conflict with Bell’s theorem which states that this is impossible. The failure of Bell’s theorem is possible because of our recognition of the photon identification loophole. Such identification measurement-procedures are necessarily included in all actual experiments but are not included in the theory of Bell and his followers.

  17. Affinity chromatographic selection of carbonylated proteins followed by identification of oxidation sites using tandem mass spectrometry.

    Science.gov (United States)

    Mirzaei, Hamid; Regnier, Fred

    2005-04-15

    It has been shown that oxidatively modified forms of proteins accumulate during oxidative stress, aging, and in some age-related diseases. One of the unique features of a wide variety of routes by which proteins are oxidized is the generation of carbonyl groups. This paper reports a method for the isolation of oxidized proteins, which involves (1) biotinylation of oxidized proteins with biotin hydrazide and (2) affinity enrichment using monomeric avidin affinity chromatography columns. The selectivity of the method was validated by adding in vitro oxidized biotinylated BSA to a yeast lysate and showing that the predominant protein recovered was BSA. This method was applied to the question of whether large doses of 2-nitropropane produce oxidized proteins. A study of rat liver homogenates showed that animals dosed with 2-nitropropane produced 17 times more oxidized protein than controls in 6 h. Tryptic digestion of these oxidized proteins followed by reversed-phase chromatography and tandem mass spectrometry led to the identification of 14 peptides and their parent proteins. Nine of the 14 identified peptides were found to carry 1 or 2 oxidation sites and 5 of the 9 peptides were biotinylated. The significance of this affinity method is that it allows the isolation of oxidized proteins from the rest of the proteome and facilitates their identification. In some cases, it is even possible to identify the site of oxidation.

  18. Terverticillate penicillia studied by direct electrospray mass spectrometric profiling of crude extracts II. Database and identification

    DEFF Research Database (Denmark)

    Smedsgaard, Jørn

    1997-01-01

    A mass spectral database was built using standard instrument software from 678 electrospray mass spectra (mass profiles) from crude fungal extracts of terverticillate taxa within the genus Penicillium. The match factors calculated from searching all the mass profiles stored in the database were u...

  19. Divergent selection for residual feed intake affects the transcriptomic and proteomic profiles of pig skeletal muscle.

    Science.gov (United States)

    Vincent, A; Louveau, I; Gondret, F; Tréfeu, C; Gilbert, H; Lefaucheur, L

    2015-06-01

    Improving feed efficiency is a relevant strategy to reduce feed cost and environmental waste in livestock production. Selection experiments on residual feed intake (RFI), a measure of feed efficiency, previously indicated that low RFI was associated with lower feed intake, similar growth rate, and greater lean meat content compared with high RFI. To gain insights into the molecular mechanisms underlying these differences, 24 Large White females from 2 lines divergently selected for RFI were examined. Pigs from a low-RFI ("efficient") and high-RFI ("inefficient") line were individually fed ad libitum from 67 d of age (27 kg BW) to slaughter at 115 kg BW (n = 8 per group). Additional pigs of the high-RFI line were feed restricted to the daily feed intake of the ad libitum low-RFI pigs (n = 8) to investigate the impact of selection independently of feed intake. Global gene and protein expression profiles were assessed in the LM collected at slaughter. The analyses involved a porcine commercial microarray and 2-dimensional gel electrophoresis. About 1,000 probes were differentially expressed (P energy metabolism in the low-RFI pigs compared with the high-RFI pigs. At the protein level, 11 unique identified proteins exhibited a differential abundance (P intake.

  20. Parameter Identification of PMSM Using Immune Clonal Selection Differential Evolution Algorithm

    Directory of Open Access Journals (Sweden)

    Guohan Lin

    2014-01-01

    Full Text Available Permanent magnet synchronous motor (PMSM models with accurate parameters are crucial to high performance PMSM control system designs. As the estimation of PMSM parameters is very difficult due to the nonlinear model complexity, a novel immune clonal differential evolution algorithm (ICDEA is proposed to identify the electrical parameters of nonsalient pole PMSM. Clonal selection and receptor editing mechanism are introduced to ICDEA to increase the diversity of the population and improve searching capability. The effectiveness of the proposed identification method is verified by both simulation and experiment. The results show that the proposed algorithm has good convergence in simultaneously estimating stator resistance, dq-axis inductances, and rotor flux linkage. In addition, the convergence speed of ICDEA is compared with other differential evolution (DE algorithms, which verifies that the ICDEA has better performances in global searching.

  1. Gene expression analysis for the identification of selection and local adaptation in fishes

    DEFF Research Database (Denmark)

    Larsen, Peter Foged; Schulte, P.M.; Eg Nielsen, Einar

    2011-01-01

    In recent years, variation in gene expression has been recognized as an important component of environmental adaptation in multiple model species, including a few fish species. There is, however, still little known about the genetic basis of adaptation in gene expression resulting from variation...... expression analysis. It is emphasized that well-planned gene expression studies can serve as an important tool for the identification of selection in local populations of fishes, even for non-traditional model species where limited genomic information is available. Recent studies focusing on gene expression...... in the aquatic environment (e.g. temperature, salinity and oxygen) and the physiological effect and costs of such differences in gene expression. This review presents and discusses progress and pitfalls of applying gene expression analyses to fishes and suggests simple frameworks to get started with gene...

  2. Identification of some Fusarium species from selected crop seeds using traditional method and BIO-PCR

    Directory of Open Access Journals (Sweden)

    Tomasz Kulik

    2012-12-01

    Full Text Available We identified a species level of the fungal cultures isolated from selected crop seeds using traditional method and BIO-PCR. The use of BIO-PCR did not correspond completely to the morphological analyses. Both methods showed increased infection with F. poae in winter wheat seed sample originated from north Poland. Fungal culture No 40 (isolated from faba bean and identified with traditional method as mixed culture with F. culmorum and F. graminearum did not produce expected product after PCR reaction with species specific primers OPT18F470, OPT18R470. However, the use of additional primers Fc01F, Fc01R allowed for reliable identification of F. culmorum in the culture.

  3. Long-term forecasting of hourly electricity load: Identification of consumption profiles and segmentation of customers

    DEFF Research Database (Denmark)

    Møller Andersen, Frits; Larsen, Helge V.; Boomsma, Trine Krogh

    2013-01-01

    Data for aggregated hourly electricity demand shows systematic variations over the day, week, and seasons, and forecasting of aggregated hourly electricity load has been the subject of many studies. With hourly metering of individual customers, data for individual consumption profiles is available....... Using this data and analysing the case of Denmark, we show that consumption profiles for categories of customers are equally systematic but very different for distinct categories, that is, distinct categories of customers contribute differently to the aggregated electricity load profile. Therefore......, to model and forecast long-term changes in the aggregated electricity load profile, we identify profiles for different categories of customers and link these to projections of the aggregated annual consumption by categories of customers. Long-term projection of the aggregated load is important for future...

  4. Selecting Effective Means to Any End: Futures and Ethics of Persuasion Profiling

    Science.gov (United States)

    Kaptein, Maurits; Eckles, Dean

    Interactive persuasive technologies can and do adapt to individuals. Existing systems identify and adapt to user preferences within a specific domain: e.g., a music recommender system adapts its recommended songs to user preferences. This paper is concerned with adaptive persuasive systems that adapt to individual differences in the effectiveness of particular means, rather than selecting different ends. We give special attention to systems that implement persuasion profiling - adapting to individual differences in the effects of influence strategies. We argue that these systems are worth separate consideration and raise unique ethical issues for two reasons: (1) their end-independence implies that systems trained in one context can be used in other, unexpected contexts and (2) they do not rely on - and are generally disadvantaged by - disclosing that they are adapting to individual differences. We use examples of these systems to illustrate some ethically and practically challenging futures that these characteristics make possible.

  5. One Dimensional Capacitive Loading in a Frequency Selective Surface for Low Profile Antenna Applications

    Science.gov (United States)

    Cure, David; Weller, Thomas; Miranda, Felix A.; Herzig, Paul

    2011-01-01

    In this paper, the impact of adding discrete capacitive loading along one dimension of a frequency selective surface for low profile antenna applications is presented for the first time. The measured data demonstrates comparable performance between a non-loaded and a capacitively-loaded FSS with a significant reduction in the number of cells and/or cell geometry size. Additionally, the provision of discrete capacitive loads reduces the FSS susceptibility to fabrication tolerances based on placement of a fixed grid capacitance. The bandwidth increased from 1.8% to 7.3% for a total antenna thickness of approx. lambda/22, and from 1.5% to 9.2% for a thickness of approx. lambda/40. The total antenna area for each case was reduced by 55% and 12%, respectively.

  6. Assessing peripheral blood cell profile of Yorkshire pigs divergently selected for residual feed intake.

    Science.gov (United States)

    Mpetile, Z; Young, J M; Gabler, N K; Dekkers, J C M; Tuggle, C K

    2015-03-01

    The cost of feed is a serious issue in the pork industry, contributing about 65 to 75% of the total production cost. To prevent economic losses and decreased productivity of the herd, it is important to select for animals that eat less for the same lean gain, or more efficient animals. Residual feed intake (RFI) is the difference between observed feed intake and expected feed intake based on estimated maintenance and production requirements. Selection for decreased RFI, or more efficient animals, is a potential solution to higher feed costs in pig production. However, animals that are highly selected for decreased RFI may have reduced energy input to the immune system and fail to withstand diseases and stressors after infection that negatively impact profitability. The objective of this study was to evaluate differences in circulating blood cell profiles at a young age between 2 lines of Yorkshire pigs that were divergently selected for RFI as well as the heritability of these traits, to investigate effects of selection for RFI on immune system parameters, and to identify potential biomarkers for feed efficiency. Previous work has shown that the 2 lines had diverged for IGF-1 in serum in young pigs and, therefore, this stage was investigated for other potential physiological differences. Blood samples were drawn for a complete blood count (CBC) analysis from 517 gilts and barrows, ages 35 to 42 d, across the 2 lines. In general, the low-RFI line had lower numbers of specific types of white blood cells but higher hemoglobin concentration and red blood cell volume compared to the high-RFI line. No significant correlations were found between CBC traits and RFI across and within the lines (0.05 < < 0.1). Of the 15 CBC traits that were measured, 3 were highly heritable (0.56 < < 0.62), 9 were moderately heritable (0.12 < < 0.47), and 3 were lowly heritable ( < 0.12), suggesting a substantial genetic component for CBC traits and that selection for CBC traits could be

  7. Plasma amino acid profiling in major depressive disorder treated with selective serotonin reuptake inhibitors.

    Science.gov (United States)

    Woo, Hye-In; Chun, Mi-Ryung; Yang, Jeong-Soo; Lim, Shinn-Won; Kim, Min-Ji; Kim, Seon-Woo; Myung, Woo-Jae; Kim, Doh-Kwan; Lee, Soo-Youn

    2015-05-01

    Amino acids are important body metabolites and seem to be helpful for understanding pathogenesis and predicting therapeutic response in major depressive disorder (MDD). We performed amino acid profiling to discover potential biomarkers in major depressive patients treated with selective serotonin reuptake inhibitors (SSRIs). Amino acid profiling using aTRAQ™ kits for Amino Acid Analysis in Physiological Fluids on a liquid chromatography-tandem mass spectrometry (LC-MS/MS) system was performed on 158 specimens at baseline and at 6 weeks after the initiation of SSRI treatment for 68 patients with MDD and from 22 healthy controls. Baseline alpha-aminobutyric acid (ABA) discriminated the patients according to the therapeutic response. Plasma glutamic acid concentration and glutamine/glutamic acid ratio were different between before and after SSRI treatment only in the response group. Comparing patients with MDD with healthy controls, alterations of ten amino acids, including alanine, beta-alanine, beta-aminoisobutyric acid, cystathionine, ethanolamine, glutamic acid, homocystine, methionine, O-phospho-L-serine, and sarcosine, were observed in MDD. Metabolism of amino acids, including ABA and glutamic acid, has the potential to contribute to understandings of pathogenesis and predictions of therapeutic response in MDD. © 2015 John Wiley & Sons Ltd.

  8. Triticale crisp bread enriched with selected bioactive additives: volatile profile, physical characteristics, sensory and nutritional properties.

    Science.gov (United States)

    Makowska, Agnieszka; Majcher, Małgorzata; Mildner-Szkudlarz, Sylwia; Jedrusek-Golinska, Anna; Przygoński, Krzysztof

    2017-09-01

    The effect of selected plant additives (couch grass, artichoke, kale, nettle, ground buckwheat husks, broad beans, fenugreek seeds, and extracts of yellow tea and mulberry leaf) on the volatile compounds, color, texture, sensory attributes, polyphenols, and antioxidant properties of triticale crisp bread was studied. The volatile profile of control bread was dominated by lipid oxidation products with hexanal and (E)-2-nonenal predominant. The additives strongly modified the volatile profile of the extruded crisp bread. The greatest differences were recorded in the case of products with artichoke and kale additions, which had respectively about 12 and 8 times higher levels of total volatile compounds than the control crisp bread. The samples containing kale, buckwheat, and fenugreek as well as yellow tea extract characterized high levels of sulfur compounds, with methanethiol predominant. The additives, especially kale, nettle, and artichoke affected the color of the crisp breads, in most cases making them darker. In terms of texture only the crisp bread with addition of buckwheat husk was significantly harder than the control sample. On the basis of sensory evaluation it was stated that among all the additives, the artichoke and fenugreek resulted in dramatic deterioration in the extruded product taste. The used additives also affected the antioxidant properties of triticale crisp bread. The greatest content of total phenolic compounds and the highest antioxidant activity were observed for the bread with yellow tea extract addition (3.5- and 6.5-fold higher, respectively, than in control sample).

  9. Personal profile of medical students selected through a knowledge-based exam only: are we missing suitable students?

    OpenAIRE

    Abbiati, Milena; Baroffio, Anne; Gerbase, Margaret W.

    2016-01-01

    Introduction: A consistent body of literature highlights the importance of a broader approach to select medical school candidates both assessing cognitive capacity and individual characteristics. However, selection in a great number of medical schools worldwide is still based on knowledge exams, a procedure that might neglect students with needed personal characteristics for future medical practice. We investigated whether the personal profile of students selected through a knowledge-based ex...

  10. Expression profile of genes during resistance reversal in a temephos selected strain of the dengue vector, Aedes aegypti.

    Directory of Open Access Journals (Sweden)

    Clare Strode

    Full Text Available BACKGROUND: The mosquito Aedes aegypti is one of the most important disease vectors because it transmits two major arboviruses, dengue and yellow fever, which cause significant global morbidity and mortality. Chemical insecticides form the cornerstone of vector control. The organophosphate temephos a larvicide recommended by WHO for controlling Ae. aegypti, however, resistance to this compound has been reported in many countries, including Brazil. METHODOLOGY/PRINCIPAL FINDINGS: The aim of this study was to identify genes implicated in metabolic resistance in an Ae. aegypti temephos resistant strain, named RecR, through microarray analysis. We utilized a custom 'Ae. aegypti detox chip' and validated microarray data through RT-PCR comparing susceptible and resistant individuals. In addition, we analyzed gene expression in 4(th instar larvae from a reversed susceptible strain (RecRev, exposed and unexposed to temephos. The results obtained revealed a set of 13 and 6 genes significantly over expressed in resistant adult mosquitoes and larvae, respectively. One of these genes, the cytochrome P450 CYP6N12, was up-regulated in both stages. RT-PCR confirmed the microarray results and, additionally, showed no difference in gene expression between temephos exposed and unexposed RecRev mosquitoes. This suggested that the differences in the transcript profiles among the strains are heritable due to a selection process and are not caused by immediate insecticide exposure. Reversal of temephos resistance was demonstrated and, importantly, there was a positive correlation between a decrease in the resistance ratio and an accompanying decrease in the expression levels of previously over expressed genes. Some of the genes identified here have also been implicated in metabolic resistance in other mosquito species and insecticide resistant populations of Ae. aegypti. CONCLUSIONS/SIGNIFICANCE: The identification of gene expression signatures associated to

  11. Waste processing: new near infrared technologies for material identification and selection

    Science.gov (United States)

    Cesetti, M.; Nicolosi, P.

    2016-09-01

    The awareness of environmental issues on a global scale increases the opportunities for waste handling companies. Recovery is set to become all the more important in areas such as waste selection, minerals processing, electronic scrap, metal and plastic recycling, refuse and the food industry. Effective recycling relies on effective sorting. Sorting is a fundamental step of the waste disposal/recovery process. The big players in the sorting market are pushing for the development of new technologies to cope with literally any type of waste. The purpose of this tutorial is to gain an understanding of waste management, frameworks, strategies, and components that are current and emerging in the field. A particular focus is given to spectroscopic techniques that pertains the material selection process with a greater emphasis placed on the NIR technology for material identification. Three different studies that make use of NIR technology are shown, they are an example of some of the possible applications and the excellent results that can be achieved with this technique.

  12. Primary selection into shift work and change of cardiovascular risk profile.

    Science.gov (United States)

    Yong, Mei; Germann, Christina; Lang, Stefan; Oberlinner, Christoph

    2015-05-01

    A potential "healthy shift worker effect" may bias the studied effect of shift work on health. The observed differences among shift and day workers in health behavior and health outcomes can be caused by: (i) primary selection, (ii) the influence from the shift work-related environment, and (iii) the impact of shift work. We aimed to study these potential sources. A cohort of 4754 male trainees who had finished their professional training and started their career in production in a chemical company between 1995 and 2012 was identified. Among them, 1348 (28%) were involved in rotating shift work and 3406 (72%) in day work. Information on health behavior and risk factors for cardiovascular diseases was retrieved from the medical examinations. This information was then compared (i) at the beginning of training, (ii) at the end of training, and (iii) 3 years after the employment, in relation to the working time. At the beginning of the training, the prevalence of smokers was higher among future shift workers (26% versus 21%), from 1995 to 2012. During the training and the first three years of employment, a marginal decline of systolic blood pressure and an elevation of triglyceride were related with shift work. No difference was found with respect to other risk factors for cardiovascular diseases. Our findings do not support a primary selection in favor of shift workers. An impact of shift work on the risk profile of cardiovascular diseases was not indicated in the observation period.

  13. Transcriptome profile and unique genetic evolution of positively selected genes in yak lungs.

    Science.gov (United States)

    Lan, DaoLiang; Xiong, XianRong; Ji, WenHui; Li, Jian; Mipam, Tserang-Donko; Ai, Yi; Chai, ZhiXin

    2017-12-28

    The yak (Bos grunniens), which is a unique bovine breed that is distributed mainly in the Qinghai-Tibetan Plateau, is considered a good model for studying plateau adaptability in mammals. The lungs are important functional organs that enable animals to adapt to their external environment. However, the genetic mechanism underlying the adaptability of yak lungs to harsh plateau environments remains unknown. To explore the unique evolutionary process and genetic mechanism of yak adaptation to plateau environments, we performed transcriptome sequencing of yak and cattle (Bos taurus) lungs using RNA-Seq technology and a subsequent comparison analysis to identify the positively selected genes in the yak. After deep sequencing, a normal transcriptome profile of yak lung that containing a total of 16,815 expressed genes was obtained, and the characteristics of yak lungs transcriptome was described by functional analysis. Furthermore, Ka/Ks comparison statistics result showed that 39 strong positively selected genes are identified from yak lungs. Further GO and KEGG analysis was conducted for the functional annotation of these genes. The results of this study provide valuable data for further explorations of the unique evolutionary process of high-altitude hypoxia adaptation in yaks in the Tibetan Plateau and the genetic mechanism at the molecular level.

  14. Identification of novel candidate genes for follicle selection in the broiler breeder ovary

    Science.gov (United States)

    2012-01-01

    Background Broiler breeders fed ad libitum are characterised by multiple ovulation, which leads to poor shell quality and egg production. Multiple ovulation is controlled by food restriction in commercial flocks. However, the level of food restriction raises welfare concerns, including that of severe hunger. Reducing the rate of multiple ovulation by genetic selection would facilitate progress towards developing a growth profile for optimum animal welfare. Results The study utilised 3 models of ovarian follicle development; laying hens fed ad libitum (experiment 2) and broiler breeders fed ad libitum or a restricted diet (experiments 1 & 3). This allowed us to investigate gene candidates for follicular development by comparing normal, abnormal and “controlled” follicle hierarchies at different stages of development. Several candidate genes for multiple ovulation were identified by combining microarray analysis of restricted vs. ad libitum feeding, literature searches and QPCR expression profiling throughout follicle development. Three candidate genes were confirmed by QPCR as showing significant differential expression between restricted and ad libitum feeding: FSHR, GDF9 and PDGFRL. PDGFRL, a candidate for steroidogenesis, showed significantly up-regulated expression in 6–8 mm follicles of ad libitum fed broiler breeders (P = 0.016), the period at which follicle recruitment occurs. Conclusions Gene candidates have been identified and evidence provided to support a possible role in regulation of ovarian function and follicle number. Further characterisation of these genes will be required to assess their potential for inclusion into breeding programmes to improve the regulation of follicle selection and reduce the need for feed restriction. PMID:22992265

  15. The Relationship between Music Education Majors' Personality Profiles, Other Education Majors' Profiles, and Selected Indicators of Music Teaching Success.

    Science.gov (United States)

    Bergee, Martin J.

    1992-01-01

    Presents findings of a comparison of the personality profiles of music educators with indicators of teaching success. Reports that application of the Missouri Pre-Professional Teacher Interview (MPTI) showed that music teachers scored relatively well on "stimulator,""developer," and "command" themes but less well on…

  16. Identification and expression profile of GbAGL2, a C-class gene from ...

    Indian Academy of Sciences (India)

    Home; Journals; Journal of Biosciences; Volume 34; Issue 6. Identification and ... Alignment and phylogenetic analysis indicated that GbAGL2 shared high homology with AG-subfamily genes and belonged to a C-class gene family. DNA gel blot analysis showed that GbAGL2 belonged to a low-copy gene family. Reverse ...

  17. Gene Expression Profiling for In Silico Microdissection of Hodgkin's Lymphoma Microenvironment and Identification of Prognostic Features

    Directory of Open Access Journals (Sweden)

    François Bertucci

    2011-01-01

    Full Text Available Gene expression profiling studies based on DNA microarrays have demonstrated their ability to define the interaction pathways between neoplastic and nonmalignant stromal cells in cancer tissues. During the past ten years, a number of approaches including microdissection have tried to resolve the variability in DNA microarray measurements stemming from cancer tissue sample heterogeneity. Another approach, designated as virtual or in silico microdissection, avoids the laborious and time-consuming step of anatomic microdissection. It consists of confronting the gene expression profiles of complex tissue samples to those of cell lines representative of different cell lineages, different differentiation stages, or different signaling pathways. This strategy has been used in recent studies aiming to analyze microenvironment alterations using gene expression profiling of nonmicrodissected classical Hodgkin lymphoma tissues in order to generate new prognostic factors. These recent contributions are detailed and discussed in the present paper.

  18. Preliminary Identification of Coping Profiles Relevant to Surrogate Decision Making in the ICU.

    Directory of Open Access Journals (Sweden)

    Jorie M Butler

    Full Text Available The Intensive Care Unit (ICU is a stressful environment for families of critically ill patients and these individuals are at risk to develop persistent psychological morbidity. Our study objective was to identify individual differences in coping with stress and information presentation preferences of respondents exposed to a simulated ICU experience.Participants were recruited from a university and two community populations. Participants completed questionnaires that measured demographic information and characteristics that may be relevant to an individual's ICU experience. Quality of life was measured by the EQ-5D, personality dimensions were examined with the abbreviated Big Five inventory, coping with stress was assessed with Brief COPE. Shared decision making preferences were assessed by the Degner Control Preferences Scale (CPS and information seeking style was assessed with the Miller Behavioral Style Scale (MBSS. Social support was examined using an abbreviated version of the Social Relationship Index. Participants also completed a vignette-based simulated ICU experience, in which they made a surrogate decision on behalf of a loved one in the ICU.Three hundred forty-three participants completed the study. Three distinct coping profiles were identified: adaptive copers, maladaptive copers, and disengaged copers. Profiles differed primarily on coping styles, personality, quality of their closest social relationship, and history of anxiety and depression. Responses to the simulated ICU decision making experience differed across profiles. Disengaged copers (15% were more likely to elect to refuse dialysis on behalf of an adult sibling compared to adaptive copers (7% or maladaptive copers (5% (p = 0.03. Notably, the MBSS and the CPS did not differ by coping profile.Distinct coping profiles are associated with differences in responses to a simulated ICU experience. Tailoring communication and support to specific coping profiles may represent an

  19. Identification, typing, antifungal resistance profile, and biofilm formation of Candida albicans isolates from Lebanese hospital patients.

    Science.gov (United States)

    Bitar, Ibrahim; Khalaf, Roy A; Harastani, Houda; Tokajian, Sima

    2014-01-01

    As leading opportunistic fungal pathogens identification and subtyping of Candida species are crucial in recognizing outbreaks of infection, recognizing particularly virulent strains, and detecting the emergence of drug resistant strains. In this study our objective was to compare identification of Candida albicans by the hospitals through the use of conventional versus identification based on the ITS (Internal Transcribed Spacer) and to assess biofilm forming capabilities, drug resistance patterns and correlate these with MLST typing. ITS typing revealed a 21.2% hospital misidentification rate. Multidrug resistance to three drugs out of four tested was detected within 25% of the isolates raising concerns about the followed treatment regimens. Drug resistant strains as well as biofilm formers were phylogenetically related, with some isolates with significant biofilm forming capabilities being correlated to those that were multidrug resistant. Such isolates were grouped closely together in a neighbor-joining tree generated by MLST typing indicating phylogenetic relatedness, microevolution, or recurrent infection. In conclusion, this pilot study gives much needed insight concerning C. albicans isolates circulating in Lebanese hospitals and is the first study of its kind correlating biofilm formation, antifungal resistance, and evolutionary relatedness.

  20. Protein profile of human hepatocarcinoma cell line SMMC-7721: Identification and functional analysis

    OpenAIRE

    Feng, Yi; Tian, Zhong-Min; Wan, Ming-Xi; Zheng, Zhao-Bin

    2007-01-01

    AIM: To investigate the protein profile of human hepatocarcinoma cell line SMMC-7721, to analyze the specific functions of abundant expressed proteins in the processes of hepatocarcinoma genesis, growth and metastasis, to identify the hepatocarcinoma-specific biomarkers for the early prediction in diagnosis, and to explore the new drug targets for liver cancer therapy.

  1. Data-driven atypical profiles of depressive symptoms : Identification and validation in a large cohort

    NARCIS (Netherlands)

    Wanders, Rob B. K.; Wardenaar, Klaas J.; Penninx, Brenda W. J. H.; Meijer, Rob R.; de Jonge, Peter

    2015-01-01

    BACKGROUND: Atypical response behavior on depression questionnaires may invalidate depression severity measurements. This study aimed to identify and investigate atypical profiles of depressive symptoms using a data-driven approach based on the item response theory (IRT). METHODS: A large cohort of

  2. Identification of drug targets by chemogenomic and metabolomic profiling in yeast

    KAUST Repository

    Wu, Manhong

    2012-12-01

    OBJECTIVE: To advance our understanding of disease biology, the characterization of the molecular target for clinically proven or new drugs is very important. Because of its simplicity and the availability of strains with individual deletions in all of its genes, chemogenomic profiling in yeast has been used to identify drug targets. As measurement of drug-induced changes in cellular metabolites can yield considerable information about the effects of a drug, we investigated whether combining chemogenomic and metabolomic profiling in yeast could improve the characterization of drug targets. BASIC METHODS: We used chemogenomic and metabolomic profiling in yeast to characterize the target for five drugs acting on two biologically important pathways. A novel computational method that uses a curated metabolic network was also developed, and it was used to identify the genes that are likely to be responsible for the metabolomic differences found. RESULTS AND CONCLUSION: The combination of metabolomic and chemogenomic profiling, along with data analyses carried out using a novel computational method, could robustly identify the enzymes targeted by five drugs. Moreover, this novel computational method has the potential to identify genes that are causative of metabolomic differences or drug targets. © 2012 Wolters Kluwer Health | Lippincott Williams & Wilkins.

  3. Biotransformation and in vivo stability of protein biotherapeutics: impact on candidate selection and pharmacokinetic profiling.

    Science.gov (United States)

    Hall, Michael P

    2014-11-01

    Historically, since the metabolism of administered peptide/protein drugs ("biotherapeutics") has been expected to undergo predictable pathways similar to endogenous proteins, comprehensive biotherapeutic metabolism studies have not been widely reported in the literature. However, since biotherapeutics have rapidly evolved into an impressive array of eclectic modalities, there has been a shift toward understanding the impact of metabolism on biotherapeutic development. For biotherapeutics containing non-native chemical linkers and other moieties besides natural amino acids, metabolism studies are critical as these moieties may impart undesired toxicology. For biotherapeutics that are composed solely of natural amino acids, where end-stage peptide and amino acid catabolites do not generally pose toxicity concerns, the understanding of biotherapeutic biotransformation, defined as in vivo modifications such as peripherally generated intermediate circulating catabolites prior to end-stage degradation or elimination, may impact in vivo stability and potency/clearance. As of yet, there are no harmonized methodologies for understanding biotherapeutic biotransformation and its impact on drug development, nor is there clear guidance from regulatory agencies on how and when these studies should be conducted. This review provides an update on biotherapeutic biotransformation studies and an overview of lessons learned, tools that have been developed, and suggestions of approaches to address issues. Biotherapeutic biotransformation studies, especially for certain modalities, should be implemented at an early stage of development to 1) understand the impact on potency/clearance, 2) select the most stable candidates or direct protein re-engineering efforts, and 3) select the best bioanalytical technique(s) for proper drug quantification and subsequent pharmacokinetic profiling and exposure/response assessment. Copyright © 2014 by The American Society for Pharmacology and

  4. Metabolic Profiling and Identification of Shikonins in Root Periderm of Two Invasive Echium spp. Weeds in Australia

    Directory of Open Access Journals (Sweden)

    Dominik Skoneczny

    2017-02-01

    Full Text Available Metabolic profiling can be successfully implemented to analyse a living system’s response to environmental conditions by providing critical information on an organism’s physiological state at a particular point in time and allowing for both quantitative and qualitative assessment of a specific subset(s of key metabolites. Shikonins are highly reactive chemicals that affect various cell signalling pathways and possess antifungal, antibacterial and allelopathic activity. Based on previous bioassay results, bioactive shikonins, are likely to play important roles in the regulation of rhizosphere interactions with neighbouring plants, microbes and herbivores. An effective platform allowing for rapid identification and accurate profiling of numerous structurally similar, difficult-to-separate bioactive isohexenylnaphthazarins (shikonins was developed using UHPLC Q-TOF MS. Root periderm tissues of the invasive Australian weeds Echium plantagineum and its congener E. vulgare were extracted overnight in ethanol for shikonin profiling. Shikonin production was evaluated at seedling, rosette and flowering stages. Five populations of each species were compared for qualitative and quantitative differences in shikonin formation. Each species showed little populational variation in qualitative shikonin production; however, shikonin was considerably low in one population of E. plantagineum from Western New South Wales. Seedlings of all populations produced the bioactive metabolite acetylshikonin and production was upregulated over time. Mature plants of both species produced significantly higher total levels of shikonins and isovalerylshikonin > dimethylacrylshikonin > shikonin > acetylshikonin in mature E. plantagineum. Although qualitative metabolic profiles in both Echium spp. were nearly identical, shikonin abundance in mature plant periderm was approximately 2.5 times higher in perennial E. vulgare extracts in comparison to those of the annual E

  5. Metabolic Profiling and Identification of Shikonins in Root Periderm of Two Invasive Echium spp. Weeds in Australia.

    Science.gov (United States)

    Skoneczny, Dominik; Weston, Paul A; Zhu, Xiaocheng; Gurr, Geoff M; Callaway, Ragan M; Barrow, Russel A; Weston, Leslie A

    2017-02-21

    Metabolic profiling can be successfully implemented to analyse a living system's response to environmental conditions by providing critical information on an organism's physiological state at a particular point in time and allowing for both quantitative and qualitative assessment of a specific subset(s) of key metabolites. Shikonins are highly reactive chemicals that affect various cell signalling pathways and possess antifungal, antibacterial and allelopathic activity. Based on previous bioassay results, bioactive shikonins, are likely to play important roles in the regulation of rhizosphere interactions with neighbouring plants, microbes and herbivores. An effective platform allowing for rapid identification and accurate profiling of numerous structurally similar, difficult-to-separate bioactive isohexenylnaphthazarins (shikonins) was developed using UHPLC Q-TOF MS. Root periderm tissues of the invasive Australian weeds Echium plantagineum and its congener E. vulgare were extracted overnight in ethanol for shikonin profiling. Shikonin production was evaluated at seedling, rosette and flowering stages. Five populations of each species were compared for qualitative and quantitative differences in shikonin formation. Each species showed little populational variation in qualitative shikonin production; however, shikonin was considerably low in one population of E. plantagineum from Western New South Wales. Seedlings of all populations produced the bioactive metabolite acetylshikonin and production was upregulated over time. Mature plants of both species produced significantly higher total levels of shikonins and isovalerylshikonin > dimethylacrylshikonin > shikonin > acetylshikonin in mature E. plantagineum. Although qualitative metabolic profiles in both Echium spp. were nearly identical, shikonin abundance in mature plant periderm was approximately 2.5 times higher in perennial E. vulgare extracts in comparison to those of the annual E. plantagineum. These findings

  6. Identification of pummelo cultivars by using a panel of 25 selected SNPs and 12 DNA segments.

    Directory of Open Access Journals (Sweden)

    Bo Wu

    Full Text Available Pummelo cultivars are usually difficult to identify morphologically, especially when fruits are unavailable. The problem was addressed in this study with the use of two methods: high resolution melting analysis of SNPs and sequencing of DNA segments. In the first method, a set of 25 SNPs with high polymorphic information content were selected from SNPs predicted by analyzing ESTs and sequenced DNA segments. High resolution melting analysis was then used to genotype 260 accessions including 55 from Myanmar, and 178 different genotypes were thus identified. A total of 99 cultivars were assigned to 86 different genotypes since the known somatic mutants were identical to their original genotypes at the analyzed SNP loci. The Myanmar samples were genotypically different from each other and from all other samples, indicating they were derived from sexual propagation. Statistical analysis showed that the set of SNPs was powerful enough for identifying at least 1000 pummelo genotypes, though the discrimination power varied in different pummelo groups and populations. In the second method, 12 genomic DNA segments of 24 representative pummelo accessions were sequenced. Analysis of the sequences revealed the existence of a high haplotype polymorphism in pummelo, and statistical analysis showed that the segments could be used as genetic barcodes that should be informative enough to allow reliable identification of 1200 pummelo cultivars. The high level of haplotype diversity and an apparent population structure shown by DNA segments and by SNP genotypes, respectively, were discussed in relation to the origin and domestication of the pummelo species.

  7. Identification of bacteriophage virion proteins by the ANOVA feature selection and analysis.

    Science.gov (United States)

    Ding, Hui; Feng, Peng-Mian; Chen, Wei; Lin, Hao

    2014-08-01

    The bacteriophage virion proteins play extremely important roles in the fate of host bacterial cells. Accurate identification of bacteriophage virion proteins is very important for understanding their functions and clarifying the lysis mechanism of bacterial cells. In this study, a new sequence-based method was developed to identify phage virion proteins. In the new method, the protein sequences were initially formulated by the g-gap dipeptide compositions. Subsequently, the analysis of variance (ANOVA) with incremental feature selection (IFS) was used to search for the optimal feature set. It was observed that, in jackknife cross-validation, the optimal feature set including 160 optimized features can produce the maximum accuracy of 85.02%. By performing feature analysis, we found that the correlation between two amino acids with one gap was more important than other correlations for phage virion protein prediction and that some of the 1-gap dipeptides were important and mainly contributed to the virion protein prediction. This analysis will provide novel insights into the function of phage virion proteins. On the basis of the proposed method, an online web-server, PVPred, was established and can be freely accessed from the website (http://lin.uestc.edu.cn/server/PVPred). We believe that the PVPred will become a powerful tool to study phage virion proteins and to guide the related experimental validations.

  8. Oligo-dT selected spermatozoal transcript profiles differ among higher and lower fertility dairy sires.

    Science.gov (United States)

    Card, C J; Krieger, K E; Kaproth, M; Sartini, B L

    2017-02-01

    Spermatozoal messenger RNA (mRNA) has the potential as a molecular marker for sire fertility because this population can reflect gene expression that occurred during spermatogenesis and may have a functional role in early embryonic development. The goal of this study was to compare the oligo-dT selected spermatozoal transcript profiles of higher fertility (Conception Rate (CR) 1.8-3.5) and lower fertility (CR -2.9 to -0.4) sires using Ribonucleic Acid Sequencing (RNA-Seq). A total of 3227 transcripts and 5366 transcripts were identified in the higher and lower fertility populations, respectively. While common transcripts between the two populations were identified (2422 transcripts), several transcripts were also unique to the fertility populations including 805 transcripts that were unique to the higher fertility population and 2944 transcripts that were unique to the lower fertility population. From gene ontological analysis, the transcripts unique to each fertility population differed in Biological Processes (BP), including enrichment of regulatory transcripts for growth and protein kinase activity in the higher fertility bulls. Biological variation in transcript presence among individual sires was also found. Of the candidate fertility spermatozoal transcripts chosen from the RNA-Seq population analysis reported here and previous publications, COX7C was negatively correlated with sire fertility. Using high-throughput sequencing, candidate spermatozoal transcripts were identified for further study as potential markers for sire fertility. Copyright © 2017 Elsevier B.V. All rights reserved.

  9. African American Caregivers and Substance Abuse in Child Welfare: Identification of Multiple Risk Profiles

    Science.gov (United States)

    Small, Eusebius; Kohl, Patricia L.

    2012-01-01

    Despite the strong correlation between caregiver substance abuse and child maltreatment, little information exists to understand the typology of African American caregivers with substance abuse problems in the child welfare system. Research shows African American caregivers contend with multiple problems stemming from substance abuse. Unfortunately, we do not yet know how to best tailor resources to be responsive to varying groups of African American caregivers. Using data from the National Survey of Child and Adolescent Well-being (NSCAW), this investigation tested for distinct multivariate profiles among a subset of African American caregivers with substance abuse problems (n=258). Latent Class Analysis (LCA) was used to classify caregivers, and five classes were identified among this high risk sample – each with distinct risk profiles. Based on these findings, we discuss implications for tailored practices to enhance the safety and stability of children involved with child welfare. PMID:22962521

  10. Identification of multiple intelligences with the Multiple Intelligence Profiling Questionnaire III

    OpenAIRE

    KIRSI TIRRI; PETRI NOKELAINEN

    2008-01-01

    In this study, we present the latest version of the Multiple Intelligences Profiling Questionnaire (MIPQ III) that is based on Howard Gardner’s (e.g., 1983, 1999) MI theory. The operationalization of nine MI scales is tested with an empirical sample of Finnish preadolescents and adults (n = 410). Results of the internal consistency analysis show that the nine MIPQ III dimensions have satisfactory reliability coefficients with the sample. Results of the interscale correlation analysis show tha...

  11. Identification of circulating miRNAs profiles that distinguish malignant pleural mesothelioma from lung adenocarcinoma

    Science.gov (United States)

    Gayosso-Gómez, LV; Zárraga-Granados, G; Paredes-Garcia, P; Falfán-Valencia, R; Vazquez-Manríquez, ME; Martinez-Barrera, LM; Castillo-Gonzalez, P; Rumbo-Nava, U; Guevara-Gutierrez, R; Rivera-Bravo, B; Ramirez-Venegas, A; Sansores, R; Negrete-Garcia, MC; Ortiz-Quintero, Blanca

    2014-01-01

    Accurate diagnosis of malignant pleura mesothelioma (MPM) is challenging. Differential diagnosis of MPM versus lung adenocarcinoma (AD) is particularly difficult, yet clinically important since the two neoplasias call for different treatment approaches. Circulating miRNA-profiling to identify miRNAs that can be used to distinguish MPM from AD has not been reported. We conducted a wide screening study of miRNA profiles in serum pools of MPM patients (N = 11), AD patients (N = 36), and healthy subjects (N = 45) to identify non-invasive biomarkers for differential diagnosis of MPM and AD, using deep sequencing. Sequencing detected up to 300 known miRNAs and up to 25 novel miRNAs species in the serum samples. Among known miRNAs, 7 were upregulated in MPM and 12 were upregulated in AD compared to healthy controls. Of these, eight were distinctive for AD and three were unique for MPM. Direct comparison of the miRNA profiles for MPM and AD revealed differences in miRNA levels that could be useful for differential diagnosis. No differentially expressed novel miRNAs were found. Further bioinformatics analysis indicated that three upregulated miRNAs in MPM are associated with the p38 pathway. There are unique alterations in serum miRNAs in MPM and AD compared to healthy controls, as well as differences between MPM and AD profiles. Differing miRNA levels between MPM and AD may be useful for differential diagnosis. A potential association to p38 pathway of three upregulated miRNAs in MPM was revealed. PMID:26417297

  12. Rapid Identification of Potential Drugs for Diabetic Nephropathy Using Whole-Genome Expression Profiles of Glomeruli

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    Jingsong Shi

    2016-01-01

    Full Text Available Objective. To investigate potential drugs for diabetic nephropathy (DN using whole-genome expression profiles and the Connectivity Map (CMAP. Methodology. Eighteen Chinese Han DN patients and six normal controls were included in this study. Whole-genome expression profiles of microdissected glomeruli were measured using the Affymetrix human U133 plus 2.0 chip. Differentially expressed genes (DEGs between late stage and early stage DN samples and the CMAP database were used to identify potential drugs for DN using bioinformatics methods. Results. (1 A total of 1065 DEGs (FDR 1.5 were found in late stage DN patients compared with early stage DN patients. (2 Piperlongumine, 15d-PGJ2 (15-delta prostaglandin J2, vorinostat, and trichostatin A were predicted to be the most promising potential drugs for DN, acting as NF-κB inhibitors, histone deacetylase inhibitors (HDACIs, PI3K pathway inhibitors, or PPARγ agonists, respectively. Conclusion. Using whole-genome expression profiles and the CMAP database, we rapidly predicted potential DN drugs, and therapeutic potential was confirmed by previously published studies. Animal experiments and clinical trials are needed to confirm both the safety and efficacy of these drugs in the treatment of DN.

  13. In vitro and in silico Approaches to the Identification of New Compounds with Antibacterial Profile

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    Carlos R. Rodrigues

    2013-06-01

    Full Text Available The emergence of multidrug-resistant bacterial strains is a world problem that increases the need for new and more effective antimicrobials. On that purpose, derivatives of cyclic systems may serve as new leads for discovering new active molecules. In this work we evaluated the antibacterial profile of 243 molecules derived from the systems thienopyridine, pyrazolopiridine, quinolone, chalcone, hydrazone and lapachone against Gram-positive and Gram-negative susceptible and multiresistant strains also comparing them with antibiotics of clinical use. Our results showed that among the 243 molecules tested, only eight derivatives were active with promissing MIC values (2-64mg/mL. Our theoretical in silico analysis showed that all active compounds fulfilled Lipinski rule of five (molecular weight = 344.37–409.24, clogP = 3.15–4.11, nHBA = 6–7, and nHBD = 2, similarly to commercial drugs as well as presented better druglikeness values (from -3.68 to 0.12 than chloramphenicol (-4.61 and linezolid (-4.08. Most of the active derivatives presented a low in silico toxicity risk profile, similar to oxacillin, ampicillin, and penicillin G, and even lower than that observed for chloramphenicol and linezolid. Theoretically HOMO and the electrostatic protential distribution may be contributing for this safer profile. This study used computacional tools and may help to deal with an important world health problem.

  14. Machine learning based identification of protein-protein interactions using derived features of physiochemical properties and evolutionary profiles.

    Science.gov (United States)

    Tahir, Muhammad; Hayat, Maqsood

    2017-05-01

    Proteins are the central constitute of a cell or biological system. Proteins execute their functions by interacting with other molecules such as RNA, DNA and other proteins. The major functionality of protein-protein interactions (PPIs) is the execution of biochemical activities in living species. Therefore, an accurate identification of PPIs becomes a challenging and demanding task for investigators from last few decades. Various traditional and computational methods have been applied but they have not achieved quite encouraging results. In order to extend the concept of computational model by incorporating intelligent, contemporary machine learning algorithms have been utilized for identification of PPIs. In this prediction model, protein sequences are expressed by using two distinct feature extraction methods namely: physiochemical properties of amino acids and evolutionary profiles method position specific scoring matrix (PSSM). Jackknife test and numerous performance parameters namely: specificity, recall, accuracy, MCC, precision, and F-measure were employed to compute the predictive quality of proposed model. After empirical analysis, it is determined that the proposed prediction model yielded encouraging predictive outcomes compared to existing state-of-the-art models. This achievement is ascribed with PSSM because it has clearly discerned a motif of PPIs. It is realized that the proposed prediction model will lead to be a practical and very useful tool for research community. Copyright © 2017 Elsevier B.V. All rights reserved.

  15. Identification and antimicrobial suceptibility profile of bacteria causing bovine mastitis from dairy farms in Pelotas, Rio Grande do Sul

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    C. H. Freitas

    2018-01-01

    Full Text Available Abstract Mastitis is an inflammatory process of the udder tissue caused mainly by the bacteria Staphylococcus aureus. The indiscriminate use of antibiotics fosters conditions that favor the selection of resistant microorganisms, suppressing at the same time susceptible forms, causing a serious problem in dairy cattle. Given the importance in performing an antibiogram to select the most adequate antimicrobial therapy, the aim of this study was to identify bacteria isolated from cow’s milk with mastitis, in dairy farms situated in the city of Pelotas, Rio Grande do Sul, and to determinate the susceptibility profile of these isolates against the antibiotics used to treat this illness. A total of 30 isolates of Staphylococcus spp., were selected from milk samples from the udder quarters with subclinical mastitis whose species were identified through the Vitek system. The susceptibility profile was performed by the disk diffusion assay, against: ampicillin, amoxicillin, bacitracin, cephalexin, ceftiofur, enrofloxacin, gentamicin, neomycin, norfloxacin, penicillin G, tetracycline and trimethoprim. In the antibiogram, 100.0% of the isolates were resistant to trimethoprim and 96.7% to tetracycline and neomycin, three strains of Staphylococcus spp., (10.0% presented resistance to the 12 antibiotics tested and 24 (80.0% to at least eight. These results showed the difficulty in treating mastitis, due to the pathogens’ resistance.

  16. Species identification and profiling of complex microbial communities using shotgun Illumina sequencing of 16S rRNA amplicon sequences.

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    Swee Hoe Ong

    Full Text Available The high throughput and cost-effectiveness afforded by short-read sequencing technologies, in principle, enable researchers to perform 16S rRNA profiling of complex microbial communities at unprecedented depth and resolution. Existing Illumina sequencing protocols are, however, limited by the fraction of the 16S rRNA gene that is interrogated and therefore limit the resolution and quality of the profiling. To address this, we present the design of a novel protocol for shotgun Illumina sequencing of the bacterial 16S rRNA gene, optimized to amplify more than 90% of sequences in the Greengenes database and with the ability to distinguish nearly twice as many species-level OTUs compared to existing protocols. Using several in silico and experimental datasets, we demonstrate that despite the presence of multiple variable and conserved regions, the resulting shotgun sequences can be used to accurately quantify the constituents of complex microbial communities. The reconstruction of a significant fraction of the 16S rRNA gene also enabled high precision (>90% in species-level identification thereby opening up potential application of this approach for clinical microbial characterization.

  17. Phytochemical-mediated Protein Expression Profiling and the Potential Applications in Therapeutic Drug Target Identifications.

    Science.gov (United States)

    Wong, Fai-Chu; Tan, Siok-Thing; Chai, Tsun-Thai

    2016-07-29

    Many phytochemicals derived from edible medicinal plants have been investigated intensively for their various bioactivities. However, the detailed mechanism and their corresponding molecular targets frequently remain elusive. In this review, we present a summary of the research works done on phytochemical-mediated molecular targets, identified via proteomic approach. Concurrently, we also highlighted some pharmaceutical drugs which could be traced back to their origins in phytochemicals. For ease of presentation, these identified protein targets were categorized into two important healthcare-related fields, namely anti-bacterial and anti-cancer research. Through this review, we hope to highlight the usefulness of comparative proteomic as a powerful tool in phytochemical-mediated protein target identifications. Likewise, we wish to inspire further investigations on some of these protein targets identified over the last few years. With contributions from all researchers, the accumulative efforts could eventually lead to the discovery of some target-specific, low-toxicity therapeutic agents.

  18. Identification of Host Micro RNAs That Differentiate HIV-1 and HIV-2 Infection Using Genome Expression Profiling Techniques

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    Krishnakumar Devadas

    2016-05-01

    Full Text Available While human immunodeficiency virus type 1 and 2 (HIV-1 and HIV-2 share many similar traits, major differences in pathogenesis and clinical outcomes exist between the two viruses. The differential expression of host factors like microRNAs (miRNAs in response to HIV-1 and HIV-2 infections are thought to influence the clinical outcomes presented by the two viruses. MicroRNAs are small non-coding RNA molecules which function in transcriptional and post-transcriptional regulation of gene expression. MiRNAs play a critical role in many key biological processes and could serve as putative biomarker(s for infection. Identification of miRNAs that modulate viral life cycle, disease progression, and cellular responses to infection with HIV-1 and HIV-2 could reveal important insights into viral pathogenesis and provide new tools that could serve as prognostic markers and targets for therapeutic intervention. The aim of this study was to elucidate the differential expression profiles of host miRNAs in cells infected with HIV-1 and HIV-2 in order to identify potential differences in virus-host interactions between HIV-1 and HIV-2. Differential expression of host miRNA expression profiles was analyzed using the miRNA profiling polymerase chain reaction (PCR arrays. Differentially expressed miRNAs were identified and their putative functional targets identified. The results indicate that hsa-miR 541-3p, hsa-miR 518f-3p, and hsa-miR 195-3p were consistently up-regulated only in HIV-1 infected cells. The expression of hsa-miR 1225-5p, hsa-miR 18a* and hsa-miR 335 were down modulated in HIV-1 and HIV-2 infected cells. Putative functional targets of these miRNAs include genes involved in signal transduction, metabolism, development and cell death.

  19. Complex trait subtypes identification using transcriptome profiling reveals an interaction between two QTL affecting adiposity in chicken

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    Blum Yuna

    2011-11-01

    Full Text Available Abstract Background Integrative genomics approaches that combine genotyping and transcriptome profiling in segregating populations have been developed to dissect complex traits. The most common approach is to identify genes whose eQTL colocalize with QTL of interest, providing new functional hypothesis about the causative mutation. Another approach includes defining subtypes for a complex trait using transcriptome profiles and then performing QTL mapping using some of these subtypes. This approach can refine some QTL and reveal new ones. In this paper we introduce Factor Analysis for Multiple Testing (FAMT to define subtypes more accurately and reveal interaction between QTL affecting the same trait. The data used concern hepatic transcriptome profiles for 45 half sib male chicken of a sire known to be heterozygous for a QTL affecting abdominal fatness (AF on chromosome 5 distal region around 168 cM. Results Using this methodology which accounts for hidden dependence structure among phenotypes, we identified 688 genes that are significantly correlated to the AF trait and we distinguished 5 subtypes for AF trait, which are not observed with gene lists obtained by classical approaches. After exclusion of one of the two lean bird subtypes, linkage analysis revealed a previously undetected QTL on chromosome 5 around 100 cM. Interestingly, the animals of this subtype presented the same q paternal haplotype at the 168 cM QTL. This result strongly suggests that the two QTL are in interaction. In other words, the "q configuration" at the 168 cM QTL could hide the QTL existence in the proximal region at 100 cM. We further show that the proximal QTL interacts with the previous one detected on the chromosome 5 distal region. Conclusion Our results demonstrate that stratifying genetic population by molecular phenotypes followed by QTL analysis on various subtypes can lead to identification of novel and interacting QTL.

  20. Universal sensor array for highly selective system identification using two-dimensional nanoparticles.

    Science.gov (United States)

    Hizir, Mustafa Salih; Robertson, Neil M; Balcioglu, Mustafa; Alp, Esma; Rana, Muhit; Yigit, Mehmet V

    2017-08-01

    A typical lock-and-key sensing strategy, relying only on the most dominant interactions between the probe and target, could be too limiting. In reality, the information received upon sensing is much richer. Non-specific events due to various intermolecular forces contribute to the overall received information with different degrees, and when analyzed, could provide a much more powerful detection opportunity. Here, we have assembled a highly selective universal sensor array using water-soluble two-dimensional nanoparticles (nGO, MoS2 and WS2) and fluorescent DNA molecules. The array is composed of 12 fluorescently silent non-specific nanoreceptors (2D-nps) and used for the identification of three radically different systems; five proteins, three types of live breast cancer cells and a structure-switching event of a macromolecule. The data matrices for each system were processed using Partial Least Squares (PLS) discriminant analysis. In all of the systems, the sensor array was able to identify each object or event as separate clusters with 95% confidence and without any overlap. Out of 15 unknown entities with unknown protein concentrations tested, 14 of them were predicted successfully with correct concentration. 8 breast cancer cell samples out of 9 unknown entities from three cell types were predicted correctly. During the assembly of each nanoprobe, the intrinsic non-covalent interactions between unmodified 2D nanoparticles and ssDNAs were exploited. The unmodified 2D materials offer remarkable simplicity in the layout and the use of ssDNAs as probes provides limitless possibilities because the natural interaction of a ssDNA and 2D surface can be fine-tuned with the nucleobase composition, oligonucleotide length and type of 2D nanomaterial. Therefore, the approach described here can be advanced and fine-tuned indefinitely for meeting a particular sensing criterion. Though we have only studied three distinct elements, this approach is universal enough to be

  1. Identification of selected microorganisms from activated sludge capable of benzothiazole and benzotriazole transformation.

    Science.gov (United States)

    Kowalska, Katarzyna; Felis, Ewa

    2015-01-01

    Benzothiazole (BT) and benzotriazole (BTA) are present in the environment - especially in urban and industrial areas, usually as anthropogenic micropollutants. BT and BTA have been found in the municipal and industrial wastewater, rivers, soil, groundwater, sediments and sludge. The origins of those substances' presence in the environment are various industry branches (food, chemical, metallurgical, electrical), households and surface runoff from industrial areas. Increasingly strict regulations on water quality and the fact that the discussed compounds are poorly biodegradable, make them a serious problem in the environment. Considering this, it is important to look for environmentally friendly and socially acceptable ways to remove BT and BTA. The aim of this study was to identify microorganisms capable of BT and BTA transformation or/and degradation in aquatic environment. Selected microorganisms were isolated from activated sludge. The identification of microorganisms capable of BT and BTA removal was possible using molecular biology techniques (PCR, DNA sequencing). Among isolated microorganisms of activated sludge are bacteria potentially capable of BT and BTA biotransformation and/or removal. The most common bacteria capable of BT and BTA transformation were Rhodococcus sp., Enterobacter sp., Arthrobacter sp. They can grow in a medium with BT and BTA as the only carbon source. Microorganisms previously adapted to the presence of the studied substances at a concentration of 10 mg/l, showed a greater rate of growth of colonies on media than microorganisms unconditioned to the presence of such compounds. Results of the biodegradation test suggest that BT was degraded to a greater extent than BTA, 98-100% and 11-19%, respectively.

  2. Use of endometrial cytology and metabolic profiles for selection of embryo donor cows

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    F. Ismael Fernandez-Sanchez

    2014-07-01

    Full Text Available The aim of this study was to evaluate the use of endometrial cytology and metabolic profiles for selection of donor cows in embryo transfer programmes. For this purpose, 69 clinically healthy Holstein cows were enrolled in the study. At the start of the superovulation procedure (Day 0, blood and endometrial samples were obtained to determine metabolic and uterine status, respectively. The cows were then subjected to porcine follicle stimulating hormone (pFSH superovulation treatment, and embryos were recovered after 7 days. The mean number of embryos obtained per flush was 9.89±8.21 (4.63±5.34 viable embryos, 0.82±2.01 degenerated embryos and 4.57±6.44 unfertilized ova. The following statistically significant variables were entered in a regression model: beta-hydroxybutyrate, serum cholesterol, body condition, number of calvings and percentage of neutrophils. In almost all cases, the model explained some percentage of the variance: total number of embryos, 4.8% (p<0.05; number of degenerate embryos, 4.2% (p=0.051; and number of unfertilized ova, 14.2% (p<0.01. Statistical models for the percentage of viable embryos and unfertilized ova accounted for 24.0% and 29.4% of the variance, respectively, and both were statistically significant (p<0.01. The model for the percentage of degenerated embryos was statistically significant (p<0.05 and explained 4.4% of the variance. In conclusion, we have demonstrated that positive energy balance and healthy uterus can improve ovarian response and the proportion of viable embryos in cows. Efficient tools for monitoring the metabolic and uterine status should therefore be used in bovine embryo transfer programmes.

  3. Carotenoid profiling of the leaves of selected African eggplant accessions subjected to drought stress.

    Science.gov (United States)

    Mibei, Elias K; Ambuko, Jane; Giovannoni, James J; Onyango, Arnold N; Owino, Willis O

    2017-01-01

    African eggplants (Solanum aethiopicum and S. macrocarpon) are among the most economically important and valuable vegetable and fruit crops. They are a major source of biologically active nutritional substances and metabolites which are essential for plant growth, development, stress adaptation and defense. Among these metabolites are the carotenoids which act as accessory pigments for photosynthesis and precursor to plant hormones. Though African eggplants are known to be resistant to various abiotic stresses, the effect of these stresses on secondary metabolites has not been well defined. The objective of this study was to establish the effect of drought stress on carotenoid profiles of nineteen African eggplant accessions selected based on leaf and fruit morphological traits. Stress was achieved by limiting irrigation and maintaining the wilting state of the crops. Fresh leaves were sampled at different maturity stages; before stress, 2 weeks and 4 weeks after stress for carotenoid analysis. The fresh harvested leaf tissues were immediately frozen in liquid nitrogen and ground. Analysis was carried out using a Dionex HPLC machine coupled to Photo Array Detector and Chromeleon software package (Thermo Fisher Scientific Inc, Waltham, Massachusetts, USA). Major carotenoids viz;. Xanthophylls (neoxanthin, violaxanthin, zeaxanthin and lutein) and carotenes (β-carotene and α-carotene), phytofluene, lycopene, phytoene as well as chlorophylls (chlorophyll-b and Chlorophyll-a) were targeted. The carotenoids increased with maturity stage of the crop. Although the stressed crops reported significantly decreased amount of carotenes, chlorophylls, neoxanthin and violaxanthin, the concentration of zeaxanthin increased with stress whereas lutein had no significant change. Chlorophyll-a was significantly high in all the control accessions. Two accessions reported significantly higher contents of carotenoids as compared to the other accessions. The results of this study

  4. Selective biodegradation of naphthenic acids and a probable link between mixture profiles and aquatic toxicity.

    Science.gov (United States)

    Toor, Navdeep S; Han, Xiumei; Franz, Eric; MacKinnon, Michael D; Martin, Jonathan W; Liber, Karsten

    2013-10-01

    The toxicity of oil sands process-affected waters (OSPW) from the Athabasca Oil Sands (AOS) in northern Alberta, Canada, is related to a relatively persistent group of dissolved organic acids known as naphthenic acids (NAs). Naphthenic acids are a complex mixture of carboxylic acids, with a general formula C(n)H(2n+Z)O2, where n indicates the carbon number and Z specifies the number of rings in the molecule. The present study is the first to evaluate the potential for the selective biodegradation of NAs and the associated reduction in aquatic toxicity of 2 OSPWs, maintained under 2 different hydraulic retention times and increased nutrient availability (nitrate and phosphate), using flow-through laboratory wetland microcosms over a 52-wk test period. High-performance liquid chromatography/quadrupole time of flight-mass spectrometry analysis was used to track the changes in NA mixture profiles, or "fingerprints," in each treatment over time. Based on first-order degradation kinetics, more rapid degradation was observed for NAs that had lower carbon numbers and fewer degrees of cyclization (NA congeners with carbon numbers 11-16 and Z series -2 to -4; half-lives between 19 and 28 wk). Within the NA mixture fingerprints, the 2 most persistent groups of homologues were also identified (NAs with carbon numbers 17-20 and Z series -6 to -12; half-lives between 37 and 52 wk). The persistence of this group of NAs may aid in explaining the residual chronic toxicological response as measured by the Microtox bioassay (effective concentration for 20%), after the degradation of the more labile fractions of NA mixtures in OSPW. © 2013 SETAC.

  5. APPLICATION OF GENE PROFILING IN SELECTION OF ADJUVANT THERAPY IN BREAST CANCER IN A DEVELOPING COUNTRY.

    Science.gov (United States)

    Baitchu, Y; Apffelstaedt, J

    2017-09-01

    Outcome series for genetic profile tests (MammaPrint/70GP) with medium-term follow-up are rare. We present an outcome series with 5-year follow-up from a developing country. From 2006 to 2016, patients with histopathologically confirmed breast cancer (cT0-3 and cN0-1) were selected and decisions on adjuvant therapy post-surgery were based on 70GP. Data on outcomes were collected prospectively. There were 154 patients, 140 luminal type, 13 HER2 type and one triple negative; 57.8% were 70GP low-risk; only one of these did receive chemotherapy; 42.2% were high-risk; 3 patients did not receive chemotherapy. After an average follow-up of 54.1 months, only 3 systemic recurrences occurred (all skeletal metastases); all in the high-risk group that had received chemotherapy. Across both groups overall survival was 99.9% and compliance with the treatment recommendations based on 70GP was >95% in both arms. Two patients each had two tumours in the same breast with divergent 70GP results and were treated in accordance with the High-risk result. Six patients showed discordant 70GP and FISH results for HER2 where three patients did not receive Trastuzumab on basis of 70GP, none of these tumours recurred. A further 11 patients had equivocal immunohistochemistry and a FISH was not done, therapy was decided upon considering the 70GP result and none of these patients had any recurrences. Chemotherapy use was much reduced versus the rate of use with conventional methods using 70GP and it may possibly be reasonable to replace immunohistochemistry for ER, PR and HER2 with 70GP especially considering borderline expression.

  6. Boat seines in Greece: Landings profiles and identification of potential métiers

    Directory of Open Access Journals (Sweden)

    Stelios Katsanevakis

    2010-03-01

    Full Text Available Although boat seines have a significant share in the total fish landings in Greece, there is little information on boat seine fisheries. The present study aims to identify boat seine métiers on a national level and contribute to a better understanding of their operation in Greece. We used boat seine landings data collected from a large number of ports in the Aegean and east Ionian Sea between 2002 and 2006. The landings profiles were grouped with a two-step procedure: the first step involved a factorial analysis of the log-transformed landings profiles, and the second step was a classification of the factorial coordinates (hierarchical agglomerative clustering. Six métiers were identified in the Aegean Sea, and three in the Ionian Sea. The ‘picarel-bogue’ métier was the most important in both seas, accounting for 54% and 88% of the fishing trips of the sample in the Aegean and Ionian Seas respectively. Apart from picarel and bogue, other important target species were red mullet, European squid, common pandora, chub mackerel, and European pilchard. Varying spatial (within the Aegean and Ionian Seas and seasonal patterns were evident for the identified métiers.

  7. Identification of candidate B-lymphoma genes by cross-species gene expression profiling.

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    Van S Tompkins

    Full Text Available Comparative genome-wide expression profiling of malignant tumor counterparts across the human-mouse species barrier has a successful track record as a gene discovery tool in liver, breast, lung, prostate and other cancers, but has been largely neglected in studies on neoplasms of mature B-lymphocytes such as diffuse large B cell lymphoma (DLBCL and Burkitt lymphoma (BL. We used global gene expression profiles of DLBCL-like tumors that arose spontaneously in Myc-transgenic C57BL/6 mice as a phylogenetically conserved filter for analyzing the human DLBCL transcriptome. The human and mouse lymphomas were found to have 60 concordantly deregulated genes in common, including 8 genes that Cox hazard regression analysis associated with overall survival in a published landmark dataset of DLBCL. Genetic network analysis of the 60 genes followed by biological validation studies indicate FOXM1 as a candidate DLBCL and BL gene, supporting a number of studies contending that FOXM1 is a therapeutic target in mature B cell tumors. Our findings demonstrate the value of the "mouse filter" for genomic studies of human B-lineage neoplasms for which a vast knowledge base already exists.

  8. Identification and developmental profiling of microRNAs in diamondback moth, Plutellaxylostella (L..

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    Pei Liang

    Full Text Available MicroRNAs (miRNAs are a group of small RNAs involved in various biological processes through negative regulation of mRNAs at the post-transcriptional level. Although miRNA profiles have been documented in over two dozen insect species, few are agricultural pests. In this study, both conserved and novel miRNAs in the diamondback moth, Plutella xylostella L., a devastating insect pest of cruciferous crops worldwide, were documented. High-throughput sequencing of a small RNA library constructed from a mixed life stages of P. xylostella, including eggs, 1st to 4th (last instar larvae, pupae and adults, identified 384 miRNAs, of which 174 were P. xylostella specific. In addition, temporal expressions of 234 miRNAs at various developmental stages were investigated using a customized microarray analysis. Among the 91 differentially expressed miRNAs, qRT-PCR analysis was used to validate highly expressed miRNAs at each stage. The combined results not only systematically document miRNA profiles in an agriculturally important insect pest, but also provide molecular targets for future functional analysis and, ultimately, genetic-based pest control practice.

  9. Comparison of the in vitro and in vivo profiles of tolterodine with those of subtype-selective muscarinic receptor antagonists.

    Science.gov (United States)

    Gillberg, P G; Sundquist, S; Nilvebrant, L

    1998-05-22

    Tolterodine [(R)-N,N-diisopropyl-3-(2-hydroxy-5-methylphenyl)-3-phenylpropanamine ] is a new potent and competitive muscarinic receptor antagonist developed for the treatment of urinary urge incontinence and other symptoms of overactive bladder. In vivo, tolterodine exhibits functional selectivity for the urinary bladder over salivary glands, a profile that cannot be explained in terms of selectivity for a single muscarinic receptor subtype. The aim of this study was to compare the in vitro and in vivo antimuscarinic profiles of tolterodine with those of muscarinic receptor antagonists with distinct receptor subtype-selectivity profiles: darifenacin [(S)-2-[1-[2-(2,3-dihydrobenzofuran-5-yl)ethyl]-3-pyrrolidinyl]-2,2-d iphenylacetamide; selective for muscarinic M3 receptors]; UH-AH 37 (6-chloro-5,10-dihydro-5-[(1-methyl-4-piperidinyl)acetyl]-11H-dibenzo-[b ,e][1,4]diazepine-11-one; low affinity for muscarinic M2 receptors); and AQ-RA 741 (11-([4-[4-(diethylamino)butyl]-1-piperidinyl]acetyl)-5,11-dihydro-6H-py rido[2,3-b][1,4]benzodiazepine-6-one; high affinity for muscarinic M2 receptors). The in vitro profiles of these compounds were in agreement with previous reports; darifenacin and UH-AH 37 demonstrated selectivity for muscarinic M3/m3 over M2/m2 receptors, while the converse was observed for AQ-RA 741. In vivo, AQ-RA 741 was more potent (1.4-2.7-fold) in inhibiting urinary bladder contraction than salivation in the anaesthetised cat (i.e., a profile similar to that of tolterodine [2.5-3.3-fold]), while darifenacin and UH-AH 37 showed the reverse selectivity profile (0.6-0.8 and 0.4-0.5-fold, respectively). The results confirm that it is possible to separate the antimuscarinic effects on urinary bladder and salivary glands in vivo. The data on UH-AH 37 and darifenacin support the view that a selectivity for muscarinic M3/m3 over M2/m2 receptors may result in a more pronounced effect on salivation than on bladder contraction. The data on AQ-RA 741 may indicate

  10. Identification of human circadian genes based on time course gene expression profiles by using a deep learning method.

    Science.gov (United States)

    Cui, Peng; Zhong, Tingyan; Wang, Zhuo; Wang, Tao; Zhao, Hongyu; Liu, Chenglin; Lu, Hui

    2017-12-12

    Circadian genes express periodically in an approximate 24-h period and the identification and study of these genes can provide deep understanding of the circadian control which plays significant roles in human health. Although many circadian gene identification algorithms have been developed, large numbers of false positives and low coverage are still major problems in this field. In this study we constructed a novel computational framework for circadian gene identification using deep neural networks (DNN) - a deep learning algorithm which can represent the raw form of data patterns without imposing assumptions on the expression distribution. Firstly, we transformed time-course gene expression data into categorical-state data to denote the changing trend of gene expression. Two distinct expression patterns emerged after clustering of the state data for circadian genes from our manually created learning dataset. DNN was then applied to discriminate the aperiodic genes and the two subtypes of periodic genes. In order to assess the performance of DNN, four commonly used machine learning methods including k-nearest neighbors, logistic regression, naïve Bayes, and support vector machines were used for comparison. The results show that the DNN model achieves the best balanced precision and recall. Next, we conducted large scale circadian gene detection using the trained DNN model for the remaining transcription profiles. Comparing with JTK_CYCLE and a study performed by Möller-Levet et al. (doi: https://doi.org/10.1073/pnas.1217154110), we identified 1132 novel periodic genes. Through the functional analysis of these novel circadian genes, we found that the GTPase superfamily exhibits distinct circadian expression patterns and may provide a molecular switch of circadian control of the functioning of the immune system in human blood. Our study provides novel insights into both the circadian gene identification field and the study of complex circadian-driven biological

  11. Character’s Selection of Leaf Morphology in Some Families (Tree Habit In Sumatra Region for Species Identification

    Directory of Open Access Journals (Sweden)

    Saida Rasnovi

    2014-04-01

    Full Text Available Identification is a basic activity and one of primary objective on systematic. For plant biodiversity studies, it was the first steps that researcher performed before studying any topics in the research area. Unfortunately, species identification is usually a time consuming activity. One of the main objectives of this study was to obtain a set of leaf morphology characters that were useful and efficient enough for species identification, especially on the tree habits group in order to reduce time consuming for the identification species.  All of the leaf morphology characters were selected by correlation coefficient and separation coefficient values. Besides of that, the stability, simplicity and validity of the characters were also part of concern. The characters that had high value of separation coefficient and low value of correlation coefficient would be added one by one as in their rank, until the value of the combination separation coefficient was equal to 1 (100%. The result of this study suggested that 30 from 92 characters of leaf morphology were recommended as a set of characters that useful and efficient enough for species identification.

  12. Dependence of Selected Water Quality Parameters on Flow Rates in River Profiles in the Czech Republic

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    Eduard Hanslík

    2016-06-01

    The results show that in the monitored profiles, there is a direct relationship with flow rate in case of N-NO3-, suspended solids and O2. Temperature shows an inverse relationship with the flow rate. Other parameters show different relationship with the flow rate in individual monitored profiles or do not show statistically significant relation.

  13. The Guareschi Pyridine Scaffold as a Valuable Platform for the Identification of Selective PI3K Inhibitors

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    Ubaldina Galli

    2015-09-01

    Full Text Available A novel series of 4-aryl-3-cyano-2-(3-hydroxyphenyl-6-morpholino-pyridines have been designed as potential phosphatidylinositol-3-kinase (PI3K inhibitors. The compounds have been synthesized using the Guareschi reaction to prepare the key 4-aryl-3-cyano-2,6-dihydroxypyridine intermediate. A different selectivity according to the nature of the aryl group has been observed. Compound 9b is a selective inhibitor against the PI3Kα isoform, maintaining a good inhibitory activity. Docking studies were also performed in order to rationalize its profile of selectivity.

  14. Identification and profiling of Cyprinus carpio microRNAs during ovary differentiation by deep sequencing.

    Science.gov (United States)

    Wang, Fang; Jia, Yongfang; Wang, Po; Yang, Qianwen; Du, QiYan; Chang, ZhongJie

    2017-04-28

    MicroRNAs (miRNAs) are endogenous small non-coding RNAs that regulate gene expression by targeting specific mRNAs. However, the possible role of miRNAs in the ovary differentiation and development of fish is not well understood. In this study, we examined the expression profiles and differential expression of miRNAs during three key stages of ovarian development and different developmental stages in common carp Cyprinus carpio. A total of 8765 miRNAs were identified, including 2155 conserved miRNAs highly conserved among various species, 145 miRNAs registered in miRBase for common carp, and 6505 novel miRNAs identified in common carp for the first time. Comparison of miRNA expression profiles among the five libraries identified 714 co-expressed and 2382 specific expressed miRNAs. Overall, 150, 628, and 431 specifically expressed miRNAs were identified in primordial gonad, juvenile ovary, and adult ovary, respectively. MiR-6758-3p, miR-3050-5p, and miR-2985-3p were highly expressed in primordial gonad, miR-3544-5p, miR-6877-3p, and miR-9086-5p were highly expressed in juvenile ovary, and miR-154-3p, miR-5307-5p, and miR-3958-3p were highly expressed in adult ovary. Predicted target genes of specific miRNAs in primordial gonad were involved in many reproductive biology signaling pathways, including transforming growth factor-β, Wnt, oocyte meiosis, mitogen-activated protein kinase, Notch, p53, and gonadotropin-releasing hormone pathways. Target-gene prediction revealed upward trends in miRNAs targeting male-bias genes, including dmrt1, atm, gsdf, and sox9, and downward trends in miRNAs targeting female-bias genes including foxl2, smad3, and smad4. Other sex-related genes such as sf1 were also predicted to be miRNA target genes. This comprehensive miRNA transcriptome analysis demonstrated differential expression profiles of miRNAs during ovary development in common carp. These results could facilitate future exploitation of the sex-regulatory roles and mechanisms of

  15. Identification of Novel Breast Cancer Subtype-Specific Biomarkers by Integrating Genomics Analysis of DNA Copy Number Aberrations and miRNA-mRNA Dual Expression Profiling

    Directory of Open Access Journals (Sweden)

    Dongguo Li

    2015-01-01

    Full Text Available Breast cancer is a heterogeneous disease with well-defined molecular subtypes. Currently, comparative genomic hybridization arrays (aCGH techniques have been developed rapidly, and recent evidences in studies of breast cancer suggest that tumors within gene expression subtypes share similar DNA copy number aberrations (CNA which can be used to further subdivide subtypes. Moreover, subtype-specific miRNA expression profiles are also proposed as novel signatures for breast cancer classification. The identification of mRNA or miRNA expression-based breast cancer subtypes is considered an instructive means of prognosis. Here, we conducted an integrated analysis based on copy number aberrations data and miRNA-mRNA dual expression profiling data to identify breast cancer subtype-specific biomarkers. Interestingly, we found a group of genes residing in subtype-specific CNA regions that also display the corresponding changes in mRNAs levels and their target miRNAs’ expression. Among them, the predicted direct correlation of BRCA1-miR-143-miR-145 pairs was selected for experimental validation. The study results indicated that BRCA1 positively regulates miR-143-miR-145 expression and miR-143-miR-145 can serve as promising novel biomarkers for breast cancer subtyping. In our integrated genomics analysis and experimental validation, a new frame to predict candidate biomarkers of breast cancer subtype is provided and offers assistance in order to understand the potential disease etiology of the breast cancer subtypes.

  16. Integrated statistical learning of metabolic ion mobility spectrometry profiles for pulmonary disease identification

    DEFF Research Database (Denmark)

    Hauschild, A.C.; Baumbach, Jan; Baumbach, J.

    2012-01-01

    as from 35 healthy volunteers, comprising a control group (CG). We standardized and integrated several statistical learning methods to provide a broad overview of their potential for distinguishing the patient groups. We found that there is strong potential for separating MCC/IMS chromatograms of healthy...... patients from healthy controls. We conclude that these statistical learning methods have a generally high accuracy when applied to well-structured, medical MCC/IMS data....... in every day practice. However, the potential of this methodology depends on successful application of computational approaches for finding relevant VOCs and classification of patients into disease-specific profile groups based on the detected VOCs. We developed an integrated state-of-the-art system using...

  17. Identification of discriminant proteins through antibody profiling, methods and apparatus for identifying an individual

    Energy Technology Data Exchange (ETDEWEB)

    Apel, William A.; Thompson, Vicki S; Lacey, Jeffrey A.; Gentillon, Cynthia A.

    2016-08-09

    A method for determining a plurality of proteins for discriminating and positively identifying an individual based from a biological sample. The method may include profiling a biological sample from a plurality of individuals against a protein array including a plurality of proteins. The protein array may include proteins attached to a support in a preselected pattern such that locations of the proteins are known. The biological sample may be contacted with the protein array such that a portion of antibodies in the biological sample reacts with and binds to the proteins forming immune complexes. A statistical analysis method, such as discriminant analysis, may be performed to determine discriminating proteins for distinguishing individuals. Proteins of interest may be used to form a protein array. Such a protein array may be used, for example, to compare a forensic sample from an unknown source with a sample from a known source.

  18. Identification of discriminant proteins through antibody profiling, methods and apparatus for identifying an individual

    Science.gov (United States)

    Thompson, Vicki S; Lacey, Jeffrey A; Gentillon, Cynthia A; Apel, William A

    2015-03-03

    A method for determining a plurality of proteins for discriminating and positively identifying an individual based from a biological sample. The method may include profiling a biological sample from a plurality of individuals against a protein array including a plurality of proteins. The protein array may include proteins attached to a support in a preselected pattern such that locations of the proteins are known. The biological sample may be contacted with the protein array such that a portion of antibodies in the biological sample reacts with and binds to the proteins forming immune complexes. A statistical analysis method, such as discriminant analysis, may be performed to determine discriminating proteins for distinguishing individuals. Proteins of interest may be used to form a protein array. Such a protein array may be used, for example, to compare a forensic sample from an unknown source with a sample from a known source.

  19. Robust method for identification of prognostic gene signatures from gene expression profiles.

    Science.gov (United States)

    Sim, Woogwang; Lee, Jungsul; Choi, Chulhee

    2017-12-05

    In the last decade, many attempts have been made to use gene expression profiles to identify prognostic genes for various types of cancer. Previous studies evaluating the prognostic value of genes suffered by failing to solve the critical problem of classifying patients into different risk groups based on specific gene expression threshold levels. Here, we present a novel method, called iterative patient partitioning (IPP), which was inspired by the receiver operating characteristic (ROC) curve, is based on the log-rank test and overcomes the threshold decision problem. We applied IPP to analyze datasets pertaining to various subtypes of breast cancer. Using IPP, we discovered both novel and well-studied prognostic genes related to cell cycle/proliferation or the immune response. The novel genes were further analyzed using copy-number alteration and mutation data, and these results supported their relationship with prognosis.

  20. CLOE: Identification of putative functional relationships among genes by comparison of expression profiles between two species

    Directory of Open Access Journals (Sweden)

    Pellegrino Maurizio

    2004-11-01

    Full Text Available Abstract Background Public repositories of microarray data contain an incredible amount of information that is potentially relevant to explore functional relationships among genes by meta-analysis of expression profiles. However, the widespread use of this resource by the scientific community is at the moment limited by the limited availability of effective tools of analysis. We here describe CLOE, a simple cDNA microarray data mining strategy based on meta-analysis of datasets from pairs of species. The method consists in ranking EST probes in the datasets of the two species according to the similarity of their expression profiles with that of two EST probes from orthologous genes, and extracting orthologous EST pairs from a given top interval of the ranked lists. The Gene Ontology annotation of the obtained candidate partners is then analyzed for keywords overrepresentation. Results We demonstrate the capabilities of the approach by testing its predictive power on three proteomically-defined mammalian protein complexes, in comparison with single and multiple species meta-analysis approaches. Our results show that CLOE can find candidate partners for a greater number of genes, if compared to multiple species co-expression analysis, but retains a comparable specificity even when applied to species as close as mouse and human. On the other hand, it is much more specific than single organisms co-expression analysis, strongly reducing the number of potential candidate partners for a given gene of interest. Conclusions CLOE represents a simple and effective data mining approach that can be easily used for meta-analysis of cDNA microarray experiments characterized by very heterogeneous coverage. Importantly, it produces for genes of interest an average number of high confidence putative partners that is in the range of standard experimental validation techniques.

  1. Bioinformatics microarray analysis and identification of gene expression profiles associated with cirrhotic liver

    Directory of Open Access Journals (Sweden)

    Kun-Ming Chan

    2016-04-01

    Full Text Available Cirrhosis is the endpoint of liver fibrosis that is accompanied by limited regeneration capacity and complications and is the ultimate cause of death in many patients. Despite this, few studies have thoroughly looked at the gene expression profiles in the cirrhotic liver. Hence, this study aims to identify the genes that were differentially expressed in the cirrhotic liver and to explore the putative related signaling pathway and interaction networks. The gene expression profiles of cirrhotic livers and noncirrhotic livers were examined and compared using microarray gene analysis. Proteins encoded by the differentially expressed genes were analyzed for functional clustering and signaling pathway involvement using MetaCore bioinformatics analyses. The Gene Ontology analysis as well as the Kyoto encyclopedia of Genes and Genomes pathway analysis were also performed. A total of 213 significant genes were differentially expressed at more than a two-fold change in cirrhotic livers as compared to noncirrhotic livers. Of these, 105 upregulated genes and 63 downregulated genes were validated through MetaCore bioinformatics analyses. The signaling pathways and major functions of proteins encoded by these differentially expressed genes were further analyzed; results showed that the cirrhotic liver has a unique gene expression pattern related to inflammatory reaction, immune response, and cell growth, and is potentially cancer related. Our findings suggest that the microarray analysis may provide clues to the molecular mechanisms of liver cirrhosis for future experimental studies. However, further exploration of areas regarding therapeutic strategy might be possible to support metabolic activity, decrease inflammation, or enhance regeneration for liver cirrhosis.

  2. Evaluation of VIDAs Immuno-concentration Salmonella assay Plus selective plate method (Hektoen enteric, bismuth sulfite, Salmonella identification) for detection of Salmonella in selected foods: collaborative study.

    Science.gov (United States)

    Lepper, Wendy A; Schultz, Ann M; Curiale, Michael S; Johnson, Ronald L

    2002-01-01

    The VIDAS Immuno-concentration Salmonella (ICS) plus selective plate method (Hektoen enteric, bismuth sulfite, Salmonella identification) method for the detection of Salmonella was compared to the Bacteriological Analytical Manual (BAM)/AOAC culture method in a collaborative study. Thirty-two laboratories participated in the evaluation. Each laboratory tested one or more of the 6 test products: milk chocolate, nonfat dry milk, dried whole egg, soy flour, ground black pepper, and ground raw turkey. The 2 methods were in agreement for 1,283 of the 1,440 test samples. Of the 157 test samples not in agreement, 82 were VIDAS ICS plus selective plate-positive and BAM/AOAC-negative, and 75 were VIDAS ICS plus selective plate-negative and BAM/AOAC-positive.

  3. Reproducibility of protein identification of selected cell types in Barrett's esophagus analyzed by combining laser-capture microdissection and mass spectrometry.

    Science.gov (United States)

    Stingl, Christoph; van Vilsteren, Frederike G I; Guzel, Coskun; Ten Kate, Fiebo J W; Visser, Mike; Krishnadath, Kausilia K; Bergman, Jacques J; Luider, Theo M

    2011-01-07

    Barrett's esophagus (BE) is associated with increased risk of esophageal adenocarcinoma (EAC) and characterized by replacement of normal esophageal squamous epithelium by columnar epithelium. These alterations are also reflected in changes in the protein-expression profiles of the cell types involved. To separately investigate the proteomes of selected cell-types we combined laser-capture microdissection (LCM) and liquid chromatography-mass spectrometry (LC-MS). Aims were to determine the sensitivity, specificity, and technical reproducibility of the sampling method, and the biological variability within and between biopsies and patients. Frozen biopsies were cryo-sectioned, samples of around 2000 epithelial or stroma cells microdissected, digested and measured by Orbitrap LC-MS. Proteins were then identified by MS/MS database search and quantified by label-free analysis. An average of 366 protein-groups were identified per sample, and more protein-groups were found in epithelial samples than in stromal samples (442 vs 301, p types of reproducibilities (run-to-run, intrabiopsy, biopsy-to-biopsy, experiment-to-experiment, and patient-to-patient) for protein identification and protein quantification. Reproducibility of protein identification ranged from 78 to 57%, and standard deviation of protein quantification was on patient-to-patient level four times higher than for run-to-run. We conclude that sampling around 2000 cells requires groups of 32 samples to detect significant, over 10-fold differences in protein abundances and thus creates a successful compromise between throughput and quality of results. We therefore believe that this method is suitable for investigating protein-expression profiles during carcinogenesis.

  4. Training candidate selection for effective out-of-set rejection in robust open-set language identification.

    Science.gov (United States)

    Zhang, Qian; Hansen, John H L

    2018-01-01

    Research in open-set language identification (LID) generally focuses on in-set language modeling versus out-of-set (OOS) language rejection. However, unknown/OOS language rejection is essential for effective speech and language pre-processing. To address this, an approach for OOS language selection is proposed. Using probe OOS data, three effective OOS candidate selection methods are developed for universal OOS language coverage. The selected OOS candidates are expected to reflect the entire OOS language space for the state-of-the-art i-vector LID system followed by a Gaussian back-end. Two front-end feature selection strategies are proposed: (i) unsupervised k-means clustering and (ii) complementary candidate selection. Also, (iii) general candidate selection is proposed according to language relationship explored at the score level. All methods are evaluated on a large-scale corpus (LRE-09) containing 40 languages. The proposed selection methods reduce OOS training data diversity by 86% while achieving performance similar to closed-set using all probe OOS for training. The proposed methods also show clear benefits versus random candidate selection (i.e., the proposed solutions achieve sustained performance while employing a minimum number of effective OOS language candidates). To the best of our knowledge, this is the first major effort on effective OOS language selection and enhancement for improved OOS rejection in open-set LID.

  5. Identification and developmental expression profiling of putative alkaloid biosynthetic genes in Corydalis yanhusuo bulbs.

    Science.gov (United States)

    Liao, Dengqun; Wang, Pengfei; Jia, Chan; Sun, Peng; Qi, Jianjun; Zhou, Lili; Li, Xian'en

    2016-01-18

    Alkaloids in bulbs of Corydalis (C.) yanhusuo are the major pharmacologically active compounds in treatment of blood vessel diseases, tumors and various pains. However, due to the absence of gene sequences in C. yanhusuo, the genes involved in alkaloid biosynthesis and their expression during bulb development remain unknown. We therefore established the first transcriptome database of C. yanhusuo via Illumina mRNA-Sequencing of a RNA composite sample collected at Bulb initiation (Day 0), early enlargement (Day 10) and maturation (Day 30). 25,013,630 clean 90 bp paired-end reads were de novo assembled into 47,081 unigenes with an average length of 489 bp, among which 30,868 unigenes (65.56%) were annotated in four protein databases. Of 526 putative unigenes involved in biosynthesis o f various alkaloids, 187 were identified as the candidate genes involved in the biosynthesis of benzylisoquinoline alkaloids (BIAs), the only alkaloid type reported in C. yanhusuo untill now. BIAs biosynthetic genes were highly upregulated in the overall pathway during bulb development. Identification of alkaloid biosynthetic genes in C. yanhusuo provide insights on pathways and molecular regulation of alkaloid biosynthesis, to initiate metabolic engineering in order to improve the yield of interesting alkaloids and to identify potentially new alkaloids predicted from the transcriptomic information.

  6. Molecular identification and osmotolerant profile of wine yeasts that ferment a high sugar grape must.

    Science.gov (United States)

    Tofalo, Rosanna; Chaves-López, Clemencia; Di Fabio, Federico; Schirone, Maria; Felis, Giovanna E; Torriani, Sandra; Paparella, Antonello; Suzzi, Giovanna

    2009-04-15

    The objective of this study was to examine the Saccharomyces and non-Saccharomyces yeast populations involved in a spontaneous fermentation of a traditional high sugar must (Vino cotto) produced in central Italy. Molecular identification of a total of 78 isolates was achieved by a combination of PCR-RFLP of the 5.8S ITS rRNA region and sequencing of the D1/D2 domain of the 26S rRNA gene. In addition, the isolates were differentiated by RAPD-PCR. Only a restricted number of osmotolerant yeast species, i.e. Candida apicola, Candida zemplinina and Zygosaccharomyces bailii, were found throughout all the fermentation process, while Saccharomyces cerevisiae prevailed after 15 days of fermentation. A physiological characterization of isolates was performed in relation to the resistance to osmotic stress and ethanol concentration. The osmotolerant features of C. apicola, C. zemplinina and Z. bailii were confirmed, while S. cerevisiae strains showed three patterns of growth in response to different glucose concentrations (2%, 20%, 40% and 60% w/v). The ability of some C. apicola and C. zemplinina strains to grow at 14% v/v ethanol is noteworthy. The finding that some yeast biotypes with higher multiple stress tolerance can persist in the entire winemaking process suggests possible future candidates as starter for Vino cotto production.

  7. Fermentation profile and identification of lactic acid bacteria and yeasts of rehydrated corn kernel silage.

    Science.gov (United States)

    Carvalho, B F; Ávila, C L S; Bernardes, T F; Pereira, M N; Santos, C; Schwan, R F

    2017-03-01

    The aim of this study was to evaluate the chemical and microbiological characteristics and to identify the lactic acid bacteria (LAB) and yeasts involved in rehydrated corn kernel silage. Four replicates for each fermentation time: 5, 15, 30, 60, 90, 150, 210 and 280 days were prepared. Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry and PCR-based identification were utilized to identify LAB and yeasts. Eighteen bacteria and four yeast species were identified. The bacteria population reached maximum growth after 15 days and moulds were detected up to this time. The highest dry matter (DM) loss was 7·6% after 280 days. The low concentration of water-soluble carbohydrates (20 g kg-1 of DM) was not limiting for fermentation, although the reduction in pH and acid production occurred slowly. Storage of the rehydrated corn kernel silage increased digestibility up to day 280. This silage was dominated by LAB but showed a slow decrease in pH values. This technique of corn storage on farms increased the DM digestibility. This study was the first to evaluate the rehydrated corn kernel silage fermentation dynamics and our findings are relevant to optimization of this silage fermentation. © 2016 The Society for Applied Microbiology.

  8. Identification of learning and memory genes in canine; promoter investigation and determining the selective pressure.

    Science.gov (United States)

    Seifi Moroudi, Reihane; Masoudi, Ali Akbar; Vaez Torshizi, Rasoul; Zandi, Mohammad

    2014-12-01

    One of the important behaviors of dogs is trainability which is affected by learning and memory genes. These kinds of the genes have not yet been identified in dogs. In the current research, these genes were found in animal models by mining the biological data and scientific literatures. The proteins of these genes were obtained from the UniProt database in dogs and humans. Not all homologous proteins perform similar functions, thus comparison of these proteins was studied in terms of protein families, domains, biological processes, molecular functions, and cellular location of metabolic pathways in Interpro, KEGG, Quick Go and Psort databases. The results showed that some of these proteins have the same performance in the rat or mouse, dog, and human. It is anticipated that the protein of these genes may be effective in learning and memory in dogs. Then, the expression pattern of the recognized genes was investigated in the dog hippocampus using the existing information in the GEO profile. The results showed that BDNF, TAC1 and CCK genes are expressed in the dog hippocampus, therefore, these genes could be strong candidates associated with learning and memory in dogs. Subsequently, due to the importance of the promoter regions in gene function, this region was investigated in the above genes. Analysis of the promoter indicated that the HNF-4 site of BDNF gene and the transcription start site of CCK gene is exposed to methylation. Phylogenetic analysis of protein sequences of these genes showed high similarity in each of these three genes among the studied species. The dN/dS ratio for BDNF, TAC1 and CCK genes indicates a purifying selection during the evolution of the genes.

  9. Using RNA-Seq for gene identification, polymorphism detection and transcript profiling in two alfalfa genotypes with divergent cell wall composition in stems

    Science.gov (United States)

    2011-01-01

    Background Alfalfa, [Medicago sativa (L.) sativa], a widely-grown perennial forage has potential for development as a cellulosic ethanol feedstock. However, the genomics of alfalfa, a non-model species, is still in its infancy. The recent advent of RNA-Seq, a massively parallel sequencing method for transcriptome analysis, provides an opportunity to expand the identification of alfalfa genes and polymorphisms, and conduct in-depth transcript profiling. Results Cell walls in stems of alfalfa genotype 708 have higher cellulose and lower lignin concentrations compared to cell walls in stems of genotype 773. Using the Illumina GA-II platform, a total of 198,861,304 expression sequence tags (ESTs, 76 bp in length) were generated from cDNA libraries derived from elongating stem (ES) and post-elongation stem (PES) internodes of 708 and 773. In addition, 341,984 ESTs were generated from ES and PES internodes of genotype 773 using the GS FLX Titanium platform. The first alfalfa (Medicago sativa) gene index (MSGI 1.0) was assembled using the Sanger ESTs available from GenBank, the GS FLX Titanium EST sequences, and the de novo assembled Illumina sequences. MSGI 1.0 contains 124,025 unique sequences including 22,729 tentative consensus sequences (TCs), 22,315 singletons and 78,981 pseudo-singletons. We identified a total of 1,294 simple sequence repeats (SSR) among the sequences in MSGI 1.0. In addition, a total of 10,826 single nucleotide polymorphisms (SNPs) were predicted between the two genotypes. Out of 55 SNPs randomly selected for experimental validation, 47 (85%) were polymorphic between the two genotypes. We also identified numerous allelic variations within each genotype. Digital gene expression analysis identified numerous candidate genes that may play a role in stem development as well as candidate genes that may contribute to the differences in cell wall composition in stems of the two genotypes. Conclusions Our results demonstrate that RNA-Seq can be

  10. Automated Feature Set Selection and Its Application to MCC Identification in Digital Mammograms for Breast Cancer Detection

    Directory of Open Access Journals (Sweden)

    Wu-Chung Shen

    2013-04-01

    Full Text Available We propose a fully automated algorithm that is able to select a discriminative feature set from a training database via sequential forward selection (SFS, sequential backward selection (SBS, and F-score methods. We applied this scheme to microcalcifications cluster (MCC detection in digital mammograms for early breast cancer detection. The system was able to select features fully automatically, regardless of the input training mammograms used. We tested the proposed scheme using a database of 111 clinical mammograms containing 1,050 microcalcifications (MCs. The accuracy of the system was examined via a free response receiver operating characteristic (fROC curve of the test dataset. The system performance for MC identifications was Az = 0.9897, the sensitivity was 92%, and 0.65 false positives (FPs were generated per image for MCC detection.

  11. Identification of peptide sequences that selectively bind to pentaerythritol trinitrate hemisuccinate-a surrogate of PETN, via phage display technology.

    Science.gov (United States)

    Kubas, George; Rees, William; Caguiat, Jonathan; Asch, David; Fagan, Diana; Cortes, Pedro

    2017-03-01

    The present research investigates the identification of amino acid sequences that selectively bind to a pentaerythritol tetranitrate (PETN) explosive surrogate. Through the use of a phage display technique and enzyme-linked immunosorbent assays (ELISA), a peptide library was tested against pentaerythritol trinitrate hemisuccinate (PETNH), a surrogate of PETN, to screen for those with amino acids having affinity toward the explosive. The results suggest that the library contains peptides selective to PETNH. Following three rounds of panning, clones were picked and tested for specificity toward PETNH. ELISA results from these samples show that each phage clone has some level of selectivity for binding to PETNH. The peptides from these clones have been sequenced and shown to contain certain common amino acid segments among them. This work represents a technological platform for identifying amino-acid sequences selective toward any bio-chem analyte of interest. © 2016 Wiley Periodicals, Inc.

  12. Evaluation of developmental toxicant identification using gene expression profiling in embryonic stem cell differentiation cultures.

    Science.gov (United States)

    van Dartel, Dorien A M; Pennings, Jeroen L A; de la Fonteyne, Liset J J; Brauers, Karen J J; Claessen, Sandra; van Delft, Joost H; Kleinjans, Jos C S; Piersma, Aldert H

    2011-01-01

    The murine embryonic stem cell test (EST) is an alternative testing method designed to assess potential developmental toxicity of compounds. The implementation of transcriptomics in the EST has been shown to reduce the culture duration and improve endpoint evaluation and is expected to result in an enhanced predictability and definition of the applicability domain. We evaluated the identification of developmental toxicity in the EST using two gene sets ("Van_Dartel_heartdiff_24h" and "EST biomarker genes") defined in our earlier studies. Nonexposed embryonic stem cells (ESC) differentiation cultures were sampled 0, 24, and 48 h after initiation of differentiation. Additionally, cultures exposed to 12 diverse well-characterized positive and negative developmental toxicants were isolated 24 h after the onset of exposure. Inhibition of ESC differentiation was evaluated in parallel by morphological scoring on culture day 10. Transcriptomics analysis was conducted using the Affymetrix Gene Chips platform. We applied principal component analysis on the basis of the two predefined gene sets to define the "differentiation track" that represents ESC differentiation. The significance of derivations in the gene expression-based differentiation track because of compound exposures were evaluated to determine developmental toxicity of tested compounds. We successfully predicted developmental toxicity using transcriptomics for 83% (10/12) and 67% (8/12) of the compounds, respectively, using the two predefined gene sets ("Van_Dartel_heartdiff_24h" and "EST biomarker genes"). Our study suggests that the application of transcriptomics may improve the applicability of the EST for the prediction of the developmental toxicity of chemicals.

  13. Genome-wide identification of WRKY genes and their expression profiles under different abiotic stresses in Elaeis guineensis.

    Science.gov (United States)

    Xiao, Yong; Zhou, Lixia; Lei, Xintao; Cao, Hongxing; Wang, Yong; Dou, Yajing; Tang, Wenqi; Xia, Wei

    2017-01-01

    African oil palm (Elaeis guineensis) is an important oil crop grown in tropical region and sensitive to low temperature along with high tolerance to salt and drought stresses. Since the WRKY transcription factor family plays central roles in the regulation of plant stress tolerance, 95 genes belonging to the WRKY family were identified and characterized in oil palm genome. Gene structure analysis showed that EgWRKY genes have considerable variation in intron number (0 to 12) and gene length (477bp to 89,167 bp). Duplicated genes identification indicated 32 EgWRKY genes originated from segmental duplication and two from tandem duplication. Based on transcriptome data, most EgWRKY genes showed tissue-specific expression patterns and their expression could be induced under cold stress. Furthermore, six EgWRKY genes with more than two-folded increased expression level under cold stress were validated by RT-qPCR, which has higher expression level in cold, drought and high salinity treatment. The identification and characterization of WRKY gene family showed that EgWRKY were associated with a wide range of abiotic stress responses in Elaeis guineensis and some EgWRKY members with high expression levels could be selected for further research in analyzing their functions in the stress response in African oil palm.

  14. Genome-wide identification of WRKY genes and their expression profiles under different abiotic stresses in Elaeis guineensis.

    Directory of Open Access Journals (Sweden)

    Yong Xiao

    Full Text Available African oil palm (Elaeis guineensis is an important oil crop grown in tropical region and sensitive to low temperature along with high tolerance to salt and drought stresses. Since the WRKY transcription factor family plays central roles in the regulation of plant stress tolerance, 95 genes belonging to the WRKY family were identified and characterized in oil palm genome. Gene structure analysis showed that EgWRKY genes have considerable variation in intron number (0 to 12 and gene length (477bp to 89,167 bp. Duplicated genes identification indicated 32 EgWRKY genes originated from segmental duplication and two from tandem duplication. Based on transcriptome data, most EgWRKY genes showed tissue-specific expression patterns and their expression could be induced under cold stress. Furthermore, six EgWRKY genes with more than two-folded increased expression level under cold stress were validated by RT-qPCR, which has higher expression level in cold, drought and high salinity treatment. The identification and characterization of WRKY gene family showed that EgWRKY were associated with a wide range of abiotic stress responses in Elaeis guineensis and some EgWRKY members with high expression levels could be selected for further research in analyzing their functions in the stress response in African oil palm.

  15. Identification of multiple intelligences with the Multiple Intelligence Profiling Questionnaire III

    Directory of Open Access Journals (Sweden)

    KIRSI TIRRI

    2008-06-01

    Full Text Available In this study, we present the latest version of the Multiple Intelligences Profiling Questionnaire (MIPQ III that is based on Howard Gardner’s (e.g., 1983, 1999 MI theory. The operationalization of nine MI scales is tested with an empirical sample of Finnish preadolescents and adults (n = 410. Results of the internal consistency analysis show that the nine MIPQ III dimensions have satisfactory reliability coefficients with the sample. Results of the interscale correlation analysis show that (1 Logical-mathematical intelligence correlates positively with Spatial intelligence; (2 Linguistic intelligence correlates positively with Intrapersonal intelligence; (3 Linguistic and Intrapersonal scales correlate positively with the Spiritual and Environmental intelligences. Results of the correlation analysis between the gender, age and the MI scales show that (1 Males in both samples have higher self-rated Logical-mathematical intelligence than females; (2 Females rate their linguistic abilities higher than the males. The results of CFA show good generalizability characteristics of the MIPQ III scales. Our findings give important information to teachers and educators on how gender influences the self-perception of students’ abilities.

  16. Analysis of the endogenous peptide profile of milk: identification of 248 mainly casein-derived peptides.

    Science.gov (United States)

    Baum, Florian; Fedorova, Maria; Ebner, Jennifer; Hoffmann, Ralf; Pischetsrieder, Monika

    2013-12-06

    Milk is an excellent source of bioactive peptides. However, the composition of the native milk peptidome has only been partially elucidated. The present study applied matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS) directly or after prefractionation of the milk peptides by reverse-phase high-performance liquid chromatography (RP-HPLC) or OFFGEL fractionation for the comprehensive analysis of the peptide profile of raw milk. The peptide sequences were determined by MALDI-TOF/TOF or nano-ultra-performance liquid chromatography-nanoelectrospray ionization-LTQ-Orbitrap-MS. Direct MALDI-TOF-MS analysis led to the assignment of 57 peptides. Prefractionation by both complementary methods led to the assignment of another 191 peptides. Most peptides originate from α(S1)-casein, followed by β-casein, and α(S2)-casein. κ-Casein and whey proteins seem to play only a minor role as peptide precursors. The formation of many, but not all, peptides could be explained by the activity of the endogenous peptidases, plasmin or cathepsin D, B, and G. Database searches revealed the presence of 22 peptides with established physiological function, including those with angiotensin-converting-enzyme (ACE) inhibitory, immunomodulating, or antimicrobial activity.

  17. Successful identification of key chemical structure modifications that lead to improved ADME profiles

    Science.gov (United States)

    Cucurull-Sanchez, Lourdes

    2010-05-01

    The results of a new method developed to identify well defined structural transformations that are key to improve a certain ADME profile are presented in this work. In particular Naïve Bayesian statistics and SciTegic FCFP_6 molecular fingerprints have been used to extract, from a dataset of 1,169 compounds with known in vitro UGT glucuronidation clearance, those changes in chemical structure that lead to a significant increase in this property. The effectiveness in achieving that goal of the thus found 55,987 transformations has been quantified and compared to classical medicinal chemistry transformations. The conclusion is that on average the new transformations found via in silico methods induce increases of UGT clearance by twofold, whilst the classical transformations are on average unable to alter that endpoint significantly in any direction. When both types of transformations are combined via substructural searches (SSS) the average twofold increase in glucuronidation is maintained. The implications of these findings for the drug design process are also discussed, in particular when compared to other methods previously described in the literature to address the question `Which compound do I make next?'

  18. Identification of a Predominantly Interferon-λ-Induced Transcriptional Profile in Murine Intestinal Epithelial Cells

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    Tharini A. Selvakumar

    2017-10-01

    Full Text Available Type I (α and β and type III (λ interferons (IFNs induce the expression of a large set of antiviral effector molecules via their respective surface membrane receptors. Whereas most cell types respond to type I IFN, type III IFN preferentially acts on epithelial cells and protects mucosal organs such as the lung and gastrointestinal tract. Despite the engagement of different receptor molecules, the type I and type III IFN-induced signaling cascade and upregulated gene profile is thought to be largely identical. Here, we comparatively analyzed the response of gut epithelial cells to IFN-β and IFN-λ2 and identified a set of genes predominantly induced by IFN-λ2. We confirm the influence of epithelial cell polarization for enhanced type III receptor expression and demonstrate the induction of predominantly IFN-λ2-induced genes in the gut epithelium in vivo. Our results suggest that IFN-λ2 targets the epithelium and induces genes to adjust the antiviral host response to the requirements at mucosal body sites.

  19. Identification and expression profiles of the WRKY transcription factor family in Ricinus communis.

    Science.gov (United States)

    Li, Hui-Liang; Zhang, Liang-Bo; Guo, Dong; Li, Chang-Zhu; Peng, Shi-Qing

    2012-07-25

    In plants, WRKY proteins constitute a large family of transcription factors. They are involved in many biological processes, such as plant development, metabolism, and responses to biotic and abiotic stresses. A large number of WRKY transcription factors have been reported from Arabidopsis, rice, and other higher plants. The recent publication of the draft genome sequence of castor bean (Ricinus communis) has allowed a genome-wide search for R. communis WRKY (RcWRKY) transcription factors and the comparison of these positively identified proteins with their homologs in model plants. A total of 47 WRKY genes were identified in the castor bean genome. According to the structural features of the WRKY domain, the RcWRKY are classified into seven main phylogenetic groups. Furthermore, putative orthologs of RcWRKY proteins in Arabidopsis and rice could now be assigned. An analysis of expression profiles of RcWRKY genes indicates that 47 WRKY genes display differential expressions either in their transcript abundance or expression patterns under normal growth conditions. Copyright © 2012 Elsevier B.V. All rights reserved.

  20. Identification of secondary instabilities in the near wake of a blunt trailing edge profiled body

    Science.gov (United States)

    Cruikshank, Ross; Zhao, Wenyi; Lavoie, Philippe

    2015-11-01

    Aerodynamic research into blunt trailing edge (BTE) airfoils is driven by their structural and aerodynamic advantages over sharp trailing edge airfoils. However, the wake of BTE airfoils is dominated by a vortex street, which causes increased drag. One method to reduce the spanwise coherence of the vortex street is to generate streamwise vorticity in the wake. Recent evidence suggests that the efficiency of this control method can be improved by forcing at the same wavelength as a secondary instability (SI) of the vortex street, present at Reynolds numbers (based on airfoil thickness, d) above 470. The objective of the present study was to investigate the variation of the SI wavelength at 2000 effect of forcing on the wake topology. The velocity field in the wake of a BTE profiled model was measured using particle image velocimetry, and proper orthogonal decomposition was applied as a filter for measurement noise. It was found that, for a laminar boundary layer, the SI wavelength decreased as Red increased. Following boundary layer transition to turbulence, the SI wavelength was insensitive to Red . This study will also examine the effect of forcing at different wavelengths on the dominant spanwise wavelength of the wake velocity field. The authors gratefully acknowledge the support of the Natural Sciences and Engineering Research Council of Canada.

  1. Synergistic combinatorial antihyperlipidemic study of selected natural antioxidants; modulatory effects on lipid profile and endogenous antioxidants.

    Science.gov (United States)

    Hannan, Peer Abdul; Khan, Jamshaid Ali; Ullah, Irfan; Ullah, Safi

    2016-09-09

    Hyperlipidemia, a major pathological condition associated with disrupted lipid levels and physiological redox homeostasis. The excessive release of reactive oxygen species (ROS) leads to enhanced lipid peroxidation, aggravated atherosclerosis and oxidative stress. Integration of natural antioxidant blends in alone or with conventional treatments can alleviate these issues synergistically contributing least side effects. Published literature reported the efficacy of natural antioxidants as individual and in combinations in various conditions but less data is available on their evaluation in low dose ratio blends particularly in hypercholesterolemic diet. Antihyperlipidemic effects of selected natural antioxidants; the phenolic oligomeric proanthocyanidins (OPC) and pterostilbene (PT) with niacin (NA) were investigated in current study. Their effects on lipid profile, lipid peroxidation and their aptitude to establish redox state between oxidants and antioxidants in body were evaluated in high cholesterol diet fed animal model. Male albino rabbits (n = 6) weighing 1.2-1.6 kg, supplemented with high cholesterol diet (400 mg/kg) for 12 weeks were used in the experiment. Antioxidants were administered individual high (100 mg/kg) and in low dose combinations (total dose = 100 mg/kg). Student's t test and one way analysis of variance (ANOVA) followed by Dunnet's test were used as statistical tools for evaluation. The results showed synergistic effects of low dose antioxidant blends. Therapies retarded elevation in blood lipid levels, lipid peroxidation and blood antioxidant depletion and consequently contributed in reestablishing redox homeostasis. The LDL/HDL ratio and atherogenic index were suppressed significantly in blend therapies with maximum effects of 59.3 and 25 % (p >0.001) observed in 50:30:20 ratios of OPC, NA and PT, compared to individual therapies 37 and 18 % max respectively. Moreover the results were also in close proximity with the statin

  2. Role of lifestyle variables on the lipid profile of selected South Indian subjects

    Directory of Open Access Journals (Sweden)

    Uma Chitra

    2012-01-01

    Conclusion: Our results confirm that diet and exercise routines significantly affect the serum lipid profile. Obesity and overweight constitute a risk factor for the development of hypercholesterolaemia and hypertriglyceridaemia.

  3. Bioavailability Studies and in vitro Profiling of the Selective Excitatory Amino Acid Transporter Subtype 1 (EAAT1) Inhibitor UCPH‐102

    DEFF Research Database (Denmark)

    Haym, Isabell; Huynh, Tri H. V.; Hansen, Stinne W.

    2016-01-01

    Although the selective excitatory amino acid transporter subtype 1 (EAAT1) inhibitor UCPH‐101 has become a standard pharmacological tool compound for in vitro and ex vivo studies in the EAAT research field, its inability to penetrate the blood–brain barrier makes it unsuitable for in vivo studies...... displayed substantially improved properties in this respect. In vitro profiling of UCPH‐102 (10 μm) at 51 central nervous system targets in radioligand binding assays strongly suggests that the compound is completely selective for EAAT1. Finally, in a rodent locomotor model, p.o. administration of UCPH‐102...

  4. Molecular identification, antifungal susceptibility profile, and biofilm formation of clinical and environmental Rhodotorula species isolates.

    Science.gov (United States)

    Nunes, Jorge Meneses; Bizerra, Fernando César; Ferreira, Renata Carmona E; Colombo, Arnaldo Lopes

    2013-01-01

    Rhodotorula species are emergent fungal pathogens capable of causing invasive infections, primarily fungemia. They are particularly problematic in immunosuppressed patients when using a central venous catheter. In this study, we evaluated the species distribution of 51 clinical and 8 environmental Rhodotorula species isolates using the ID32C system and internal transcribed spacer (ITS) sequencing. Antifungal susceptibility testing and biofilm formation capability using a crystal violet staining assay were performed. Using ITS sequencing as the gold standard, the clinical isolates were identified as follows: 44 R. mucilaginosa isolates, 2 R. glutinis isolates, 2 R. minuta isolates, 2 R. dairenensis isolates, and 1 Rhodosporidium fluviale isolate. The environmental isolates included 7 R. mucilaginosa isolates and 1 R. slooffiae isolate. Using the ID32C system, along with a nitrate assimilation test, only 90.3% of the isolates tested were correctly identified. In the biofilm formation assay, R. mucilaginosa and R. minuta exhibited greater biofilm formation ability compared to the other Rhodotorula species; the clinical isolates of R. mucilaginosa showed greater biofilm formation compared to the environmental isolates (P = 0.04). Amphotericin B showed good in vitro activity (MIC ≤ 1 μg/ml) against planktonic cells, whereas voriconazole and posaconazole showed poor activity (MIC(50)/MIC(90), 2/4 μg/ml). Caspofungin and fluconazole MICs were consistently high for all isolates tested (≥64 μg/ml and ≥ 4 μg/ml, respectively). In this study, we emphasized the importance of molecular methods to correctly identify Rhodotorula species isolates and non-R. mucilaginosa species in particular. The antifungal susceptibility profile reinforces amphotericin B as the antifungal drug of choice for the treatment of Rhodotorula infections. To our knowledge, this is the first study evaluating putative differences in the ability of biofilm formation among different Rhodotorula

  5. Isolation, identification, optimization, and metabolite profiling of Streptomyces sparsus VSM-30.

    Science.gov (United States)

    Managamuri, Ushakiranmayi; Vijayalakshmi, Muvva; Ganduri, V S Rama Krishna; Rajulapati, Satish Babu; Bonigala, Bodaiah; Kalyani, B S; Poda, Sudhakar

    2017-07-01

    Deep sea sediment samples of Bay of Bengal (Visakhapatnam) have been analyzed for actinomycetes as an elite source to screen for the production of bioactive metabolites. The actinomycetes strain VSM-30 has an exciting bioactivity profile and was isolated during our systemic screening of marine actinomycetes. It was identified as Streptomyces sparsus based on morphological, physiological, biochemical, and molecular approaches. Response surface methodology regression analysis was carried out to fit the experimental data of each response by the second-order polynomial. The results have proven right interaction among process variables at optimized values of incubation time at 12 days, pH at 8, temperature at 30 °C, concentrations of starch at 1%, and tryptone at 1% and the data have been adequately fitted into the second-order polynomial models. Under these conditions, the responses (zones of inhibition) of plant pathogenic fungi Aspergillus niger, Aspergillus flavus, Fusarium oxysporum, Fusarium solani, and Penicillium citrinum were also matched with experimental and predicted results. Chemotypic analysis of ethyl acetate extract of the strain was done using LC-Q-TOF-MS revealed the presence of bioactive compounds including tryptophan dehydrobutyrine diketopiperazine, maculosin, 7-o-demethyl albocycline, albocycline M-2, and 7-o-demethoxy-7-oxo albocycline in a negative ion mode. The ethyl acetate extract of actinobacterium has been subjected to gas chromatography and mass spectroscopy (GC-MS) revealed the presence of diverse compounds such as dotriacontane, tetracosane 11-decyl-, diheptyl phthalate, 1-hexadecanesulfonyl chloride, L-alanyl-L-tryptophan, phthalic acid ethyl pentyl ester, 4-trifluoroacetoxyhexadecane, and 1H-imidazole 4,5-dihydro-2,4-dimethyl. Hence, the ethyl acetate extract of Streptomyces sparsus VSM-30 may have antibacterial, antifungal, and antioxidant activities due to the presence of secondary metabolites in ethyl acetate extract. The study

  6. Multiparametric Profiling for Identification of Chemosensitizers against Gram-Negative Bacteria

    Directory of Open Access Journals (Sweden)

    Vincent Lôme

    2018-02-01

    Full Text Available Antibiotic resistance is now a worldwide therapeutic problem. Since the beginning of anti-infectious treatment bacteria have rapidly shown an incredible ability to develop and transfer resistance mechanisms. In the last decades, the design variation of pioneer bioactive molecules has strongly improved their activity and the pharmaceutical companies partly won the race against the clock. Since the 1980s, the new classes of antibiotics that emerged were mainly directed to Gram-positive bacteria. Thus, we are now facing to multidrug-resistant Gram-negative bacteria, with no therapeutic options to deal with them. These bacteria are mainly resistant because of their double membrane that conjointly impairs antibiotic accumulation and extrudes these molecules when entered. The main challenge is to allow antibiotics to cross the impermeable envelope and reach their targets. One promising solution would be to associate, in a combination therapy, a usual antibiotic with a non-antibiotic chemosensitizer. Nevertheless, for effective drug discovery, there is a prominent lack of tools required to understand the rules of permeation and accumulation into Gram-negative bacteria. By the use of a multidrug-resistant enterobacteria, we introduce a high-content screening procedure for chemosensitizers discovery by quantitative assessment of drug accumulation, alteration of barriers, and deduction of their activity profile. We assembled and analyzed a control chemicals library to perform the proof of concept. The analysis was based on real-time monitoring of the efflux alteration and measure of the influx increase in the presence of studied compounds in an automatized bio-assay. Then, synergistic activity of compounds with an antibiotic was studied and kinetic data reduction was performed which led to the calculation of a score for each barrier to be altered.

  7. Comparison of trapping profiles between d-peptides and glutathione in the identification of reactive metabolites

    Directory of Open Access Journals (Sweden)

    Jaana E. Laine

    2015-01-01

    Full Text Available Qualitative trapping profile of reactive metabolites arising from six structurally different compounds was tested with three different d-peptide isomers (Peptide 1, gly–tyr–pro–cys–pro–his-pro; Peptide 2, gly–tyr–pro–ala–pro–his–pro; Peptide 3, gly–tyr–arg–pro–cys–pro–his–lys–pro and glutathione (GSH using mouse and human liver microsomes as the biocatalyst. The test compounds were classified either as clinically “safe” (amlodipine, caffeine, ibuprofen, or clinically as “risky” (clozapine, nimesulide, ticlopidine; i.e., associated with severe clinical toxicity outcomes. Our working hypothesis was as follows: could the use of short different amino acid sequence containing d-peptides in adduct detection confer any add-on value to that obtained with GSH? All “risky” agents’ resulted in the formation of several GSH adducts in the incubation mixture and with at least one peptide adduct with both microsomal preparations. Amlodipine did not form any adducts with any of the trapping agents. No GSH and peptide 2 and 3 adducts were found with caffeine, but with peptide 1 one adduct with human liver microsomes was detected. Ibuprofen produced one Peptide 1-adduct with human and mouse liver microsomes but not with GSH. In conclusion, GSH still remains the gold trapping standard for reactive metabolites. However, targeted d-peptides could provide additional information about protein binding potential of electrophilic agents, but their clinical significance needs to be clarified using a wider spectrum of chemicals together with other safety estimates.

  8. Molecular identification and antifungal susceptibility profile of Aspergillus flavus isolates recovered from clinical specimens in Kuwait

    Science.gov (United States)

    2013-01-01

    Background Within the genus Aspergillus, A. flavus is the second most important species of clinical significance. It is predominantly associated with infections involving sinuses, eye and skin, mostly in geographic regions with hot and arid climate, including the Middle East. Recent reports on emergence of resistance to triazoles among Aspergillus spp. is a cause of concern for treatment of patients with invasive aspergillosis. In this study we present data on genetic characterization and antifungal susceptibility profile of clinical and environmental isolates of A. flavus. Methods Ninety-nine Aspergillus section Flavi isolates, originating from clinical (n=92) and environmental (n=7) sources, initially identified by morphological characteristics, were analyzed by partial sequencing of β-tubulin and calmodulin gene fragments and their susceptibilities to six antifungal agents was determined by Etest on RPMI1640 and Muller-Hinton agar media. Etest minimum inhibitory concentrations (MICs) of amphotericin B and voriconazole were also compared with zone of inhibition diameters obtained by disc diffusion test on RPMI agar medium. Results The identity of all clinical and environmental isolates was confirmed as A. flavus species by combined analysis of β-tubulin and calmodulin genes. The mean MIC90 (μg/ml) values on RPMI medium for amphotericin B, voriconazole, posaconazole, anidulafungin, micafungin and caspofungin were 3, 0.25, 0.25, 0.002, 0.002 and 0.032, respectively. No environmental isolate exhibited MIC value of >2 μg/ml for amphotericin B. For clinical isolates, the zone of inhibition diameters for amphotericin B and voriconazole ranged from 7–16 mm and 24–34 mm, respectively. Linear regression analysis between Etest MIC values and disk diffusion diameters revealed a significant inverse correlation with amphotericin B (p Triazoles and echinocandins showed very good in vitro activity against the A. flavus, however, 10% clinical isolates showed MICs of >2

  9. Identification and Expression Profile Analysis of Odorant Binding Proteins in the Oriental Fruit Fly Bactrocera dorsalis

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    Hongyu Zhang

    2013-07-01

    Full Text Available Olfaction is crucial in many insects for critical behaviors, including those regulating survival and reproduction. Insect odorant-binding proteins (OBPs function in the first step of the olfactory system and play an essential role in the perception of odorants, such as pheromones and host chemicals. The oriental fruit fly, Bactrocera dorsalis, is a destructive fruit-eating pest, due to its wide host range of up to 250 different types of fruits and vegetables, and this fly causes severe economic damage to the fruit and vegetable industry. However, OBP genes have not been largely identified in B. dorsalis. Based on our previously constructed B. dorsalis cDNA library, ten OBP genes were identified in B. dorsalis for the first time. A phylogenetic tree was generated to show the relationships among the 10 OBPs of B. dorsalis to OBP sequences of two other Dipteran species, including Drosophila melanogaster and the mosquito Anopheles gambiae. The expression profiles of the ten OBPs in different tissues (heads, thoraxes, abdomens, legs, wings, male antennae and female antenna of the mated adults were analyzed by real-time PCR. The results showed that nine of them are highly expressed in the antenna of both sexes, except BdorOBP7. Four OBPs (BdorOBP1, BdorOBP4, BdorOBP8, and BdorOBP10 are also enriched in the abdomen, and BdorOBP7 is specifically expressed in leg, indicating that it may function in other biological processes. This work will provide insight into the roles of OBPs in chemoreception and help develop new pest-control strategies.

  10. Identification of genes related to beak deformity of chickens using digital gene expression profiling.

    Directory of Open Access Journals (Sweden)

    Hao Bai

    Full Text Available Frequencies of up to 3% of beak deformity (normally a crossed beak occur in some indigenous chickens in China, such as and Beijing-You. Chickens with deformed beaks have reduced feed intake, growth rate, and abnormal behaviors. Beak deformity represents an economic as well as an animal welfare problem in the poultry industry. Because the genetic basis of beak deformity remains incompletely understood, the present study sought to identify important genes and metabolic pathways involved in this phenotype. Digital gene expression analysis was performed on deformed and normal beaks collected from Beijing-You chickens to detect global gene expression differences. A total of >11 million cDNA tags were sequenced, and 5,864,499 and 5,648,877 clean tags were obtained in the libraries of deformed and normal beaks, respectively. In total, 1,156 differentially expressed genes (DEG were identified in the deformed beak with 409 being up-regulated and 747 down-regulated in the deformed beaks. qRT-PCR using eight genes was performed to verify the results of DGE profiling. Gene ontology (GO analysis highlighted that genes of the keratin family on GGA25 were abundant among the DEGs. Pathway analysis showed that many DEGs were linked to the biosynthesis of unsaturated fatty acids and glycerolipid metabolism. Combining the analyses, 11 genes (MUC, LOC426217, BMP4, ACAA1, LPL, ALDH7A1, GLA, RETSAT, SDR16C5, WWOX, and MOGAT1 were highlighted as potential candidate genes for beak deformity in chickens. Some of these genes have been identified previously, while others have unknown function with respect to thus phenotype. To the best of our knowledge, this is the first genome-wide study to investigate the transcriptome differences in the deformed and normal beaks of chickens. The DEGs identified here are worthy of further functional characterization.

  11. Identification of Bioactivity, Volatile and Fatty Acid Profile in Supercritical Fluid Extracts of Mexican arnica

    Directory of Open Access Journals (Sweden)

    J. Saúl García-Pérez

    2016-09-01

    Full Text Available Supercritical fluid extraction (SFE is a sustainable technique used for the extraction of lipophilic metabolites such as pigments and fatty acids. Arnica plant is considered a potential candidate material with high antioxidant and antimicrobial activities. Therefore, in this study, a locally available Heterotheca inuloides, also known as Mexican arnica, was analyzed for the extraction of high-value compounds. Based on different pressure (P, temperature (T, and co-solvent (CoS, four treatments (T were prepared. A maximum 7.13% yield was recovered from T2 (T = 60 °C, P = 10 MPa, CoS = 8 g/min, followed by 6.69% from T4 (T = 60 °C, P = 30 MPa, CoS = 4 g/min. Some bioactive sesquiterpenoids such as 7-hydroxycadalene, caryophyllene and δ-cadinene were identified in the extracts by GC/MS. The fatty acid profile revealed that the main components were palmitic acid (C16:0, followed by linoleic acid (C18:2ω6c, α-linolenic acid (C18:3ω3 and stearic acid (C18:0 differing in percent yield per treatment. Antibacterial activities were determined by the agar diffusion method, indicating that all the treatments exerted strong antibacterial activity against S. aureus, C. albicans, and E. coli strains. The antioxidant capacity of the extracts was also measured by three in vitro assays, DPPH, TEAC and FRAP, using Trolox as a standard. Results showed high antioxidant capacity enabling pharmaceutical applications of Mexican arnica.

  12. Joint analysis of expression profiles from multiple cancers improves the identification of microRNA–gene interactions

    Science.gov (United States)

    Chen, Xiaowei; Slack, Frank J.; Zhao, Hongyu

    2013-01-01

    Motivation: MicroRNAs (miRNAs) play a crucial role in tumorigenesis and development through their effects on target genes. The characterization of miRNA–gene interactions will lead to a better understanding of cancer mechanisms. Many computational methods have been developed to infer miRNA targets with/without expression data. Because expression datasets are in general limited in size, most existing methods concatenate datasets from multiple studies to form one aggregated dataset to increase sample size and power. However, such simple aggregation analysis results in identifying miRNA–gene interactions that are mostly common across datasets, whereas specific interactions may be missed by these methods. Recent releases of The Cancer Genome Atlas data provide paired expression profiling of miRNAs and genes in multiple tumors with sufficiently large sample size. To study both common and cancer-specific interactions, it is desirable to develop a method that can jointly analyze multiple cancers to study miRNA–gene interactions without combining all the data into one single dataset. Results: We developed a novel statistical method to jointly analyze expression profiles from multiple cancers to identify miRNA–gene interactions that are both common across cancers and specific to certain cancers. The benefit of this joint analysis approach is demonstrated by both simulation studies and real data analysis of The Cancer Genome Atlas datasets. Compared with simple aggregate analysis or single sample analysis, our method can effectively use the shared information among different but related cancers to improve the identification of miRNA–gene interactions. Another useful property of our method is that it can estimate similarity among cancers through their shared miRNA–gene interactions. Availability and implementation: The program, MCMG, implemented in R is available at http://bioinformatics.med.yale.edu/group/. Contact: hongyu.zhao@yale.edu PMID:23772050

  13. A proteogenomics approach integrating proteomics and ribosome profiling increases the efficiency of protein identification and enables the discovery of alternative translation start sites.

    Science.gov (United States)

    Koch, Alexander; Gawron, Daria; Steyaert, Sandra; Ndah, Elvis; Crappé, Jeroen; De Keulenaer, Sarah; De Meester, Ellen; Ma, Ming; Shen, Ben; Gevaert, Kris; Van Criekinge, Wim; Van Damme, Petra; Menschaert, Gerben

    2014-12-01

    Next-generation transcriptome sequencing is increasingly integrated with MS to enhance MS-based protein and peptide identification. Recently, a breakthrough in transcriptome analysis was achieved with the development of ribosome profiling (ribo-seq). This technology is based on the deep sequencing of ribosome-protected mRNA fragments, thereby enabling the direct observation of in vivo protein synthesis at the transcript level. In order to explore the impact of a ribo-seq-derived protein sequence search space on MS/MS spectrum identification, we performed a comprehensive proteome study on a human cancer cell line, using both shotgun and N-terminal proteomics, next to ribosome profiling, which was used to delineate (alternative) translational reading frames. By including protein-level evidence of sample-specific genetic variation and alternative translation, this strategy improved the identification score of 69 proteins and identified 22 new proteins in the shotgun experiment. Furthermore, we discovered 18 new alternative translation start sites in the N-terminal proteomics data and observed a correlation between the quantitative measures of ribo-seq and shotgun proteomics with a Pearson correlation coefficient ranging from 0.483 to 0.664. Overall, this study demonstrated the benefits of ribosome profiling for MS-based protein and peptide identification and we believe this approach could develop into a common practice for next-generation proteomics. © 2014 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

  14. The effect of achievement test selection on identification of learning disabilities within a patterns of strengths and weaknesses framework.

    Science.gov (United States)

    Miciak, Jeremy; Taylor, W Pat; Denton, Carolyn A; Fletcher, Jack M

    2015-09-01

    Few empirical investigations have evaluated learning disabilities (LD) identification methods based on a pattern of cognitive strengths and weaknesses (PSW). This study investigated the reliability of LD classification decisions of the concordance/discordance method (C/DM) across different psychoeducational assessment batteries. C/DM criteria were applied to assessment data from 177 second-grade students based on 2 psychoeducational assessment batteries. The achievement tests were different, but were highly correlated and measured the same latent construct. Resulting LD identifications were then evaluated for agreement across batteries on LD status and the academic domain of eligibility. The 2 batteries identified a similar number of participants as having LD (80 and 74). However, indices of agreement for classification decisions were low (κ = .29), especially for percent positive agreement (62%). The 2 batteries demonstrated agreement on the academic domain of eligibility for only 25 participants. Cognitive discrepancy frameworks for LD identification are inherently unstable because of imperfect reliability and validity at the observed level. Methods premised on identifying a PSW profile may never achieve high reliability because of these underlying psychometric factors. An alternative is to directly assess academic skills to identify students in need of intervention. (c) 2015 APA, all rights reserved).

  15. THE REDSHIFT EVOLUTION OF THE MEAN TEMPERATURE, PRESSURE, AND ENTROPY PROFILES IN 80 SPT-SELECTED GALAXY CLUSTERS

    Energy Technology Data Exchange (ETDEWEB)

    McDonald, M.; Benson, B. A.; Vikhlinin, A.; Aird, K. A.; Allen, S. W.; Bautz, M.; Bayliss, M.; Bleem, L. E.; Bocquet, S.; Brodwin, M.; Carlstrom, J. E.; Chang, C. L.; Cho, H. M.; Clocchiatti, A.; Crawford, T. M.; Crites, A. T.; de Haan, T.; Dobbs, M. A.; Foley, R. J.; Forman, W. R.; George, E. M.; Gladders, M. D.; Gonzalez, A. H.; Halverson, N. W.; Hlavacek-Larrondo, J.; Holder, G. P.; Holzapfel, W. L.; Hrubes, J. D.; Jones, C.; Keisler, R.; Knox, L.; Lee, A. T.; Leitch, E. M.; Liu, J.; Lueker, M.; Luong-Van, D.; Mantz, A.; Marrone, D. P.; McMahon, J. J.; Meyer, S. S.; Miller, E. D.; Mocanu, L.; Mohr, J. J.; Murray, S. S.; Padin, S.; Pryke, C.; Reichardt, C. L.; Rest, A.; Ruhl, J. E.; Saliwanchik, B. R.; Saro, A.; Sayre, J. T.; Schaffer, K. K.; Shirokoff, E.; Spieler, H. G.; Stalder, B.; Stanford, S. A.; Staniszewski, Z.; Stark, A. A.; Story, K. T.; Stubbs, C. W.; Vanderlinde, K.; Vieira, J. D.; Williamson, R.; Zahn, O.; Zenteno, A.

    2014-09-24

    We present the results of an X-ray analysis of 80 galaxy clusters selected in the 2500 deg(2) South Pole Telescope survey and observed with the Chandra X-ray Observatory. We divide the full sample into subsamples of ~20 clusters based on redshift and central density, performing a joint X-ray spectral fit to all clusters in a subsample simultaneously, assuming self-similarity of the temperature profile. This approach allows us to constrain the shape of the temperature profile over 0 < r < 1.5R (500), which would be impossible on a per-cluster basis, since the observations of individual clusters have, on average, 2000 X-ray counts. The results presented here represent the first constraints on the evolution of the average temperature profile from z = 0 to z = 1.2. We find that high-z (0.6 < z < 1.2) clusters are slightly (~30%) cooler both in the inner (r < 0.1R (500)) and outer (r > R (500)) regions than their low-z (0.3 < z < 0.6) counterparts. Combining the average temperature profile with measured gas density profiles from our earlier work, we infer the average pressure and entropy profiles for each subsample. Confirming earlier results from this data set, we find an absence of strong cool cores at high z, manifested in this analysis as a significantly lower observed pressure in the central 0.1R (500) of the high-z cool-core subset of clusters compared to the low-z cool-core subset. Overall, our observed pressure profiles agree well with earlier lower-redshift measurements, suggesting minimal redshift evolution in the pressure profile outside of the core. We find no measurable redshift evolution in the entropy profile at r lsim 0.7R (500)—this may reflect a long-standing balance between cooling and feedback over long timescales and large physical scales. We observe a slight flattening of the entropy profile at r gsim R (500) in our high-z subsample. This flattening is consistent with a temperature bias due to the enhanced (~3×) rate at which group-mass (~2

  16. At-line coupling of LC-MS to bioaffinity and selectivity assessment for metabolic profiling of ligands towards chemokine receptors CXCR1 and CXCR2

    NARCIS (Netherlands)

    Mladic, Marija; Scholten, Danny J; Niessen, Wilfried M A; Somsen, Govert W; Smit, Martine J; Kool, Jeroen

    2015-01-01

    This study describes an analytical method for bioaffinity and selectivity assessment of CXCR2 antagonists and their metabolites. The method is based on liquid chromatographic separation (LC) of metabolic mixtures followed by parallel mass spectrometry (MS) identification and bioaffinity

  17. Identification of a distinct developmental and behavioral profile in children with Dup15q syndrome.

    Science.gov (United States)

    DiStefano, Charlotte; Gulsrud, Amanda; Huberty, Scott; Kasari, Connie; Cook, Edwin; Reiter, Lawrence T; Thibert, Ronald; Jeste, Shafali Spurling

    2016-01-01

    One of the most common genetic variants associated with autism spectrum disorder (ASD) are duplications of chromosome 15q11.2-q13.1 (Dup15q syndrome). To identify distinctive developmental and behavioral features in Dup15q syndrome, we examined the social communication, adaptive, and cognitive skills in clinic-referred subjects and compared the characteristics of children with Dup15q syndrome to age/IQ-matched children with non-syndromic ASD. Behavior and development were also analyzed within the Dup15q group for differences related to copy number or epilepsy. Participants included 13 children with Dup15q syndrome and 13 children with non-syndromic ASD, matched on chronological and mental age, ages 22 months-12 years. In the Dup15q group, ten participants had isodicentric and three had interstitial duplications. Four children had active epilepsy (all isodicentric). Participants were assessed for verbal and non-verbal cognition, ASD characteristics based on the Autism Diagnostic Observation Schedule (ADOS), and adaptive function based on the Vineland Adaptive Behavior Scales (VABS). Group comparisons were performed between Dup15q and ASD participants, as well as within the Dup15q group based on duplication type and epilepsy status. All children with Dup15q syndrome met the criteria for ASD; ASD severity scores were significantly lower than children in the non-syndromic ASD group. ADOS profiles demonstrated a relative strength in items related to social interest. Children with Dup15q syndrome also demonstrated significantly more impairment in motor and daily living skills. Within the Dup15q group, children with epilepsy demonstrated significantly lower cognitive and adaptive function than those without epilepsy. The relative strength observed in social interest and responsiveness in the context of impaired motor skills represents an important avenue for intervention, including aggressive treatment of epilepsy, early and consistent focus on motor skills, and

  18. Identification of Novel and Conserved microRNAs in Homalodisca vitripennis, the Glassy-Winged Sharpshooter by Expression Profiling.

    Directory of Open Access Journals (Sweden)

    Raja Sekhar Nandety

    Full Text Available The glassy-winged sharpshooter (GWSS Homalodisca vitripennis (Hemiptera: Cicadellidae, is a xylem-feeding leafhopper and an important vector of the bacterium Xylella fastidiosa; the causal agent of Pierce's disease of grapevines. MicroRNAs are a class of small RNAs that play an important role in the functional development of various organisms including insects. In H. vitripennis, we identified microRNAs using high-throughput deep sequencing of adults followed by computational and manual annotation. A total of 14 novel microRNAs that are not found in the miRBase were identified from adult H. vitripennis. Conserved microRNAs were also found in our datasets. By comparison to our previously determined transcriptome sequence of H. vitripennis, we identified the potential targets of the microRNAs in the transcriptome. This microRNA profile information not only provides a more nuanced understanding of the biological and physiological mechanisms that govern gene expression in H. vitripennis, but may also lead to the identification of novel mechanisms for biorationally designed management strategies through the use of microRNAs.

  19. Genome-wide identification of VQ motif-containing proteins and their expression profiles under abiotic stresses in maize

    Directory of Open Access Journals (Sweden)

    Weibin eSong

    2016-01-01

    Full Text Available VQ motif-containing proteins play crucial roles in abiotic stress responses in plants. Recent studies have shown that some VQ proteins physically interact with WRKY transcription factors to activate downstream genes. In the present study, we identified and characterized genes encoding VQ motif-containing proteins using the most recent version of the maize genome sequence. In total, 61VQ genes were identified. In a cluster analysis, these genes clustered into nine groups together with their homologous genes in rice and Arabidopsis. Most of the VQ genes (57 out of 61 numbers identified in maize were found to be single-copy genes. Analyses of RNA-seq data obtained using seedlings under long-term drought treatment showed that the expression levels of most ZmVQ genes (41 out of 61 members changed during the drought stress response. Quantitative real-time PCR analyses showed that most of the ZmVQ genes were responsive to NaCl treatment. Also, approximately half of the ZmVQ genes were co-expressed with ZmWRKY genes. The identification of these VQ genes in the maize genome and knowledge of their expression profiles under drought and osmotic stresses will provide a solid foundation for exploring their specific functions in the abiotic stress responses of maize.

  20. Genome-wide identification and expression profiling of the SOX gene family in a bivalve mollusc Patinopecten yessoensis.

    Science.gov (United States)

    Yu, Jiachen; Zhang, Lingling; Li, Yangping; Li, Ruojiao; Zhang, Meiwei; Li, Wanru; Xie, Xinran; Wang, Shi; Hu, Xiaoli; Bao, Zhenmin

    2017-09-05

    SOX family is composed of transcription factors that play vital roles in various developmental processes. Comprehensive understanding on evolution of the SOX family requires full characterization of SOX genes in different phyla. Mollusca is the second largest metazoan phylum, but till now, systematic investigation on the SOX family is still lacking in this phylum. In this study, we conducted genome-wide identification of the SOX family in Yesso scallop Patinopecten yessoensis and profiled their tissue distribution and temporal expression patterns in the ovaries and testes during gametogenesis. Seven SOX genes were identified, including SOXB1, B2, C, D, E, F and H, representing the first record in protostomes with SOX members identical to that proposed to exist in the last common ancestor of chordates. Genomic structure analysis identified relatively conserved exon-intron structures, accompanied by intron insertion. Quantitative real-time PCR analysis revealed possible involvement of scallop SOX in various functions, including neuro-sensory cell differentiation, hematopoiesis, myogenesis and gametogenesis. This study represents the first systematic characterization of SOX gene family in Mollusca. It will assist in a better understanding of the evolution and function of SOX family in metazoans. Copyright © 2017 Elsevier B.V. All rights reserved.

  1. Application of Advanced Numerical Methods in the Identification of Selected Parameters of Synchronous Machines

    Directory of Open Access Journals (Sweden)

    UHRIK Milan

    2013-10-01

    Full Text Available In this paper are analyzed the impacts of change of basic electrical parameters on input/output characteristics of synchronous machine. Some of these impacts can be considered as single-valued functionsand they can be used for identification of missing unknown parameters of the respective synchronous machine. The identification can be performed by comparing the input/output characteristics betweenthe computer model of the machine and characteristics of real machine. For optimizing the error both numeric al methods and genetic algorithms were used.

  2. Transcriptome Profiling of Louisiana iris Root and Identification of Genes Involved in Lead-Stress Response

    Directory of Open Access Journals (Sweden)

    Songqing Tian

    2015-11-01

    Full Text Available Louisiana iris is tolerant to and accumulates the heavy metal lead (Pb. However, there is limited knowledge of the molecular mechanisms behind this feature. We describe the transcriptome of Louisiana iris using Illumina sequencing technology. The root transcriptome of Louisiana iris under control and Pb-stress conditions was sequenced. Overall, 525,498 transcripts representing 313,958 unigenes were assembled using the clean raw reads. Among them, 43,015 unigenes were annotated and their functions classified using the euKaryotic Orthologous Groups (KOG database. They were divided into 25 molecular families. In the Gene Ontology (GO database, 50,174 unigenes were categorized into three GO trees (molecular function, cellular component and biological process. After analysis of differentially expressed genes, some Pb-stress-related genes were selected, including biosynthesis genes of chelating compounds, metal transporters, transcription factors and antioxidant-related genes. This study not only lays a foundation for further studies on differential genes under Pb stress, but also facilitates the molecular breeding of Louisiana iris.

  3. Identification and adhesion profile of Lactobacillus spp. strains isolated from poultry

    Directory of Open Access Journals (Sweden)

    Ticiana Silva Rocha

    2014-09-01

    Full Text Available In the aviculture industry, the use of Lactobacillus spp. as a probiotic has been shown to be frequent and satisfactory, both in improving bird production indexes and in protecting intestine against colonization by pathogenic bacteria. Adhesion is an important characteristic in selecting Lactobacillus probiotic strains since it impedes its immediate elimination to enable its beneficial action in the host. This study aimed to isolate, identify and characterize the in vitro and in vivo adhesion of Lactobacillus strains isolated from birds. The Lactobacillus spp. was identified by PCR and sequencing and the strains and its adhesion evaluated in vitro via BMM cell matrix and in vivo by inoculation in one-day-old birds. Duodenum, jejunum, ileum and cecum were collected one, four, 12 and 24 h after inoculation. The findings demonstrate greater adhesion of strains in the cecum and an important correlation between in vitro and in vivo results. It was concluded that BMM utilization represents an important technique for triage of Lactobacillus for subsequent in vivo evaluation, which was shown to be efficient in identifying bacterial adhesion to the enteric tract.

  4. Identification and adhesion profile of Lactobacillus spp. strains isolated from poultry.

    Science.gov (United States)

    Rocha, Ticiana Silva; Baptista, Ana Angelita Sampaio; Donato, Tais Cremasco; Milbradt, Elisane Lenita; Okamoto, Adriano Sakai; Andreatti Filho, Raphael Lucio

    2014-01-01

    In the aviculture industry, the use of Lactobacillus spp. as a probiotic has been shown to be frequent and satisfactory, both in improving bird production indexes and in protecting intestine against colonization by pathogenic bacteria. Adhesion is an important characteristic in selecting Lactobacillus probiotic strains since it impedes its immediate elimination to enable its beneficial action in the host. This study aimed to isolate, identify and characterize the in vitro and in vivo adhesion of Lactobacillus strains isolated from birds. The Lactobacillus spp. was identified by PCR and sequencing and the strains and its adhesion evaluated in vitro via BMM cell matrix and in vivo by inoculation in one-day-old birds. Duodenum, jejunum, ileum and cecum were collected one, four, 12 and 24 h after inoculation. The findings demonstrate greater adhesion of strains in the cecum and an important correlation between in vitro and in vivo results. It was concluded that BMM utilization represents an important technique for triage of Lactobacillus for subsequent in vivo evaluation, which was shown to be efficient in identifying bacterial adhesion to the enteric tract.

  5. PCI-GC-MS-MS approach for identification of non-amino organic acid and amino acid profiles.

    Science.gov (United States)

    Luan, Hemi; Yang, Lin; Ji, Fenfen; Cai, Zongwei

    2017-03-15

    Alkyl chloroformate have been wildly used for the fast derivatization of metabolites with amino and/or carboxyl groups, coupling of powerful separation and detection systems, such as GC-MS, which allows the comprehensive analysis of non-amino organic acids and amino acids. The reagents involving n-alkyl chloroformate and n-alcohol are generally employed for providing symmetric labeling terminal alkyl chain with the same length. Here, we developed an asymmetric labeling strategy and positive chemical ionization gas chromatography-tandem mass spectrometry (PCI-GC-MS-MS) approach for determination of non-amino organic acids and amino acids, as well as the short chain fatty acids. Carboxylic and amino groups could be selectively labelled by propyl and ethyl groups, respectively. The specific neutral loss of C3H8O (60Da), C3H5O2 (74Da) and C4H8O2 (88Da) were useful in the selective identification for qualitative analysis of organic acids and amino acid derivatives. PCI-GC-MS-MS using multiple reaction monitoring (MRM) was applied for semi-quantification of typical non-amino organic acids and amino acids. This method exhibited a wide range of linear range, good regression coefficient (R2) and repeatability. The relative standard deviation (RSD) of targeted metabolites showed excellent intra- and inter-day precision (GC-MS-MS, coupled with alkyl chloroformate derivatization. Copyright © 2016 Elsevier B.V. All rights reserved.

  6. Sound leakage identification for an enclosed room using the probabilistic approach and model class selection index: An experiment

    Science.gov (United States)

    Kung, W. T.; Lee, Y. Y.; Sun, H. Y.

    2008-03-01

    This study presents a full-scale experiment to identify the sound leakages on a wall of an enclosed room using the probabilistic approach. This study furthers the work in companion papers [Y.Y. Lee et al., Reconstruction of the interior sound pressure of a room using the probabilistic approach, Journal of Sound and Vibration 298(4-5) (2006) 887-891; H.Y. Sun et al., Distinguishing between the interior pressures induced from two independent sources within a room using the probabilistic approach, Applied Acoustics (2007), accepted and forthcoming; T.C. Hsia, System Identification: Least-Squares Methods, Lexington Books, D.C., Heath and Company, Lexington, MA, 1977]. A model class selection index is developed and used to identify the number of leakages, which is an unknown parameter in the identification process. The experiment was conducted to prove the validity of the probabilistic approach.

  7. SNPs selected by information content outperform randomly selected microsatellite loci for delineating genetic identification and introgression in the endangered dark European honeybee (Apis mellifera mellifera).

    Science.gov (United States)

    Muñoz, Irene; Henriques, Dora; Jara, Laura; Johnston, J Spencer; Chávez-Galarza, Julio; De La Rúa, Pilar; Pinto, M Alice

    2017-07-01

    The honeybee (Apis mellifera) has been threatened by multiple factors including pests and pathogens, pesticides and loss of locally adapted gene complexes due to replacement and introgression. In western Europe, the genetic integrity of the native A. m. mellifera (M-lineage) is endangered due to trading and intensive queen breeding with commercial subspecies of eastern European ancestry (C-lineage). Effective conservation actions require reliable molecular tools to identify pure-bred A. m. mellifera colonies. Microsatellites have been preferred for identification of A. m. mellifera stocks across conservation centres. However, owing to high throughput, easy transferability between laboratories and low genotyping error, SNPs promise to become popular. Here, we compared the resolving power of a widely utilized microsatellite set to detect structure and introgression with that of different sets that combine a variable number of SNPs selected for their information content and genomic proximity to the microsatellite loci. Contrary to every SNP data set, microsatellites did not discriminate between the two lineages in the PCA space. Mean introgression proportions were identical across the two marker types, although at the individual level, microsatellites' performance was relatively poor at the upper range of Q-values, a result reflected by their lower precision. Our results suggest that SNPs are more accurate and powerful than microsatellites for identification of A. m. mellifera colonies, especially when they are selected by information content. © 2016 John Wiley & Sons Ltd.

  8. Identification of potential biomarkers and drugs for papillary thyroid cancer based on gene expression profile analysis.

    Science.gov (United States)

    Qu, Ting; Li, Yan-Ping; Li, Xiao-Hong; Chen, Yan

    2016-12-01

    The present study aimed to systematically examine the molecular mechanisms of papillary thyroid cancer (PTC), and identify potential biomarkers and drugs for the treatment of PTC. Two microarray data sets (GSE3467 and GSE3678), containing 16 PTC samples and 16 paired normal samples, were downloaded from the Gene Expression Omnibus database. The differentially expressed genes (DEGs) were identified using the Linear Models for Microarray Analysis package. Subsequently, the common DEGs were screened for functional and pathway enrichment analysis using the Database for Annotation Visualization and Integrated Discovery. The representative interaction subnetwork was further derived using Molecular Complex Detection software. In addition, the potential drugs for the hub DEGs in the subnetwork were screened from DrugBank and the potential drug‑like ligands, which interacted with genes, were selected using MTiOpenScreen. A total of 167 common DEGs, including 77 upregulated and 90 downregulated DEGs, were screened. The common DEGs were associated with the functions of plasma membrane, extracellular matrix, response to steroid hormone stimulus and cell adhesion, and the pathways of tyrosine metabolism and cell adhesion molecules were significantly enriched. A total of eight common DEGs (MET, SERPINA1, LGALS3, FN1, TNFRSF11B, LAMB3 and COL13A1) were involved in the subnetwork. The two drugs, lanoteplase and ocriplasmin, and four drugs, β‑mercaptoethanol, recombinant α 1‑antitrypsin, PPL‑100 and API, were found for FN1 and SERPINA1, respectively. The common DEGs identified may be potential biomarkers for PCT. FN1 and SERPINA1 may be involved in PTC by regulating epithelial‑to‑mesenchymal transition and responding to steroid hormone stimuli, respectively. Ocriplasmin, β‑mercaptoethanol and recombinant α 1‑antitrypsin may be potential drugs for the treatment of PTC.

  9. Identification of sources and estimation of emission profiles from highly time-resolved pollutant measurements in Tampa, FL

    Science.gov (United States)

    Pancras, Joseph Patrick; Ondov, John M.; Poor, Noreen; Landis, Matthew S.; Stevens, Robert K.

    Aerosol slurry samples were collected at 30-min intervals for sequential 1-month periods at each of two sites (Sydney and "Dairy") in the Tampa Bay area during the 2002 Bay Regional Atmospheric Chemistry Experiment using the University of Maryland Semicontinuous Elements in Aerosol Sampler-II (SEAS-II). More than 500 samples, believed to be affected by plumes from local utility and industrial sources, were selected for electrothermal atomic absorption spectrophotometric analyses for elemental markers (Al, Fe, Cr, Cu, Mn, Pb, Se, As, Ni, Zn and Cd) based on excursions in SO 2 and NO x measurements. Correlation of short-term excursions in metals and SO 2, and surface wind directions observed between May 23 and 26th, 2002, revealed the influence of an animal feed supplements production facility (AFS), 17 km upwind at a station angle of 81°, for which emissions had not previously been detected by standard monitoring methods. Emission "profiles" for this source were developed, separately, from the time series data and by using principle components analysis (PCA) and positive matrix factorization (PMF). In addition, a local dust component was evident in Al and Fe concentration profiles during periods of elevated wind speeds and was resolved by PCA/PMF. Similarly, large but brief 1.5-h excursions in Zn (maximum, 403 ng m -3), Cd, and Pb on May 17th were correlated with winds from the direction of an incinerator (station angle, 250°) 17 km from Sydney. Lastly, large excursions in As concentrations (maximum, 86 ng m -3) observed (May 4th and 5th at Sydney and November 2nd and 3rd at the Dairy) were used to locate previously unrecognized sources, tentatively associated with combustion/production of pressure-treated lumber. Profiles developed directly from the time series data were in the range of those derived from PCA-PMF (AFS); and those for the incinerator, with previously published values.

  10. Selectivity Profiling and Biological Activity of Novel β-Carbolines as Potent and Selective DYRK1 Kinase Inhibitors.

    Directory of Open Access Journals (Sweden)

    Katharina Rüben

    Full Text Available DYRK1A is a pleiotropic protein kinase with diverse functions in cellular regulation, including cell cycle control, neuronal differentiation, and synaptic transmission. Enhanced activity and overexpression of DYRK1A have been linked to altered brain development and function in Down syndrome and neurodegenerative diseases such as Alzheimer's disease. The β-carboline alkaloid harmine is a high affinity inhibitor of DYRK1A but suffers from the drawback of inhibiting monoamine oxidase A (MAO-A with even higher potency. Here we characterized a series of novel harmine analogs with minimal or absent MAO-A inhibitory activity. We identified several inhibitors with submicromolar potencies for DYRK1A and selectivity for DYRK1A and DYRK1B over the related kinases DYRK2 and HIPK2. An optimized inhibitor, AnnH75, inhibited CLK1, CLK4, and haspin/GSG2 as the only off-targets in a panel of 300 protein kinases. In cellular assays, AnnH75 dose-dependently reduced the phosphorylation of three known DYRK1A substrates (SF3B1, SEPT4, and tau without negative effects on cell viability. AnnH75 inhibited the cotranslational tyrosine autophosphorylation of DYRK1A and threonine phosphorylation of an exogenous substrate protein with similar potency. In conclusion, we have characterized an optimized β-carboline inhibitor as a highly selective chemical probe that complies with desirable properties of drug-like molecules and is suitable to interrogate the function of DYRK1A in biological studies.

  11. Identification of the first highly selective inhibitor of human GABA transporter GAT3

    DEFF Research Database (Denmark)

    Damgaard, Maria; Al-Khawaja, Anas; Vogensen, Stine B.

    2015-01-01

    Screening a library of small-molecule compounds using a cell line expressing human GABA transporter 3 (hGAT3) in a [(3)H]GABA uptake assay identified isatin derivatives as a new class of hGAT3 inhibitors. A subsequent structure-activity relationship (SAR) study led to the identification of hGAT3...

  12. Identification of genes showing differential expression profile associated with growth rate in skeletal muscle tissue of Landrace weanling pig.

    Science.gov (United States)

    Komatsu, Yuuta; Sukegawa, Shin; Yamashita, Mai; Katsuda, Naoki; Tong, Bin; Ohta, Takeshi; Kose, Hiroyuki; Yamada, Takahisa

    2016-06-01

    Suppression subtractive hybridization was used to identify genes showing differential expression profile associated with growth rate in skeletal muscle tissue of Landrace weanling pig. Two subtracted cDNA populations were generated from musculus longissimus muscle tissues of selected pigs with extreme expected breeding values at the age of 100 kg. Three upregulated genes (EEF1A2, TSG101 and TTN) and six downregulated genes (ATP5B, ATP5C1, COQ3, HADHA, MYH1 and MYH7) in pig with genetic propensity for higher growth rate were identified by sequence analysis of 12 differentially expressed clones selected by differential screening following the generation of the subtracted cDNA population. Real-time PCR analysis confirmed difference in expression profiles of the identified genes in musculus longissimus muscle tissues between the two Landrace weanling pig groups with divergent genetic propensity for growth rate. Further, differential expression of the identified genes except for the TTN was validated by Western blot analysis. Additionally, the eight genes other than the ATP5C1 colocalized with the same chromosomal positions as QTLs that have been previously identified for growth rate traits. Finally, the changes of expression predicted from gene function suggested association of upregulation of expression of the EEF1A2, TSG101 and TTN genes and downregulation of the ATP5B, ATP5C1, COQ3, HADHA, MYH1 and MYH7 gene expression with increased growth rate. The identified genes will provide an important insight in understanding the molecular mechanism underlying growth rate in Landrace pig breed.

  13. Identification, classification, and expression profiles of heat shock transcription factors in tea plant (Camellia sinensis) under temperature stress.

    Science.gov (United States)

    Liu, Zhi-Wei; Wu, Zhi-Jun; Li, Xing-Hui; Huang, Ying; Li, Hui; Wang, Yong-Xin; Zhuang, Jing

    2016-01-15

    In vascular plants, heat shock transcription factors (Hsfs) regulate heat stress response by regulating the expression of heat shock proteins. This study systematically and comprehensively analyzed the Hsf family in tea plant [Camellia sinensis (L.) O. Kuntze]. A total of 16 CsHsfs were identified from the transcriptome database of tea plant and analyzed for their phylogenetic relationships, motifs, and physicochemical characteristics. On the basis of the phylogenetic comparison of tea plant with Arabidopsis thaliana, Populus trichocarpa, Theobroma cacao, and Oryza sativa, the CsHsfs were classified into three classes, namely, A (56.25%), B (37.50%), and C (6.25%). Heat mapping showed that the expression profiles of CsHsf genes under non-stress conditions varied among four tea plant cultivars, namely, 'Yunnanshilixiang', 'Chawansanhao', 'Ruchengmaoyecha', and 'Anjibaicha'. Six CsHsf genes (CsHsfA1a, CsHsfA1b, CsHsfA6, CsHsfB1, CsHsfB2b, and CsHsfC1) were selected from classes A, B, and C to analyze the expression profiles of CsHsf genes through quantitative real-time PCR in 'Yingshuang', 'Anjibaicha', and 'Yunnanshilixiang' under high (38 °C) or low (4 °C) temperature stress. Temperature stress positively or negatively regulated all of the selected CsHsf genes, and the expression levels evidently varied even among CsHsf genes belonging to the same class. This study provided a relatively detailed summary of Hsfs in tea plant and may serve as a reference for further studies on the mechanism of temperature stress regulation by CsHsfs. Copyright © 2015 Elsevier B.V. All rights reserved.

  14. Identification of Phox2b-regulated genes by expression profiling of cranial motoneuron precursors

    Directory of Open Access Journals (Sweden)

    Reiprich Simone

    2008-06-01

    Full Text Available Abstract Background Branchiomotor neurons comprise an important class of cranial motor neurons that innervate the branchial-arch-derived muscles of the face, jaw and neck. They arise in the ventralmost progenitor domain of the rhombencephalon characterized by expression of the homeodomain transcription factors Nkx2.2 and Phox2b. Phox2b in particular plays a key role in the specification of branchiomotor neurons. In its absence, generic neuronal differentiation is defective in the progenitor domain and no branchiomotor neurons are produced. Conversely, ectopic expression of Phox2b in spinal regions of the neural tube promotes cell cycle exit and neuronal differentiation and, at the same time, induces genes and an axonal phenotype characteristic for branchiomotor neurons. How Phox2b exerts its pleiotropic functions, both as a proneural gene and a neuronal subtype determinant, has remained unknown. Results To gain further insights into the genetic program downstream of Phox2b, we searched for novel Phox2b-regulated genes by cDNA microarray analysis of facial branchiomotor neuron precursors from heterozygous and homozygous Phox2b mutant embryos. We selected for functional studies the genes encoding the axonal growth promoter Gap43, the Wnt antagonist Sfrp1 and the transcriptional regulator Sox13, which were not previously suspected to play roles downstream of Phox2b and whose expression was affected by Phox2b misexpression in the spinal cord. While Gap43 did not produce an obvious phenotype when overexpressed in the neural tube, Sfrp1 induced the interneuron marker Lhx1,5 and Sox13 inhibited neuronal differentiation. We then tested whether Sfrp1 and Sox13, which are down-regulated by Phox2b in the facial neuron precursors, would antagonize some aspects of Phox2b activity. Co-expression of Sfrp1 prevented Phox2b from repressing Lhx1,5 and alleviated the commissural axonal phenotype. When expressed together with Sox13, Phox2b was still able to promote

  15. Carotenoid profiling of leaves of selected eggplant accessions subjected to drought stress

    Science.gov (United States)

    This study focused on the quantification of carotenoids of the leaves of African eggplants commonly consumed as leafy and fruit vegetables. The results gave comparative profiles of carotenoids at different growth and developmental stages and under drought stress. Stress was achieved by limiting irri...

  16. Design of a low-profile printed array of loaded dipoles with inherent frequency selectivity properties

    NARCIS (Netherlands)

    Cavallo, D.; Savoia, S.; Gerini, G.; Neto, A.; Galdi, V.

    2011-01-01

    This work presents the design of a low-profile array of printed dipoles with inherent filtering properties for radar applications. The antenna and the band-pass filter are integrated in a single module, which is small enough to fit within the array unit cell (with period of about 0.4 ? at the

  17. SPSP Phase III Recruiting, Selecting, and Developing Secure Power Systems Professionals. Job Profiles

    Energy Technology Data Exchange (ETDEWEB)

    O' Neil, Lori Ross [Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Conway, T. J. [Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Tobey, D. H. [Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Greitzer, Frank L. [Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Dalton, Angela C. [Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Pusey, Portia K. [Pacific Northwest National Lab. (PNNL), Richland, WA (United States)

    2015-03-01

    The Secure Power Systems Professional Phase III final report was released last year which an appendix of Job Profiles. This new report is that appendix broken out as a standalone document to assist utilities in recruiting and developing Secure Power Systems Professionals at their site.

  18. Anti-bacterial profile of some beers and their effect on some selected ...

    African Journals Online (AJOL)

    The investigation of the therapeutic properties of some beers, allow us to study their anti-bacterial profile against food born diseases caused by bacteria such as Escherichia coli, Salmonella typhimurium, Staphilococcus aureus, Bacillus cereus, Bacillus anthracis and Bacillus subtilis. The results obtained show that beers B2 ...

  19. Building America Top Innovations 2014 Profile: California Energy Standards Recognize the Importance of Filter Selection

    Energy Technology Data Exchange (ETDEWEB)

    none,

    2014-11-01

    This 2014 Top Innovation profile describes Building America research on HVAC air filter sizing that prompted a change in the California “Title 24” Energy Code requiring filter manufacturers, HVAC designers, and HERS raters to make changes that will encourage the use of higher MERV filters without degrading HVAC performance.

  20. Rapid and inexpensive body fluid identification by RNA profiling-based multiplex High Resolution Melt (HRM) analysis

    National Research Council Canada - National Science Library

    Hanson, Erin K; Ballantyne, Jack

    2014-01-01

    .... However, traditional protein-based methods do not permit the identification of all body fluids and tissues, and thus molecular based strategies for the conclusive identification of all forensically...

  1. Rapid and inexpensive body fluid identification by RNA profiling-based multiplex High Resolution Melt (HRM) analysis

    National Research Council Canada - National Science Library

    Hanson, Erin K; Ballantyne, Jack

    2013-01-01

    .... However, traditional protein-based methods do not permit the identification of all body fluids and tissues, and thus molecular based strategies for the conclusive identification of all forensically...

  2. Identification of single- and multiple-class specific signature genes from gene expression profiles by group marker index.

    Directory of Open Access Journals (Sweden)

    Yu-Shuen Tsai

    Full Text Available Informative genes from microarray data can be used to construct prediction model and investigate biological mechanisms. Differentially expressed genes, the main targets of most gene selection methods, can be classified as single- and multiple-class specific signature genes. Here, we present a novel gene selection algorithm based on a Group Marker Index (GMI, which is intuitive, of low-computational complexity, and efficient in identification of both types of genes. Most gene selection methods identify only single-class specific signature genes and cannot identify multiple-class specific signature genes easily. Our algorithm can detect de novo certain conditions of multiple-class specificity of a gene and makes use of a novel non-parametric indicator to assess the discrimination ability between classes. Our method is effective even when the sample size is small as well as when the class sizes are significantly different. To compare the effectiveness and robustness we formulate an intuitive template-based method and use four well-known datasets. We demonstrate that our algorithm outperforms the template-based method in difficult cases with unbalanced distribution. Moreover, the multiple-class specific genes are good biomarkers and play important roles in biological pathways. Our literature survey supports that the proposed method identifies unique multiple-class specific marker genes (not reported earlier to be related to cancer in the Central Nervous System data. It also discovers unique biomarkers indicating the intrinsic difference between subtypes of lung cancer. We also associate the pathway information with the multiple-class specific signature genes and cross-reference to published studies. We find that the identified genes participate in the pathways directly involved in cancer development in leukemia data. Our method gives a promising way to find genes that can involve in pathways of multiple diseases and hence opens up the possibility of

  3. The time-profile of cell growth in fission yeast: model selection criteria favoring bilinear models over exponential ones

    Directory of Open Access Journals (Sweden)

    Sveiczer Akos

    2006-03-01

    Full Text Available Abstract Background There is considerable controversy concerning the exact growth profile of size parameters during the cell cycle. Linear, exponential and bilinear models are commonly considered, and the same model may not apply for all species. Selection of the most adequate model to describe a given data-set requires the use of quantitative model selection criteria, such as the partial (sequential F-test, the Akaike information criterion and the Schwarz Bayesian information criterion, which are suitable for comparing differently parameterized models in terms of the quality and robustness of the fit but have not yet been used in cell growth-profile studies. Results Length increase data from representative individual fission yeast (Schizosaccharomyces pombe cells measured on time-lapse films have been reanalyzed using these model selection criteria. To fit the data, an extended version of a recently introduced linearized biexponential (LinBiExp model was developed, which makes possible a smooth, continuously differentiable transition between two linear segments and, hence, allows fully parametrized bilinear fittings. Despite relatively small differences, essentially all the quantitative selection criteria considered here indicated that the bilinear model was somewhat more adequate than the exponential model for fitting these fission yeast data. Conclusion A general quantitative framework was introduced to judge the adequacy of bilinear versus exponential models in the description of growth time-profiles. For single cell growth, because of the relatively limited data-range, the statistical evidence is not strong enough to favor one model clearly over the other and to settle the bilinear versus exponential dispute. Nevertheless, for the present individual cell growth data for fission yeast, the bilinear model seems more adequate according to all metrics, especially in the case of wee1Δ cells.

  4. Identification of lactic acid bacteria in fruit pulp processing byproducts and potential probiotic properties of selected Lactobacillus strains

    Directory of Open Access Journals (Sweden)

    Estefânia Garcia

    2016-08-01

    Full Text Available This study aimed to identify lactic acid bacteria (LAB in byproducts of fruit (Malpighia glabra L., Mangifera indica L., Annona muricata L. and Fragaria vesca L. pulp processing. Fifty strains of LAB were identified using matrix-assisted laser desorption/ionization–time of flight mass spectrometry (MALDI-TOF MS and 16S rRNA gene sequence (16S rRNA analysis. Species belonging to Lactobacillus genus were the predominant LAB in all fruit pulp processing byproducts. The average congruency between the MALDI-TOF MS and 16S rRNA in LAB species identification reached 86%. Isolates of L. plantarum, L. brevis, L. pentosus, L. lactis and L. mesenteroides were identified with 100% congruency. MALDI-TOF MS and 16S rRNA analysis presented 86% and 100% efficiency of LAB species identification, respectively. Further, five selected Lactobacillus strains (L. brevis 59, L. pentosus 129, L. paracasei 108, L. plantarum 49 and L. fermentum 111 were evaluated for desirable probiotic-related properties and growth behavior on two different cultivation media. The exposure to pH 2.0 sharply decreased the counts of the different Lactobacillus strains after a 1 or 2 h incubation, while varied decreases were noted after 3 h of exposure to pH 3.0. Overall, the exposure to pH 5.0 and to bile salts (0.15, 0.30 and 1.00% did not decrease the counts of the Lactobacillus strains. All tested Lactobacillus strains presented inhibitory activity against Staphylococcus aureus, Salmonella Typhimurium, Salmonella Enteritidis, Listeria monocytogenes and Escherichia coli, and presented variable susceptibility to different antibiotics. The selected Lactobacillus strains presented satisfactory and reproducible growth behavior. In conclusion, MALDI-TOF MS and 16S rRNA analysis revealed high efficiency and congruency for LAB species identification, and the selected Lactobacillus strains may be candidates for further investigation of novel probiotic strains.

  5. Identification and quantification of 5-hydroxypipecolic acid and hydroxyproline in mammalian brain and blood by selected ion monitoring.

    Science.gov (United States)

    Miyata, T; Okano, Y; Nagata-Tanoue, J; Ijima-Miyamura, S; Iwamura, H; Takahama, K; Hitoshi, T

    1987-06-01

    A method for the analysis of 5-hydroxypipecolic acid and 4-hydroxyproline in mammalian brain and blood is reported. The identification and quantification of the two hydroxyimino acids were accomplished with gas chromatography/mass spectrometry including a selected ion-monitoring technique following HPLC prepurification. The lower limit of detection for the method is 2 to 10 pmol. The amounts of 5-hydroxypipecolic acid and 4-hydroxyproline in blood were 20 to 30 pmol/ml and 3 to 6 nmol/ml, respectively. Their concentrations in the rabbit whole brain were determined to be 5 and 120 pmol/g, respectively.

  6. Identification to the species level of Lactobacillus isolated in probiotic prospecting studies of human, animal or food origin by 16S-23S rRNA restriction profiling

    OpenAIRE

    Neumann Elisabeth; Teixeira Santuza MR; Horta Maria F; Mota Rodrigo M; Moreira João; Nicoli Jacques R.; Nunes Álvaro C

    2005-01-01

    Abstract Background The accurate identification of Lactobacillus and other co-isolated bacteria during microbial ecological studies of ecosystems such as the human or animal intestinal tracts and food products is a hard task by phenotypic methods requiring additional tests such as protein and/or lipids profiling. Results Bacteria isolated in different probiotic prospecting studies, using de Man, Rogosa and Sharpe medium (MRS), were typed at species level by PCR amplification of 16S-23S rRNA i...

  7. A Model-Selection-Based Self-Splitting Gaussian Mixture Learning with Application to Speaker Identification

    Directory of Open Access Journals (Sweden)

    Shih-Sian Cheng

    2004-12-01

    Full Text Available We propose a self-splitting Gaussian mixture learning (SGML algorithm for Gaussian mixture modelling. The SGML algorithm is deterministic and is able to find an appropriate number of components of the Gaussian mixture model (GMM based on a self-splitting validity measure, Bayesian information criterion (BIC. It starts with a single component in the feature space and splits adaptively during the learning process until the most appropriate number of components is found. The SGML algorithm also performs well in learning the GMM with a given component number. In our experiments on clustering of a synthetic data set and the text-independent speaker identification task, we have observed the ability of the SGML for model-based clustering and automatically determining the model complexity of the speaker GMMs for speaker identification.

  8. Free DICOM de-identification tools in clinical research : functioning and safety of patient privacy

    NARCIS (Netherlands)

    Aryanto, K. Y. E.; Oudkerk, M.; van Ooijen, P. M. A.

    2015-01-01

    To compare non-commercial DICOM toolkits for their de-identification ability in removing a patient's personal health information (PHI) from a DICOM header. Ten DICOM toolkits were selected for de-identification tests. Tests were performed by using the system's default de-identification profile and,

  9. Tree resin composition, collection behavior and selective filters shape chemical profiles of tropical bees (Apidae: Meliponini).

    Science.gov (United States)

    Leonhardt, Sara D; Schmitt, Thomas; Blüthgen, Nico

    2011-01-01

    The diversity of species is striking, but can be far exceeded by the chemical diversity of compounds collected, produced or used by them. Here, we relate the specificity of plant-consumer interactions to chemical diversity applying a comparative network analysis to both levels. Chemical diversity was explored for interactions between tropical stingless bees and plant resins, which bees collect for nest construction and to deter predators and microbes. Resins also function as an environmental source for terpenes that serve as appeasement allomones and protection against predators when accumulated on the bees' body surfaces. To unravel the origin of the bees' complex chemical profiles, we investigated resin collection and the processing of resin-derived terpenes. We therefore analyzed chemical networks of tree resins, foraging networks of resin collecting bees, and their acquired chemical networks. We revealed that 113 terpenes in nests of six bee species and 83 on their body surfaces comprised a subset of the 1,117 compounds found in resins from seven tree species. Sesquiterpenes were the most variable class of terpenes. Albeit widely present in tree resins, they were only found on the body surface of some species, but entirely lacking in others. Moreover, whereas the nest profile of Tetragonula melanocephala contained sesquiterpenes, its surface profile did not. Stingless bees showed a generalized collecting behavior among resin sources, and only a hitherto undescribed species-specific "filtering" of resin-derived terpenes can explain the variation in chemical profiles of nests and body surfaces from different species. The tight relationship between bees and tree resins of a large variety of species elucidates why the bees' surfaces contain a much higher chemodiversity than other hymenopterans.

  10. Tree resin composition, collection behavior and selective filters shape chemical profiles of tropical bees (Apidae: Meliponini.

    Directory of Open Access Journals (Sweden)

    Sara D Leonhardt

    Full Text Available The diversity of species is striking, but can be far exceeded by the chemical diversity of compounds collected, produced or used by them. Here, we relate the specificity of plant-consumer interactions to chemical diversity applying a comparative network analysis to both levels. Chemical diversity was explored for interactions between tropical stingless bees and plant resins, which bees collect for nest construction and to deter predators and microbes. Resins also function as an environmental source for terpenes that serve as appeasement allomones and protection against predators when accumulated on the bees' body surfaces. To unravel the origin of the bees' complex chemical profiles, we investigated resin collection and the processing of resin-derived terpenes. We therefore analyzed chemical networks of tree resins, foraging networks of resin collecting bees, and their acquired chemical networks. We revealed that 113 terpenes in nests of six bee species and 83 on their body surfaces comprised a subset of the 1,117 compounds found in resins from seven tree species. Sesquiterpenes were the most variable class of terpenes. Albeit widely present in tree resins, they were only found on the body surface of some species, but entirely lacking in others. Moreover, whereas the nest profile of Tetragonula melanocephala contained sesquiterpenes, its surface profile did not. Stingless bees showed a generalized collecting behavior among resin sources, and only a hitherto undescribed species-specific "filtering" of resin-derived terpenes can explain the variation in chemical profiles of nests and body surfaces from different species. The tight relationship between bees and tree resins of a large variety of species elucidates why the bees' surfaces contain a much higher chemodiversity than other hymenopterans.

  11. Tree Resin Composition, Collection Behavior and Selective Filters Shape Chemical Profiles of Tropical Bees (Apidae: Meliponini)

    Science.gov (United States)

    Leonhardt, Sara D.; Schmitt, Thomas; Blüthgen, Nico

    2011-01-01

    The diversity of species is striking, but can be far exceeded by the chemical diversity of compounds collected, produced or used by them. Here, we relate the specificity of plant-consumer interactions to chemical diversity applying a comparative network analysis to both levels. Chemical diversity was explored for interactions between tropical stingless bees and plant resins, which bees collect for nest construction and to deter predators and microbes. Resins also function as an environmental source for terpenes that serve as appeasement allomones and protection against predators when accumulated on the bees' body surfaces. To unravel the origin of the bees' complex chemical profiles, we investigated resin collection and the processing of resin-derived terpenes. We therefore analyzed chemical networks of tree resins, foraging networks of resin collecting bees, and their acquired chemical networks. We revealed that 113 terpenes in nests of six bee species and 83 on their body surfaces comprised a subset of the 1,117 compounds found in resins from seven tree species. Sesquiterpenes were the most variable class of terpenes. Albeit widely present in tree resins, they were only found on the body surface of some species, but entirely lacking in others. Moreover, whereas the nest profile of Tetragonula melanocephala contained sesquiterpenes, its surface profile did not. Stingless bees showed a generalized collecting behavior among resin sources, and only a hitherto undescribed species-specific “filtering” of resin-derived terpenes can explain the variation in chemical profiles of nests and body surfaces from different species. The tight relationship between bees and tree resins of a large variety of species elucidates why the bees' surfaces contain a much higher chemodiversity than other hymenopterans. PMID:21858119

  12. Antibiotic Susceptibility Profiles of Bacteria from Diabetic Foot Infections in Selected Teaching Hospitals in Southwestern Nigeria

    OpenAIRE

    Bello, Olorunjuwon O; Oyekanmi, Edward O; Kelly, Babatunde A; Mebude, Olakunle O; Bello, Temitope K

    2018-01-01

    One of the serious complications associated with diabetes is foot ulcer and this condition affects the quality of life in patients in all classes, races and ages. Chronic wounds are prone to colonization by wide array of microorganisms which could be extremely hazardous to patients if effective and timely therapeutic intervention is not made. This study was conducted to determine the antibiotic susceptibility profiles of bacteria from diabetic foot infections in southwestern Nigeria. Samples ...

  13. Identification of mycoparasitism-related genes against the phytopathogen Sclerotinia sclerotiorum through transcriptome and expression profile analysis in Trichoderma harzianum.

    Science.gov (United States)

    Steindorff, Andrei Stecca; Ramada, Marcelo Henrique Soller; Coelho, Alexandre Siqueira Guedes; Miller, Robert Neil Gerard; Pappas, Georgios Joannis; Ulhoa, Cirano José; Noronha, Eliane Ferreira

    2014-03-18

    The species of T. harzianum are well known for their biocontrol activity against plant pathogens. However, few studies have been conducted to further our understanding of its role as a biological control agent against S. sclerotiorum, a pathogen involved in several crop diseases around the world. In this study, we have used RNA-seq and quantitative real-time PCR (RT-qPCR) techniques in order to explore changes in T. harzianum gene expression during growth on cell wall of S. sclerotiorum (SSCW) or glucose. RT-qPCR was also used to examine genes potentially involved in biocontrol, during confrontation between T. harzianum and S. sclerotiorum. Data obtained from six RNA-seq libraries were aligned onto the T. harzianum CBS 226.95 reference genome and compared after annotation using the Blast2GO suite. A total of 297 differentially expressed genes were found in mycelia grown for 12, 24 and 36 h under the two different conditions: supplemented with glucose or SSCW. Functional annotation of these genes identified diverse biological processes and molecular functions required during T. harzianum growth on SSCW or glucose. We identified various genes of biotechnological value encoding proteins with functions such as transporters, hydrolytic activity, adherence, appressorium development and pathogenesis. To validate the expression profile, RT-qPCR was performed using 20 randomly chosen genes. RT-qPCR expression profiles were in complete agreement with the RNA-Seq data for 17 of the genes evaluated. The other three showed differences at one or two growth times. During the confrontation assay, some genes were up-regulated during and after contact, as shown in the presence of SSCW which is commonly used as a model to mimic this interaction. The present study is the first initiative to use RNA-seq for identification of differentially expressed genes in T. harzianum strain TR274, in response to the phytopathogenic fungus S. sclerotiorum. It provides insights into the mechanisms of

  14. Identification of lipid profile on γ-irradiated primary cultured human diploid fibroblasts by UPLC-ESI-QTOF-MS

    Energy Technology Data Exchange (ETDEWEB)

    Lee, Eun Kyeong; Yun, Hyun Jin; Kim, Sun Young; Kim, So Ra; Kim, Eun Ju; Kang, Chang Mo [Division of Radiation Effect, Korea Institute of Radiological and Medical Sciences, Seoul (Korea, Republic of); Hwang, Geum Sook [Integrated Metabolomics Research Group, Korea Basic Science Institute, Sejong (Korea, Republic of)

    2013-11-15

    The study of biomarkers in normal-tissue radiobiology is of great importance to people subjected to non-destructive testing, to nuclear power industry, and to radiological terrorism. Cytogenetics has remained the 'gold standard' for the detection of chromosomal changes, but this method is cumbersome and time consuming. Therefore, it is necessary to establish a rapid, high-throughput biological monitoring protocol to determine the exposure radiation dose in order to rapidly triage mass casualties. Metabolomics studies is an effective platform for identification and quantification of the complete set of metabolites in a biological system, and it has been successfully provides important insights into physiological and disease states and facilitate in depth understanding of underlying biochemical pathways. Radiation metabolomics has been used to identify radiation effects at the metabolite levels in cells and in urine or serum collected from laboratory animals such as mouse, rat and monkey. Recently, a few radiation metabolomics studies showed that multiple metabolites related to the purine, inositol or pyrimidine metabolism, fatty acid biosynthesis and glycolysis/gluconeogenesis could be potential minimal-invasive markers for radiation exposure. However, there is little consistency in these studies due to differences in analyzed sample (cells, urine, serum), animal models (mouse, rat and monkey). Furthermore, the biological effects of ionizing radiation (IR) were differently regulated in the different absorbed doses, dose-rates and type of IR. Thus, it is necessary to explore the entire biosphere profiling of metabolic markers to make reasonable biological explanation under radiation exposure. We hypothesized that the variations in lipid expression in IR-induced cells would result in a unique lipid profile in human diploid fibroblasts (HDF), which can be detected with the targeted and quantitative metabolomics approach. Irradiated HDF cells showed the dose

  15. DNA Methylation Profiles of Selected Pro-Inflammatory Cytokines in Alzheimer Disease.

    Science.gov (United States)

    Nicolia, Vincenzina; Cavallaro, Rosaria A; López-González, Irene; Maccarrone, Mauro; Scarpa, Sigfrido; Ferrer, Isidre; Fuso, Andrea

    2017-01-01

    By means of functional genomics analysis, we recently described the mRNA expression profiles of various genes involved in the neuroinflammatory response in the brains of subjects with late-onset Alzheimer Disease (LOAD). Some of these genes, namely interleukin (IL)-1β and IL-6, showed distinct expression profiles with peak expression during the first stages of the disease and control-like levels at later stages. IL-1β and IL-6 genes are modulated by DNA methylation in different chronic and degenerative diseases; it is also well known that LOAD may have an epigenetic basis. Indeed, we and others have previously reported gene-specific DNA methylation alterations in LOAD and in related animal models. Based on these data, we studied the DNA methylation profiles, at single cytosine resolution, of IL-1β and IL-6 5'-flanking region by bisulphite modification in the cortex of healthy controls and LOAD patients at 2 different disease stages: Braak I-II/A and Braak V-VI/C. Our analysis provides evidence that neuroinflammation in LOAD is associated with (and possibly mediated by) epigenetic modifications. © 2017 American Association of Neuropathologists, Inc. All rights reserved.

  16. Characterization of the phenolic and antioxidant profiles of selected culinary herbs and spices: caraway, turmeric, dill, marjoram and nutmeg

    Directory of Open Access Journals (Sweden)

    Anna Vallverdú-Queralt

    2015-03-01

    Full Text Available Culinary herbs and spices have long been considered essentially as flavor enhancers or preservatives, with little attention given to their potential health-promoting properties. Nevertheless, recent research has shown them to be significant dietary sources of bioactive phenolic compounds. Despite noteworthy efforts performed in recent years to improve our knowledge of their chemical composition, a detailed phenolic profile of these plant-based products is still lacking. In the present work, antioxidant activities and phenolic composition of five herbs and spices, namely caraway, turmeric, dill, marjoram and nutmeg, have been studied. The use of liquid chromatography coupled to LTQ-Orbitrap mass spectrometry enabled the identification of up to 42 phenolic compounds. To the best of our knowledge, two of them, apigenin-C-hexoside-C-pentoside and apigenin-C-hexoside-C-hexoside have not been previously reported in turmeric. Qualitative and quantitative differences were observed in polyphenol profiles, with the highest phenolic content found in caraway. Multivariate statistical treatment of the results allowed the detection of distinctive features among the studied herbs and spices.

  17. Rapid identification of cell-specific, internalizing RNA aptamers with bioinformatics analyses of a cell-based aptamer selection.

    Directory of Open Access Journals (Sweden)

    William H Thiel

    Full Text Available The broad applicability of RNA aptamers as cell-specific delivery tools for therapeutic reagents depends on the ability to identify aptamer sequences that selectively access the cytoplasm of distinct cell types. Towards this end, we have developed a novel approach that combines a cell-based selection method (cell-internalization SELEX with high-throughput sequencing (HTS and bioinformatics analyses to rapidly identify cell-specific, internalization-competent RNA aptamers.We demonstrate the utility of this approach by enriching for RNA aptamers capable of selective internalization into vascular smooth muscle cells (VSMCs. Several rounds of positive (VSMCs and negative (endothelial cells; ECs selection were performed to enrich for aptamer sequences that preferentially internalize into VSMCs. To identify candidate RNA aptamer sequences, HTS data from each round of selection were analyzed using bioinformatics methods: (1 metrics of selection enrichment; and (2 pairwise comparisons of sequence and structural similarity, termed edit and tree distance, respectively. Correlation analyses of experimentally validated aptamers or rounds revealed that the best cell-specific, internalizing aptamers are enriched as a result of the negative selection step performed against ECs.We describe a novel approach that combines cell-internalization SELEX with HTS and bioinformatics analysis to identify cell-specific, cell-internalizing RNA aptamers. Our data highlight the importance of performing a pre-clear step against a non-target cell in order to select for cell-specific aptamers. We expect the extended use of this approach to enable the identification of aptamers to a multitude of different cell types, thereby facilitating the broad development of targeted cell therapies.

  18. Rapid identification of cell-specific, internalizing RNA aptamers with bioinformatics analyses of a cell-based aptamer selection.

    Science.gov (United States)

    Thiel, William H; Bair, Thomas; Peek, Andrew S; Liu, Xiuying; Dassie, Justin; Stockdale, Katie R; Behlke, Mark A; Miller, Francis J; Giangrande, Paloma H

    2012-01-01

    The broad applicability of RNA aptamers as cell-specific delivery tools for therapeutic reagents depends on the ability to identify aptamer sequences that selectively access the cytoplasm of distinct cell types. Towards this end, we have developed a novel approach that combines a cell-based selection method (cell-internalization SELEX) with high-throughput sequencing (HTS) and bioinformatics analyses to rapidly identify cell-specific, internalization-competent RNA aptamers. We demonstrate the utility of this approach by enriching for RNA aptamers capable of selective internalization into vascular smooth muscle cells (VSMCs). Several rounds of positive (VSMCs) and negative (endothelial cells; ECs) selection were performed to enrich for aptamer sequences that preferentially internalize into VSMCs. To identify candidate RNA aptamer sequences, HTS data from each round of selection were analyzed using bioinformatics methods: (1) metrics of selection enrichment; and (2) pairwise comparisons of sequence and structural similarity, termed edit and tree distance, respectively. Correlation analyses of experimentally validated aptamers or rounds revealed that the best cell-specific, internalizing aptamers are enriched as a result of the negative selection step performed against ECs. We describe a novel approach that combines cell-internalization SELEX with HTS and bioinformatics analysis to identify cell-specific, cell-internalizing RNA aptamers. Our data highlight the importance of performing a pre-clear step against a non-target cell in order to select for cell-specific aptamers. We expect the extended use of this approach to enable the identification of aptamers to a multitude of different cell types, thereby facilitating the broad development of targeted cell therapies.

  19. An Overview of the CNS-Pharmacodynamic Profiles of Nonselective and Selective GABA Agonists

    Directory of Open Access Journals (Sweden)

    Xia Chen

    2012-01-01

    Full Text Available Various 2,3 subtype selective partial GABA-A agonists are in development to treat anxiety disorders. These compounds are expected to be anxiolytic with fewer undesirable side effects, compared to nonselective GABA-A agonists like benzodiazepines. Several 2,3 subtype selective and nonselective GABA-A agonists have been examined in healthy volunteers, using a battery addressing different brain domains. Data from five placebo-controlled double-blind studies were pooled. Lorazepam 2 mg was the comparator in three studies. Three 2,3-selective GABAA agonists (i.e., TPA023, TPACMP2, SL65.1498, one 1-selective GABAA agonists (zolpidem, and another full agonist (alprazolam were examined. Pharmacological selectivity was assessed by determination of regression lines for the change from baseline of saccadic-peak-velocity- (ΔSPV- relative effect, relative to changes in different pharmacodynamic endpoints (ΔPD. SPV was chosen for its sensitivity to the anxiolysis of benzodiazepines. Slopes of the ΔSPV-ΔPD relations were consistently lower with the 2,3 selective GABA-A agonists than with lorazepam, indicating that their PD effects are less than their SPV-effects. The ΔSPV-ΔPD relations of lorazepam were comparable to alprazolam. Zolpidem showed relatively higher impairments in ΔPD relative to ΔSPV, but did not significantly differ from lorazepam. These PD results support the pharmacological selectivity of the 2,3-selective GABA-A agonists, implying an improved therapeutic window.

  20. Molecular identification and antifungal susceptibility profiles of Candida parapsilosis complex species isolated from culture collection of clinical samples

    Directory of Open Access Journals (Sweden)

    Fábio Silvestre Ataides

    2015-08-01

    Full Text Available AbstractINTRODUCTION:Candida parapsilosis is a common yeast species found in cases of onychomycosis and candidemia associated with infected intravascular devices. In this study, we differentiated Candida parapsilosis sensu stricto, Candida orthopsilosis , and Candida metapsilosis from a culture collection containing blood and subungual scraping samples. Furthermore, we assessed the in vitro antifungal susceptibility of these species to fluconazole, itraconazole, voriconazole, posaconazole, amphotericin B, and caspofungin.METHODS:Differentiation of C. parapsilosis complex species was performed by amplification of the secondary alcohol dehydrogenase (SADH gene and digestion by the restriction enzyme Ban I. All isolates were evaluated for the determination of minimal inhibitory concentrations using Etest, a method for antifungal susceptibility testing.RESULTS:Among the 87 isolates, 78 (89.7% were identified as C. parapsilosis sensu stricto , five (5.7% were identified as C. orthopsilosis , and four (4.6% were identified as C. metapsilosis . Analysis of antifungal susceptibility showed that C. parapsilosis sensu strictoisolates were less susceptible to amphotericin B and itraconazole. One C. parapsilosis sensu stricto isolate was resistant to amphotericin B and itraconazole. Moreover, 10.2% of C. parapsilosis sensu stricto isolates were resistant to caspofungin. Two C. parapsilosis sensu strictoisolates and one C. metapsilosis isolate were susceptible to fluconazole in a dose-dependent manner.CONCLUSIONS:We reported the first molecular identification of C. parapsilosiscomplex species in State of Goiás, Brazil. Additionally, we showed that although the three species exhibited differences in antifungal susceptibility profiles, the primary susceptibility of this species was to caspofungin.

  1. Identification of landscape features influencing gene flow: How useful are habitat selection models?

    Science.gov (United States)

    Gretchen H. Roffler; Michael K. Schwartz; Kristine Pilgrim; Sandra L. Talbot; George K. Sage; Layne G. Adams; Gordon Luikart

    2016-01-01

    Understanding how dispersal patterns are influenced by landscape heterogeneity is critical for modeling species connectivity. Resource selection function (RSF) models are increasingly used in landscape genetics approaches. However, because the ecological factors that drive habitat selection may be different from those influencing dispersal and gene flow, it is...

  2. Developing a Comparative Docking Protocol for the Prediction of Peptide Selectivity Profiles: Investigation of Potassium Channel Toxins

    Directory of Open Access Journals (Sweden)

    Serdar Kuyucak

    2012-02-01

    Full Text Available During the development of selective peptides against highly homologous targets, a reliable tool is sought that can predict information on both mechanisms of binding and relative affinities. These tools must first be tested on known profiles before application on novel therapeutic candidates. We therefore present a comparative docking protocol in HADDOCK using critical motifs, and use it to “predict” the various selectivity profiles of several major αKTX scorpion toxin families versus Kv1.1, Kv1.2 and Kv1.3. By correlating results across toxins of similar profiles, a comprehensive set of functional residues can be identified. Reasonable models of channel-toxin interactions can be then drawn that are consistent with known affinity and mutagenesis. Without biological information on the interaction, HADDOCK reproduces mechanisms underlying the universal binding of αKTX-2 toxins, and Kv1.3 selectivity of αKTX-3 toxins. The addition of constraints encouraging the critical lysine insertion confirms these findings, and gives analogous explanations for other families, including models of partial pore-block in αKTX-6. While qualitatively informative, the HADDOCK scoring function is not yet sufficient for accurate affinity-ranking. False minima in low-affinity complexes often resemble true binding in high-affinity complexes, despite steric/conformational penalties apparent from visual inspection. This contamination significantly complicates energetic analysis, although it is usually possible to obtain correct ranking via careful interpretation of binding-well characteristics and elimination of false positives. Aside from adaptations to the broader potassium channel family, we suggest that this strategy of comparative docking can be extended to other channels of interest with known structure, especially in cases where a critical motif exists to improve docking effectiveness.

  3. Feature Selection Method Based on Neighborhood Relationships: Applications in EEG Signal Identification and Chinese Character Recognition

    Directory of Open Access Journals (Sweden)

    Yu-Xiang Zhao

    2016-06-01

    Full Text Available In this study, a new feature selection algorithm, the neighborhood-relationship feature selection (NRFS algorithm, is proposed for identifying rat electroencephalogram signals and recognizing Chinese characters. In these two applications, dependent relationships exist among the feature vectors and their neighboring feature vectors. Therefore, the proposed NRFS algorithm was designed for solving this problem. By applying the NRFS algorithm, unselected feature vectors have a high priority of being added into the feature subset if the neighboring feature vectors have been selected. In addition, selected feature vectors have a high priority of being eliminated if the neighboring feature vectors are not selected. In the experiments conducted in this study, the NRFS algorithm was compared with two feature algorithms. The experimental results indicated that the NRFS algorithm can extract the crucial frequency bands for identifying rat vigilance states and identifying crucial character regions for recognizing Chinese characters.

  4. Identification of genomic regions associated with phenotypic variation between dog breeds using selection mapping

    DEFF Research Database (Denmark)

    Vaysse, Amaury; Ratnakumar, Abhirami; Derrien, Thomas

    2011-01-01

    The extraordinary phenotypic diversity of dog breeds has been sculpted by a unique population history accompanied by selection for novel and desirable traits. Here we perform a comprehensive analysis using multiple test statistics to identify regions under selection in 509 dogs from 46 diverse...... across the genome in dog breeds are the result of both selection and genetic drift, but extended blocks of homozygosity on a megabase scale appear to be best explained by selection. Further elucidation of the variants under selection will help to uncover the genetic basis of complex traits and disease....... breeds using a newly developed high-density genotyping array consisting of >170,000 evenly spaced SNPs. We first identify 44 genomic regions exhibiting extreme differentiation across multiple breeds. Genetic variation in these regions correlates with variation in several phenotypic traits that vary...

  5. Combining metal oxide affinity chromatography (MOAC and selective mass spectrometry for robust identification of in vivo protein phosphorylation sites

    Directory of Open Access Journals (Sweden)

    Weckwerth Wolfram

    2005-11-01

    Full Text Available Abstract Background Protein phosphorylation is accepted as a major regulatory pathway in plants. More than 1000 protein kinases are predicted in the Arabidopsis proteome, however, only a few studies look systematically for in vivo protein phosphorylation sites. Owing to the low stoichiometry and low abundance of phosphorylated proteins, phosphorylation site identification using mass spectrometry imposes difficulties. Moreover, the often observed poor quality of mass spectra derived from phosphopeptides results frequently in uncertain database hits. Thus, several lines of evidence have to be combined for a precise phosphorylation site identification strategy. Results Here, a strategy is presented that combines enrichment of phosphoproteins using a technique termed metaloxide affinity chromatography (MOAC and selective ion trap mass spectrometry. The complete approach involves (i enrichment of proteins with low phosphorylation stoichiometry out of complex mixtures using MOAC, (ii gel separation and detection of phosphorylation using specific fluorescence staining (confirmation of enrichment, (iii identification of phosphoprotein candidates out of the SDS-PAGE using liquid chromatography coupled to mass spectrometry, and (iv identification of phosphorylation sites of these enriched proteins using automatic detection of H3PO4 neutral loss peaks and data-dependent MS3-fragmentation of the corresponding MS2-fragment. The utility of this approach is demonstrated by the identification of phosphorylation sites in Arabidopsis thaliana seed proteins. Regulatory importance of the identified sites is indicated by conservation of the detected sites in gene families such as ribosomal proteins and sterol dehydrogenases. To demonstrate further the wide applicability of MOAC, phosphoproteins were enriched from Chlamydomonas reinhardtii cell cultures. Conclusion A novel phosphoprotein enrichment procedure MOAC was applied to seed proteins of A. thaliana and to

  6. Use of oligonucleotide array for identification of six foodborne pathogens and Pseudomonas aeruginosa grown on selective media.

    Science.gov (United States)

    Lin, Miao Chu; Huang, Ay Huey; Tsen, Hau Yang; Wong, Hin-Chung; Chang, Tsung Chain

    2005-11-01

    Identification of presumptive foodborne pathogens grown on selective media may take one to several days and requires a different battery of biochemical tests for each microorganism. A molecular identification method was developed in which universal primers were used to amplify the 16S to 23S rDNA intergenic spacer of target microorganisms, and PCR products were hybridized to a panel of species-specific oligonucleotides that were immobilized on a nylon membrane. The seven target microorganisms were Bacillus cereus, Escherichia coli, Listeria monocytogenes, Pseudomonas aeruginosa, Salmonella, Staphylococcus aureus, and Vibrio parahaemolyticus. After testing a large collection of target bacteria (29 to 51 strains) and nontarget bacteria (> 500 strains), the performances (sensitivity and specificity) of the oligonucleotide array were as follows: B. cereus (100 and 77%), E. coli (100 and 100%), L. monocytogenes (100 and 90%), P. aeruginosa (100 and 100%), Salmonella (100 and 100%), S. aureus (100 and 100%), and V. parahaemolyticus (100 and 94.2%). Other species in the B. cereus group cross-hybridized to the probes used for identification of B. cereus, and positive results should be confirmed by additional morphological observation of colonies. Listeria innocua cross-reacted with probes used to identify L. monocytogenes, but a simple hemolysis test was used to differentiate the two species. Some strains of Vibrio harveyi and Vibrio mimicus cross-hybridized with probes used for identification of V. parahaemolyticus and caused false-positive reactions. The advantage of the array is that a common protocol was used to identify the seven target microorganisms and multiple different microorganisms could be simultaneously identified on a single array.

  7. A novel approach to selecting and weighting nutrients for nutrient profiling of foods and diets.

    Science.gov (United States)

    Arsenault, Joanne E; Fulgoni, Victor L; Hersey, James C; Muth, Mary K

    2012-12-01

    Nutrient profiling of foods is the science of ranking or classifying foods based on their nutrient composition. Most profiling systems use similar weighting factors across nutrients due to lack of scientific evidence to assign levels of importance to nutrients. Our aim was to use a statistical approach to determine the nutrients that best explain variation in Healthy Eating Index (HEI) scores and to obtain β-coefficients for the nutrients for use as weighting factors for a nutrient-profiling algorithm. We used a cross-sectional analysis of nutrient intakes and HEI scores. Our subjects included 16,587 individuals from the National Health and Nutrition Examination Survey 2005-2008 who were 2 years of age or older and not pregnant. Our main outcome measure was variation (R(2)) in HEI scores. Linear regression analyses were conducted with HEI scores as the dependent variable and all possible combinations of 16 nutrients of interest as independent variables, with covariates age, sex, and ethnicity. The analyses identified the best 1-nutrient variable model (with the highest R(2)), the best 2-nutrient variable model, and up to the best 16-nutrient variable model. The model with 8 nutrients explained 65% of the variance in HEI scores, similar to the models with 9 to 16 nutrients, but substantially higher than previous algorithms reported in the literature. The model contained five nutrients with positive β-coefficients (ie, protein, fiber, calcium, unsaturated fat, and vitamin C) and three nutrients with negative coefficients (ie, saturated fat, sodium, and added sugar). β-coefficients from the model were used as weighting factors to create an algorithm that generated a weighted nutrient density score representing the overall nutritional quality of a food. The weighted nutrient density score can be easily calculated and is useful for describing the overall nutrient quality of both foods and diets. Copyright © 2012 Academy of Nutrition and Dietetics. Published by

  8. Long-term effect of dexfenfluramine on amino acid profiles and food selection in obese patients during weight loss

    DEFF Research Database (Denmark)

    Breum, L; Møller, S E; Andersen, T

    1996-01-01

    groups. Macronutrient selection was not affected by the dF treatment. In the placebo group weight loss was associated with a high pre-treatment energy intake and a high carbohydrate-protein ratio (p age was found to explain 82......In depressive disorders an association between basal pre-treatment plasma ratios of tryptophan (Trp) and tyrosine (Tyr) to other large neutral amino acids (LNAA) and the clinical efficacy of serotonergic acting drugs have been established. In order to clarify whether a similar relation exists...... in obesity and to elucidate the long-term effect of dexfenfluramine (dF) on plasma amino acid profiles and macronutrient selection, we examined 29 obese patients participating in a 12 months double-blind weight loss trial with either dexfenfluramine (dF) (30 mg/day) or placebo (PL) in conjunction with 4...

  9. Identification of 3-amido-4-anilinoquinolines as potent and selective inhibitors of CSF-1R kinase.

    Science.gov (United States)

    Scott, David A; Balliet, Carrie L; Cook, Donald J; Davies, Audrey M; Gero, Thomas W; Omer, Charles A; Poondru, Srinivasu; Theoclitou, Maria-Elena; Tyurin, Boris; Zinda, Michael J

    2009-02-01

    3-amido-4-anilinoquinolines are potent and highly selective inhibitors of CSF-1R. Their synthesis and SAR is reported, along with initial efforts to optimize the physical properties and PK through modifications at the quinoline 6- and 7-positions.

  10. Enthalpy-Based Screening of Focused Combinatorial Libraries for the Identification of Potent and Selective Ligands.

    Science.gov (United States)

    Baggio, Carlo; Udompholkul, Parima; Barile, Elisa; Pellecchia, Maurizio

    2017-12-15

    In modern drug discovery, the ability of biophysical methods, including nuclear magnetic resonance spectroscopy or surface plasmon resonance, to detect and characterize ligand-protein interactions accurately and unambiguously makes these approaches preferred versus conventional biochemical high-throughput screening of large collections of compounds. Nonetheless, ligand screening strategies that address simultaneously potency and selectivity have not yet been fully developed. In this work, we propose a novel method for screening large collections of combinatorial libraries using enthalpy measurements as a primary screening technique. We demonstrate that selecting binders that are driven by enthalpy (ΔH) results in agents that are not only potent but also more selective for a given target. This general and novel approach, we termed ΔH screening of fPOS (enthalpy screening of focused positional scanning library), combines the principles of focused combinatorial chemistry with rapid calorimetry measurements to efficiently identify potent and selective inhibitors.

  11. Identification and evaluation of influential criteria for the selection of an environmental shipping carrier using DEMATEL

    DEFF Research Database (Denmark)

    Jia, Peng; Govindan, Kannan; Kannan, Devika

    2015-01-01

    influential criteria from an environmental practices perspective. In this study, seventeen factors are identified from literature aimed at locating the most influential criteria to select a suitable shipping carrier using the decision making trial and evaluation laboratory (DEMATEL). This procedure helps......The current environmental pollution is a major factor in economic development and vehicle pollution is ranked next to industrial emissions in total emissions worldwide. This study focuses on the selection of a suitable shipping carrier from an economic and environmental perspective. In practice......, there are many criteria's available to select a suitable shipping container. But, shipping container companies are struggling to identify the most influential criteria to select a shipping container as it requires in-depth analysis. So, the objective of this paper is to analyse the criteria and identify the most...

  12. Evaluation of selected agricultural solid wastes on biochemical profile and liver histology of Albino rats

    Directory of Open Access Journals (Sweden)

    Isaac Oluseun Adejumo

    2017-01-01

    Full Text Available Wheat bran, groundnut shell, watermelon peel and corn bran were analyzed for chemical composition and amino acid profile. A feeding trial was conducted to assess their effect on biochemical profile and liver histology of rats. Watermelon peel obtained the highest dry matter content (91.93±0.03 g/100g, followed by groundnut shell meal (89.57±0.31 g/100g. Carbohydrate content ranged between 35.28±0.08 g/100g and 65.19±0.13 g/100g. Crude protein content ranged between 6.53±0.06 g/100g (groundnut shell meal and 10.88±0.02 g/100g (wheat bran. Liver histopathology revealed normal architecture. The nutritional analyses of the wastes revealed rich nutritional content which may be explored for feed ingredient in livestock production. Further processing of these wastes may further enhance their nutritional composition; thereby providing alternative cheap animal feed for improved animal production and consequently improved animal protein consumption in developing countries.

  13. Strain profiles in ion implanted ceramic polycrystals: An approach based on reciprocal-space crystal selection

    Energy Technology Data Exchange (ETDEWEB)

    Palancher, H., E-mail: herve.palancher@cea.fr; Martin, G.; Fouet, J. [CEA, DEN, DEC, F-13108 Saint Paul lez Durance (France); Goudeau, P. [Institut Pprime, CNRS-Université de Poitiers–ENSMA, SP2MI, F-86360 Chasseneuil (France); Boulle, A. [Science des Procédés Céramiques et Traitements de Surface (SPCTS), CNRS UMR 7315, Centre Européen de la Céramique, 12 rue Atlantis, 87068 Limoges (France); Rieutord, F. [CEA, DSM, INAC, F-38054 Grenoble Cedex 9 (France); Favre-Nicolin, V. [Université Grenoble-Alpes, F-38041 Grenoble, France, Institut Universitaire de France, F-75005 Paris (France); Blanc, N. [Institut NEEL, CNRS-Univ Grenoble Alpes, F-38042 Grenoble (France); Onofri, C. [CEA, DEN, DEC, F-13108 Saint Paul lez Durance (France); CEMES, CNRS UPR 8011, 29 rue Jeanne Marvig, BP 94347, 31055 Toulouse Cedex 4 (France)

    2016-01-18

    The determination of the state of strain in implanted materials is a key issue in the study of their mechanical stability. Whereas this question is nowadays relatively easily solved in the case of single crystals, it remains a challenging task in the case of polycrystalline materials. In this paper, we take benefit of the intense and parallel beams provided by third generation synchrotron sources combined with a two-dimensional detection system to analyze individual grains in polycrystals, hence obtaining “single crystal-like” data. The feasibility of the approach is demonstrated with implanted UO{sub 2} polycrystals where the in-depth strain profile is extracted for individual grains using numerical simulations of the diffracted signal. The influence of the implantation dose is precisely analyzed for several diffracting planes and grains. This work suggests that, at low fluences, the development of strain is mainly due to ballistic effects with little effect from He ions, independently from the crystallographic orientation. At higher fluences, the evolution of the strain profiles suggests a partial and anisotropic plastic relaxation. With the present approach, robust and reliable structural information can be obtained, even from complex polycrystalline ceramic materials.

  14. A selective hybrid stochastic strategy for fuel-cell multi-parameter identification

    Science.gov (United States)

    Guarnieri, Massimo; Negro, Enrico; Di Noto, Vito; Alotto, Piergiorgio

    2016-11-01

    The in situ identification of fuel-cell material parameters is crucial both for guiding the research for advanced functionalized materials and for fitting multiphysics models, which can be used in fuel cell performance evaluation and optimization. However, this identification still remains challenging when dealing with direct measurements. This paper presents a method for achieving this aim by stochastic optimization. Such techniques have been applied to the analysis of fuel cells for ten years, but typically to specific problems and by means of semi-empirical models, with an increased number of articles published in the last years. We present an original formulation that makes use of an accurate zero-dimensional multi-physical model of a polymer electrolyte membrane fuel cell and of two cooperating stochastic algorithms, particle swarm optimization and differential evolution, to extract multiple material parameters (exchange current density, mass transfer coefficient, diffusivity, conductivity, activation barriers …) from the experimental data of polarization curves (i.e. in situ measurements) under some controlled temperature, gas back pressure and humidification. The method is suitable for application in other fields where fitting of multiphysics nonlinear models is involved.

  15. Endoscopic identification of the jejunum facilitates minimally invasive jejunostomy tube insertion in selected cases.

    Science.gov (United States)

    Selim, Niazy M

    2009-11-01

    Percutaneous endoscopic gastrostomy (PEG), direct percutaneous endoscopic jejunostomy, and laparoscopic feeding tube insertion are established techniques for placing a feeding tube. However, these techniques may be difficult or contraindicated after previous gastric or upper abdominal surgery. A total of 10 patients underwent minimally invasive jejunostomy tube insertion via endoscopic identification of the jejunum. The indications for the procedure were dysphagia, poor nutritional status, prolonged intensive care unit (ICU) admission, and gastroparesis. Eight of the patients had undergone previous upper abdominal surgeries and were rejected for either PEG or direct percutaneous jejunostomy. With the patients under general anesthesia, esophagogastroduodenoscopy was performed. The jejunum was identified and intubated. A small abdominal incision (1 in.) was made. The proximal jejunum was identified easily by the light and digital palpation of the endoscope. The jejunum was delivered in the wound, and the jejunostomy tube was inserted using Witzel's technique. The wound was closed. All the patients tolerated the procedure well. The mean time for the procedure was 29 +/- 13 min. There was no mortality related to the procedure and no complications. Jejunal feeding started on the first postoperative day. The use of intraoperative endoscopy facilitated identification of the jejunum. Easy, safe, and quick, the procedure saved the patient a formal laparotomy and extensive manipulation.

  16. The effect of addition of selected vegetables on the microbiological, textural and flavour profile properties of yoghurts.

    Science.gov (United States)

    Najgebauer-Lejko, Dorota; Tabaszewska, Małgorzata; Grega, Tadeusz

    2015-01-01

    Vegetables, apart from having high nutritional value, also contain considerable amounts of dietary fibre and other components, which may affect physico-chemical properties of fermented milks, e.g. viscosity, texture, susceptibility to syneresis, flavour profile etc. The present work was established to study the effect of selected vegetables addition on the rheological, textural, microbiological and flavour profile parameters of yoghurts. The vegetable preparations (carrot, pumpkin, broccoli and red sweet pepper) were added (10% w/w) to the processed cow's milk fermented with DVS yoghurt culture. Texture profile analysis, determination of viscosity, susceptibility to syneresis and descriptive flavour evaluation were conducted at the 1st, 7th and 14th day after production. Additionally, microbiological studies were performed for 28 days, at 7-day intervals. The highest apparent viscosity and adhesiveness were obtained for the carrot yoghurt, whereas yoghurt with pumpkin was the least susceptible to syneresis. The other texture parameters were not affected by the addition of vegetables. Broccoli and red sweet pepper flavours were dominating in the fermented milks fortified with these vegetables, whereas carrot and pumpkin flavours were less distinctive. Yoghurt supplemented with red sweet pepper got the highest sensoric acceptability. The number of starter bacteria was not influenced by the vegetable additives, except for pumpkin yoghurt, which contained lower population of lactobacilli. Among all tested vegetables, carrot additive had the greatest potential to improve yoghurt structure, whereas red sweet pepper imparted the most acceptable flavour.

  17. Developmental profile of select immune cells in mice infected with Trichinella spiralis during the intestinal phase

    Science.gov (United States)

    Trichinella spiralis can cause immunosuppression during the intestinal phase of early infection. However, changes in the peripheral blood during T. spiralis early infection remain unclear. Here, select immune cells in mice infected with 500 muscle larvae (ML) of T. spiralis during the intestinal pha...

  18. Automatic selection of reference taxa for protein–protein interaction prediction with phylogenetic profiling

    DEFF Research Database (Denmark)

    Simonsen, Martin; Maetschke, Stefan R.; Ragan, Mark A

    2012-01-01

    : We present three novel methods for automating the selection of RT, using machine learning based on known protein–protein interaction networks. One of these methods in particular, Tree-Based Search, yields greatly improved prediction accuracies. We further show that different methods for constituting...

  19. SELECTIVITY PROFILE OF SOME RECENT MUSCARINIC ANTAGONISTS IN BOVINE AND GUINEA-PIG TRACHEA AND HEART

    NARCIS (Netherlands)

    ROFFEL, AF; HAMSTRA, JJ; ELZINGA, CRS; ZAAGSMA, J

    1994-01-01

    The functional affinities of some recently developed subtype-selective muscarinic antagonists towards bovine tracheal smooth muscle muscarinic M(3) receptors were established and compared to binding affinities for bovine cardiac M(2) and functional affinities for guinea-pig tracheal smooth muscle

  20. DNA barcoding and LC-MS metabolite profiling of the lichen-forming genus Melanelia: Specimen identification and discrimination focusing on Icelandic taxa.

    Science.gov (United States)

    Xu, Maonian; Heidmarsson, Starri; Thorsteinsdottir, Margret; Eiriksson, Finnur F; Omarsdottir, Sesselja; Olafsdottir, Elin S

    2017-01-01

    Taxa in the genus Melanelia (Parmeliaceae, Ascomycota) belong to a group of saxicolous lichens with brown to black foliose thalli, which have recently undergone extensive changes in circumscription. Taxa belonging to Parmeliaceae are prolific producers of bioactive compounds, which have also been traditionally used for chemotaxonomic purposes. However, the chemical diversity of the genus Melanelia and the use of chemical data for species discrimination in this genus are largely unexplored. In addition, identification based on morphological characters is challenging due to few taxonomically informative characters. Molecular identification methods, such as DNA barcoding, have rarely been applied to this genus. This study aimed to identify the Melanelia species from Iceland using DNA barcoding approach, and to explore their chemical diversity using chemical profiling. Chemometric tools were used to see if lichen metabolite profiles determined by LC-MS could be used for the identification of Icelandic Melanelia species. Barcoding using the fungal nuclear ribosomal internal transcribed spacer region (nrITS) successfully identified three Melalenlia species occurring in Iceland, together with Montanelia disjuncta (Basionym: Melanelia disjuncta). All species formed monophyletic clades in the neighbor-joining nrITS gene tree. However, high intraspecific genetic distance of M. stygia suggests the potential of unrecognized species lineages. Principal component analysis (PCA) of metabolite data gave a holistic overview showing that M. hepatizon and M. disjuncta were distinct from the rest, without the power to separate M. agnata and M. stygia due to their chemical similarity. Orthogonal partial least-squares to latent structures-discriminate analysis (OPLS-DA), however, successfully distinguished M. agnata and M. stygia by identifying statistically significant metabolites, which lead to class differentiation. This work has demonstrated the potential of DNA barcoding, chemical

  1. Identification of genomic regions associated with phenotypic variation between dog breeds using selection mapping.

    Science.gov (United States)

    Vaysse, Amaury; Ratnakumar, Abhirami; Derrien, Thomas; Axelsson, Erik; Rosengren Pielberg, Gerli; Sigurdsson, Snaevar; Fall, Tove; Seppälä, Eija H; Hansen, Mark S T; Lawley, Cindy T; Karlsson, Elinor K; Bannasch, Danika; Vilà, Carles; Lohi, Hannes; Galibert, Francis; Fredholm, Merete; Häggström, Jens; Hedhammar, Ake; André, Catherine; Lindblad-Toh, Kerstin; Hitte, Christophe; Webster, Matthew T

    2011-10-01

    The extraordinary phenotypic diversity of dog breeds has been sculpted by a unique population history accompanied by selection for novel and desirable traits. Here we perform a comprehensive analysis using multiple test statistics to identify regions under selection in 509 dogs from 46 diverse breeds using a newly developed high-density genotyping array consisting of >170,000 evenly spaced SNPs. We first identify 44 genomic regions exhibiting extreme differentiation across multiple breeds. Genetic variation in these regions correlates with variation in several phenotypic traits that vary between breeds, and we identify novel associations with both morphological and behavioral traits. We next scan the genome for signatures of selective sweeps in single breeds, characterized by long regions of reduced heterozygosity and fixation of extended haplotypes. These scans identify hundreds of regions, including 22 blocks of homozygosity longer than one megabase in certain breeds. Candidate selection loci are strongly enriched for developmental genes. We chose one highly differentiated region, associated with body size and ear morphology, and characterized it using high-throughput sequencing to provide a list of variants that may directly affect these traits. This study provides a catalogue of genomic regions showing extreme reduction in genetic variation or population differentiation in dogs, including many linked to phenotypic variation. The many blocks of reduced haplotype diversity observed across the genome in dog breeds are the result of both selection and genetic drift, but extended blocks of homozygosity on a megabase scale appear to be best explained by selection. Further elucidation of the variants under selection will help to uncover the genetic basis of complex traits and disease.

  2. A 100-Year Review: Identification and genetic selection of economically important traits in dairy cattle.

    Science.gov (United States)

    Miglior, Filippo; Fleming, Allison; Malchiodi, Francesca; Brito, Luiz F; Martin, Pauline; Baes, Christine F

    2017-12-01

    Over the past 100 yr, the range of traits considered for genetic selection in dairy cattle populations has progressed to meet the demands of both industry and society. At the turn of the 20th century, dairy farmers were interested in increasing milk production; however, a systematic strategy for selection was not available. Organized milk performance recording took shape, followed quickly by conformation scoring. Methodological advances in both genetic theory and statistics around the middle of the century, together with technological innovations in computing, paved the way for powerful multitrait analyses. As more sophisticated analytical techniques for traits were developed and incorporated into selection programs, production began to increase rapidly, and the wheels of genetic progress began to turn. By the end of the century, the focus of selection had moved away from being purely production oriented toward a more balanced breeding goal. This shift occurred partly due to increasing health and fertility issues and partly due to societal pressure and welfare concerns. Traits encompassing longevity, fertility, calving, health, and workability have now been integrated into selection indices. Current research focuses on fitness, health, welfare, milk quality, and environmental sustainability, underlying the concentrated emphasis on a more comprehensive breeding goal. In the future, on-farm sensors, data loggers, precision measurement techniques, and other technological aids will provide even more data for use in selection, and the difficulty will lie not in measuring phenotypes but rather in choosing which traits to select for. Copyright © 2017 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

  3. Ascorbic acid, phenolic acid, flavonoid, and carotenoid profiles of selected extracts from Ribes nigrum.

    Science.gov (United States)

    Tabart, Jessica; Kevers, Claire; Evers, Danièle; Dommes, Jacques

    2011-05-11

    Small fruits such as berries have low energy contents, but high contents of vitamins, micronutrients, and dietary fibers and constitute a good source of natural antioxidant compounds that are important constituents of the human diet. This study identified a large number of compounds in an extract of black currant showing high antioxidant activity and compared their profile in various parts of the plants (leaves, buds, and berries). If it was known that berries contained very high levels of natural phenolic compounds, this study showed that leaves and buds could also be considered good sources of natural antioxidants. Indeed, they contained high amounts of phenolic acids, flavonoids, and carotenoids. An acetone mixture can extract several classes of phenolic compounds with a good yield of flavonols, flavan-3-ols, and anthocyanins.

  4. Chronic Voluntary Ethanol Consumption Induces Favorable Ceramide Profiles in Selectively Bred Alcohol-Preferring (P Rats.

    Directory of Open Access Journals (Sweden)

    Jessica Godfrey

    Full Text Available Heavy alcohol consumption has detrimental neurologic effects, inducing widespread neuronal loss in both fetuses and adults. One proposed mechanism of ethanol-induced cell loss with sufficient exposure is an elevation in concentrations of bioactive lipids that mediate apoptosis, including the membrane sphingolipid metabolites ceramide and sphingosine. While these naturally-occurring lipids serve as important modulators of normal neuronal development, elevated levels resulting from various extracellular insults have been implicated in pathological apoptosis of neurons and oligodendrocytes in several neuroinflammatory and neurodegenerative disorders. Prior work has shown that acute administration of ethanol to developing mice increases levels of ceramide in multiple brain regions, hypothesized to be a mediator of fetal alcohol-induced neuronal loss. Elevated ceramide levels have also been implicated in ethanol-mediated neurodegeneration in adult animals and humans. Here, we determined the effect of chronic voluntary ethanol consumption on lipid profiles in brain and peripheral tissues from adult alcohol-preferring (P rats to further examine alterations in lipid composition as a potential contributor to ethanol-induced cellular damage. P rats were exposed for 13 weeks to a 20% ethanol intermittent-access drinking paradigm (45 ethanol sessions total or were given access only to water (control. Following the final session, tissues were collected for subsequent chromatographic analysis of lipid content and enzymatic gene expression. Contrary to expectations, ethanol-exposed rats displayed substantial reductions in concentrations of ceramides in forebrain and heart relative to non-exposed controls, and modest but significant decreases in liver cholesterol. qRT-PCR analysis showed a reduction in the expression of sphingolipid delta(4-desaturase (Degs2, an enzyme involved in de novo ceramide synthesis. These findings indicate that ethanol intake levels

  5. Chronic Voluntary Ethanol Consumption Induces Favorable Ceramide Profiles in Selectively Bred Alcohol-Preferring (P) Rats.

    Science.gov (United States)

    Godfrey, Jessica; Jeanguenin, Lisa; Castro, Norma; Olney, Jeffrey J; Dudley, Jason; Pipkin, Joseph; Walls, Stanley M; Wang, Wei; Herr, Deron R; Harris, Greg L; Brasser, Susan M

    2015-01-01

    Heavy alcohol consumption has detrimental neurologic effects, inducing widespread neuronal loss in both fetuses and adults. One proposed mechanism of ethanol-induced cell loss with sufficient exposure is an elevation in concentrations of bioactive lipids that mediate apoptosis, including the membrane sphingolipid metabolites ceramide and sphingosine. While these naturally-occurring lipids serve as important modulators of normal neuronal development, elevated levels resulting from various extracellular insults have been implicated in pathological apoptosis of neurons and oligodendrocytes in several neuroinflammatory and neurodegenerative disorders. Prior work has shown that acute administration of ethanol to developing mice increases levels of ceramide in multiple brain regions, hypothesized to be a mediator of fetal alcohol-induced neuronal loss. Elevated ceramide levels have also been implicated in ethanol-mediated neurodegeneration in adult animals and humans. Here, we determined the effect of chronic voluntary ethanol consumption on lipid profiles in brain and peripheral tissues from adult alcohol-preferring (P) rats to further examine alterations in lipid composition as a potential contributor to ethanol-induced cellular damage. P rats were exposed for 13 weeks to a 20% ethanol intermittent-access drinking paradigm (45 ethanol sessions total) or were given access only to water (control). Following the final session, tissues were collected for subsequent chromatographic analysis of lipid content and enzymatic gene expression. Contrary to expectations, ethanol-exposed rats displayed substantial reductions in concentrations of ceramides in forebrain and heart relative to non-exposed controls, and modest but significant decreases in liver cholesterol. qRT-PCR analysis showed a reduction in the expression of sphingolipid delta(4)-desaturase (Degs2), an enzyme involved in de novo ceramide synthesis. These findings indicate that ethanol intake levels achieved by

  6. Genome-wide identification and expression profiling of EIL gene family in woody plant representative poplar (Populus trichocarpa).

    Science.gov (United States)

    Filiz, Ertugrul; Vatansever, Recep; Ozyigit, Ibrahim Ilker; Uras, Mehmet Emin; Sen, Ugur; Anjum, Naser A; Pereira, Eduarda

    2017-08-01

    This study aimed to improve current understanding on ethylene-insensitive 3-like (EIL) members, least explored in woody plants such as poplar (Populus trichocarpa Torr. & Grey). Herein, seven putative EIL members were identified in P. trichocarpa genome and were roughly annotated either as EIN3-like sequence associated with ethylene pathway or EIL3-like sequences related with sulfur (S)-pathway. Motif-distribution pattern of proteins also corroborated this annotation. They were distributed on six chromosomes (chr1, 3, 4 and 8-10), and were revealed to encode a protein of 509-662 residues with nuclear localization. The presence of ethylene insensitive 3 (EIN3; PF04873) domain (covering first 80-280 residues from N-terminus) was confirmed by Hidden Markov Model-based search. The first half of EIL proteins (∼80-280 residues including EIN3 domain) was substantially conserved. The second half (∼300-600 residues) was considerably diverged. Additionally, first half of proteins harbored acidic, proline-rich and glutamine-rich sites, and supported the essentiality of these regions in the transcriptional-activation and protein-function. Moreover, identified six segmental and one-tandem duplications demonstrated the negative or purifying selective nature of mutations. Furthermore, expression profile analysis indicated the possibility of a crosstalk between EIN3- and EIL3-like genes, and co-expression networks implicated their interactions with very diverse panels of biological molecules. Copyright © 2017 Elsevier Inc. All rights reserved.

  7. Profiling antibody responses to infections by Chlamydia abortus enables identification of potential virulence factors and candidates for serodiagnosis.

    Directory of Open Access Journals (Sweden)

    Vera Forsbach-Birk

    Full Text Available Enzootic abortion of ewes (EAE due to infection with the obligate intracellular pathogen Chlamydia (C. abortus is an important zoonosis leading to considerable economic loss to agriculture worldwide. The pathogen can be transmitted to humans and may lead to serious infection in pregnant women. Knowledge about epidemiology, clinical course and transmission to humans is hampered by the lack of reliable diagnostic tools. Immunoreactive proteins, which are expressed in infected animals and humans, may serve as novel candidates for diagnostic marker proteins and represent putative virulence factors. In order to broaden the spectrum of immunogenic C. abortus proteins we applied 2D immunoblot analysis and screening of an expression library using human and animal sera. We have identified 48 immunoreactive proteins representing potential diagnostic markers and also putative virulence factors, such as CAB080 (homologue of the "macrophage infectivity potentiator", MIP, CAB167 (homologue of the "translocated actin recruitment protein", TARP, CAB712 (homologue of the "chlamydial protease-like activity factor", CPAF, CAB776 (homologue of the "Polymorphic membrane protein D", PmpD, and the "hypothetical proteins" CAB063, CAB408 and CAB821, which are predicted to be type III secreted. We selected two putative virulence factors for further characterization, i.e. CAB080 (cMIP and CAB063, and studied their expression profiles at transcript and protein levels. Analysis of the subcellular localization of both proteins throughout the developmental cycle revealed CAB063 being the first C. abortus protein shown to be translocated to the host cell nucleus.

  8. Study of phytohormone profile and oxidative metabolism as key process to identification of salinity response in tomato commercial genotypes.

    Science.gov (United States)

    de la Torre-González, Alejandro; Navarro-León, Eloy; Albacete, Alfonso; Blasco, Begoña; Ruiz, Juan M

    2017-09-01

    Climatic change, intensive agriculture, and worsening water quality induce abiotic stress conditions for plants. Among these factors, salinity stress is a limit factor for plant growth. Therefore, the purpose of this study was to analyze the phytohormones role and oxidative metabolism in response to salt stress of two genotypes of tomato cv. Grand Brix and cv. Marmande RAF, the crops were carried out in a growth chamber. Salinity stress reduces biomass and relative growth rate (RGR) in both genotypes, this effect being greater in cv. Marmande RAF. These results, together with main stress indicator response, the O 2 .- , indicate that cv. Marmande RAF is more sensitive to Saline stress. Grand Brix showed less oxidative stress, because it presented greater detoxification of the O 2 - , due to SOD enzyme activity induction and greater antioxidant capacity. Furthermore, Grand Brix has a better hormonal profile adapted to salt stress resistance, the accumulation of IAA, GA4 and CKs and their beneficial role against oxidative stress could make the difference between resistance and sensitivity to salt stress. On the other hand, a lower ACC concentration, ethylene precursor, combined with a greater O 2 .- detoxification in the cv. Grand Brix could play a fundamental role in tolerance to saline stress. Besides, an increase in ABA levels promotes better stomatal closure, better photosynthesis control and a lower rate of water loss. This data could be essential to select plants with greater resistance to saline stress. Copyright © 2017. Published by Elsevier GmbH.

  9. Transcriptome Analysis of Tomato Leaf Spot Pathogen Fusarium proliferatum: De novo Assembly, Expression Profiling, and Identification of Candidate Effectors

    Directory of Open Access Journals (Sweden)

    Meiling Gao

    2017-12-01

    Full Text Available Leaf spot disease caused by the fungus Fusarium proliferatum (Matsushima Nirenberg is a destructive disease of tomato plants in China. Typical symptoms of infected tomato plants are softened and wilted stems and leaves, leading to the eventual death of the entire plant. In this study, we resorted to transcriptional profile analysis to gain insight into the repertoire of effectors involved in F. proliferatum–tomato interactions. A total of 61,544,598 clean reads were de novo assembled to provide a F. proliferatum reference transcriptome. From these, 75,044 unigenes were obtained, with 19.46% of the unigenes being assigned to 276 Kyoto Encyclopedia of Genes and Genomes (KEGG pathways, with 22.3% having a homology with genes from F. fujikuroi. A total of 18,075 differentially expressed genes (DEGs were identified, 720 of which were found to code for secreted proteins. Of these, 184 were identified as candidate effectors, while 79.89% had an upregulated expression. Moreover, 17 genes that were differentially expressed in RNA-seq studies were randomly selected for validation by quantitative real-time polymerase chain reaction (qRT–PCR. The study demonstrates that transcriptome analysis could be an effective method for identifying the repertoire of candidate effectors and may provide an invaluable resource for future functional analyses of F. proliferatum pathogenicity in F. proliferatum and tomato plant–host interactions.

  10. Identification of multi-criteria for supplier selection in IT project outsourcing

    Science.gov (United States)

    Fusiripong, Prashaya; Baharom, Fauziah; Yusof, Yuhanis

    2017-10-01

    In the increasing global business competitiveness, most organizations have attempted to determine the suitable external parties to support their core and non-core competency, particularly, in IT project outsourcing. The IT supplier selection is required to apply multi-criteria which comprised tangible criteria and intangible criteria in consider optimal IT supplier. Most researches attempted to identify optimal criteria for selecting IT supplier, however, the criteria cannot be the considered common criteria support the variety of IT outsourcing. Therefore, the study aimed to identify a common set of criteria being used in the various types of IT outsourcing. The common criteria are constructed by multi-criteria and success criteria, which were collected by literature review with comprehensive and comparative approach. Consequently, the researchers are able to identify a common set of criteria adopted in the variety of selection problem IT outsourcing supplier.

  11. Enhancing the pharmacodynamic profile of a class of selective COX-2 inhibiting nitric oxide donors.

    Science.gov (United States)

    Biava, Mariangela; Battilocchio, Claudio; Poce, Giovanna; Alfonso, Salvatore; Consalvi, Sara; Di Capua, Angela; Calderone, Vincenzo; Martelli, Alma; Testai, Lara; Sautebin, Lidia; Rossi, Antonietta; Ghelardini, Carla; Di Cesare Mannelli, Lorenzo; Giordani, Antonio; Persiani, Stefano; Colovic, Milena; Dovizio, Melania; Patrignani, Paola; Anzini, Maurizio

    2014-01-15

    We report herein the development, synthesis, physicochemical and pharmacological characterization of a novel class of pharmacodynamic hybrids that selectively inhibit cyclooxygenase-2 (COX-2) isoform and present suitable nitric oxide releasing properties. The replacement of the ester moiety with the amide group gave access to in vivo more stable and active derivatives that highlighted outstanding pharmacological properties. In particular, the glycine derivative proved to be extremely active in suppressing hyperalgesia and edema. Copyright © 2013 Elsevier Ltd. All rights reserved.

  12. Identification of hemoglobin variants by top-down mass spectrometry using selected diagnostic product ions.

    Science.gov (United States)

    Coelho Graça, Didia; Hartmer, Ralf; Jabs, Wolfgang; Beris, Photis; Clerici, Lorella; Stoermer, Carsten; Samii, Kaveh; Hochstrasser, Denis; Tsybin, Yury O; Scherl, Alexander; Lescuyer, Pierre

    2015-04-01

    Hemoglobin disorder diagnosis is a complex procedure combining several analytical steps. Due to the lack of specificity of the currently used protein analysis methods, the identification of uncommon hemoglobin variants (proteoforms) can become a hard task to accomplish. The aim of this work was to develop a mass spectrometry-based approach to quickly identify mutated protein sequences within globin chain variants. To reach this goal, a top-down electron transfer dissociation mass spectrometry method was developed for hemoglobin β chain analysis. A diagnostic product ion list was established with a color code strategy allowing to quickly and specifically localize a mutation in the hemoglobin β chain sequence. The method was applied to the analysis of rare hemoglobin β chain variants and an (A)γ-β fusion protein. The results showed that the developed data analysis process allows fast and reliable interpretation of top-down electron transfer dissociation mass spectra by nonexpert users in the clinical area.

  13. Identification and Structure-Function Analysis of Subfamily Selective G Protein-Coupled Receptor Kinase Inhibitors

    Energy Technology Data Exchange (ETDEWEB)

    Homan, Kristoff T.; Larimore, Kelly M.; Elkins, Jonathan M.; Szklarz, Marta; Knapp, Stefan; Tesmer, John J.G. [Michigan; (Oxford)

    2015-02-13

    Selective inhibitors of individual subfamilies of G protein-coupled receptor kinases (GRKs) would serve as useful chemical probes as well as leads for therapeutic applications ranging from heart failure to Parkinson’s disease. To identify such inhibitors, differential scanning fluorimetry was used to screen a collection of known protein kinase inhibitors that could increase the melting points of the two most ubiquitously expressed GRKs: GRK2 and GRK5. Enzymatic assays on 14 of the most stabilizing hits revealed that three exhibit nanomolar potency of inhibition for individual GRKs, some of which exhibiting orders of magnitude selectivity. Most of the identified compounds can be clustered into two chemical classes: indazole/dihydropyrimidine-containing compounds that are selective for GRK2 and pyrrolopyrimidine-containing compounds that potently inhibit GRK1 and GRK5 but with more modest selectivity. The two most potent inhibitors representing each class, GSK180736A and GSK2163632A, were cocrystallized with GRK2 and GRK1, and their atomic structures were determined to 2.6 and 1.85 Å spacings, respectively. GSK180736A, developed as a Rho-associated, coiled-coil-containing protein kinase inhibitor, binds to GRK2 in a manner analogous to that of paroxetine, whereas GSK2163632A, developed as an insulin-like growth factor 1 receptor inhibitor, occupies a novel region of the GRK active site cleft that could likely be exploited to achieve more selectivity. However, neither compound inhibits GRKs more potently than their initial targets. This data provides the foundation for future efforts to rationally design even more potent and selective GRK inhibitors.

  14. Rapid and inexpensive body fluid identification by RNA profiling-based multiplex High Resolution Melt (HRM) analysis [v1; ref status: indexed, http://f1000r.es/2hj

    OpenAIRE

    Erin K. Hanson; Jack Ballantyne

    2013-01-01

    Positive identification of the nature of biological material present on evidentiary items can be crucial for understanding the circumstances surrounding a crime. However, traditional protein-based methods do not permit the identification of all body fluids and tissues, and thus molecular based strategies for the conclusive identification of all forensically relevant biological fluids and tissues need to be developed. Messenger RNA (mRNA) profiling is an example of such a molecular-based appro...

  15. Biochemical profiling of histone binding selectivity of the yeast bromodomain family.

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    Qiang Zhang

    2010-01-01

    Full Text Available It has been shown that molecular interactions between site-specific chemical modifications such as acetylation and methylation on DNA-packing histones and conserved structural modules present in transcriptional proteins are closely associated with chromatin structural changes and gene activation. Unlike methyl-lysine that can interact with different protein modules including chromodomains, Tudor and MBT domains, as well as PHD fingers, acetyl-lysine (Kac is known thus far to be recognized only by bromodomains. While histone lysine acetylation plays a crucial role in regulation of chromatin-mediated gene transcription, a high degree of sequence variation of the acetyl-lysine binding site in the bromodomains has limited our understanding of histone binding selectivity of the bromodomain family. Here, we report a systematic family-wide analysis of 14 yeast bromodomains binding to 32 lysine-acetylated peptides derived from known major acetylation sites in four core histones that are conserved in eukaryotes.The histone binding selectivity of purified recombinant yeast bromodomains was assessed by using the native core histones in an overlay assay, as well as N-terminally biotinylated lysine-acetylated histone peptides spotted on streptavidin-coated nitrocellulose membrane in a dot blot assay. NMR binding analysis further validated the interactions between histones and selected bromodomain. Structural models of all yeast bromodomains were built using comparative modeling to provide insights into the molecular basis of their histone binding selectivity.Our study reveals that while not all members of the bromodomain family are privileged to interact with acetylated-lysine, identifiable sequence features from those that bind histone emerge. These include an asparagine residue at the C-terminus of the third helix in the 4-helix bundle, negatively charged residues around the ZA loop, and preponderance of aromatic amino acid residues in the binding pocket

  16. Identification of solid state fermentation degree with FT-NIR spectroscopy: Comparison of wavelength variable selection methods of CARS and SCARS

    Science.gov (United States)

    Jiang, Hui; Zhang, Hang; Chen, Quansheng; Mei, Congli; Liu, Guohai

    2015-10-01

    The use of wavelength variable selection before partial least squares discriminant analysis (PLS-DA) for qualitative identification of solid state fermentation degree by FT-NIR spectroscopy technique was investigated in this study. Two wavelength variable selection methods including competitive adaptive reweighted sampling (CARS) and stability competitive adaptive reweighted sampling (SCARS) were employed to select the important wavelengths. PLS-DA was applied to calibrate identified model using selected wavelength variables by CARS and SCARS for identification of solid state fermentation degree. Experimental results showed that the number of selected wavelength variables by CARS and SCARS were 58 and 47, respectively, from the 1557 original wavelength variables. Compared with the results of full-spectrum PLS-DA, the two wavelength variable selection methods both could enhance the performance of identified models. Meanwhile, compared with CARS-PLS-DA model, the SCARS-PLS-DA model achieved better results with the identification rate of 91.43% in the validation process. The overall results sufficiently demonstrate the PLS-DA model constructed using selected wavelength variables by a proper wavelength variable method can be more accurate identification of solid state fermentation degree.

  17. Identification of novel candidate target genes in amplicons of Glioblastoma multiforme tumors detected by expression and CGH microarray profiling.

    Science.gov (United States)

    Ruano, Yolanda; Mollejo, Manuela; Ribalta, Teresa; Fiaño, Concepción; Camacho, Francisca I; Gómez, Elena; de Lope, Angel Rodríguez; Hernández-Moneo, Jose-Luis; Martínez, Pedro; Meléndez, Bárbara

    2006-09-26

    Conventional cytogenetic and comparative genomic hybridization (CGH) studies in brain malignancies have shown that glioblastoma multiforme (GBM) is characterized by complex structural and numerical alterations. However, the limited resolution of these techniques has precluded the precise identification of detailed specific gene copy number alterations. We performed a genome-wide survey of gene copy number changes in 20 primary GBMs by CGH on cDNA microarrays. A novel amplicon at 4p15, and previously uncharacterized amplicons at 13q32-34 and 1q32 were detected and are analyzed here. These amplicons contained amplified genes not previously reported. Other amplified regions containing well-known oncogenes in GBMs were also detected at 7p12 (EGFR), 7q21 (CDK6), 4q12 (PDGFRA), and 12q13-15 (MDM2 and CDK4). In order to identify the putative target genes of the amplifications, and to determine the changes in gene expression levels associated with copy number change events, we carried out parallel gene expression profiling analyses using the same cDNA microarrays. We detected overexpression of the novel amplified genes SLA/LP and STIM2 (4p15), and TNFSF13B and COL4A2 (13q32-34). Some of the candidate target genes of amplification (EGFR, CDK6, MDM2, CDK4, and TNFSF13B) were tested in an independent set of 111 primary GBMs by using FISH and immunohistological assays. The novel candidate 13q-amplification target TNFSF13B was amplified in 8% of the tumors, and showed protein expression in 20% of the GBMs. This high-resolution analysis allowed us to propose novel candidate target genes such as STIM2 at 4p15, and TNFSF13B or COL4A2 at 13q32-34 that could potentially contribute to the pathogenesis of these tumors and which would require futher investigations. We showed that overexpression of the amplified genes could be attributable to gene dosage and speculate that deregulation of those genes could be important in the development and progression of GBM. Our findings highlight

  18. Identification of novel candidate target genes in amplicons of Glioblastoma multiforme tumors detected by expression and CGH microarray profiling

    Directory of Open Access Journals (Sweden)

    Hernández-Moneo Jose-Luis

    2006-09-01

    Full Text Available Abstract Background Conventional cytogenetic and comparative genomic hybridization (CGH studies in brain malignancies have shown that glioblastoma multiforme (GBM is characterized by complex structural and numerical alterations. However, the limited resolution of these techniques has precluded the precise identification of detailed specific gene copy number alterations. Results We performed a genome-wide survey of gene copy number changes in 20 primary GBMs by CGH on cDNA microarrays. A novel amplicon at 4p15, and previously uncharacterized amplicons at 13q32-34 and 1q32 were detected and are analyzed here. These amplicons contained amplified genes not previously reported. Other amplified regions containg well-known oncogenes in GBMs were also detected at 7p12 (EGFR, 7q21 (CDK6, 4q12 (PDGFRA, and 12q13-15 (MDM2 and CDK4. In order to identify the putative target genes of the amplifications, and to determine the changes in gene expression levels associated with copy number change events, we carried out parallel gene expression profiling analyses using the same cDNA microarrays. We detected overexpression of the novel amplified genes SLA/LP and STIM2 (4p15, and TNFSF13B and COL4A2 (13q32-34. Some of the candidate target genes of amplification (EGFR, CDK6, MDM2, CDK4, and TNFSF13B were tested in an independent set of 111 primary GBMs by using FISH and immunohistological assays. The novel candidate 13q-amplification target TNFSF13B was amplified in 8% of the tumors, and showed protein expression in 20% of the GBMs. Conclusion This high-resolution analysis allowed us to propose novel candidate target genes such as STIM2 at 4p15, and TNFSF13B or COL4A2 at 13q32-34 that could potentially contribute to the pathogenesis of these tumors and which would require futher investigations. We showed that overexpression of the amplified genes could be attributable to gene dosage and speculate that deregulation of those genes could be important in the development

  19. Model-based fault detection and identification with online aerodynamic model structure selection

    NARCIS (Netherlands)

    Lombaerts, T.

    2013-01-01

    This publication describes a recursive algorithm for the approximation of time-varying nonlinear aerodynamic models by means of a joint adaptive selection of the model structure and parameter estimation. This procedure is called adaptive recursive orthogonal least squares (AROLS) and is an extension

  20. Non-small-cell lung cancer pathological subtype-related gene selection and bioinformatics analysis based on gene expression profiles.

    Science.gov (United States)

    Chen, Jiangpeng; Dong, Xiaoqi; Lei, Xun; Xia, Yinyin; Zeng, Qing; Que, Ping; Wen, Xiaoyan; Hu, Shan; Peng, Bin

    2018-02-01

    Lung cancer is one of the most common malignant diseases and a major threat to public health on a global scale. Non-small-cell lung cancer (NSCLC) has a higher degree of malignancy and a lower 5-year survival rate compared with that of small-cell lung cancer. NSCLC may be mainly divided into two pathological subtypes, adenocarcinoma and squamous cell carcinoma. The aim of the present study was to identify disease genes based on the gene expression profile and the shortest path analysis of weighted functional protein association networks with the existing protein-protein interaction data from the Search Tool for the Retrieval of Interacting Genes. The gene expression profile (GSE10245) was downloaded from the National Center for Biotechnology Information Gene Expression Omnibus database, including 40 lung adenocarcinoma and 18 lung squamous cell carcinoma tissues. A total of 8 disease genes were identified using Naïve Bayesian Classifier based on the Maximum Relevance Minimum Redundancy feature selection method following preprocessing. An additional 21 candidate genes were selected using the shortest path analysis with Dijkstra's algorithm. The AURKA and SLC7A2 genes were selected three and two times in the shortest path analysis, respectively. All those genes participate in a number of important pathways, such as oocyte meiosis, cell cycle and cancer pathways with Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis. The present findings may provide novel insights into the pathogenesis of NSCLC and enable the development of novel therapeutic strategies. However, further investigation is required to confirm these findings.

  1. [Identification of APEC genes expressed in vivo by selective capture of transcribed sequences].

    Science.gov (United States)

    Chen, Xiang; Gao, Song; Wang, Xiao-quan; Jiao, Xin-an; Liu, Xiu-fan

    2007-06-01

    Direct screening of bacterial genes expressed during infection in the host is limited, because isolation of bacterial transcripts from host tissues necessitates separation from the abundance of host RNA. Selective capture of transcribed sequences (SCOTS) allows the selective capture of bacterial cDNA derived from infected tissues using hybridization to biotinylated bacterial genomic DNA. Avian pathogenic E. coli strain E037 (serogroup O78) was used in a chicken infection model to identify bacterial genes that are expressed in infected tissues. Three-week-old white leghorn specific-pathogen-free chickens were inoculated into the right thoracic air sac with a 0.1 mL suspension containing 10(7) CFU of APEC strain E037. Total RNA was isolated from infected tissues (pericardium and air sacs) 6 or 24h postinfection and converted to cDNAs. By using the cDNA selection method of selective capture of transcribed sequences and enrichment for the isolation of pathogen-specific (non-pathogenic E. coli K-12 strain ) transcripts, pathogen-specific cDNAs were identified. Randomly chosen cDNA clones derived from transcripts in the air sacs or pericardium were selected and sequenced. The clones, termed aec, contained numerous APEC-specific sequences. Among the distinct 31 aec clones, pathogen-specific clones contained sequences homologous to known and novel putative bacterial virulence gene products involved in adherence, iron transport, lipopolysaccharide (LPS) synthesis, plasmid replication and conjugation, putative phage encoded products, and gene products of unknown function. Overall, the current study provided a means to identify novel pathogen-specific genes expressed in vivo and insight regarding the global gene expression of a pathogenic E. coli strain in a natural animal host during the infectious process.

  2. SiNoPsis: Single Nucleotide Polymorphisms selection and promoter profiling.

    Science.gov (United States)

    Boloc, Daniel; Rodríguez, Natalia; Gassó, Patricia; Abril, Josep F; Bernardo, Miquel; Lafuente, Amalia; Mas, Sergi

    2017-09-14

    The selection of a Single Nucleotide Polymorphism (SNP) using bibliographic methods can be a very time-consuming task. Moreover, a SNP selected in this way may not be easily visualized in its genomic context by a standard user hoping to correlate it with other valuable information. Here we propose a web form built on top of Circos that can assist SNP-centred screening, based on their location in the genome and the regulatory modules they can disrupt. Its use may allow researchers to prioritize SNPs in genotyping and disease studies. SiNoPsis is bundled as a web portal. It focuses on the different structures involved in the genomic expression of a gene, especially those found in the core promoter upstream region. These structures include transcription factor binding sites (for promoter and enhancer signals), histones, and promoter flanking regions. Additionally, the tool provides eQTL and linkage disequilibrium (LD) properties for a given SNP query, yielding further clues about other indirectly associated SNPs. Possible disruptions of the aforementioned structures affecting gene transcription are reported using multiple resource databases. SiNoPsis has a simple user-friendly interface, which allows single queries by gene symbol, genomic coordinates, Ensembl gene identifiers, RefSeq transcript identifiers and SNPs. It is the only portal providing useful SNP selection based on regulatory modules and LD with functional variants in both textual and graphic modes (by properly defining the arguments and parameters needed to run Circos). SiNoPsis is freely available at https://compgen.bio.ub.edu/SiNoPsis /.

  3. Profiling of Phenolic Compounds and Antioxidant Activity of Dry Extracts from the Selected Sorbus Species

    Directory of Open Access Journals (Sweden)

    Piotr Michel

    2012-03-01

    Full Text Available The antioxidant efficiency of dry extracts from inflorescences and/or leaves of seven Sorbus species was studied using four in vitro tests of SET (single electron transfer and HAT-type (hydrogen atom transfer mechanisms. The 70% methanol extracts and its diethyl ether, ethyl acetate, n-butanol and water fractions were tested in parallel with the phenolic standards, e.g., caffeic acid, quercetin, BHA, BHT, and TroloxÒ. The SET-type activity of the extracts depended primarily on the extraction solvent. The most valuable extracts were n-butanol and ethyl acetate ones, which activity was high in the DPPH (EC50 = 3.2–5.2 μg/mL, TEAC (2.8–4.0 mmol Trolox®/g, and FRAP (9.8–13.7 mmol Fe2+/g tests, and strongly correlated with the total phenolic levels (39.6–58.2% of gallic acid equivalents. The HPLC-PDA analysis of the extracts led to the identification of chlorogenic acid, isoquercitrin, hyperoside, rutin, quercetin 3-O-sophoroside, and sexangularetin 3-O-b-D-glucopyranoside as the main components. Apart from flavonoids and hydroxycinnamic acids, proanthocyanidins have also a significant impact on the SET-type activity. The HAT-reactivity of the extracts in the linoleic acid peroxidation test (IC50 = 36.9–228.3 μg/mL depended more strongly on the plant tissue than on the extraction solvent, and its correlation with the phenolic content was weak. Both SET and HAT-type activity of the most potent Sorbus extracts was comparable with the activity of the standards, indicating their great potential as effective sources for health products.

  4. Profiling of phenolic compounds and antioxidant activity of dry extracts from the selected Sorbus species.

    Science.gov (United States)

    Olszewska, Monika A; Presler, Anna; Michel, Piotr

    2012-03-12

    The antioxidant efficiency of dry extracts from inflorescences and/or leaves of seven Sorbus species was studied using four in vitro tests of SET (single electron transfer) and HAT-type (hydrogen atom transfer) mechanisms. The 70% methanol extracts and its diethyl ether, ethyl acetate, n-butanol and water fractions were tested in parallel with the phenolic standards, e.g., caffeic acid, quercetin, BHA, BHT, and Trolox. The SET-type activity of the extracts depended primarily on the extraction solvent. The most valuable extracts were n-butanol and ethyl acetate ones, which activity was high in the DPPH (EC(50) = 3.2-5.2 μg/mL), TEAC (2.8-4.0 mmol Trolox/g), and FRAP (9.8-13.7 mmol Fe2+/g) tests, and strongly correlated with the total phenolic levels (39.6-58.2% of gallic acid equivalents). The HPLC-PDA analysis of the extracts led to the identification of chlorogenic acid, isoquercitrin, hyperoside, rutin, quercetin 3-O-sophoroside, and sexangularetin 3-O-β-D-glucopyranoside as the main components. Apart from flavonoids and hydroxycinnamic acids, proanthocyanidins have also a significant impact on the SET-type activity. The HAT-reactivity of the extracts in the linoleic acid peroxidation test (IC(50) = 36.9-228.3 μg/mL) depended more strongly on the plant tissue than on the extraction solvent, and its correlation with the phenolic content was weak. Both SET and HAT-type activity of the most potent Sorbus extracts was comparable with the activity of the standards, indicating their great potential as effective sources for health products.

  5. Molecular Profiling-Selected Therapy for Treatment of Advanced Pancreaticobiliary Cancer: A Retrospective Multicenter Study

    Directory of Open Access Journals (Sweden)

    Ron Epelbaum

    2015-01-01

    Full Text Available This multicenter cohort study assessed the impact of molecular profiling (MP on advanced pancreaticobiliary cancer (PBC. The study included 30 patients treated with MP-guided therapy after failing ≥1 therapy for advanced PBC. Treatment was considered as having benefit for the patient if the ratio between the longest progression-free survival (PFS on MP-guided therapy and the PFS on the last therapy before MP was ≥1.3. The null hypothesis was that ≤15% of patients gain such benefit. Overall, ≥1 actionable (i.e., predictive of response to specific therapies biomarker was identified/patient. Immunohistochemistry (the most commonly used method for guiding treatment decisions identified 1–6 (median: 4 actionable biomarkers per patient. After MP, patients received 1–4 (median: 1 regimens/patient (most commonly, FOLFIRI/XELIRI. In a decision-impact analysis, of the 27 patients for whom treatment decisions before MP were available, 74.1% experienced a treatment decision change in the first line after MP. Twenty-four patients were evaluable for clinical outcome analysis; in 37.5%, the PFS ratio was ≥1.3. In one-sided exact binomial test versus the null hypothesis, P = 0.0015; therefore, the null hypothesis was rejected. In conclusion, our analysis demonstrated the feasibility, clinical decision impact, and potential clinical benefits of MP-guided therapy in advanced PBC.

  6. Neuropsychological profile of Parkinson's disease patients selected for deep brain stimulation surgery

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    Flavia Amaral Machado

    Full Text Available ABSTRACT Background: Parkinson's disease (PD shows symptoms involving motor and non-motor complications, including cognitive and behavioral changes, such changes might to contraindicate deep brain stimulation surgery (DBS. Objective: The aim of study was to investigate the neuropsychological profile of patients with PD in a waiting list for DBS. Methods: The neuropsychological evaluation was held in 30 patients of the ISCMPA Movement Disorders Clinic, with surgical indication based on the criteria of the responsible neurologists, in the period of 12 months. Instruments used: MMSE, FAB, MoCA, BDI, Semantic Verbal Fluency, PDQ-39, PDSS; and the UPDRS and Hoehn-Yahr scale. Results: The patients were mostly male (66.7% with a mean age of 59.37 (SD 10.60 and disease duration 9.33 (SD 4.08. There was cognitive impairment in 56.7% of patients by FAB and 76.7% by MoCA. Conclusion: Even in the earliest stages of the disease, there is the incidence of non-motor symptoms, especially in those subjects who had an early onset of the disease.

  7. Profile of Trace Elements in Selected Medicinal Plants Used for the Treatment of Diabetes in Eritrea.

    Science.gov (United States)

    Sium, Mussie; Kareru, Patrick; Keriko, Joseph; Girmay, Berhane; Medhanie, Ghebrehiwet; Debretsion, Semere

    This study was designed to investigate the profile of certain trace elements having therapeutic properties related to diabetes mellitus. The investigated plants were Aloe camperi, Meriandra dianthera, Lepidium sativum, Brassica nigra, and Nigella sativa. These plants are traditionally used in the management of diabetes in Eritrea. The elemental analysis was conducted using inductively coupled plasma optical emission spectrometry (ICP-OES) and flame atomic absorption spectroscopy (FAAS) techniques. The accuracy of the methods was verified using in-house reference materials (CRMs) and no significant differences were observed between the measured and certified values. The analysis displayed variable concentrations of the different trace elements including Zn, Cr, V, Mn, and Se in the plants. Moreover, the levels of major elements, such as Mg, Ca, K, Na, and Ba, and heavy metals, such as Fe, Cu, Ni, Co, As, and Pb, were determined and found to be in the permissible limit defined by WHO. Among the plants, Meriandra dianthera showed the highest levels of Mn, Cr, V, and other elements and the values were significantly different (P < 0.05).

  8. Profile of Trace Elements in Selected Medicinal Plants Used for the Treatment of Diabetes in Eritrea

    Directory of Open Access Journals (Sweden)

    Mussie Sium

    2016-01-01

    Full Text Available This study was designed to investigate the profile of certain trace elements having therapeutic properties related to diabetes mellitus. The investigated plants were Aloe camperi, Meriandra dianthera, Lepidium sativum, Brassica nigra, and Nigella sativa. These plants are traditionally used in the management of diabetes in Eritrea. The elemental analysis was conducted using inductively coupled plasma optical emission spectrometry (ICP-OES and flame atomic absorption spectroscopy (FAAS techniques. The accuracy of the methods was verified using in-house reference materials (CRMs and no significant differences were observed between the measured and certified values. The analysis displayed variable concentrations of the different trace elements including Zn, Cr, V, Mn, and Se in the plants. Moreover, the levels of major elements, such as Mg, Ca, K, Na, and Ba, and heavy metals, such as Fe, Cu, Ni, Co, As, and Pb, were determined and found to be in the permissible limit defined by WHO. Among the plants, Meriandra dianthera showed the highest levels of Mn, Cr, V, and other elements and the values were significantly different (P<0.05.

  9. Profile of Serogroup Y Meningococcal Infections in Canada: Implications for Vaccine Selection

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    Nicole Le Saux

    2009-01-01

    Full Text Available Canada is a leader in establishing routine infant immunization programs against meningococcal C disease. Currently, all provinces have routine programs to provide meningococcal C conjugate vaccines to infants and children. The result of the existing programs has been a decrease in serogroup C incidence. The second most common vaccine-preventable serogroup in Canada is serogroup Y, the incidence of which has been stable. The availability of a quadrivalent conjugate vaccine against serogroups A, C, Y and W135 focuses attention on serogroup Y disease as it becomes relatively more prominent as a cause of vaccine-preventable invasive meningococcal disease. This vaccine was licensed in November 2006 but is not routinely used except in Nunavut, New Brunswick and Prince Edward Island. To allow a better understanding of the ‘value added’ by a serogroup Y-containing vaccine, it is necessary to have a contemporary profile of Y disease in Canada. In the present paper, recent surveillance data on invasive meningococcal disease across Canada are summarized.

  10. Day 3 embryo selection by metabolomic profiling of culture medium with near-infrared spectroscopy as an adjunct to morphology: a randomized controlled trial

    NARCIS (Netherlands)

    Vergouw, C.G.; Kieslinger, D.C.; Kostelijk, E.H.; Botros, L.L.; Schats, R.; Hompes, P.G.A.; Sakkas, D.; Lambalk, C.B.

    2012-01-01

    study question: Is the selection of a single Day 3 embryo by metabolomic profiling of culture medium with near-infrared (NIR) spectroscopy as an adjunct to morphology able to improve live birth rates in IVF, compared with embryo selection by morphology alone? summary answer: The live birth rate

  11. INVESTMENT PROJECTS IDENTIFICATION AND SELECTION FOR SUSTAINABLE SOCIO-ECONOMIC DEVELOPMENT IN THE REPUBLIC OF MOLDOVA

    Directory of Open Access Journals (Sweden)

    Svetlana GOROBIEVSCHI

    2016-03-01

    Full Text Available The process of socio-economic development of states in XXI century is focused on specific of sustainable development. Currently in Moldova it is realized through economic, social, infrastructure and other projects at different scales. These projects require major resources, but, given the limited nature of the resources, decisionmakers always have to choose the most feasible and the most effective ideas of projects. For such a selection there is a number of criteria / indicators: internal rate of return, payback period, actuarial indicators, etc. In addition to these criteria, the authors propose to use in selection of investment projects economical-mathematical model that takes into account the restrictions prior to the project and its impact by various stakeholders (people involved in the designing and implementation of the project and the direct and indirect beneficiaries of the project.

  12. Selected fluorescent techniques for identification of the physiological state of individual water and soil bacterial cells - review.

    Science.gov (United States)

    Lew, S; Lew, M; Mieszczyński, T; Szarek, J

    2010-03-01

    Stimulated by demands of the natural environment conservation, the need for thorough structural and functional identification of microorganisms colonizing different ecosystems has contributed to an intensive advance in research techniques. The article shows that some of these techniques are also a convenient tool for determination of the physiological state of single cells in a community of microorganisms. The paper presents selected fluorescent techniques, which are used in research on soil, water and sediment microorganisms. It covers the usability of determination of the dehydrogenase activity of an individual bacterial cell (CTC+) and of bacteria with intact, functioning cytoplasmic membranes, bacteria with an integrated nucleiod (NuCC+) as well as fluorescent in situ hybridization (FISH).

  13. Parameter Identification of PMSM Using Immune Clonal Selection Differential Evolution Algorithm

    OpenAIRE

    Guohan Lin; Jing Zhang; Zhaohua Liu

    2014-01-01

    Permanent magnet synchronous motor (PMSM) models with accurate parameters are crucial to high performance PMSM control system designs. As the estimation of PMSM parameters is very difficult due to the nonlinear model complexity, a novel immune clonal differential evolution algorithm (ICDEA) is proposed to identify the electrical parameters of nonsalient pole PMSM. Clonal selection and receptor editing mechanism are introduced to ICDEA to increase the diversity of the population and improve se...

  14. Optimization and validation of a fast amplification protocol for AmpFlSTR® Profiler Plus® for rapid forensic human identification.

    Science.gov (United States)

    Laurin, Nancy; Frégeau, Chantal

    2012-01-01

    The goal of this work was to optimize and validate a fast amplification protocol for the multiplex amplification of the STR loci included in AmpFlSTR(®) Profiler Plus(®) to expedite human DNA identification. By modifying the cycling conditions and by combining the use of a DNA polymerase optimized for high speed PCR (SpeedSTAR™ HS) and a more efficient thermal cycler instrument (Bio-RAD C1000™), we were able to reduce the amplification process from 4h to 26 min. No modification to the commercial AmpFlSTR(®) Profiler Plus(®) primer mix was required. When compared to the current Royal Canadian Mounted Police (RCMP) amplification protocol, no differences with regards to specificity, sensitivity, heterozygote peak height ratios and overall profile balance were noted. Moreover, complete concordance was obtained with profiles previously generated with the standard amplification protocol and minor alleles in mixture samples were reliably typed. An increase in n-4 stutter ratios (2.2% on average for all loci) was observed for profiles amplified with the fast protocol compared to the current procedure. Our results document the robustness of this rapid amplification protocol for STR profiling using the AmpFlSTR(®) Profiler Plus(®) primer set and demonstrate that comparable data can be obtained in substantially less time. This new approach could provide an alternative option to current multiplex STR typing amplification protocols in order to increase throughput or expedite time-sensitive cases. Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.

  15. Identification of peptides that selectively bind to myoglobin by biopanning of phage displayed-peptide library.

    Science.gov (United States)

    Padmanaban, Guruprasath; Park, Hyekyung; Choi, Ji Suk; Cho, Yong-Woo; Kang, Woong Chol; Moon, Chan-Il; Kim, In-San; Lee, Byung-Heon

    2014-10-10

    Biopanning of phage displayed-peptide library was performed against myoglobin, a marker for the early assessment of acute myocardial infarction (AMI), to identify peptides that selectively bind to myoglobin. Using myoglobin-conjugated magnetic beads, phages that bound to myoglobin were collected and amplified for the next round of screening. A 148-fold enrichment of phage titer was observed after five rounds of screening relative to the first round. After phage binding ELISA, three phage clones were selected (3R1, 3R7 and 3R10) and the inserted peptides were chemically synthesized. The analysis of binding affinity showed that the 3R7 (CPSTLGASC) peptide had higher binding affinity (Kd=57 nM) than did the 3R1 (CNLSSSWIC) and 3R10 (CVPRLSAPC) peptide (Kd=125 nM and 293 nM, respectively). Cross binding activity to other proteins, such as bovine serum albumin, troponin I, and creatine kinase-MB, was minimal. In a peptide-antibody sandwich ELISA, the selected peptides efficiently captured myoglobin. Moreover, the concentrations of myoglobin in serum samples measured by a peptide-peptide sandwich assay were comparable to those measured by a commercial antibody-based kit. These results indicate that the identified peptides can be used for the detection of myoglobin and may be a cost effective alternative to antibodies. Copyright © 2014 Elsevier B.V. All rights reserved.

  16. Identification and evidence of positive selection upon resistance gene analogs in cotton (Gossypium hirsutum L.).

    Science.gov (United States)

    Zambounis, Antonios; Ganopoulos, Ioannis; Kalivas, Apostolos; Tsaftaris, Athanasios; Madesis, Panagiotis

    2016-07-01

    Upland cotton (Gossypium hirsutum L.) is an important fiber crop species, which is intensively plagued by a plethora of phytopathogenic fungi such as Fusarium oxysporum f. sp. vasinfectum (Fov) causing severe wilt disease. Resistance gene analogs (RGAs) are the largest class of potential resistance (R) genes depicting highly conserved domains and structures in plants. Additionally, RGAs are pivotal components of breeding projects towards host disease resistance, serving as useful functional markers linked to R genes. In this study, a cloning approach based on conserved RGAs motifs was used in order to amplify 38 RGAs from two upland cotton cultivars differing in their Fov susceptibility. Besides, we assessed the phylogenetic expansion and the evolutionary pressures acting upon 127 RGA homologues, which were previously deposited in GenBank along with the 38 RGAs from this study. A total of 165 RGAs sequences were clustered according to their BLAST(P) similarities in ten paralogous genes groups (PGGs). These RGAs exhibited intensive signs of positive selection as it was revealed by inferring various maximum likelihood analyses. The results showed robust signs of positive selection, acting in almost all PGGs across the phylogeny. The evolutionary analysis revealed the existence of 42 positively selected residue sites across the PGG lineages, putatively affecting their ligand-binding specificities. As RGAs derived markers are in close linkage to R genes, these results could be used in ongoing breeding programs of upland cotton.

  17. Identification of landscape features influencing gene flow: How useful are habitat selection models?

    Science.gov (United States)

    Roffler, Gretchen H.; Schwartz, Michael K.; Pilgrim, Kristy L.; Talbot, Sandra; Sage, Kevin; Adams, Layne G.; Luikart, Gordon

    2016-01-01

    Understanding how dispersal patterns are influenced by landscape heterogeneity is critical for modeling species connectivity. Resource selection function (RSF) models are increasingly used in landscape genetics approaches. However, because the ecological factors that drive habitat selection may be different from those influencing dispersal and gene flow, it is important to consider explicit assumptions and spatial scales of measurement. We calculated pairwise genetic distance among 301 Dall's sheep (Ovis dalli dalli) in southcentral Alaska using an intensive noninvasive sampling effort and 15 microsatellite loci. We used multiple regression of distance matrices to assess the correlation of pairwise genetic distance and landscape resistance derived from an RSF, and combinations of landscape features hypothesized to influence dispersal. Dall's sheep gene flow was positively correlated with steep slopes, moderate peak normalized difference vegetation indices (NDVI), and open land cover. Whereas RSF covariates were significant in predicting genetic distance, the RSF model itself was not significantly correlated with Dall's sheep gene flow, suggesting that certain habitat features important during summer (rugged terrain, mid-range elevation) were not influential to effective dispersal. This work underscores that consideration of both habitat selection and landscape genetics models may be useful in developing management strategies to both meet the immediate survival of a species and allow for long-term genetic connectivity.

  18. Rapid identification of clinical mycobacterial isolates by protein profiling using matrix assisted laser desorption ionization-time of flight mass spectrometry.

    Science.gov (United States)

    Panda, A; Kurapati, S; Samantaray, J C; Myneedu, V P; Verma, A; Srinivasan, A; Ahmad, H; Behera, D; Singh, U B

    2013-01-01

    The purpose of this study was to evaluate the identification of Mycobacterium tuberculosis which is often plagued with ambiguity. It is a time consuming process requiring 4-8 weeks after culture positivity, thereby delaying therapeutic intervention. For a successful treatment and disease management, timely diagnosis is imperative. We evaluated a rapid, proteomic based technique for identification of clinical mycobacterial isolates by protein profiling using matrix assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS). Freshly grown mycobacterial isolates were used. Acetonitrile/trifluoroacetic acid extraction procedure was carried out, following which cinnamic acid charged plates were subjected to identification by MALDI-TOF MS. A comparative analysis of 42 clinical mycobacterial isolates using the MALDI-TOF MS and conventional techniques was carried out. Among these, 97.61% were found to corroborate with the standard methods at genus level and 85.36% were accurate till the species level. One out of 42 was not in accord with the conventional assays because MALDI-TOF MS established it as Mycobacterium tuberculosis (log (score)>2.0) and conventional methods established it to be non-tuberculous Mycobacterium. MALDI-TOF MS was found to be an accurate, rapid, cost effective and robust system for identification of mycobacterial species. This innovative approach holds promise for early therapeutic intervention leading to better patient care.

  19. Identification of temperature changes dynamics in selected castings as a contribution to performance life improvement

    Directory of Open Access Journals (Sweden)

    A. Pytel

    2010-07-01

    Full Text Available Parameters describing boundary conditions and dynamics of temperature changes during casting cooling in foundry moulds and thesuccessive performance, especially as regards the massive cast elements, were discussed. Considering the specific nature of castingoperation, non-standard methods of examination of the isotherms of temperature fields on the casting surface were described to determinelocal overheating resulting from the technological process, chemical composition, properties of the currently applied insulation materials,casting defects and/or design. Identification of these parameters can be interpolated to laboratory conditions and to the validation of virtual models subject to computer simulation. The use in simulation of genetic algorithms combined with the results of measurements under real conditions enables more precise determination of the performance parameters, including critical states of stresses present in a structure. This should allow further optimisation of the massive castings design, considering the specific nature of a manufacturing process (alloy composition included, combined with performance parameters. Measures described here are expected to contribute to the reduced casting weight and longer time of operation.

  20. Profile of rheumatology patients willing to report adverse drug reactions: bias from selective reporting

    Directory of Open Access Journals (Sweden)

    Protić D

    2016-02-01

    Full Text Available Dragana Protić,1 Nada Vujasinović-Stupar,2 Zoran Bukumirić,3 Slavica Pavlov-Dolijanović,4 Snežana Baltić,5 Slavica Mutavdžin,6 Ljiljana Markovic-Denić,7 Marija Zdravković,8 Zoran Todorović1 1Department of Pharmacology, Clinical Pharmacology and Toxicology, Faculty of Medicine, University of Belgrade, Belgrade, Serbia; 2Department 2, Institute of Rheumatology, Faculty of Medicine, University of Belgrade, Belgrade, Serbia; 3Institute for Medical Statistics and Informatics, Faculty of Medicine, University of Belgrade, Belgrade, Serbia; 4Department 5, Institute of Rheumatology, Faculty of Medicine, University of Belgrade, Belgrade, Serbia; 5Department 5, Institute of Rheumatology, Belgrade, Serbia; 6Institute of Physiology “Rihard Burjan”, Faculty of Medicine, University of Belgrade, Belgrade, Serbia; 7Institute of Epidemiology, Faculty of Medicine, University of Belgrade, Belgrade, Serbia; 8Department of Cardiology, Medical Center “Bežanijska kosa”, Faculty of Medicine, University of Belgrade, Belgrade, Serbia Background: Adverse drug reactions (ADRs have a significant impact on human health and health care costs. The aims of our study were to determine the profile of rheumatology patients willing to report ADRs and to identify bias in such a reporting system. Methods: Semi-intensive ADRs reporting system was used in our study. Patients willing to participate (N=261 completed the questionnaire designed for the purpose of the study at the hospital admission. They were subsequently classified into two groups according to their ability to identify whether they had experienced ADRs during the previous month. Group 1 included 214 out of 261 patients who were able to identify ADRs, and group 2 consisted of 43 out of 261 patients who were not able to identify ADRs in their recent medical history. Results: Group 1 patients were more significantly aware of their diagnosis than the patients from group 2. Marginal significance was found

  1. Profile of select hepatic insulin signaling pathway genes in response to 2-aminoanthracene dietary ingestion.

    Science.gov (United States)

    Mattis, N D; Jay, J W; Barnett, G W; Rosaldo, J J; Howerth, E W; Means, J C; Gato, W E

    2014-01-01

    Some genes that regulate various processes such as insulin signaling, glucose metabolism, fatty acid, and lipid biosynthesis were profiled. The objective of the current investigation is to examine the mRNA expression of some genes that mediate insulin signaling due to 2AA toxicity. 2AA is a polycyclic aromatic hydrocarbon (PAH) that has been detected in broiled food and tobacco smoke. Twenty-four post-weaning 3-4-week-old F344 male rats were exposed to 0 mg/kg-diet, 50 mg/kg-diet, 75 mg/kg-diet, and 100 mg/kgdiet 2AA for 2 weeks and 4 weeks. The mRNA expression of AKT1, G6PC, GCK, GLUT4, INSR, IRS1, PP1R3C, PAMPK, SOCS 2, and SREBF1 was determined by qRTPCR followed by the quantification of G6PC and AMPK via ELISA. The results suggest that 2AA modulates these genes depending on the length of exposure. Up-regulation of AMPK and SOCS2 genes in animals treated with 100 mg/kg-diet and 50 mg/kg-diet, respectively, during 14 days of feeding was noted. G6PC expression was inhibited in the 2-week group while being dose-dependently increased in the 4-week group. Hepatic activity of G6PC was enhanced significantly in the livers of rats that ingested 2AA. It appears that 2AA intoxication leads to the activation of irs1 and akt1 genes in the liver. Quantified AMPK amounts increased significantly in the short-term treatment group. Dose-dependent rise of AMPK in animals treated to 2AA showed an increased production of hepatic AMPK in response to the toxicity of 2AA in order to maintain cellular homeostasis. In contrast, the reduction in AMPK concentration in treated animals within the 4-week set indicated an adaptive recovery.

  2. Antimicrobial activities and mineral profile of selected wild plant Linum usitatissimum in Khyber Pakhtunkhwa, Pakistan

    Directory of Open Access Journals (Sweden)

    Saeeda Yousaf

    2017-05-01

    Full Text Available The current study was conducted to investigate the possible potential of Linum usitatissimum in the removal of various human ailments and its mineral profile, as widely distributed in different areas of Khyber Pakhtunkhwa, Pakistan. The preliminary analytical investigation is to confirm the antimicrobial significance of L. usitatissimum, due to the presence of certain bioactive compounds. It was observed that L. usitatissimum exhibit broad spectrum activity against pathogenic bacterial strains were Agrobacterium tumefaciens sp., Bacillus subtilis sp., Clavibacterm ichiganensis sp., Escherichia coli sp., Staphylococcus aureus sp. and Xanthomonas campestris sp. While fungal strains including, viz: Aspergillus flavus sp., Aspergillus niger sp., Trichoderma harzianum sp.,Fusarium oxysporum sp., and Paecilomyces sp. Among all the bacterial strains highest inhibitory zone was recorded against B. subtillis (60.71% followed by S. aureus (48.14% and E. coli (44.0% whereas no activity was observed against A. tumefaciens, C. michiganensis and X. compestris. Among all the fungal isolates highest inhibitory zone was observed against T. harzianum (76.0% as compared to F. oxysporum (65.21% and A. niger (57.89% while A. flavus and Paecilomyces sp., showed complete resistance. The results showed that elemental composition of L. usitatissimum contain significant amount of carbon (63.39% followed by oxygen (33.90%, silicon (0.45%, potassium (0.44%, calcium (0.36%, sodium (0.30%, magnesium (0.25%, sulfur (0.24%, phosphorus (0.21%, chlorine (1.9%, iron (0.18% and aluminum (0.15%. It was concluded from the results the said plant exhibits promising antimicrobial activity and possess sufficient amount of minerals therefore it should be exploited in traditional health care medicine for the treatment of various ailments.

  3. The profile of general practitioners (GPs who publish in selected family practice journals

    Directory of Open Access Journals (Sweden)

    Serna C

    2011-05-01

    Full Text Available Abstract Background Providing support for research is one of the key issues in the ongoing attempts to improve Primary Care. However, when patient care takes up a significant part of a GP's time, conducting research is difficult. In this study we examine the working conditions and profile of GPs who publish in three leading medical journals and propose possible remedial policy actions. Findings The authors of all articles published in 2006 and 2007 in three international Family Medicine journals - Annals of Family Medicine, Family Practice, and Journal of Family Practice - were contacted by E-mail. They were asked to complete a questionnaire investigating the following variables: availability of specific time for research, time devoted to research, number of patients attended, and university affiliation. Only GPs were included in the study. Three hundred and ten relevant articles published between 2006 and 2007 were identified and the authors contacted using a survey tool. 124 researchers responded to our questionnaire; 45% of respondents who were not GPs were excluded. On average GPs spent 2.52 days per week and 6.9 hours per day on patient care, seeing 45 patients per week. Seventy-five per cent of GPs had specific time assigned to research, on average 13 hours per week; 79% were affiliated to a university and 69% held teaching positions. Conclusions Most GPs who publish original articles in leading journals have time specifically assigned to research as part of their normal working schedule. They see a relatively small number of patients. Improving the working conditions of family physicians who intend to investigate is likely to lead to better research results.

  4. Identification of genomic variants putatively targeted by selection during dog domestication.

    Science.gov (United States)

    Cagan, Alex; Blass, Torsten

    2016-01-12

    Dogs [Canis lupus familiaris] were the first animal species to be domesticated and continue to occupy an important place in human societies. Recent studies have begun to reveal when and where dog domestication occurred. While much progress has been made in identifying the genetic basis of phenotypic differences between dog breeds we still know relatively little about the genetic changes underlying the phenotypes that differentiate all dogs from their wild progenitors, wolves [Canis lupus]. In particular, dogs generally show reduced aggression and fear towards humans compared to wolves. Therefore, selection for tameness was likely a necessary prerequisite for dog domestication. With the increasing availability of whole-genome sequence data it is possible to try and directly identify the genetic variants contributing to the phenotypic differences between dogs and wolves. We analyse the largest available database of genome-wide polymorphism data in a global sample of dogs 69 and wolves 7. We perform a scan to identify regions of the genome that are highly differentiated between dogs and wolves. We identify putatively functional genomic variants that are segregating or at high frequency [> = 0.75 Fst] for alternative alleles between dogs and wolves. A biological pathways analysis of the genes containing these variants suggests that there has been selection on the 'adrenaline and noradrenaline biosynthesis pathway', well known for its involvement in the fight-or-flight response. We identify 11 genes with putatively functional variants fixed for alternative alleles between dogs and wolves. The segregating variants in these genes are strong candidates for having been targets of selection during early dog domestication. We present the first genome-wide analysis of the different categories of putatively functional variants that are fixed or segregating at high frequency between a global sampling of dogs and wolves. We find evidence that selection has been strongest

  5. Chronic morphine alters the presynaptic protein profile: identification of novel molecular targets using proteomics and network analysis.

    Directory of Open Access Journals (Sweden)

    Noura S Abul-Husn

    Full Text Available Opiates produce significant and persistent changes in synaptic transmission; knowledge of the proteins involved in these changes may help to understand the molecular mechanisms underlying opiate dependence. Using an integrated quantitative proteomics and systems biology approach, we explored changes in the presynaptic protein profile following a paradigm of chronic morphine administration that leads to the development of dependence. For this, we isolated presynaptic fractions from the striata of rats treated with saline or escalating doses of morphine, and analyzed the proteins in these fractions using differential isotopic labeling. We identified 30 proteins that were significantly altered by morphine and integrated them into a protein-protein interaction (PPI network representing potential morphine-regulated protein complexes. Graph theory-based analysis of this network revealed clusters of densely connected and functionally related morphine-regulated clusters of proteins. One of the clusters contained molecular chaperones thought to be involved in regulation of neurotransmission. Within this cluster, cysteine-string protein (CSP and the heat shock protein Hsc70 were downregulated by morphine. Interestingly, Hsp90, a heat shock protein that normally interacts with CSP and Hsc70, was upregulated by morphine. Moreover, treatment with the selective Hsp90 inhibitor, geldanamycin, decreased the somatic signs of naloxone-precipitated morphine withdrawal, suggesting that Hsp90 upregulation at the presynapse plays a role in the expression of morphine dependence. Thus, integration of proteomics, network analysis, and behavioral studies has provided a greater understanding of morphine-induced alterations in synaptic composition, and identified a potential novel therapeutic target for opiate dependence.

  6. A Rough Guide to Metabolite Identification Using High Resolution Liquid Chromatography Mass Spectrometry in Metabolomic Profiling in Metazoans

    Directory of Open Access Journals (Sweden)

    David G Watson

    2013-01-01

    Full Text Available Compound identification in mass spectrometry based metabolomics can be a problem but sometimes the problem seems to be presented in an over complicated way. The current review focuses on metazoans where the range of metabolites is more restricted than for example in plants. The focus is on liquid chromatography with high resolution mass spectrometry where it is proposed that most of the problems in compound identification relate to structural isomers rather than to isobaric compounds. Thus many of the problems faced relate to separation of isomers, which is usually required even if fragmentation is used to support structural identification. Many papers report the use of MS/MS or MS2 as an adjunct to the identification of known metabolites but there a few examples in metabolomics studies of metazoans of complete structure elucidation of novel metabolites or metabolites where no authentic standards are available for comparison.

  7. Peptide Profiling Using Matrix-Assisted Laser Desorption/Ionization-Time-of-Flight Mass Spectrometry for Identification of Animal Fibers

    OpenAIRE

    Izuchi, Yukari; Tokuhara, Mutsumi; Takashima, Tsuneo; Kuramoto, Kanya

    2013-01-01

    Identification of fibers for verification of their specific animal origin is necessary for maintaining quality and value in the clothing industry. In order to examine adulteration in animal fibers, there is a commercially accepted method of microscopy analysis. However, this method is subjective and time-consuming due to its reliance on an operator identifying magnified fibers from their scale image and other features. Therefore, alternative reliable identification methods are required. In th...

  8. Identification and characterisation of novel SNP markers in Atlantic cod: Evidence for directional selection

    Directory of Open Access Journals (Sweden)

    Fjalestad Kjersti T

    2008-02-01

    Full Text Available Abstract Background The Atlantic cod (Gadus morhua is a groundfish of great economic value in fisheries and an emerging species in aquaculture. Genetic markers are needed to identify wild stocks in order to ensure sustainable management, and for marker-assisted selection and pedigree determination in aquaculture. Here, we report on the development and evaluation of a large number of Single Nucleotide Polymorphism (SNP markers from the alignment of Expressed Sequence Tag (EST sequences in Atlantic cod. We also present basic population parameters of the SNPs in samples of North-East Arctic cod and Norwegian coastal cod obtained from three different localities, and test for SNPs that may have been targeted by natural selection. Results A total of 17,056 EST sequences were used to find 724 putative SNPs, from which 318 segregating SNPs were isolated. The SNPs were tested on Atlantic cod from four different sites, comprising both North-East Arctic cod (NEAC and Norwegian coastal cod (NCC. The average heterozygosity of the SNPs was 0.25 and the average minor allele frequency was 0.18. FST values were highly variable, with the majority of SNPs displaying very little differentiation while others had FST values as high as 0.83. The FST values of 29 SNPs were found to be larger than expected under a strictly neutral model, suggesting that these loci are, or have been, influenced by natural selection. For the majority of these outlier SNPs, allele frequencies in a northern sample of NCC were intermediate between allele frequencies in a southern sample of NCC and a sample of NEAC, indicating a cline in allele frequencies similar to that found at the Pantophysin I locus. Conclusion The SNP markers presented here are powerful tools for future genetics work related to management and aquaculture. In particular, some SNPs exhibiting high levels of population divergence have potential to significantly enhance studies on the population structure of Atlantic cod.

  9. Identification and characterisation of novel SNP markers in Atlantic cod: evidence for directional selection.

    Science.gov (United States)

    Moen, Thomas; Hayes, Ben; Nilsen, Frank; Delghandi, Madjid; Fjalestad, Kjersti T; Fevolden, Svein-Erik; Berg, Paul R; Lien, Sigbjørn

    2008-02-26

    The Atlantic cod (Gadus morhua) is a groundfish of great economic value in fisheries and an emerging species in aquaculture. Genetic markers are needed to identify wild stocks in order to ensure sustainable management, and for marker-assisted selection and pedigree determination in aquaculture. Here, we report on the development and evaluation of a large number of Single Nucleotide Polymorphism (SNP) markers from the alignment of Expressed Sequence Tag (EST) sequences in Atlantic cod. We also present basic population parameters of the SNPs in samples of North-East Arctic cod and Norwegian coastal cod obtained from three different localities, and test for SNPs that may have been targeted by natural selection. A total of 17,056 EST sequences were used to find 724 putative SNPs, from which 318 segregating SNPs were isolated. The SNPs were tested on Atlantic cod from four different sites, comprising both North-East Arctic cod (NEAC) and Norwegian coastal cod (NCC). The average heterozygosity of the SNPs was 0.25 and the average minor allele frequency was 0.18. FST values were highly variable, with the majority of SNPs displaying very little differentiation while others had FST values as high as 0.83. The FST values of 29 SNPs were found to be larger than expected under a strictly neutral model, suggesting that these loci are, or have been, influenced by natural selection. For the majority of these outlier SNPs, allele frequencies in a northern sample of NCC were intermediate between allele frequencies in a southern sample of NCC and a sample of NEAC, indicating a cline in allele frequencies similar to that found at the Pantophysin I locus. The SNP markers presented here are powerful tools for future genetics work related to management and aquaculture. In particular, some SNPs exhibiting high levels of population divergence have potential to significantly enhance studies on the population structure of Atlantic cod.

  10. Ginkgolide X is a potent antagonist of anionic Cys-loop receptors with a unique selectivity profile at glycine receptors

    DEFF Research Database (Denmark)

    Jensen, Anders Asbjørn; Bergmann, Marianne Lerbæk; Sander, Tommy

    2010-01-01

    The novel ginkgolide analog ginkgolide X was characterized functionally at human glycine and gamma-aminobutyric acid type A receptors (GlyRs and GABAARs, respectively) in the fluorescence-based FLIPR Membrane Potential assay. The compound inhibited the signalling of all GABAAR subtypes included...... and alpha2beta subtypes at concentrations up to 300 muM. Thus, the functional properties of the compound were significantly different from those of the naturally occuring ginkgolides A, B, C, J and M but similar to those of picrotoxin. In a mutagenesis study the 6' M2 residues in the GlyR ion channel were...... identified as the primary molecular determinant of the selectivity profile of ginkgolide X, and a 6' M2 ring consisting of five Thr residues was found to be of key importance for its activity at the GABAAR. Conformational analysis and docking of low-energy conformations of the native ginkgolide...

  11. Improvement of Depth Profiling into Biotissues Using Micro Electrical Impedance Spectroscopy on a Needle with Selective Passivation

    Directory of Open Access Journals (Sweden)

    Joho Yun

    2016-12-01

    Full Text Available A micro electrical impedance spectroscopy (EIS-on-a-needle for depth profiling (μEoN-DP with a selective passivation layer (SPL on a hypodermic needle was recently fabricated to measure the electrical impedance of biotissues along with the penetration depths. The SPL of the μEoN-DP enabled the sensing interdigitated electrodes (IDEs to contribute predominantly to the measurement by reducing the relative influence of the connection lines on the sensor output. The discrimination capability of the μEoN-DP was verified using phosphate-buffered saline (PBS at various concentration levels. The resistance and capacitance extracted through curve fitting were similar to those theoretically estimated based on the mixing ratio of PBS and deionized water; the maximum discrepancies were 8.02% and 1.85%, respectively. Depth profiling was conducted using four-layered porcine tissue to verify the effectiveness of the discrimination capability of the μEoN-DP. The magnitude and phase between dissimilar porcine tissues (fat and muscle were clearly discriminated at the optimal frequency of 1 MHz. Two kinds of simulations, one with SPL and the other with complete passivation layer (CPL, were performed, and it was verified that the SPL was advantageous over CPL in the discrimination of biotissues in terms of sensor output.

  12. High-resolution bacterial growth inhibition profiling combined with HPLC-HRMS-SPE-NMR for identification of antibacterial constituents in Chinese plants used to treat snakebites

    DEFF Research Database (Denmark)

    Liu, Yueqiu; Nielsen, Mia; Stærk, Dan

    2014-01-01

    contain compounds with bacterial growth inhibition. Materials and methods The water and ethanol extracts of 88 plant species were screened at 200 μg/mL against Bacillus subtilis, Staphylococcus aureus, Escherichia coli and Pseudomonas aeruginosa for their antibacterial activity by micro-broth dilution...... Bacillus subtilis, Staphylococcus aureus, Escherichia coli or Pseudomonas aeruginosa. The biochromatograms demonstrated that tannins play a main role for the bacterial growth inhibition observed for all above-mentioned plants except for Polygonum cuspidatum. Furthermore, the high-resolution bacterial...... growth inhibition profiling combined with HPLC–HRMS–SPE–NMR allowed fast identification of three non-tannin active compounds, i.e., piceid, resveratrol and emodin from ethanol extract of Polygonum cuspidatum. Conclusion The high-resolution bacterial growth inhibition profiling allowed fast pinpointing...

  13. Identification of a Potent and Selective Cannabinoid CB1 Receptor Antagonist from Auxarthron reticulatum.

    Science.gov (United States)

    Elsebai, Mahmoud Fahmi; Rempel, Viktor; Schnakenburg, Gregor; Kehraus, Stefan; Müller, Christa E; König, Gabriele M

    2011-11-10

    The fungus Auxarthron reticulatum derived from the marine sponge Ircinia variabilis produced the diketopiperazine alkaloid amauromine (1) and the quinolinone methyl-penicinoline (2). Compound 2 is identical to the reported methyl-marinamide, whose structure is herewith revised. In radioligand binding studies at human cannabinoid CB1 and CB2 receptors recombinantly expressed in Chinese hamster ovary (CHO) cells, amauromine (1) was found to exhibit high affinity and selectivity for the CB1 receptor (K i = 178 nM). The compound was shown to be a neutral CB1 antagonist with a K b value of 66.6 nM determined in cAMP assays. Compound 2 exhibited only weak or no effects at CB receptors. To the best of our knowledge, compound 1 is the first fungal natural product that shows affinity for cannabinoid CB1 receptors. Because of its high antagonistic potency and selectivity, it may have potential for use as a drug and/or serve as a lead structure for drug development.

  14. A Hybrid PSO-DEFS Based Feature Selection for the Identification of Diabetic Retinopathy.

    Science.gov (United States)

    Balakrishnan, Umarani; Venkatachalapathy, Krishnamurthi; Marimuthu, Girirajkumar S

    2015-01-01

    Diabetic Retinopathy (DR) is an eye disease, which may cause blindness by the upsurge of insulin in blood. The major cause of visual loss in diabetic patient is macular edema. To diagnose and follow up Diabetic Macular Edema (DME), a powerful Optical Coherence Tomography (OCT) technique is used for the clinical assessment. Many existing methods found out the DME affected patients by estimating the fovea thickness. These methods have the issues of lower accuracy and higher time complexity. In order to overwhelm the above limitations, a hybrid approaches based DR detection is introduced in the proposed work. At first, the input image is preprocessed using green channel extraction and median filter. Subsequently, the features are extracted by gradient-based features like Histogram of Oriented Gradient (HOG) with Complete Local Binary Pattern (CLBP). The texture features are concentrated with various rotations to calculate the edges. We present a hybrid feature selection that combines the Particle Swarm Optimization (PSO) and Differential Evolution Feature Selection (DEFS) for minimizing the time complexity. A binary Support Vector Machine (SVM) classifier categorizes the 13 normal and 75 abnormal images from 60 patients. Finally, the patients affected by DR are further classified by Multi-Layer Perceptron (MLP). The experimental results exhibit better performance of accuracy, sensitivity, and specificity than the existing methods.

  15. Feature Selection for Better Identification of Subtypes of Guillain-Barré Syndrome

    Science.gov (United States)

    Hernández-Torruco, José; Frausto-Solís, Juan; Méndez-Castillo, Juan José

    2014-01-01

    Guillain-Barré syndrome (GBS) is a neurological disorder which has not been explored using clustering algorithms. Clustering algorithms perform more efficiently when they work only with relevant features. In this work, we applied correlation-based feature selection (CFS), chi-squared, information gain, symmetrical uncertainty, and consistency filter methods to select the most relevant features from a 156-feature real dataset. This dataset contains clinical, serological, and nerve conduction tests data obtained from GBS patients. The most relevant feature subsets, determined with each filter method, were used to identify four subtypes of GBS present in the dataset. We used partitions around medoids (PAM) clustering algorithm to form four clusters, corresponding to the GBS subtypes. We applied the purity of each cluster as evaluation measure. After experimentation, symmetrical uncertainty and information gain determined a feature subset of seven variables. These variables conformed as a dataset were used as input to PAM and reached a purity of 0.7984. This result leads to a first characterization of this syndrome using computational techniques. PMID:25302074

  16. Feature Selection for Better Identification of Subtypes of Guillain-Barré Syndrome

    Directory of Open Access Journals (Sweden)

    José Hernández-Torruco

    2014-01-01

    Full Text Available Guillain-Barré syndrome (GBS is a neurological disorder which has not been explored using clustering algorithms. Clustering algorithms perform more efficiently when they work only with relevant features. In this work, we applied correlation-based feature selection (CFS, chi-squared, information gain, symmetrical uncertainty, and consistency filter methods to select the most relevant features from a 156-feature real dataset. This dataset contains clinical, serological, and nerve conduction tests data obtained from GBS patients. The most relevant feature subsets, determined with each filter method, were used to identify four subtypes of GBS present in the dataset. We used partitions around medoids (PAM clustering algorithm to form four clusters, corresponding to the GBS subtypes. We applied the purity of each cluster as evaluation measure. After experimentation, symmetrical uncertainty and information gain determined a feature subset of seven variables. These variables conformed as a dataset were used as input to PAM and reached a purity of 0.7984. This result leads to a first characterization of this syndrome using computational techniques.

  17. Analytical profiling of selected antioxidants and total antioxidant capacity of goji (Lycium spp.) berries.

    Science.gov (United States)

    Protti, Michele; Gualandi, Isacco; Mandrioli, Roberto; Zappoli, Sergio; Tonelli, Domenica; Mercolini, Laura

    2017-09-05

    Goji berries and derived products represent a relevant source of micronutrients, most of which are natural antioxidants and contribute to the high nutritional quality of these fruits. Three brands of dried goji berries have been analysed by a multidisciplinary approach to get an insight into both their content of selected antioxidants and their antioxidant capacity (AC). The former goal has been achieved by developing a liquid chromatographic method coupled to mass spectrometry and combined to a fast solid phase extraction. Several significant representative antioxidant compounds belonging to the following classes: flavonoids, flavan-3-ols, phenolic acids, amino acids and derivatives, and carotenoids have been taken into account. Quercetin and rutin were found to be the predominant flavonoids, chlorogenic acid was the most abundant phenolic acid and zeaxanthin was the major carotenoid. The AC of the goji berries has been evaluated by four analytical methods in order to estimate the contributions of different reactions involved in radicals scavenging. In particular, AC has been determined using 3 standardised methods (DPPH, ABTS, ORAC) and a recently proposed electrochemical method, which measures the scavenging activity of antioxidants towards OH radicals generated both by hydrogen peroxide photolysis and the Fenton reaction. The results obtained from chemical composition and antioxidant capacity assays confirm the high nutritional and commercial value of goji berries and highlight that the three brands do not exhibit significant differences. Copyright © 2017 Elsevier B.V. All rights reserved.

  18. Plasma cytokine profiles in depressed patients who fail to respond to selective serotonin reuptake inhibitor therapy.

    LENUS (Irish Health Repository)

    O'Brien, Sinead M

    2012-02-03

    OBJECTIVE: Approximately 30% of patients with depression fail to respond to a selective serotonin reuptake inhibitor (SSRI). Few studies have attempted to define these patients from a biological perspective. Studies suggest that overall patients with depression show increased production of proinflammatory cytokines. We examined pro- and anti-inflammatory cytokine levels in patients who were SSRI resistant. METHODS: Plasma concentrations of IL-6, IL-8, IL-10, TNF-alpha and sIL-6R were measured with enzyme linked immunosorbent assays (ELISA) in DSM-1V major depressives who were SSRI resistant, in formerly SSRI resistant patients currently euthymic and in healthy controls. RESULTS: Patients with SSRI-resistant depression had significantly higher production of the pro-inflammatory cytokines IL-6 (p=0.01) and TNF-alpha (p=0.004) compared to normal controls. Euthymic patients who were formerly SSRI resistant had proinflammatory cytokine levels which were similar to the healthy subject group. Anti-inflammatory cytokine levels did not differ across the 3 groups. CONCLUSION: Suppression of proinflammatory cytokines does not occur in depressed patients who fail to respond to SSRIs and is necessary for clinical recovery.

  19. Anti-inflammatory and antibacterial profiles of selected compounds found in South African propolis

    Directory of Open Access Journals (Sweden)

    S. Buthelezi

    2010-02-01

    Full Text Available Propolis is a complex resinous substance manufactured by honey bees to scaffold and protect the hive against pathogens. Although it has been widely used for its medicinal properties, it is unknown whether the activity depends on the concentrations of specific constituents or on potentiation between these. This study describes (1 the individual topical anti-inflammatory activities of selected flavonoids commonly found in propolis, and (2 their antibacterial activities, alone or in combination with the non-flavonoid caffeic acid phenethyl ester (CAPE. For the anti-inflammatory activities, the reduction in croton oil-induced oedema in a mouse model, after topical application of quercetin and galangin for 3 h, was more than 50%, while after 6 h of treatment the reduction was less then 50%. By contrast, the suppressive activity of luteolin was about 30% and 50%, for treatments of 3 h and 6 h, respectively. The maximum inhibition of the growth of Staphylococcus aureus by each of CAPE, eriodictyol and quercetin was about 20%, while luteolin was inactive. When combined with CAPE, potentiation of the antibacterial effect was observed in the case of luteolin, but antagonism was observed when combined with either eriodictyol or quercetin. The propolis flavonoids each appear to have significant anti-inflammatory activity while their antibacterial activities are somewhat weaker and significant only when luteolin was combined with CAPE.

  20. Expression Profiling of Selected Glutathione Transferase Genes in Zea mays (L.) Seedlings Infested with Cereal Aphids

    Science.gov (United States)

    Sytykiewicz, Hubert; Chrzanowski, Grzegorz; Czerniewicz, Paweł; Sprawka, Iwona; Łukasik, Iwona; Goławska, Sylwia; Sempruch, Cezary

    2014-01-01

    The purpose of this report was to evaluate the expression patterns of selected glutathione transferase genes (gst1, gst18, gst23 and gst24) in the tissues of two maize (Zea mays L.) varieties (relatively resistant Ambrozja and susceptible Tasty Sweet) that were colonized with oligophagous bird cherry-oat aphid (Rhopalosiphum padi L.) or monophagous grain aphid (Sitobion avenae L.). Simultaneously, insect-triggered generation of superoxide anion radicals (O2•−) in infested Z. mays plants was monitored. Quantified parameters were measured at 1, 2, 4, 8, 24, 48 and 72 h post-initial aphid infestation (hpi) in relation to the non-infested control seedlings. Significant increases in gst transcript amounts were recorded in aphid-stressed plants in comparison to the control seedlings. Maximal enhancement in the expression of the gst genes in aphid-attacked maize plants was found at 8 hpi (gst23) or 24 hpi (gst1, gst18 and gst24) compared to the control. Investigated Z. mays cultivars formed excessive superoxide anion radicals in response to insect treatments, and the highest overproduction of O2•− was noted 4 or 8 h after infestation, depending on the aphid treatment and maize genotype. Importantly, the Ambrozja variety could be characterized as having more profound increments in the levels of gst transcript abundance and O2•− generation in comparison with the Tasty Sweet genotype. PMID:25365518

  1. Selected soil profile representing the unique soil-landscape-vineyard constellation in the Tokaj Historical Wine Region

    Science.gov (United States)

    Pásztor, László; Lukácsy, György; Szabó, József; László, Péter; Bakacsi, Zsófia; Koós, Sándor; Laborczi, Annamária; Takács, Katalin

    2015-04-01

    Our poster shows a typical soil profile which was excavated in 2014 during a detailed field survey carried in the Tokaj Historical Wine Region for the mapping of the state of vineyards. The high resolution picture of the profile itself is accompanied by proper images representing the hilly landscape and the vineyards, where the singular wines of Tokaj are produced. Tokaj is a historical region for botritized dessert wine making, the famed Tokaji wine region has the distinction of being Europe's first classified wine region. Very recently the sustainable quality wine production in the region was targeted, which requires detailed and "terroir-based approach" characterization of viticultural land. Tokaj Wine Region includes 27 settlements and is located in Northeast-Hungary, at Hegyalja in Tokaj Mountains, which were formed mostly by Miocene volcanic activity; andesite and rhyolite lavas and tuffs are characteristic. The Kopasz-hegy near Tokaj is covered by loess. Hegyalja is a pediment surface which dissected by erosional and derasional valleys and basins. The various morphology of this area results diversity in soil types and soil properties as well. Soil plays dominant role determining the viticultural potential, so specific information on soil properties was surveyed and mapped to satisfy these requirements. Soil sampling was carried out in 200 sampling points. The sampling strategy was designed to be as representative as possible taking the existing constraints into consideration based on spatial simulated annealing technique. Sampling points were assigned to represent the combinations of three basic parameters (slope, aspect and geology) which have high influence on main soil properties. The data collection consisted of field description and tests as well as laboratory measurements of the collected soil and geological samples. The 22 most representative locations were more deeply surveyed by excavating soil profiles. One of the most nice-looking profile has been

  2. Identification and characterization of a potent and selective inhibitor of human urate transporter 1.

    Science.gov (United States)

    Wu, Ting; Chen, Jiasheng; Dong, Shuai; Li, Haixin; Cao, Ying; Tian, Yuanxin; Fu, Weimin; Zhou, Pingzheng; Xi, Baomin; Pang, Jianxin

    2017-05-06

    Selective inhibitors of human urate transporter 1 (hURAT1) are considered to be effective treatment for hyperuricemia and gout, which can reduce the reabsorption of more than 90% of uric acid in the proximal tubule of the kidney. We aimed to design and synthesize a more potent hURAT1 based on the structure of Lesinurad (LU), which was reported to lower uric acid levels with IC50 value of hURAT1 (about 60μM). A cell model was conducted and characterized via Real-time qRCR and Western blot. We synthesized and identified a new midazole analogue of LU. Cells stably-expressing hURAT1 or human organic anion transporter 1 (hOAT1) were used in the [(14)C] urate or 6-carboxyfluorescein (6-CF) uptake assays to test the activities of the newly synthesized compound. The uric acid lowering effects of LU and LUM and their effects on urea nitrogen and creatinine in potassium oxonate-induced hyperuricemic rats were analyzed. The [(14)C] Urate uptake assay using hURAT1 stably transfected MDCK cells indicated that LUM was more potent than LU against hURAT1, with IC50 values of 3.22μM and 65.47μM, respectively. LU and LUM also effectively suppressed hOAT1-mediated 6-CF uptake, and the IC50 hURAT1/IC50 hOAT1 of LU and LUM was1.49 and 0.35 respectively, indicating a better selectivity for LUM than LU. In vivo, LUM-Na (40mg/kg) showed more potent activity in reducing serum uric acid levels in potassium oxonate-induced hyperuricemic rats, compared to similar doses of LU-Na. LUM was demonstrated to be as potent a uricosuric drug as LU. Copyright © 2017. Published by Elsevier Urban & Partner Sp. z o.o.

  3. Structure-selective hot-spot Raman enhancement for direct identification and detection of trace penicilloic acid allergen in penicillin.

    Science.gov (United States)

    Zhang, Liying; Jin, Yang; Mao, Hui; Zheng, Lei; Zhao, Jiawei; Peng, Yan; Du, Shuhu; Zhang, Zhongping

    2014-08-15

    Trace penicilloic acid allergen frequently leads to various fatal immune responses to many patients, but it is still a challenge to directly discriminate and detect its residue in penicillin by a chemosensing way. Here, we report that silver-coated gold nanoparticles (Au@Ag NPs) exhibit a structure-selective hot-spot Raman enhancement capability for direct identification and detection of trace penicilloic acid in penicillin. It has been demonstrated that penicilloic acid can very easily link Au@Ag NPs together by its two carboxyl groups, locating itself spontaneously at the interparticle of Au@Ag NPs to form strong Raman hot-spot. At the critical concentration inducing the nanoparticle aggregation, Raman-enhanced effect of penicilloic acid is ~60,000 folds higher than that of penicillin. In particular, the selective Raman enhancement to the two carboxyl groups makes the peak of carboxyl group at C6 of penicilloic acid appear as a new Raman signal due to the opening of β-lactam ring of penicillin. The surface-enhanced Raman scattering (SERS) nanoparticle sensor reaches a sensitive limit lower than the prescribed 1.0‰ penicilloic acid residue in penicillin. The novel strategy to examine allergen is more rapid, convenient and inexpensive than the conventional separation-based assay methods. Copyright © 2014 Elsevier B.V. All rights reserved.

  4. Identification of dipeptidyl nitriles as potent and selective inhibitors of cathepsin B through structure-based drug design.

    Science.gov (United States)

    Greenspan, P D; Clark, K L; Tommasi, R A; Cowen, S D; McQuire, L W; Farley, D L; van Duzer, J H; Goldberg, R L; Zhou, H; Du, Z; Fitt, J J; Coppa, D E; Fang, Z; Macchia, W; Zhu, L; Capparelli, M P; Goldstein, R; Wigg, A M; Doughty, J R; Bohacek, R S; Knap, A K

    2001-12-20

    Cathepsin B is a member of the papain superfamily of cysteine proteases and has been implicated in the pathology of numerous diseases, including arthritis and cancer. As part of an effort to identify potent, reversible inhibitors of this protease, we examined a series of dipeptidyl nitriles, starting with the previously reported Cbz-Phe-NH-CH(2)CN (19, IC(50) = 62 microM). High-resolution X-ray crystallographic data and molecular modeling were used to optimize the P(1), P(2), and P(3) substituents of this template. Cathepsin B is unique in its class in that it contains a carboxylate recognition site in the S(2)' pocket of the active site. Inhibitor potency and selectivity were enhanced by tethering a carboxylate functionality from the carbon alpha to the nitrile to interact with this region of the enzyme. This resulted in the identification of compound 10, a 7 nM inhibitor of cathepsin B, with excellent selectivity over other cysteine cathepsins.

  5. Identification of a Selective G1-Phase Benzimidazolone Inhibitor by a Senescence-Targeted Virtual Screen Using Artificial Neural Networks.

    Science.gov (United States)

    Bilsland, Alan E; Pugliese, Angelo; Liu, Yu; Revie, John; Burns, Sharon; McCormick, Carol; Cairney, Claire J; Bower, Justin; Drysdale, Martin; Narita, Masashi; Sadaie, Mahito; Keith, W Nicol

    2015-09-01

    Cellular senescence is a barrier to tumorigenesis in normal cells, and tumor cells undergo senescence responses to genotoxic stimuli, which is a potential target phenotype for cancer therapy. However, in this setting, mixed-mode responses are common with apoptosis the dominant effect. Hence, more selective senescence inducers are required. Here we report a machine learning-based in silico screen to identify potential senescence agonists. We built profiles of differentially affected biological process networks from expression data obtained under induced telomere dysfunction conditions in colorectal cancer cells and matched these to a panel of 17 protein targets with confirmatory screening data in PubChem. We trained a neural network using 3517 compounds identified as active or inactive against these targets. The resulting classification model was used to screen a virtual library of ~2M lead-like compounds. One hundred and forty-seven virtual hits were acquired for validation in growth inhibition and senescence-associated β-galactosidase assays. Among the found hits, a benzimidazolone compound, CB-20903630, had low micromolar IC50 for growth inhibition of HCT116 cells and selectively induced senescence-associated β-galactosidase activity in the entire treated cell population without cytotoxicity or apoptosis induction. Growth suppression was mediated by G1 blockade involving increased p21 expression and suppressed cyclin B1, CDK1, and CDC25C. In addition, the compound inhibited growth of multicellular spheroids and caused severe retardation of population kinetics in long-term treatments. Preliminary structure-activity and structure clustering analyses are reported, and expression analysis of CB-20903630 against other cell cycle suppressor compounds suggested a PI3K/AKT-inhibitor-like profile in normal cells, with different pathways affected in cancer cells. Copyright © 2015 The Authors. Published by Elsevier Inc. All rights reserved.

  6. Identification of a Selective G1-Phase Benzimidazolone Inhibitor by a Senescence-Targeted Virtual Screen Using Artificial Neural Networks

    Directory of Open Access Journals (Sweden)

    Alan E. Bilsland

    2015-09-01

    Full Text Available Cellular senescence is a barrier to tumorigenesis in normal cells, and tumor cells undergo senescence responses to genotoxic stimuli, which is a potential target phenotype for cancer therapy. However, in this setting, mixed-mode responses are common with apoptosis the dominant effect. Hence, more selective senescence inducers are required. Here we report a machine learning–based in silico screen to identify potential senescence agonists. We built profiles of differentially affected biological process networks from expression data obtained under induced telomere dysfunction conditions in colorectal cancer cells and matched these to a panel of 17 protein targets with confirmatory screening data in PubChem. We trained a neural network using 3517 compounds identified as active or inactive against these targets. The resulting classification model was used to screen a virtual library of ~2M lead-like compounds. One hundred and forty-seven virtual hits were acquired for validation in growth inhibition and senescence-associated β-galactosidase assays. Among the found hits, a benzimidazolone compound, CB-20903630, had low micromolar IC50 for growth inhibition of HCT116 cells and selectively induced senescence-associated β-galactosidase activity in the entire treated cell population without cytotoxicity or apoptosis induction. Growth suppression was mediated by G1 blockade involving increased p21 expression and suppressed cyclin B1, CDK1, and CDC25C. In addition, the compound inhibited growth of multicellular spheroids and caused severe retardation of population kinetics in long-term treatments. Preliminary structure-activity and structure clustering analyses are reported, and expression analysis of CB-20903630 against other cell cycle suppressor compounds suggested a PI3K/AKT-inhibitor–like profile in normal cells, with different pathways affected in cancer cells.

  7. Identification and Structure-Activity Relationships of Diarylhydrazides as Novel Potent and Selective Human Enterovirus Inhibitors.

    Science.gov (United States)

    Han, Xin; Sun, Ningyuan; Wu, Haoming; Guo, Deyin; Tien, Po; Dong, Chune; Wu, Shuwen; Zhou, Hai-Bing

    2016-03-10

    Enterovirus 71 (EV71) plays an important role in hand-foot-and-mouth disease. In this study, a series of diarylhydrazide analogues was synthesized, and the systematic exploration of SAR led to potent enterovirus inhibitors, of which compound 15 exhibits significant improvements in inhibition potency with an EC50 value of 0.02 μM against EV71. It is very interesting that this class of diarylhydrazides exhibits activities against a series of human enteroviruses at the picomolar level, including EV71 and Coxsackieviruses B1 (CVB1), CVB2, CVB3, CVB4, CVB5, and CVB6 (EC50 as low as 0.5 nM). Compared with the reference antienterovirus drug 1 (enviroxime) and known inhibitor 5 (WIN 51711), the four highly selective compounds 15, 27, 41 and 47 inhibited EV71 replication with EC50 values of 0.17-0.02 μM and SI values in a range of 978.4-12338. A preliminary mechanistic study indicated that VP1 might be the target site for this type of compound.

  8. Selected Area XPS Analysis for Identification of Pigment Compounds in Microscopic Paint Flakes

    Directory of Open Access Journals (Sweden)

    Camilla Baskcomb

    2008-05-01

    Full Text Available The application of X-ray photoelectron spectroscopy to the analysis of paint flakes from a painting by Henry Fuseli (1741–1825 is presented. Historically, the application of XPS to art conservation and restoration studies has been limited by the poor spatial resolution of the technique. Presented here is the successful analysis of paint flakes in the order of 100 μm using “imaging” XPS in conjunction with selected area analysis. Raman microscopy failed to satisfactorily identify the compounds present in this instance, and energy dispersive spectroscopy could not differentiate between lead and sulphur (two of the elements of interest due to the limited energy resolution inherent in that technique. Using XPS analysis of the lead 4f peak revealed that the pigment was a lead-based pigment, in this case comprising exclusively lead-sulphur compounds.

  9. Voltammetric electronic tongue and support vector machines for identification of selected features in Mexican coffee.

    Science.gov (United States)

    Domínguez, Rocio Berenice; Moreno-Barón, Laura; Muñoz, Roberto; Gutiérrez, Juan Manuel

    2014-09-24

    This paper describes a new method based on a voltammetric electronic tongue (ET) for the recognition of distinctive features in coffee samples. An ET was directly applied to different samples from the main Mexican coffee regions without any pretreatment before the analysis. The resulting electrochemical information was modeled with two different mathematical tools, namely Linear Discriminant Analysis (LDA) and Support Vector Machines (SVM). Growing conditions (i.e., organic or non-organic practices and altitude of crops) were considered for a first classification. LDA results showed an average discrimination rate of 88% ± 6.53% while SVM successfully accomplished an overall accuracy of 96.4% ± 3.50% for the same task. A second classification based on geographical origin of samples was carried out. Results showed an overall accuracy of 87.5% ± 7.79% for LDA and a superior performance of 97.5% ± 3.22% for SVM. Given the complexity of coffee samples, the high accuracy percentages achieved by ET coupled with SVM in both classification problems suggested a potential applicability of ET in the assessment of selected coffee features with a simpler and faster methodology along with a null sample pretreatment. In addition, the proposed method can be applied to authentication assessment while improving cost, time and accuracy of the general procedure.

  10. Experimental evaluation of the Continuous Risk Profile (CRP) approach to the current Caltrans methodology for high collision concentration location identification.

    Science.gov (United States)

    2012-03-01

    This report evaluates the performance of Continuous Risk Profile (CRP) compared with the : Sliding Window Method (SWM) and Peak Searching (PS) methods. These three network : screening methods all require the same inputs: traffic collision data and Sa...

  11. Identification of selected organic contaminants in streams associated with agricultural activities and comparison between autosampling and silicone rubber passive sampling.

    Science.gov (United States)

    Emelogu, Emmanuel S; Pollard, Pat; Robinson, Craig D; Webster, Lynda; McKenzie, Craig; Napier, Fiona; Steven, Lucy; Moffat, Colin F

    2013-02-15

    This study evaluates the potential of silicone rubber passive sampling devices (SR-PSDs) as a suitable alternative to automatic water samplers (autosamplers) for the preliminary identification of a wide range of organic contaminants in freshwater systems. The field performance of SR-PSDs deployed at three sites on two streams of an agricultural catchment area in North East (NE) Scotland, United Kingdom (UK) was assessed concurrently with composite water samples collected from two of the sites using autosamplers. The analytical suite consisted of selected plant protection products (PPPs; commonly referred to collectively as 'pesticides'), including 47 pesticides and a separate sub-category of 22 acid/urea herbicides. Of these, a total of 54 substances, comprising 46 pesticides and 8 urea herbicides were detected in at least one of the SR samplers. All but 6 of these SR-PSD detected substances were quantifiable. By comparison, a total of 25 substances comprising 3 pesticides and 22 acid/urea herbicides were detected in the composite water samples, of which only 8 acid/urea herbicides were quantifiable. The larger number and chemical classes of compounds detected and quantified via passive sampling reflect the lower limits of detection achieved by this device when compared to autosamplers. The determination of dissolved concentrations of polycyclic aromatic hydrocarbons (PAHs) and polychlorinated biphenyls (PCBs) added to the information on contaminant pressures at each site, allowing assessment of the reliability of SR-PSDs in freshwater systems and the identification of possible contaminant sources. The study demonstrated the utility of SR-PSDs for detecting and semi-quantifying low concentrations of analytes, including those which hitherto have not been measured in the catchment area and also some pesticides that are no longer approved for agricultural use in the UK and EU. The SR-PSD approach can thus provide a better understanding and clearer picture of the use

  12. Selection and identification of oleaginous yeast isolated from soil, animal feed and ruminal fluid for use as feed supplement in dairy cattle.

    Science.gov (United States)

    Paserakung, A; Pattarajinda, V; Vichitphan, K; Froetschel, M A

    2015-10-01

    The purpose of this study was to select oleaginous yeast for microbial lipid production. Sixty-four yeast isolates were obtained from soil (GSY1-12), animal feeds (FDY1-21), and ruminal fluid (RMY1-31) using yeast extract peptone dextrose (YPD) agar. The cultivation of these isolates on nitrogen limited-medium revealed that GSY2 to GSY6, GSY10, FDY2, FDY12 and FDY14 accumulated lipid over 20% of dry biomass. Therefore, they were preliminarily classified as oleaginous yeast. In subsequent experiment, an 8 × 3 factorial in completely randomized design was conducted to examine the effect of eight oleaginous yeast strains and three nitrogen sources (peptone, (NH4 )2 SO4 , urea) on lipid accumulation when using molasses as substrate. The result illustrated that only GSY3 and GSY10 accumulated lipid over 20% of biomass when using peptone or (NH4 )2 SO4 but urea did not. However, GSY10 gave higher biomass and lipid yield than GSY3 (P < 0·05). Identification of GSY10 using 26S rDNA illustrated that GSY10 belongs to Trichosporon asahii. Fatty acid profiles of this strain contained unsaturated fats up to 62·5% of which oleic acid (C18:1 ) was predominant. In conclusion, T. asahii GSY10 was the most promising oleaginous yeast for microbial lipid production from molasses. This study illustrated the ability of T. asahii GSY10 to utilize molasses and (NH4 )2 SO4 for synthesizing and accumulating cellular lipid of which oleic acid (C18:1 ) was predominant. This yeast would be used for microbial lipid production used as feed supplement in dairy cattle. © 2015 The Society for Applied Microbiology.

  13. Whole genome sequencing of peach (Prunus persica L.) for SNP identification and selection.

    Science.gov (United States)

    Ahmad, Riaz; Parfitt, Dan E; Fass, Joseph; Ogundiwin, Ebenezer; Dhingra, Amit; Gradziel, Thomas M; Lin, Dawei; Joshi, Nikhil A; Martinez-Garcia, Pedro J; Crisosto, Carlos H

    2011-11-22

    The application of next generation sequencing technologies and bioinformatic scripts to identify high frequency SNPs distributed throughout the peach genome is described. Three peach genomes were sequenced using Roche 454 and Illumina/Solexa technologies to obtain long contigs for alignment to the draft 'Lovell' peach sequence as well as sufficient depth of coverage for 'in silico' SNP discovery. The sequences were aligned to the 'Lovell' peach genome released April 01, 2010 by the International Peach Genome Initiative (IPGI). 'Dr. Davis', 'F8, 1-42' and 'Georgia Belle' were sequenced to add SNPs segregating in two breeding populations, Pop DF ('Dr. Davis' × 'F8, 1-42') and Pop DG ('Dr. Davis' × 'Georgia Belle'). Roche 454 sequencing produced 980,000 total reads with 236 Mb sequence for 'Dr. Davis' and 735,000 total reads with 172 Mb sequence for 'F8, 1-42'. 84 bp × 84 bp paired end Illumina/Solexa sequences yielded 25.5, 21.4, 25.5 million sequences for 'Dr. Davis', 'F8, 1-42' and 'Georgia Belle', respectively. BWA/SAMtools were used for alignment of raw reads and SNP detection, with custom PERL scripts for SNP filtering. Velvet's Columbus module was used for sequence assembly. Comparison of aligned and overlapping sequences from both Roche 454 and Illumina/Solexa resulted in the selection of 6654 high quality SNPs for 'Dr. Davis' vs. 'F8, 1-42' and 'Georgia Belle', distributed on eight major peach genome scaffolds as defined from the 'Lovell' assembly. The eight scaffolds contained about 215-225 Mb of peach genomic sequences with one SNP/~ 40,000 bases. All sequences from Roche 454 and Illumina/Solexa have been submitted to NCBI for public use in the Short Read Archive database. SNPs have been deposited in the NCBI SNP database.

  14. Rapid identification of Iranian Acinetobacter baumannii strains by single PCR assay using BLA oxa-51 -like carbapenemase and evaluation of the antimicrobial resistance profiles of the isolates.

    Science.gov (United States)

    Akbari, Mahdi; Mahdi, Akbari; Niakan, Mohammad; Mohammad, Niakan; Taherikalani, Morovat; Morovat, Taherikalani; Feizabadi, Mohammad Mehdi; Mhammad-Mahdi, Feizabadi; Azadi, Namam Ali; Namam-Ali, Azadi; Soroush, Setareh; Setareh, Soroush; Emaneini, Mohammad; Mohammad, Emaneini; Abdolkarimi, Amir; Amir, Abdolkarimi; Maleki, Abbas; Abbas, Maleki; Hematian, Ali; Ali, Hematian

    2010-06-01

    The rapid identification of relevant bacterial pathogens is of utmost importance in clinical settings. The aim of this study was to test a rapid identification technique for A. baumannii strains from Tehran Hospitals and to determine the antibiotic resistance profiles of the isolates. A hundred strains of Acinetobacter spp. grown from clinical specimens were identified as A. baumannii by conventional methods. Using PCR a bla OXA-51 -like gene was detected in all A. baumannii isolates but not in other species of acinetobacter. More than half of the isolates proved resistant to a variety of antibiotics by the disk diffusion technique. The rate of resistance to gentamicin, imipenem, ampicillin-sulbactam and amikacin was determined to be 45%, 53%, 62% and 62%, respectively. Moreover, most isolates (more than 90%) showed resistance to cephalosporins. This study shows that the demonstration of the bla OXA-51-like gene is a reliable and rapid way for the presumptive identification of A. baumannii and reveals that the rate of antibiotic resistance is high in Iranian A. baumannii isolates to a variety of antibiotics.

  15. Prospective evaluation of the chromogenic medium CandiSelect 4 for differentiation and presumptive identification of non-Candida albicans Candida species

    NARCIS (Netherlands)

    Zhao, Liang; de Hoog, G Sybren; Cornelissen, Akke; Lyu, Qian; Mou, Lili; Liu, Taohua; Cao, Yu; Vatanshenassan, Mansoureh; Kang, Yingqian

    Rapid identification of pathogenic yeasts is a crucial step in timely and appropriate antifungal therapy. For diagnostics in the clinical laboratory, simplified alternatives to barcoding are needed. CandiSelect 4 (CS4) medium, a chromogenic medium for isolation of clinical yeasts, allows routine

  16. Successful DNA Profiling for Identification of burnt Families from their bones using AmpFℓSTR Identifiler® Plus Kit

    Directory of Open Access Journals (Sweden)

    Muhamamd Shahzad

    2016-02-01

    Full Text Available Background: DNA profiling plays a vital role in the identification of dead bodies during mass disasters. Severe fragmentation, decomposition, burning and intermixing of the remains can occur in the mass disasters. DNA analysis faces many challenges especially when the dead bodies are completely decomposed or burnt. This report presents the identification of 32 completely burnt individuals including three families from their remains in a bus using AmpFlSTR Identifiler Plus® Kit and AmpFlSTR Y-filer® Kit. Methods: DNA was extracted from provided remains of burnt bodies and reference samples by organic extraction procedure. The extracted quantity of DNA was calculated on ABI SDS7500 real time PCR with Quantifiler® Human DNA Quantification Kit (Applied Biosystems. DNA samples of 32 completely burnt individuals including three families were amplified using AmpFlSTR Identifiler Plus® Kit and AmpFlSTR Y-filer® Kit. The genotyping of these amplified samples was performed on ABI 3130xl Genetic Analyzer. Results: The resulting data obtained from Genetic Analyzer was analyzed using GeneMapper ID software version 3.2 (Applied Biosystems. Seventeen burnt individuals including 3 burnt families were identified with the help of 16 autosomal STRs and 6 were identified through Y-STR analysis by allele sharing of their provided reference samples of parents and brothers respectively. Conclusion: For the identification of unknown individuals particularly burnt deceased victims, STR analysis has become the gold standard in forensic science. Successful DNA profiling through the amplification of STR markers of AmpFlSTR Identifiler Plus® Kit proved to be very helpful in identifying the remains of burnt individuals even in the presence of inhibition observed in the Real Time PCR.

  17. Identification of the pylorus from the intraluminal pH profile. Validation of the method by comparing it with transpyloric potential difference and pressure profile

    DEFF Research Database (Denmark)

    Rosenkilde-Gram, B; Højgaard, L; Kraglund, K

    1990-01-01

    In contrast to the steady low intragastric pH, the pH in the proximal duodenum shows wide, rapid, and frequent fluctuations. This change in pH pattern may be used to localize the pylorus and thereby ensure reproducible measurements of duodenal pH at a known and reproducible distance from...... the pylorus. To validate this method of localizing the pylorus, simultaneous measurements were performed of the transpyloric pH and potential difference (PD) profile and of the pH and pressure profile in 10 normal subjects. pH-metry and PD-metry localized the pylorus within the same 1.5 cm in 82% of 104 5-min...... periods, and pH-metry and manometry localized the pylorus within the same 5 cm in 72% of 77 10-min periods. This agreement and accuracy seem satisfactory for most studies of intraluminal pH in the duodenum and make reliable long-term ambulatory recording of duodenal pH possible without serial...

  18. Identifying Pre-High School Students' Science Class Motivation Profiles to Increase Their Science Identification and Persistence

    Science.gov (United States)

    Chittum, Jessica R.; Jones, Brett D.

    2017-01-01

    One purpose of this study was to determine whether patterns existed in pre-high school students' motivation-related perceptions of their science classes. Another purpose was to examine the extent to which these patterns were related to their science identification, gender, grade level, class effort, and intentions to persist in science. We…

  19. Identification of novel genomic markers related to progression to glioblastoma through genomic profiling of 25 primary glioma cell lines.

    NARCIS (Netherlands)

    Roversi, G.; Pfundt, R.; Moroni, R.F.; Magnani, I.; Reijmersdal, S.V. van; Pollo, B.; Straatman, H.M.P.M.; Larizza, L.; Schoenmakers, E.F.P.M.

    2006-01-01

    Identification of genetic copy number changes in glial tumors is of importance in the context of improved/refined diagnostic, prognostic procedures and therapeutic decision-making. In order to detect recurrent genomic copy number changes that might play a role in glioma pathogenesis and/or

  20. Characterization and Profiling of Liver microRNAs by RNA-sequencing in Cattle Divergently Selected for Residual Feed Intake

    Directory of Open Access Journals (Sweden)

    Wijdan Al-Husseini

    2016-10-01

    Full Text Available MicroRNAs (miRNAs are short non-coding RNAs that post-transcriptionally regulate expression of mRNAs in many biological pathways. Liver plays an important role in the feed efficiency of animals and high and low efficient cattle demonstrated different gene expression profiles by microarray. Here we report comprehensive miRNAs profiles by next-gen deep sequencing in Angus cattle divergently selected for residual feed intake (RFI and identify miRNAs related to feed efficiency in beef cattle. Two microRNA libraries were constructed from pooled RNA extracted from livers of low and high RFI cattle, and sequenced by Illumina genome analyser. In total, 23,628,103 high quality short sequence reads were obtained and more than half of these reads were matched to the bovine genome (UMD 3.1. We identified 305 known bovine miRNAs. Bta-miR-143, bta-miR-30, bta-miR-122, bta-miR-378, and bta-let-7 were the top five most abundant miRNAs families expressed in liver, representing more than 63% of expressed miRNAs. We also identified 52 homologous miRNAs and 10 novel putative bovine-specific miRNAs, based on precursor sequence and the secondary structure and utilizing the miRBase (v. 21. We compared the miRNAs profile between high and low RFI animals and ranked the most differentially expressed bovine known miRNAs. Bovine miR-143 was the most abundant miRNA in the bovine liver and comprised 20% of total expressed mapped miRNAs. The most highly expressed miRNA in liver of mice and humans, miR-122, was the third most abundant in our cattle liver samples. We also identified 10 putative novel bovine-specific miRNA candidates. Differentially expressed miRNAs between high and low RFI cattle were identified with 18 miRNAs being up-regulated and 7 other miRNAs down-regulated in low RFI cattle. Our study has identified comprehensive miRNAs expressed in bovine liver. Some of the expressed miRNAs are novel in cattle. The differentially expressed miRNAs between high and low RFI

  1. Comprehensive examination of conventional and innovative body fluid identification approaches and DNA profiling of laundered blood- and saliva-stained pieces of cloths.

    Science.gov (United States)

    Kulstein, G; Wiegand, P

    2018-01-01

    Body fluids like blood and saliva are commonly encountered during investigations of high volume crimes like homicides. The identification of the cellular origin and the composition of the trace can link suspects or victims to a certain crime scene and provide a probative value for criminal investigations. To erase all traces from the crime scene, perpetrators often wash away their traces. Characteristically, items that show exposed stains like blood are commonly cleaned or laundered to free them from potential visible leftovers. Mostly, investigators do not delegate the DNA analysis of laundered items. However, some studies have already revealed that items can still be used for DNA analysis even after they have been laundered. Nonetheless, a systematical evaluation of laundered blood and saliva traces that provides a comparison of different established and newly developed methods for body fluid identification (BFI) is still missing. Herein, we present the results of a comprehensive study of laundered blood- and saliva-stained pieces of cloths that were applied to a broad range of methods for BFI including conventional approaches as well as molecular mRNA profiling. The study included the evaluation of cellular origin as well as DNA profiling of blood- and saliva-stained (synthetic fiber and cotton) pieces of cloths, which have been washed at various washing temperatures for one or multiple times. Our experiments demonstrate that, while STR profiling seems to be sufficiently sensitive for the individualization of laundered items, there is a lack of approaches for BFI with the same sensitivity and specificity allowing to characterize the cellular origin of challenging, particularly laundered, blood and saliva samples.

  2. On Data Space Selection and Data Processing for Parameter Identification in a Reaction-Diffusion Model Based on FRAP Experiments

    Directory of Open Access Journals (Sweden)

    Stefan Kindermann

    2015-01-01

    Full Text Available Fluorescence recovery after photobleaching (FRAP is a widely used measurement technique to determine the mobility of fluorescent molecules within living cells. While the experimental setup and protocol for FRAP experiments are usually fixed, data (preprocessing represents an important issue. The aim of this paper is twofold. First, we formulate and solve the problem of relevant FRAP data selection. The theoretical findings are illustrated by the comparison of the results of parameter identification when the full data set was used and the case when the irrelevant data set (data with negligible impact on the confidence interval of the estimated parameters was removed from the data space. Second, we analyze and compare two approaches of FRAP data processing. Our proposition, surprisingly for the FRAP community, claims that the data set represented by the FRAP recovery curves in form of a time series (integrated data approach commonly used by the FRAP community leads to a larger confidence interval compared to the full (spatiotemporal data approach.

  3. A Method for Identification of Non-Coaxiality in Engine Shaft Lines of a Selected Type of Naval Ships

    Directory of Open Access Journals (Sweden)

    Grządziela Andrzej

    2015-01-01

    Full Text Available A correctly designed machine is characteristic of low vibration values. However wear processes occur during its operation. They are accompanied by a lack of balance of its rotating parts and elements, which results in non-coaxiality of shafts. For this reason energy and dynamic load resulting from machine vibrations grows. In this case cause and effect are mutually connected by feedback, that inevitably leads to occurrence of a failure. This paper presents results of investigations carried out on the basis of vibration analysis of propulsion systems installed on 207P minesweepers. In view of specific features of their operation it is very important to ensure high level of reliability for them. For this reason was done an attempt to develop a method intended for identifying non-coaxiality of shaft line systems of engines propelling the ships. 16 characteristic features of recorded vibration signals were selected. As any of them has not satisfied criteria assigned to features which unambiguously determine state of reliability of shaft line systems, the investigations have been continued and as a result a novel method for non-coaxiality identification was proposed. The method consists in determining unserviceability clusters and assumes that characteristic features are of a concentrated character. This way a non-coaxiality of main engine shaft lines of 207P minesweepers could be detected. This paper presents the proposed method and results of its application to the case in question.

  4. Using RICH Particle Identification in the LHCb High Level Trigger Selection of $B_s \\to D_s h$

    CERN Document Server

    Patel, M

    2006-01-01

    The use of RICH particle identification (PID) in the High Level Trigger (HLT) selection of $B_s \\to D_s h$, where $h = pi$ or $K$, has been explored. The online RICH PID is found to be a more efficient cut to reject minimum bias background events than others presently used. The application of RICH PID therefore allows other cuts to be relaxed and the trigger efficiency to be increased. In addition, the control of the background is sufficient to allow a small fraction of additional events to be triggered without requiring all the tracks be reconstructed right the way through the LHCb detector. A track segment is used to determine the direction of one of the particles in a candidate decay and then the $D_s$ mass is "forced" to determine the momentum of this segment. This allows the recovery of events lost owing to the tracking inefficiency in the HLT. The $D_s$ mass-forcing requires a number of cuts to be tightened in order to reduce the additional background generated by the loss of the $D_s$ mass constraint. ...

  5. A stochastic analysis approach on the cost-time profile for selecting the best future state MA

    Directory of Open Access Journals (Sweden)

    Seyedhosseini, Seyed Mohammad

    2015-05-01

    Full Text Available In the literature on value stream mapping (VSM, the only basis for choosing the best future state map (FSM among the proposed alternatives is the time factor. As a result, the FSM is selected as the best option because it has the least amount of total production lead time (TPLT. In this paper, the cost factor is considered in the FSM selection process, in addition to the time factor. Thus, for each of the proposed FSMs, the cost-time profile (CTP is used. Two factors that are of particular importance for the customer and the manufacturer – the TPLT and the direct cost of the product – are reviewed and analysed by calculating the sub-area of the CTP curve, called the cost-time investment (CTI. In addition, variability in the generated data has been studied in each of the CTPs in order to choose the best FSM more precisely and accurately. Based on a proposed step-by-step stochastic analysis method, and also by using non-parametric Kernel estimation methods for estimating the probability density function of CTIs, the process of choosing the best FSM has been carried out, based not only on the minimum expected CTI, but also on the minimum expected variability amount in CTIs among proposed alternatives. By implementing this method during the process of choosing the best FSM, the manufacturing organisations will consider both the cost factor and the variability in the generated data, in addition to the time factor. Accordingly, the decision-making process proceeds more easily and logically than do traditional methods. Finally, to describe the effectiveness and applicability of the proposed method in this paper, it is applied to a case study on an industrial parts manufacturing company in Iran.

  6. Modification of Sunlight Radiation through Colored Photo-Selective Nets Affects Anthocyanin Profile in Vaccinium spp. Berries.

    Directory of Open Access Journals (Sweden)

    Laura Zoratti

    Full Text Available In recent years, the interest on the effects of the specific wavelengths of the light spectrum on growth and metabolism of plants has been increasing markedly. The present study covers the effect of modified sunlight conditions on the accumulation of anthocyanin pigments in two Vaccinium species: the European wild bilberry (V. myrtillus L. and the cultivated highbush blueberry (V. corymbosum L..The two Vaccinium species were grown in the same test field in the Alps of Trentino (Northern Italy under modified light environment. The modification of sunlight radiation was carried out in field, through the use of colored photo-selective nets throughout the berry ripening during two consecutive growing seasons. The anthocyanin profile was then assessed in berries at ripeness.The results indicated that the light responses of the two Vaccinium species studied were different. Although both studied species are shade-adapted plants, 90% shading of sunlight radiation was beneficial only for bilberry plants, which accumulated the highest content of anthocyanins in both seasons. The same condition, instead, was not favorable for blueberries, whose maturation was delayed for at least two weeks, and anthocyanin accumulation was significantly decreased compared to berries grown under sunlight conditions. Moreover, the growing season had strong influence on the anthocyanin accumulation in both species, in relation to temperature flow and sunlight spectra composition during the berry ripening period.Our results suggest that the use of colored photo-selective nets may be a complementary agricultural practice for cultivation of Vaccinium species. However, further studies are needed to analyze the effect of the light spectra modifications to other nutritional properties, and to elucidate the molecular mechanisms behind the detected differences between the two relative Vaccinium species.

  7. Modification of Sunlight Radiation through Colored Photo-Selective Nets Affects Anthocyanin Profile in Vaccinium spp. Berries.

    Science.gov (United States)

    Zoratti, Laura; Jaakola, Laura; Häggman, Hely; Giongo, Lara

    2015-01-01

    In recent years, the interest on the effects of the specific wavelengths of the light spectrum on growth and metabolism of plants has been increasing markedly. The present study covers the effect of modified sunlight conditions on the accumulation of anthocyanin pigments in two Vaccinium species: the European wild bilberry (V. myrtillus L.) and the cultivated highbush blueberry (V. corymbosum L.). The two Vaccinium species were grown in the same test field in the Alps of Trentino (Northern Italy) under modified light environment. The modification of sunlight radiation was carried out in field, through the use of colored photo-selective nets throughout the berry ripening during two consecutive growing seasons. The anthocyanin profile was then assessed in berries at ripeness. The results indicated that the light responses of the two Vaccinium species studied were different. Although both studied species are shade-adapted plants, 90% shading of sunlight radiation was beneficial only for bilberry plants, which accumulated the highest content of anthocyanins in both seasons. The same condition, instead, was not favorable for blueberries, whose maturation was delayed for at least two weeks, and anthocyanin accumulation was significantly decreased compared to berries grown under sunlight conditions. Moreover, the growing season had strong influence on the anthocyanin accumulation in both species, in relation to temperature flow and sunlight spectra composition during the berry ripening period. Our results suggest that the use of colored photo-selective nets may be a complementary agricultural practice for cultivation of Vaccinium species. However, further studies are needed to analyze the effect of the light spectra modifications to other nutritional properties, and to elucidate the molecular mechanisms behind the detected differences between the two relative Vaccinium species.

  8. Fermentation Characteristics and Aromatic Profile of Plum Wines Produced with Indigenous Microbiota and Pure Cultures of Selected Yeast.

    Science.gov (United States)

    Miljić, Uroš; Puškaš, Vladimir; Vučurović, Vesna; Muzalevski, Ana

    2017-06-01

    The aim of this study was to assess and compare fermentation characteristics and aromatic profile of plum wines produced with indigenous microbiota and pure cultures of different selected yeast. Experiments were carried out with plum (Prunus domestica L.) varieties of different fruit ripening times (Čačanska rana, Čačanska lepotica, and Požegača). Wine fermentations were conducted by the activity of indigenous microbiota, commercially available Saccharomyces cerevisiae and Saccharomyces bayanus yeast strains and joint activity of Schizosaccharomyces pombe and S. cerevisiae (sequential inoculation). Statistically significant differences in fermentative characteristics and the content of certain volatile compounds were observed as a result of metabolic activity of various indigenous and/or selected yeasts during fermentation of plum pomace. Minimal duration of fermentation (4 to 5 d) and fastest ethanol production rate (from 12.3 to 15.5 g/L/d) were the characteristics of the studied S. cerevisiae strains. Isobutanol, 3-methyl-1-butanol, 1-heptanol, and 1-octanol were the most prevalent higher alcohols in the tested plum wine samples. The predominant ester in plum wines was ethyl acetate, ethyl lactate, amyl acetate, isoamyl acetate, and ethyl palmitate, esters responsible for the floral and fruity olfactory tones, were also present in large amounts. Also, the use of S. cerevisiae strains resulted in the production of plum wines with better sensory characteristics than ones produced with other investigated yeasts. Obtained results are significant since there is limited data on the compounds responsible for the unique flavor of plum wine, as well as on the impact of different yeast starter cultures application on the overall quality of fruit wines. © 2017 Institute of Food Technologists®.

  9. Modification of Sunlight Radiation through Colored Photo-Selective Nets Affects Anthocyanin Profile in Vaccinium spp. Berries

    Science.gov (United States)

    Zoratti, Laura; Jaakola, Laura; Häggman, Hely; Giongo, Lara

    2015-01-01

    Objectives In recent years, the interest on the effects of the specific wavelengths of the light spectrum on growth and metabolism of plants has been increasing markedly. The present study covers the effect of modified sunlight conditions on the accumulation of anthocyanin pigments in two Vaccinium species: the European wild bilberry (V. myrtillus L.) and the cultivated highbush blueberry (V. corymbosum L.). Methods The two Vaccinium species were grown in the same test field in the Alps of Trentino (Northern Italy) under modified light environment. The modification of sunlight radiation was carried out in field, through the use of colored photo-selective nets throughout the berry ripening during two consecutive growing seasons. The anthocyanin profile was then assessed in berries at ripeness. Results The results indicated that the light responses of the two Vaccinium species studied were different. Although both studied species are shade-adapted plants, 90% shading of sunlight radiation was beneficial only for bilberry plants, which accumulated the highest content of anthocyanins in both seasons. The same condition, instead, was not favorable for blueberries, whose maturation was delayed for at least two weeks, and anthocyanin accumulation was significantly decreased compared to berries grown under sunlight conditions. Moreover, the growing season had strong influence on the anthocyanin accumulation in both species, in relation to temperature flow and sunlight spectra composition during the berry ripening period. Conclusions Our results suggest that the use of colored photo-selective nets may be a complementary agricultural practice for cultivation of Vaccinium species. However, further studies are needed to analyze the effect of the light spectra modifications to other nutritional properties, and to elucidate the molecular mechanisms behind the detected differences between the two relative Vaccinium species. PMID:26288240

  10. Identification of novel candidate target genes in amplicons of Glioblastoma multiforme tumors detected by expression and CGH microarray profiling

    OpenAIRE

    Hernández-Moneo Jose-Luis; de Lope Angel; Gómez Elena; Camacho Francisca I; Fiaño Concepción; Ribalta Teresa; Mollejo Manuela; Ruano Yolanda; Martínez Pedro; Meléndez Bárbara

    2006-01-01

    Abstract Background Conventional cytogenetic and comparative genomic hybridization (CGH) studies in brain malignancies have shown that glioblastoma multiforme (GBM) is characterized by complex structural and numerical alterations. However, the limited resolution of these techniques has precluded the precise identification of detailed specific gene copy number alterations. Results We performed a genome-wide survey of gene copy number changes in 20 primary GBMs by CGH on cDNA microarrays. A nov...

  11. Earliest effects of sudden occlusions on pressure profiles in selected locations of the human systemic arterial system

    Science.gov (United States)

    Majka, Marcin; Gadda, Giacomo; Taibi, Angelo; Gałązka, Mirosław; Zieliński, Piotr

    2017-03-01

    We have developed a numerical simulation method for predicting the time dependence (wave form) of pressure at any location in the systemic arterial system in humans. The method uses the matlab-Simulink environment. The input data include explicitly the geometry of the arterial tree, treated up to an arbitrary bifurcation level, and the elastic properties of arteries as well as rheological parameters of blood. Thus, the impact of anatomic details of an individual subject can be studied. The method is applied here to reveal the earliest stages of mechanical reaction of the pressure profiles to sudden local blockages (thromboses or embolisms) of selected arteries. The results obtained with a purely passive model provide reference data indispensable for studies of longer-term effects due to neural and humoral mechanisms. The reliability of the results has been checked by comparison of two available sets of anatomic, elastic, and rheological data involving (i) 55 and (ii) 138 arterial segments. The remaining arteries have been replaced with the appropriate resistive elements. Both models are efficient in predicting an overall shift of pressure, whereas the accuracy of the 55-segment model in reproducing the detailed wave forms and stabilization times turns out dependent on the location of the blockage and the observation point.

  12. Chemical Profiling and Evaluation of Antioxidant and Anti-Microbial Properties of Selected Commercial Essential Oils: A Comparative Study

    Science.gov (United States)

    Luís, Ângelo; Duarte, Ana Paula; Pereira, Luísa; Domingues, Fernanda

    2017-01-01

    Background: The last decades have seen an increased awareness by the scientific community of the extent of resistance to conventional antibiotics, particularly with respect to the emerging multidrug-resistant pathogenic microbes. Additionally, natural antioxidants have received significant attention among food professionals and consumers because of their assumed safety and potential therapeutic value. The aim of this work was to assess the antioxidant activities of eight selected commercial essential oils (EOs), together with the evaluation of their antibacterial and anti-quorum sensing properties. Methods: The chemical profiling of the EOs was performed using gas chromatography-mass spectrometry (GC-MS) analysis. The antioxidant properties of the EOs were evaluated using the 2,2-diphenyl-1-picrylhydrazyl (DPPH) free radical scavenging assay and by β-carotene bleaching test. Disc diffusion assays were employed to evaluate the anti-bacterial and anti-quorum sensing activities of the EOs. Results: It was observed that EOs from three Eucalyptus species are rich in eucalyptol. Generally, linalool is abundant in EOs from four Lavandula species. The oil of Cymbopogon citratus is the one with the best capacity to scavenge the DPPH free radicals and presented great antibacterial activity. Conclusions: The geographical origins of the plant species are determinant factors in the EO composition and in the corresponding biological activities. PMID:28930251

  13. Chemical Profiling and Evaluation of Antioxidant and Anti-Microbial Properties of Selected Commercial Essential Oils: A Comparative Study

    Directory of Open Access Journals (Sweden)

    Ângelo Luís

    2017-06-01

    Full Text Available Background: The last decades have seen an increased awareness by the scientific community of the extent of resistance to conventional antibiotics, particularly with respect to the emerging multidrug-resistant pathogenic microbes. Additionally, natural antioxidants have received significant attention among food professionals and consumers because of their assumed safety and potential therapeutic value. The aim of this work was to assess the antioxidant activities of eight selected commercial essential oils (EOs, together with the evaluation of their antibacterial and anti-quorum sensing properties. Methods: The chemical profiling of the EOs was performed using gas chromatography-mass spectrometry (GC-MS analysis. The antioxidant properties of the EOs were evaluated using the 2,2-diphenyl-1-picrylhydrazyl (DPPH free radical scavenging assay and by β-carotene bleaching test. Disc diffusion assays were employed to evaluate the anti-bacterial and anti-quorum sensing activities of the EOs. Results: It was observed that EOs from three Eucalyptus species are rich in eucalyptol. Generally, linalool is abundant in EOs from four Lavandula species. The oil of Cymbopogon citratus is the one with the best capacity to scavenge the DPPH free radicals and presented great antibacterial activity. Conclusions: The geographical origins of the plant species are determinant factors in the EO composition and in the corresponding biological activities.

  14. Profiling of the secreted proteins during 3T3-L1 adipocyte differentiation leads to the identification of novel adipokines

    NARCIS (Netherlands)

    Wang, P.; Mariman, E.; Keijer, J.; Noben, J.P.; Robben, J.; Renes, J.

    2004-01-01

    Adipose tissue is an endocrine organ capable of secreting a number of adipokines with a role in the regulation of adipose tissue and whole-body metabolism. We used two-dimensional gel electrophoresis combined with mass spectrometry to profile the secreted proteins from (pre)adipocytes. The culture

  15. Comparative gut microbiota and resistome profiling of intensive care patients receiving selective digestive tract decontamination and healthy subjects.

    Science.gov (United States)

    Buelow, Elena; Bello González, Teresita D J; Fuentes, Susana; de Steenhuijsen Piters, Wouter A A; Lahti, Leo; Bayjanov, Jumamurat R; Majoor, Eline A M; Braat, Johanna C; van Mourik, Maaike S M; Oostdijk, Evelien A N; Willems, Rob J L; Bonten, Marc J M; van Passel, Mark W J; Smidt, Hauke; van Schaik, Willem

    2017-08-14

    The gut microbiota is a reservoir of opportunistic pathogens that can cause life-threatening infections in critically ill patients during their stay in an intensive care unit (ICU). To suppress gut colonization with opportunistic pathogens, a prophylactic antibiotic regimen, termed "selective decontamination of the digestive tract" (SDD), is used in some countries where it improves clinical outcome in ICU patients. Yet, the impact of ICU hospitalization and SDD on the gut microbiota remains largely unknown. Here, we characterize the composition of the gut microbiota and its antimicrobial resistance genes ("the resistome") of ICU patients during SDD and of healthy subjects. From ten patients that were acutely admitted to the ICU, 30 fecal samples were collected during ICU stay. Additionally, feces were collected from five of these patients after transfer to a medium-care ward and cessation of SDD. Feces from ten healthy subjects were collected twice, with a 1-year interval. Gut microbiota and resistome composition were determined using 16S rRNA gene phylogenetic profiling and nanolitre-scale quantitative PCRs. The microbiota of the ICU patients differed from the microbiota of healthy subjects and was characterized by lower microbial diversity, decreased levels of Escherichia coli and of anaerobic Gram-positive, butyrate-producing bacteria of the Clostridium clusters IV and XIVa, and an increased abundance of Bacteroidetes and enterococci. Four resistance genes (aac(6')-Ii, ermC, qacA, tetQ), providing resistance to aminoglycosides, macrolides, disinfectants, and tetracyclines, respectively, were significantly more abundant among ICU patients than in healthy subjects, while a chloramphenicol resistance gene (catA) and a tetracycline resistance gene (tetW) were more abundant in healthy subjects. The gut microbiota of SDD-treated ICU patients deviated strongly from the gut microbiota of healthy subjects. The negative effects on the resistome were limited to selection

  16. Profiling cancer

    DEFF Research Database (Denmark)

    Ciro, Marco; Bracken, Adrian P; Helin, Kristian

    2003-01-01

    In the past couple of years, several very exciting studies have demonstrated the enormous power of gene-expression profiling for cancer classification and prediction of patient survival. In addition to promising a more accurate classification of cancer and therefore better treatment of patients......, gene-expression profiling can result in the identification of novel potential targets for cancer therapy and a better understanding of the molecular mechanisms leading to cancer....

  17. Identification of an anabolic selective androgen receptor modulator that actively induces death of androgen-independent prostate cancer cells.

    Science.gov (United States)

    Schmidt, Azriel; Meissner, Robert S; Gentile, Michael A; Chisamore, Michael J; Opas, Evan E; Scafonas, Angela; Cusick, Tara E; Gambone, Carlo; Pennypacker, Brenda; Hodor, Paul; Perkins, James J; Bai, Chang; Ferraro, Damien; Bettoun, David J; Wilkinson, Hilary A; Alves, Stephen E; Flores, Osvaldo; Ray, William J

    2014-09-01

    Prostate cancer (PCa) initially responds to inhibition of androgen receptor (AR) signaling, but inevitably progresses to hormone ablation-resistant disease. Much effort is focused on optimizing this androgen deprivation strategy by improving hormone depletion and AR antagonism. However we found that bicalutamide, a clinically used antiandrogen, actually resembles a selective AR modulator (SARM), as it partially regulates 24% of endogenously 5α-dihydrotestosterone (DHT)-responsive genes in AR(+) MDA-MB-453 breast cancer cells. These data suggested that passive blocking of all AR functions is not required for PCa therapy. Hence, we adopted an active strategy that calls for the development of novel SARMs, which induce a unique gene expression profile that is intolerable to PCa cells. Therefore, we screened 3000 SARMs for the ability to arrest the androgen-independent growth of AR(+) 22Rv1 and LNCaP PCa cells but not AR(-) PC3 or DU145 cells. We identified only one such compound; the 4-aza-steroid, MK-4541, a potent and selective SARM. MK-4541 induces caspase-3 activity and cell death in both androgen-independent, AR(+) PCa cell lines but spares AR(-) cells or AR(+) non-PCa cells. This activity correlates with its promoter context- and cell-type dependent transcriptional effects. In rats, MK-4541 inhibits the trophic effects of DHT on the prostate, but not the levator ani muscle, and triggers an anabolic response in the periosteal compartment of bone. Therefore, MK-4541 has the potential to effectively manage prostatic hypertrophic diseases owing to its antitumor SARM-like mechanism, while simultaneously maintaining the anabolic benefits of natural androgens. Copyright © 2014 Elsevier Ltd. All rights reserved.

  18. Identification and validation of selected universal stress protein domain containing drought-responsive genes in pigeonpea (Cajanus cajan L.

    Directory of Open Access Journals (Sweden)

    Pallavi eSinha

    2016-01-01

    Full Text Available Pigeonpea is a resilient crop, which is relatively more drought tolerant than many other legume crops. To understand the molecular mechanisms of this unique feature of pigeonpea, 51 genes were selected using the Hidden Markov Models those codes for proteins having close similarity to universal stress protein domain. Validation of these genes was conducted on three pigeonpea genotypes (ICPL 151, ICPL 8755 and ICPL 227 having different levels of drought tolerance. Gene expression analysis using qRT-PCR revealed 6, 8 and 18 genes to be ≥2 fold differentially expressed in ICPL 151, ICPL 8755 and ICPL 227, respectively. A total of 10 differentially expressed genes showed ≥2 fold up-regulation in the more drought tolerant genotype. Of these, four genes each encoded proteins for plant U-box and universal stress protein A- (uspA like, while one gene encoded for cation/H(+ antiporter protein and one uncharacterized protein. Genes C.cajan_29830 and C.cajan_33874 belonging to uspA, were found significantly expressed in all the three genotypes with ≥2 fold expression variations. Expression profiling of these two genes on the four other legume crops revealed their specific role in pigeonpea. Therefore, these genes seem to be promising candidates for conferring drought tolerance specifically to pigeonpea.

  19. Classifications within molecular subtypes enables identification of BRCA1/BRCA2 mutation carriers by RNA tumor profiling

    DEFF Research Database (Denmark)

    Larsen, Martin J; Kruse, Torben A; Tan, Qihua

    2013-01-01

    Pathogenic germline mutations in BRCA1 or BRCA2 are detected in less than one third of families with a strong history of breast cancer. It is therefore expected that mutations still remain undetected by currently used screening methods. In addition, a growing number of BRCA1/2 sequence variants...... of unclear pathogen significance are found in the families, constituting an increasing clinical challenge. New methods are therefore needed to improve the detection rate and aid the interpretation of the clinically uncertain variants. In this study we analyzed a series of 33 BRCA1, 22 BRCA2, and 128 sporadic...... tumors by RNA profiling to investigate the classification potential of RNA profiles to predict BRCA1/2 mutation status. We found that breast tumors from BRCA1 and BRCA2 mutation carriers display characteristic RNA expression patterns, allowing them to be distinguished from sporadic tumors. The majority...

  20. Rapid identification of a Mycobacterium tuberculosis full genetic drug resistance profile through whole genome sequencing directly from sputum

    Directory of Open Access Journals (Sweden)

    Camus Nimmo

    2017-09-01

    Discussion: Compared to rapid molecular tests (which can only examine a limited number of mutations and WGS of culture isolates (which requires a culture step, WGS directly from sputum can quickly generate a complete genetic drug resistance profile. In this case, WGS altered the clinical management of drug-resistant tuberculosis and demonstrated potential for guiding individualized drug treatment where second-line drug resistance is common.

  1. Identification to the species level of Lactobacillus isolated in probiotic prospecting studies of human, animal or food origin by 16S-23S rRNA restriction profiling

    Directory of Open Access Journals (Sweden)

    Neumann Elisabeth

    2005-03-01

    Full Text Available Abstract Background The accurate identification of Lactobacillus and other co-isolated bacteria during microbial ecological studies of ecosystems such as the human or animal intestinal tracts and food products is a hard task by phenotypic methods requiring additional tests such as protein and/or lipids profiling. Results Bacteria isolated in different probiotic prospecting studies, using de Man, Rogosa and Sharpe medium (MRS, were typed at species level by PCR amplification of 16S-23S rRNA intergenic spacers using universal primers that anneal within 16S and 23S genes, followed by restriction digestion analyses of PCR products. The set of enzymes chosen differentiates most species of Lactobacillus genus and also co-isolated bacteria such as Enterococcus, Streptococcus, Weissella, Staphylococcus, and Escherichia species. The in silico predictions of restriction patterns generated by the Lactobacillus shorter spacers digested with 11 restriction enzymes with 6 bp specificities allowed us to distinguish almost all isolates at the species level but not at the subspecies one. Simultaneous theoretical digestions of the three spacers (long, medium and short with the same set of enzymes provided more complex patterns and allowed us to distinguish the species without purifying and cloning of PCR products. Conclusion Lactobacillus isolates and several other strains of bacteria co-isolated on MRS medium from gastrointestinal ecosystem and fermented food products could be identified using DNA fingerprints generated by restriction endonucleases. The methodology based on amplified ribosomal DNA restriction analysis (ARDRA is easier, faster and more accurate than the current methodologies based on fermentation profiles, used in most laboratories for the purpose of identification of these bacteria in different prospecting studies.

  2. Vertical profiles of selected mean and turbulent characteristics of the boundary layer within and above a large banana screenhouse

    Science.gov (United States)

    Tanny, Josef; Lukyanov, Victor; Neiman, Michael; Cohen, Shabtai; Teitel, Meir

    2017-04-01

    The area of agricultural crops covered by screens is constantly increasing worldwide. While irrigation requirements for open canopies are well documented, corresponding information for covered crops is scarce. Therefore much effort in recent years has focused on measuring and modeling evapotranspiration of screen-covered crops. One model that can be utilized for such estimations is the mixing length model. As a first step towards future application of this model, selected mean and turbulent properties of the boundary layer above and below a shading screen were measured and analyzed. Experiments were carried out in a large banana plantation, covered by a light-weight horizontal shading screen deployed 5.5 m high. During the measurement period, plant height increased from 2.5 to 4.1 m. A 3D ultrasonic anemometer and temperature and humidity sensors were mounted on a lifting tower with a manual crank that could measure between 2.8 and 10.2 m height, i.e., both below and above the screen. In each profile, the sensors measured at different heights during consecutive time intervals of about 15 min each. Vertical profiles were measured around noon when external meteorological conditions were relatively stable. An additional stationary tower installed within the screenhouse about 20 m to the north of the lifting tower, continuously measured corresponding reference values at 4.5 m height. Footprint analysis shows that out of the 62 measured time intervals, only in 4 cases the 90% flux contribution originated from outside the screenhouse. Both horizontal air velocity, Uh, and normalized horizontal air velocity increased with height. Air temperature generally decreased with height, indicating that the boundary layer was statically unstable. Specific humidity decreased with height, as is typical for a well irrigated crop. Friction velocity, u∗, was higher above than below the screen, illustrating the role of the screen as a momentum sink. The mean ratio between friction

  3. Screening and identification of phytotoxic volatile compounds in medicinal plants and characterizations of a selected compound, eucarvone.

    Science.gov (United States)

    Sunohara, Yukari; Baba, Yohei; Matsuyama, Shigeru; Fujimura, Kaori; Matsumoto, Hiroshi

    2015-07-01

    Screening and identification of phytotoxic volatile compounds were performed using 71 medicinal plant species to find new natural compounds, and the characterization of the promising compound was investigated to understand the mode of action. The volatile compounds from Asarum sieboldii Miq. showed the strongest inhibitory effect on the hypocotyl growth of lettuce seedlings (Lactuca sativa L.cv. Great Lakes 366), followed by those from Schizonepeta tenuifolia Briquet and Zanthoxylum piperitum (L.) DC.. Gas chromatography-mass spectrometry (GC/MS) identified four volatile compounds, α-pinene (2,6,6-trimethylbicyclo[3.1.1]hept-2-ene), β-pinene (6,6-dimethyl-2-methylenebicyclo[3.1.1]heptane), 3-carene (3,7,7-trimethylbicyclo[4.1.0]hept-3-ene), and eucarvone (2,6,6-trimethy-2,4-cycloheptadien-1-one), from A. sieboldii, and three volatile compounds, limonene (1-methyl-4-(1-methylethenyl)-cyclohexene), menthone (5-methyl-2-(propan-2-yl)cyclohexan-1-one), and pulegone (5-methyl-2-propan-2-ylidenecyclohexan-1-one), from S. tenuifolia. Among these volatile compounds, eucarvone, menthone, and pulegone exhibited strong inhibitory effects on both the root and shoot growth of lettuce seedlings. Eucarvone-induced growth inhibition was species-selective. Cell death, the generation of reactive oxygen species (ROS), and lipid peroxidation were induced in susceptible finger millet seedlings by eucarvone treatment, whereas this compound (≤158 μM) did not cause the increase of lipid peroxidation and ROS production in tolerant maize. The results of the present study show that eucarvone can have strong phytotoxic activity, which may be due to ROS overproduction and subsequent oxidative damage in finger millet seedlings.

  4. Single-cell pH imaging and detection for pH profiling and label-free rapid identification of cancer-cells.

    Science.gov (United States)

    Hou, Hui; Zhao, Yangyang; Li, Chuanping; Wang, Minmin; Xu, Xiaolong; Jin, Yongdong

    2017-05-11

    Single-cell pH-sensing and accurate detection and label-free fast identification of cancer-cells are two long-standing pursuits in cell and life science, as intracellular pH plays a crucial role in many cellular events and fates, while the latter is vital for early cancer theranostics. Numerous methods based on functionalized nanoparticles and fluorescence probes have been developed for cell pH-sensing, but are often hindered for single-cell studies by their main drawbacks of complicated probe preparation and labeling, low sensitivity and poor reproducibility. Here we report a simple and reliable method for single-cell pH imaging and sensing by innovative combined use of UV-Vis microspectroscopy and common pH indicators. Accurate and sensitive pH detection on single-cell or sub-cell level with good reproducibility is achieved by the method, which enables facile single-cell pH profiling and label-free rapid identification of cancer-cells (due to distinguishable intracellular pH levels) for early cancer diagnosis, and may open a new avenue for pH-related single-cell studies.

  5. Peptide Profiling Using Matrix-Assisted Laser Desorption/Ionization-Time-of-Flight Mass Spectrometry for Identification of Animal Fibers.

    Science.gov (United States)

    Izuchi, Yukari; Tokuhara, Mutsumi; Takashima, Tsuneo; Kuramoto, Kanya

    2013-01-01

    Identification of fibers for verification of their specific animal origin is necessary for maintaining quality and value in the clothing industry. In order to examine adulteration in animal fibers, there is a commercially accepted method of microscopy analysis. However, this method is subjective and time-consuming due to its reliance on an operator identifying magnified fibers from their scale image and other features. Therefore, alternative reliable identification methods are required. In this study, peptide analysis using matrix-assisted laser desorption/ionization-time-of-flight mass spectrometry (MALDI-TOFMS) is presented and used to distinguish between cashmere, wool, mohair, yak, camel, angora, and alpaca in untreated and treated fibers (dyed, chlorinated wool). Typical m/z values for each specific type of animal fiber were identified. Predictive models that could identify seven types of animal fibers as well as 50% blended samples were successfully constructed using multivariate analyses such as PCA and PLS regression. This technique is therefore extremely useful for complementing the conventional tests for detecting adulteration in animal fiber fabrics and clothing.

  6. Development of a 3D Tissue Culture-Based High-Content Screening Platform That Uses Phenotypic Profiling to Discriminate Selective Inhibitors of Receptor Tyrosine Kinases.

    Science.gov (United States)

    Booij, Tijmen H; Klop, Maarten J D; Yan, Kuan; Szántai-Kis, Csaba; Szokol, Balint; Orfi, Laszlo; van de Water, Bob; Keri, Gyorgy; Price, Leo S

    2016-10-01

    3D tissue cultures provide a more physiologically relevant context for the screening of compounds, compared with 2D cell cultures. Cells cultured in 3D hydrogels also show complex phenotypes, increasing the scope for phenotypic profiling. Here we describe a high-content screening platform that uses invasive human prostate cancer cells cultured in 3D in standard 384-well assay plates to study the activity of potential therapeutic small molecules and antibody biologics. Image analysis tools were developed to process 3D image data to measure over 800 phenotypic parameters. Multiparametric analysis was used to evaluate the effect of compounds on tissue morphology. We applied this screening platform to measure the activity and selectivity of inhibitors of the c-Met and epidermal growth factor (EGF) receptor (EGFR) tyrosine kinases in 3D cultured prostate carcinoma cells. c-Met and EGFR activity was quantified based on the phenotypic profiles induced by their respective ligands, hepatocyte growth factor and EGF. The screening method was applied to a novel collection of 80 putative inhibitors of c-Met and EGFR. Compounds were identified that induced phenotypic profiles indicative of selective inhibition of c-Met, EGFR, or bispecific inhibition of both targets. In conclusion, we describe a fully scalable high-content screening platform that uses phenotypic profiling to discriminate selective and nonselective (off-target) inhibitors in a physiologically relevant 3D cell culture setting. © 2016 Society for Laboratory Automation and Screening.

  7. Identification and profiling of conserved and novel microRNAs in Laodelphax striatellus in response to rice black-streaked dwarf virus (RBSDV infection

    Directory of Open Access Journals (Sweden)

    Jun-Min Li

    2015-03-01

    Full Text Available MicroRNAs (miRNAs are small non-coding endogenous RNA molecules that play important roles in various biological processes. This study examined microRNA profiles of Laodelphax striatellus using the small RNA libraries derived from virus free (VF and rice black-streaked dwarf virus (RBSDV infected (RB insects. A total of 59 mature miRNAs (46 miRNA families were identified as conserved insect miRNAs in both VF and RB libraries. Among these conserved miRNAs, 24 were derived from the two arms of 12 miRNA precursors. Nine conserved L. striatellus miRNAs were up-regulated and 12 were down-regulated in response to RBSDV infection. In addition, a total of 20 potential novel miRNA candidates were predicted in the VF and RB libraries. The miRNA transcriptome profiles and the identification of L. striatellus miRNAs differentially expressed in response to RBSDV infection will contribute to future studies to elucidate the complex miRNA-mediated regulatory network activated by pathogen challenge in insect vectors.

  8. Identification of a characteristic copy number alteration profile by high-resolution single nucleotide polymorphism arrays associated with metastatic sporadic colorectal cancer.

    Science.gov (United States)

    González-González, María; Fontanillo, Celia; Abad, María M; Gutiérrez, María L; Mota, Ines; Bengoechea, Oscar; Santos-Briz, Ángel; Blanco, Oscar; Fonseca, Emilio; Ciudad, Juana; Fuentes, Manuel; De Las Rivas, Javier; Alcazar, José A; García, Jacinto; Muñoz-Bellvis, Luís; Orfao, Alberto; Sayagués, José M

    2014-07-01

    Metastatic dissemination is the most frequent cause of death in patients with sporadic colorectal cancer (sCRC). It is believed that the metastatic process is related at least in part to a specific background of genetic alterations accumulated in cells from primary tumors, and the ability to detect such alterations is critical for the identification of patients with sCRC who are at risk of developing metastases. The authors used high-resolution, 500-K single nucleotide polymorphism arrays to identify copy number alteration profiles present at diagnosis in primary tumors from patients with metastatic (n = 23) versus nonmetastatic (n = 26) sCRC. The results revealed a characteristic pattern of copy number alterations in metastatic sCRC tumors that involved losses of 23 regions at chromosomes 1p, 17p, and 18q, together with gains of 35 regions at chromosomes 7 and 13q. In line with expectations, the copy number profile investigated involved multiple genes that were associated previously with sCRC (ie, SMAD2) and/or the metastatic process (ie, podocalyxin-like [PODXL]), and it also was associated with a poorer outcome. © 2014 American Cancer Society.

  9. Identification and in Vivo Evaluation of Liver X Receptor β-Selective Agonists for the Potential Treatment of Alzheimer’s Disease

    Energy Technology Data Exchange (ETDEWEB)

    Stachel, Shawn J.; Zerbinatti, Celina; Rudd, Michael T.; Cosden, Mali; Suon, Sokreine; Nanda, Kausik K.; Wessner, Keith; DiMuzio, Jillian; Maxwell, Jill; Wu, Zhenhua; Uslaner, Jason M.; Michener, Maria S.; Szczerba, Peter; Brnardic, Edward; Rada, Vanessa; Kim, Yuntae; Meissner, Robert; Wuelfing, Peter; Yuan, Yang; Ballard, Jeanine; Holahan, Marie; Klein, Daniel J.; Lu, Jun; Fradera, Xavier; Parthasarathy, Gopal; Uebele, Victor N.; Chen, Zhongguo; Li, Yingjie; Li, Jian; Cooke, Andrew J.; Bennett, D. Jonathan; Bilodeau, Mark T.; Renger, John (Merck); (WuXi App Tec)

    2016-04-14

    Herein, we describe the development of a functionally selective liver X receptor β (LXRβ) agonist series optimized for Emax selectivity, solubility, and physical properties to allow efficacy and safety studies in vivo. Compound 9 showed central pharmacodynamic effects in rodent models, evidenced by statistically significant increases in apolipoprotein E (apoE) and ATP-binding cassette transporter levels in the brain, along with a greatly improved peripheral lipid safety profile when compared to those of full dual agonists. These findings were replicated by subchronic dosing studies in non-human primates, where cerebrospinal fluid levels of apoE and amyloid-β peptides were increased concomitantly with an improved peripheral lipid profile relative to that of nonselective compounds. These results suggest that optimization of LXR agonists for Emax selectivity may have the potential to circumvent the adverse lipid-related effects of hepatic LXR activity.

  10. Improvement in Protein Domain Identification Is Reached by Breaking Consensus, with the Agreement of Many Profiles and Domain Co-occurrence.

    Directory of Open Access Journals (Sweden)

    Juliana Bernardes

    2016-07-01

    Full Text Available Traditional protein annotation methods describe known domains with probabilistic models representing consensus among homologous domain sequences. However, when relevant signals become too weak to be identified by a global consensus, attempts for annotation fail. Here we address the fundamental question of domain identification for highly divergent proteins. By using high performance computing, we demonstrate that the limits of state-of-the-art annotation methods can be bypassed. We design a new strategy based on the observation that many structural and functional protein constraints are not globally conserved through all species but might be locally conserved in separate clades. We propose a novel exploitation of the large amount of data available: 1. for each known protein domain, several probabilistic clade-centered models are constructed from a large and differentiated panel of homologous sequences, 2. a decision-making protocol combines outcomes obtained from multiple models, 3. a multi-criteria optimization algorithm finds the most likely protein architecture. The method is evaluated for domain and architecture prediction over several datasets and statistical testing hypotheses. Its performance is compared against HMMScan and HHblits, two widely used search methods based on sequence-profile and profile-profile comparison. Due to their closeness to actual protein sequences, clade-centered models are shown to be more specific and functionally predictive than the broadly used consensus models. Based on them, we improved annotation of Plasmodium falciparum protein sequences on a scale not previously possible. We successfully predict at least one domain for 72% of P. falciparum proteins against 63% achieved previously, corresponding to 30% of improvement over the total number of Pfam domain predictions on the whole genome. The method is applicable to any genome and opens new avenues to tackle evolutionary questions such as the reconstruction of

  11. Identification of Plasma Metabolomic Profiling for Diagnosis of Esophageal Squamous-Cell Carcinoma Using an UPLC/TOF/MS Platform

    Directory of Open Access Journals (Sweden)

    Lihong Yin

    2013-04-01

    Full Text Available Epidemiological studies indicated that esophageal squamous-cell carcinoma (ESCC is still one of the most common causes of cancer incidence in the world. Searching for valuable markers including circulating endogenous metabolites associated with the risk of esophageal cancer, is extremely important A comparative metabolomics study was performed by using ultraperformance liquid chromatography-electrospray ionization-accurate mass time-of-flight mass spectrometry to analyze 53 pairs of plasma samples from ESCC patients and healthy controls recruited in Huaian, China. The result identified a metabolomic profiling of plasma including 25 upregulated metabolites and five downregulated metabolites, for early diagnosis of ESCC. With a database-based verification protocol, 11 molecules were identified, and six upregulated molecules of interest in ESCC were found to belong to phospholipids as follows: phosphatidylserine, phosphatidic acid, phosphatidyl choline, phosphatidylinositol, phosphatidyl ethanolamine, and sphinganine 1-phosphate. Clinical estimation of metabolic biomarkers through hierarchical cluster analysis in plasma samples from 17 ESCC patients and 29 healthy volunteers indicated that the present metabolite profile could distinguish ESCC patients from healthy individuals. The cluster of aberrant expression of these metabolites in ESCC indicates the critical role of phospholipid metabolism in the oncogenesis of ESCC and suggests its potential ability to assess the risk of ESCC development in addition to currently used risk factors.

  12. Identification of three molecular and functional subtypes in canine hemangiosarcoma through gene expression profiling and progenitor cell characterization.

    Science.gov (United States)

    Gorden, Brandi H; Kim, Jong-Hyuk; Sarver, Aaron L; Frantz, Aric M; Breen, Matthew; Lindblad-Toh, Kerstin; O'Brien, Timothy D; Sharkey, Leslie C; Modiano, Jaime F; Dickerson, Erin B

    2014-04-01

    Canine hemangiosarcomas have been ascribed to an endothelial origin based on histologic appearance; however, recent findings suggest that these tumors may arise instead from hematopoietic progenitor cells. To clarify this ontogenetic dilemma, we used genome-wide expression profiling of primary hemangiosarcomas and identified three distinct tumor subtypes associated with angiogenesis (group 1), inflammation (group 2), and adipogenesis (group 3). Based on these findings, we hypothesized that a common progenitor may differentiate into the three tumor subtypes observed in our gene profiling experiment. To investigate this possibility, we cultured hemangiosarcoma cell lines under normal and sphere-forming culture conditions to enrich for tumor cell progenitors. Cells from sphere-forming cultures displayed a robust self-renewal capacity and exhibited genotypic, phenotypic, and functional properties consistent with each of the three molecular subtypes seen in primary tumors, including expression of endothelial progenitor cell (CD133 and CD34) and endothelial cell (CD105, CD146, and αvβ3 integrin) markers, expression of early hematopoietic (CD133, CD117, and CD34) and myeloid (CD115 and CD14) differentiation markers in parallel with increased phagocytic capacity, and acquisition of adipogenic potential. Collectively, these results suggest that canine hemangiosarcomas arise from multipotent progenitors that differentiate into distinct subtypes. Improved understanding of the mechanisms that determine the molecular and phenotypic differentiation of tumor cells in vivo could change paradigms regarding the origin and progression of endothelial sarcomas. Copyright © 2014 American Society for Investigative Pathology. Published by Elsevier Inc. All rights reserved.

  13. Transcriptome-wide identification and expression profiles of the WRKY transcription factor family in Broomcorn millet (Panicum miliaceum L.).

    Science.gov (United States)

    Yue, Hong; Wang, Meng; Liu, Siyan; Du, Xianghong; Song, Weining; Nie, Xiaojun

    2016-05-10

    WRKY genes, as the most pivotal transcription factors in plants, play the indispensable roles in regulating various physiological processes, including plant growth and development as well as in response to stresses. Broomcorn millet is one of the most important crops in drought areas worldwide. However, the WRKY gene family in broomcorn millet remains unknown. A total of 32 PmWRKY genes were identified in this study using computational prediction method. Structural analysis found that PmWRKY proteins contained a highly conserved motif WRKYGQK and two common variant motifs, namely WRKYGKK and WRKYGEK. Phylogenetic analysis of PmWRKYs together with the homologous genes from the representative species could classify them into three groups, with the number of 1, 15, and 16, respectively. Finally, the transcriptional profiles of these 32 PmWRKY genes in various tissues or under different abiotic stresses were systematically investigated using qRT-PCR analysis. Results showed that the expression level of 22 PmWRKY genes varied significantly under one or more abiotic stress treatments, which could be defined as abiotic stress-responsive genes. This was the first study to identify the organization and transcriptional profiles of PmWRKY genes, which not only facilitates the functional analysis of the PmWRKY genes, and also lays the foundation to reveal the molecular mechanism of stress tolerance in this important crop.

  14. Identification of sixteen peptides reflecting heat and/or storage induced processes by profiling of commercial milk samples.

    Science.gov (United States)

    Ebner, Jennifer; Baum, Florian; Pischetsrieder, Monika

    2016-09-16

    Peptide profiles of different drinking milk samples were examined to study how the peptide fingerprint of milk reflects processing conditions. The combination of a simple and fast method for peptide extraction using stage tips and MALDI-TOF-MS enabled the fast and easy generation and relative quantification of peptide fingerprints for high-temperature short-time (HTST), extended shelf life (ESL) and ultra-high temperature (UHT) milk of the same dairies. The relative quantity of 16 peptides changed as a function of increasing heat load. Additional heating experiments showed that among those, the intensity of peptide β-casein 196-209 (m/z 1460.9Da) was most heavily influenced by heat treatment indicating a putative marker peptide for milk processing conditions. Storage experiments with HTST- and UHT milk revealed that the differences between different types of milk samples were not only caused by the heating process. Relevant was also the proteolytic activity of enzymes during storage, which were differently influenced by the heat treatment. These results indicate that the peptide profile may be suitable to monitor processing as well as storage conditions of milk. In the present study, peptide profiling of different types of milk was carried out by MALDI-TOF-MS after stage-tip extraction and relative quantification using an internal reference peptide. Although MALDI-TOF-MS covers only part of the peptidome, the method is easy and quick and is, therefore, suited for routine analysis to address several aspects of food authenticity. Using this method, 16 native peptides were detected in milk that could be modulated by different industrial processes. Subsequent heating and storage experiments with pasteurized and UHT milk confirmed that these peptides are indeed related to the production or storage conditions of the respective products. Furthermore, the heating experiments revealed one peptide, namely the β-casein-derived sequence β-casein 196-209, which underwent

  15. Identification of potential biomarkers from gene expression profiles in rat lungs intratracheally instilled with C(60) fullerenes.

    Science.gov (United States)

    Fujita, Katsuhide; Morimoto, Yasuo; Endoh, Shigehisa; Uchida, Kunio; Fukui, Hiroko; Ogami, Akira; Tanaka, Isamu; Horie, Masanori; Yoshida, Yasukazu; Iwahashi, Hitoshi; Nakanishi, Junko

    2010-01-01

    The use of C(60) fullerenes is expected to increase in various industrial fields. Little is known about the potential toxicological mechanism of action of water-soluble C(60) fullerenes. In our previous research, gene expression profiling of the rat lung was performed after whole-body inhalation exposure to C(60) fullerenes to gain insights into the molecular events. These DNA microarray-based data closely matched the pathological findings that C(60) fullerenes caused no serious adverse pulmonary effects under the inhalation exposure condition. Taking advantage of this, we attempted to characterize time-dependent changes in the gene expression profiles after intratracheal instillation with C(60) fullerenes at different dosages and to identify the candidate expressed genes as potential biomarkers. The hierarchical cluster analysis revealed that the up- or downregulation of genes after intratracheal instillation with 1.0 mg C(60) fullerene particles in rat lung tissue was significantly over-represented in the "response to stimulus" and "response to chemical stimulus" categories of biological processes and in the "extracellular space" category of the cellular component. These results were remarkable for 1 week after the instillation with C(60) fullerenes. In the lung tissues instilled with 1.0 mg C(60) fullerene particles, many representative genes involved in "inflammatory response," such as the Cxcl2, Cxcl6, Orm1, and Spp1 genes, and in "matrix metalloproteinase activity," such as the Mmp7 and Mmp12 genes, were upregulated for over 6 months. The expression levels of 89 and 21 genes were positively correlated with the C(60) fullerene dose at 1 week and 6 months after the instillation, respectively. Most of them were involved in "inflammatory response", and the Ccl17, Ctsk, Cxcl2, Cxcl6, Lcn6, Orm1, Rnase9, Slc26a4, Spp1, Mmp7, and Mmp12 genes were overlapped. Meanwhile, the expression levels of 16 and 4 genes were negatively correlated with the C(60) fullerene dose

  16. Napping-Ultra Flash Profile as a Tool for Category Identification and Subsequent Model System Formulation of Caramel Corn Products.

    Science.gov (United States)

    Mayhew, Emily; Schmidt, Shelly; Lee, Soo-Yeun

    2016-07-01

    In a novel approach to formulation, the flash descriptive profiling technique Napping-Ultra Flash Profile (Napping-UFP) was used to characterize a wide range of commercial caramel corn products. The objectives were to identify product categories, develop model systems based on product categories, and correlate analytical parameters with sensory terms generated through the Napping-UFP exercise. In one 2 h session, 12 panelists participated in 4 Napping-UFP exercises, describing and grouping, on a 43×56 cm paper sheet, 12 commercial caramel corn samples by degree of similarity, globally and in terms of aroma-by-mouth, texture, and taste. The coordinates of each sample's placement on the paper sheet and descriptive terms generated by the panelists were used to conduct Multiple Factor Analysis (MFA) and hierarchical clustering of the samples. Strong trends in the clustering of samples across the 4 Napping-UFP exercises resulted in the determination of 3 overarching types of commercial caramel corn: "small-scale dark" (typified by burnt, rich caramel corn), "large-scale light" (typified by light and buttery caramel corn), and "large-scale dark" (typified by sweet and molasses-like caramel corn). Representative samples that best exemplified the properties of each category were used as guides in the formulation of 3 model systems that represent the spread of commercial caramel corn products. Analytical testing of the commercial products, including aw measurement, moisture content determination, and thermal characterization via differential scanning calorimetry, were conducted and results related to sensory descriptors using Spearman's correlation. © 2016 Institute of Food Technologists®

  17. Identification of wild soybean (Glycine soja) TIFY family genes and their expression profiling analysis under bicarbonate stress.

    Science.gov (United States)

    Zhu, Dan; Bai, Xi; Luo, Xiao; Chen, Qin; Cai, Hua; Ji, Wei; Zhu, Yanming

    2013-02-01

    Wild soybean (Glycine soja L. G07256) exhibits a greater adaptability to soil bicarbonate stress than cultivated soybean, and recent discoveries show that TIFY family genes are involved in the response to several abiotic stresses. A genomic and transcriptomic analysis of all TIFY genes in G. soja, compared with G. max, will provide insight into the function of this gene family in plant bicarbonate stress response. This article identified and characterized 34 TIFY genes in G. soja. Sequence analyses indicated that most GsTIFY proteins had two conserved domains: TIFY and Jas. Phylogenetic analyses suggested that these GsTIFY genes could be classified into two groups. A clustering analysis of all GsTIFY transcript expression profiles from bicarbonate stress treated G. soja showed that there were five different transcript patterns in leaves and six different transcript patterns in roots when the GsTIFY family responds to bicarbonate stress. Moreover, the expression level changes of all TIFY genes in cultivated soybean, treated with bicarbonate stress, were also verified. The expression comparison analysis of TIFYs between wild and cultivated soybeans confirmed that, different from the cultivated soybean, GsTIFY (10a, 10b, 10c, 10d, 10e, 10f, 11a, and 11b) were dramatically up-regulated at the early stage of stress, while GsTIFY 1c and 2b were significantly up-regulated at the later period of stress. The frequently stress responsive and diverse expression profiles of the GsTIFY gene family suggests that this family may play important roles in plant environmental stress responses and adaptation.

  18. Genegis: Computational Tools for Spatial Analyses of DNA Profiles with Associated Photo-Identification and Telemetry Records of Marine Mammals

    Science.gov (United States)

    2013-09-30

    a spatially selected search of all individual humpback whales identified on a) Mainland and Baja Mexico wintering grounds, and b) the California...Examination of health effects and long-term impacts of deployments of multiple tag types on blue, humpback, and gray whales in the eastern North Pacific...records derived from the SPLASH ocean-wide survey of humpback whales Megaptera novaeangliae in the North Pacific (Baker et al. in press, Barlow et al

  19. A concept study on identification and attribution profiling of chemical threat agents using liquid chromatography-mass spectrometry applied to Amanita toxins in food.

    Science.gov (United States)

    Jansson, Daniel; Fredriksson, Sten-Åke; Herrmann, Anders; Nilsson, Calle

    2012-09-10

    Accidental or deliberate poisoning of food is of great national and international concern. Detecting and identifying potentially toxic agents in food is challenging due to their large chemical diversity and the complexity range of food matrices. A methodology is presented whereby toxic agents are identified and further characterized using a two-step approach. First, generic screening is performed by LC/MS/MS to detect toxins based on a list of selected potential chemical threat agents (CTAs). After identifying the CTAs, a second LC/MS analysis is performed applying accurate mass determination and the generation of an attribution profile. To demonstrate the potential of the methodology, toxins from the mushrooms Amanita phalloides and Amanita virosa were analyzed. These mushrooms are known to produce cyclic peptide toxins, which can be grouped into amatoxins, phallotoxins and virotoxins, where α-amanitin and β-amanitin are regarded as the most potent. To represent a typical complex food sample, mushroom stews containing either A. phalloides or A. virosa were prepared. By combining the screening method with accurate mass analysis, the attribution profile for the identified toxins and related components in each stew was established and used to identify the mushroom species in question. In addition, the analytical data was consistent with the fact that the A. virosa specimens used in this study were of European origin. This adds an important piece of information that enables geographic attribution and strengthens the attribution profile. Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.

  20. MicroRNA Expression Profiling in Clear Cell Renal Cell Carcinoma: Identification and Functional Validation of Key miRNAs.

    Directory of Open Access Journals (Sweden)

    Haowei He

    Full Text Available This study aims to profile dysregulated microRNA (miRNA expression in clear cell renal cell carcinoma (ccRCC and to identify key regulatory miRNAs in ccRCC.miRNA expression profiles in nine pairs of ccRCC tumor samples at three different stages and the adjacent, non-tumorous tissues were investigated using miRNA arrays. Eleven miRNAs were identified to be commonly dysregulated, including three up-regulated (miR-487a, miR-491-3p and miR-452 and eight down-regulated (miR-125b, miR-142-3p, miR-199a-5p, miR-22, miR-299-3p, miR-29a, miR-429, and miR-532-5p in tumor tissues as compared with adjacent normal tissues. The 11 miRNAs and their predicted target genes were analyzed by Gene Ontology and Kyoto Encyclopedia of Genes and Genomes (KEGG pathway enrichment analysis, and three key miRNAs (miR-199a-5p, miR-22 and miR-429 were identified by microRNA-gene network analysis. Dysregulation of the three key miRNAs were further validated in another cohort of 15 ccRCC samples, and the human kidney carcinoma cell line 786-O, as compared with five normal kidney samples. Further investigation showed that over-expression of miR-199a-5p significantly inhibited the invasion ability of 786-O cells. Luciferase reporter assays indicated that miR-199a-5p regulated expression of TGFBR1 and JunB by directly interacting with their 3' untranslated regions. Transfection of miR-199a-5p successfully suppressed expression of TGFBR1 and JunB in the human embryonic kidney 293T cells, further confirming the direct regulation of miR-199a-5p on these two genes.This study identified 11 commonly dysregulated miRNAs in ccRCC, three of which (miR-199a-5p, miR-22 and miR-429 may represent key miRNAs involved in the pathogenesis of ccRCC. Further studies suggested that miR-199a-5p plays an important role in inhibition of cell invasion of ccRCC cells by suppressing expression of TGFBR1 and JunB.

  1. Krebs cycle metabolite profiling for identification and stratification of pheochromocytomas/paragangliomas due to succinate dehydrogenase deficiency.

    Science.gov (United States)

    Richter, Susan; Peitzsch, Mirko; Rapizzi, Elena; Lenders, Jacques W; Qin, Nan; de Cubas, Aguirre A; Schiavi, Francesca; Rao, Jyotsna U; Beuschlein, Felix; Quinkler, Marcus; Timmers, Henri J; Opocher, Giuseppe; Mannelli, Massimo; Pacak, Karel; Robledo, Mercedes; Eisenhofer, Graeme

    2014-10-01

    Mutations of succinate dehydrogenase A/B/C/D genes (SDHx) increase susceptibility to development of pheochromocytomas and paragangliomas (PPGLs), with particularly high rates of malignancy associated with SDHB mutations. We assessed whether altered succinate dehydrogenase product-precursor relationships, manifested by differences in tumor ratios of succinate to fumarate or other metabolites, might aid in identifying and stratifying patients with SDHx mutations. PPGL tumor specimens from 233 patients, including 45 with SDHx mutations, were provided from eight tertiary referral centers for mass spectrometric analyses of Krebs cycle metabolites. Diagnostic performance of the succinate:fumarate ratio for identification of pathogenic SDHx mutations. SDH-deficient PPGLs were characterized by 25-fold higher succinate and 80% lower fumarate, cis-aconitate, and isocitrate tissue levels than PPGLs without SDHx mutations. Receiver-operating characteristic curves for use of ratios of succinate to fumarate or to cis-aconitate and isocitrate to identify SDHx mutations indicated areas under curves of 0.94 to 0.96; an optimal cut-off of 97.7 for the succinate:fumarate ratio provided a diagnostic sensitivity of 93% at a specificity of 97% to identify SDHX-mutated PPGLs. Succinate:fumarate ratios were higher in both SDHB-mutated and metastatic tumors than in those due to SDHD/C mutations or without metastases. Mass spectrometric-based measurements of ratios of succinate:fumarate and other metabolites in PPGLs offer a useful method to identify patients for testing of SDHx mutations, with additional utility to quantitatively assess functionality of mutations and metabolic factors responsible for malignant risk.

  2. Identification of genes and pathways associated with aluminum stress and tolerance using transcriptome profiling of wheat near-isogenic lines

    Directory of Open Access Journals (Sweden)

    Diallo Amadou

    2008-08-01

    Full Text Available Abstract Background Aluminum is considered the most limiting factor for plant productivity in acidic soils, which cover large areas of the world's potential arable lands. The inhibition of root growth is recognized as the primary effect of Al toxicity. To identify genes associated with Al stress and tolerance, transcriptome analyses of four different wheat lines (2 Al-tolerant and 2 Al sensitive that differ in their response to Al were performed. Results Microarray expression profiling revealed that 83 candidate genes are associated with Al stress and 25 are associated with tolerance. The stress-associated genes include important enzymes such as pyruvate dehydrogenase, alternative oxidase, and galactonolactone oxidase, ABC transporter and ascorbate oxido-reducatase. The Al tolerance-associated genes include the ALMT-1 malate transporter, glutathione S-transferase, germin/oxalate oxidase, fructose 1,6-bisphosphatase, cysteine-rich proteins, cytochrome P450 monooxygenase, cellulose synthase, zinc finger transcription factor, disease resistance response protein and F-box containing domain protein. Conclusion In this survey, we identified stress- and tolerance-associated genes that may be involved in the detoxification of Al and reactive oxygen species. Alternative pathways could help maintain the supply of important metabolites (H2O2, ascorbate, NADH, and phosphate needed for Al tolerance and root growth. The Al tolerance-associated genes may be key factors that regulate these pathways.

  3. Genome-wide identification, characterization and expression profile analysis of expansins gene family in sugarcane (Saccharum spp.).

    Science.gov (United States)

    Santiago, Thaís R; Pereira, Valquiria M; de Souza, Wagner R; Steindorff, Andrei S; Cunha, Bárbara A D B; Gaspar, Marília; Fávaro, Léia C L; Formighieri, Eduardo F; Kobayashi, Adilson K; C Molinari, Hugo B

    2018-01-01

    Expansins refer to a family of closely related non-enzymatic proteins found in the plant cell wall that are involved in the cell wall loosening. In addition, expansins appear to be involved in different physiological and environmental responses in plants such as leaf and stem initiation and growth, stomata opening and closing, reproduction, ripening and stress tolerance. Sugarcane (Saccharum spp.) is one of the main crops grown worldwide. Lignocellulosic biomass from sugarcane is one of the most promising raw materials for the ethanol industry. However, the efficient use of lignocellulosic biomass requires the optimization of several steps, including the access of some enzymes to the hemicellulosic matrix. The addition of expansins in an enzymatic cocktail or their genetic manipulation could drastically improve the saccharification process of feedstock biomass by weakening the hydrogen bonds between polysaccharides present in plant cell walls. In this study, the expansin gene family in sugarcane was identified and characterized by in silico analysis. Ninety two putative expansins in sugarcane (SacEXPs) were categorized in three subfamilies after phylogenetic analysis. The expression profile of some expansin genes in leaves of sugarcane in different developmental stages was also investigated. This study intended to provide suitable expansin targets for genetic manipulation of sugarcane aiming at biomass and yield improvement.

  4. Molecular cloning, sequence identification and expression profile of domestic guinea pig (Cavia porcellus UGT1A1 gene

    Directory of Open Access Journals (Sweden)

    Yang Deming

    2016-01-01

    Full Text Available Domestic guinea pig is a model animal for human disease research. Uridine diphosphate glucuronosyltransferase 1 family, polypeptide A1 (UGT1A1 is an important human disease-related gene. In this study, the complete coding sequence of domestic guinea pig gene UGT1A1 was amplified by reverse transcription-polymerase chain reaction. The open reading frame of the domestic guinea pig UGT1A1 gene is 1602 bp in length and was found to encode a protein of 533 amino acids. Sequence analysis revealed that the UGT1A1 protein of domestic guinea pig shared high homology with the UGT1A1 proteins of degu (84%, damara mole-rat (84%, human (80%, northern white-cheeked gibbon (80%, Colobus angolensis palliatus (80% and golden snub-nosed monkey (79%. This gene contains five exons and four introns, as revealed by the computer-assisted analysis. The results also showed that the domestic guinea pig UGT1A1 gene had a close genetic relationship with the UGT1A1 gene of degu. The prediction of transmembrane helices showed that domestic guinea pig UGT1A1 might be a transmembrane protein. Expression profile analysis indicated that the domestic guinea pig UGT1A1 gene was differentially expressed in detected domestic guinea pig tissues. Our experiment laid a primary foundation for using the domestic guinea pig as a model animal to study the UGT1A1-related human diseases.

  5. Identification and expression profile analysis of odorant binding protein and chemosensory protein genes in Bemisia tabaci MED by head transcriptome.

    Science.gov (United States)

    Wang, Ran; Li, Fengqi; Zhang, Wei; Zhang, Xiaoman; Qu, Cheng; Tetreau, Guillaume; Sun, Lujuan; Luo, Chen; Zhou, Jingjiang

    2017-01-01

    Odorant binding proteins (OBPs) and chemosensory proteins (CSPs) of arthropods are thought to be involved in chemical recognition which regulates pivotal behaviors including host choice, copulation and reproduction. In insects, OBPs and CSPs located mainly in the antenna but they have not been systematically characterized yet in Bemisia tabaci which is a cryptic species complex and could damage more than 600 plant species. In this study, among the 106,893 transcripts in the head assembly, 8 OBPs and 13 CSPs were identified in B. tabaci MED based on head transcriptomes of adults. Phylogenetic analyses were conducted to investigate the relationships of B. tabaci OBPs and CSPs with those from several other important Hemipteran species, and the motif-patterns between Hemiptera OBPs and CSPs were also compared by MEME. The expression profiles of the OBP and CSP genes in different tissues of B. tabaci MED adults were analyzed by real-time qPCR. Seven out of the 8 OBPs found in B. tabaci MED were highly expressed in the head. Conversely, only 4 CSPs were enriched in the head, while the other nine CSPs were specifically expressed in other tissues. Our findings pave the way for future research on chemical recognition of B. tabaci at the molecular level.

  6. Identification of pathogenic genes related to rheumatoid arthritis through integrated analysis of DNA methylation and gene expression profiling.

    Science.gov (United States)

    Zhang, Lei; Ma, Shiyun; Wang, Huailiang; Su, Hang; Su, Ke; Li, Longjie

    2017-11-15

    The purpose of our study was to identify new pathogenic genes used for exploring the pathogenesis of rheumatoid arthritis (RA). To screen pathogenic genes of RA, an integrated analysis was performed by using the microarray datasets in RA derived from the Gene Expression Omnibus (GEO) database. The functional annotation and potential pathways of differentially expressed genes (DEGs) were further discovered by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis. Afterwards, the integrated analysis of DNA methylation and gene expression profiling was used to screen crucial genes. In addition, we used RT-PCR and MSP to verify the expression levels and methylation status of these crucial genes in 20 synovial biopsy samples obtained from 10 RA model mice and 10 normal mice. BCL11B, CCDC88C, FCRLA and APOL6 were both up-regulated and hypomethylated in RA according to integrated analysis, RT-PCR and MSP verification. Four crucial genes (BCL11B, CCDC88C, FCRLA and APOL6) identified and analyzed in this study might be closely connected with the pathogenesis of RA. Copyright © 2017. Published by Elsevier B.V.

  7. Identification of novel candidate genes involved in mineralization of dental enamel by genome-wide transcript profiling.

    Science.gov (United States)

    Lacruz, Rodrigo S; Smith, Charles E; Bringas, Pablo; Chen, Yi-Bu; Smith, Susan M; Snead, Malcolm L; Kurtz, Ira; Hacia, Joseph G; Hubbard, Michael J; Paine, Michael L

    2012-05-01

    The gene repertoire regulating vertebrate biomineralization is poorly understood. Dental enamel, the most highly mineralized tissue in mammals, differs from other calcifying systems in that the formative cells (ameloblasts) lack remodeling activity and largely degrade and resorb the initial extracellular matrix. Enamel mineralization requires that ameloblasts undergo a profound functional switch from matrix-secreting to maturational (calcium transport, protein resorption) roles as mineralization progresses. During the maturation stage, extracellular pH decreases markedly, placing high demands on ameloblasts to regulate acidic environments present around the growing hydroxyapatite crystals. To identify the genetic events driving enamel mineralization, we conducted genome-wide transcript profiling of the developing enamel organ from rat incisors and highlight over 300 genes differentially expressed during maturation. Using multiple bioinformatics analyses, we identified groups of maturation-associated genes whose functions are linked to key mineralization processes including pH regulation, calcium handling, and matrix turnover. Subsequent qPCR and Western blot analyses revealed that a number of solute carrier (SLC) gene family members were up-regulated during maturation, including the novel protein Slc24a4 involved in calcium handling as well as other proteins of similar function (Stim1). By providing the first global overview of the cellular machinery required for enamel maturation, this study provide a strong foundation for improving basic understanding of biomineralization and its practical applications in healthcare. Copyright © 2011 Wiley Periodicals, Inc.

  8. Identification and Expression Profiling of the Auxin Response Factors in Capsicum annuum L. under Abiotic Stress and Hormone Treatments

    Directory of Open Access Journals (Sweden)

    Chenliang Yu

    2017-12-01

    Full Text Available Auxin response factors (ARFs play important roles in regulating plant growth and development and response to environmental stress. An exhaustive analysis of the CaARF family was performed using the latest publicly available genome for pepper (Capsicum annuum L.. In total, 22 non-redundant CaARF gene family members in six classes were analyzed, including chromosome locations, gene structures, conserved motifs of proteins, phylogenetic relationships and Subcellular localization. Phylogenetic analysis of the ARFs from pepper (Capsicum annuum L., tomato (Solanum lycopersicum L., Arabidopsis and rice (Oryza sativa L. revealed both similarity and divergence between the four ARF families, and aided in predicting biological functions of the CaARFs. Furthermore, expression profiling of CaARFs was obtained in various organs and tissues using quantitative real-time RT-PCR (qRT-PCR. Expression analysis of these genes was also conducted with various hormones and abiotic treatments using qRT-PCR. Most CaARF genes were regulated by exogenous hormone treatments at the transcriptional level, and many CaARF genes were altered by abiotic stress. Systematic analysis of CaARF genes is imperative to elucidate the roles of CaARF family members in mediating auxin signaling in the adaptation of pepper to a challenging environment.

  9. Heat shock factors in tomatoes: genome-wide identification, phylogenetic analysis and expression profiling under development and heat stress

    Directory of Open Access Journals (Sweden)

    Xuedong Yang

    2016-05-01

    Full Text Available The HSF (heat shock factor gene family contains highly conserved plant-specific transcription factors that play an important role in plant high-temperature stress responses. The present study aimed to characterize the HSF transcription factor genes in tomato (Solanum lycopersicum, which is an important vegetable crop worldwide and the model plant for fruit development studies. Twenty-six SlyHSF genes were identified in tomato, and the phylogenetic analysis showed the possible evolution profile of subgroups among in the plant kingdom. A new group O was identified that involved HSF genes in primitive plant species, like in the green algae, mosses and lycophytes. The gene structure and motifs of each SlyHSF were comprehensively analyzed. We identified orthologous, co-orthologous and paralogous HSF gene pairs in tomato, Arabidopsis and rice, and constructed a complex interaction network among these genes. The SlyHSF genes were expressed differentially in different species and at a higher level in mature fruits. The qPCR analysis was performed and showed SlyHSF genes greatly participate in plant heat tolerant pathways. Our comprehensive genome-wide analysis provided insights into the HSF gene family of tomatoes.

  10. Identification and expression profiles of neuropeptides and their G protein-coupled receptors in the rice stem borer Chilo suppressalis.

    Science.gov (United States)

    Xu, Gang; Gu, Gui-Xiang; Teng, Zi-Wen; Wu, Shun-Fan; Huang, Jia; Song, Qi-Sheng; Ye, Gong-Yin; Fang, Qi

    2016-06-29

    In insects, neuropeptides play important roles in the regulation of multiple physiological processes by binding to their corresponding receptors, which are primarily G protein-coupled receptors (GPCRs). The genes encoding neuropeptides and their associated GPCRs in the rice stem borer Chilo suppressalis were identified by a transcriptomic analysis and were used to identify potential targets for the disruption of physiological processes and the protection of crops. Forty-three candidate genes were found to encode the neuropeptide precursors for all known insect neuropeptides except for arginine-vasopressin-like peptide (AVLP), CNMamide, neuropeptide-like precursors 2-4 (NPLP2-4), and proctolin. In addition, novel alternative splicing variants of three neuropeptide genes (allatostatin CC, CCHamide 1, and short neuropeptide F) are reported for the first time, and 51 putative neuropeptide GPCRs were identified. Phylogenetic analyses demonstrated that 44 of these GPCRs belong to the A-family (or rhodopsin-like), 5 belong to the B-family (or secretin-like), and 2 are leucine-rich repeat-containing GPCRs. These GPCRs and their likely ligands were also described. qRT-PCR analyses revealed the expression profiles of the neuropeptide precursors and GPCR genes in various tissues of C. suppressalis. Our study provides fundamental information that may further our understanding of neuropeptidergic signaling systems in Lepidoptera and aid in the design of peptidomimetics, pseudopeptides or small molecules capable of disrupting the physiological processes regulated by these signaling molecules and their receptors.

  11. A diagnostic biomarker profile for fibromyalgia syndrome based on an NMR metabolomics study of selected patients and controls

    NARCIS (Netherlands)

    Malatji, B.G.; Meyer, H.; Mason, S.; Engelke, U.F.; Wevers, R.A.; Reenen, M. van; Reinecke, C.J.

    2017-01-01

    BACKGROUND: Fibromyalgia syndrome (FMS) is a chronic pain syndrome. A plausible pathogenesis of the disease is uncertain and the pursuit of measurable biomarkers for objective identification of affected individuals is a continuing endeavour in FMS research. Our objective was to perform an

  12. Genome-wide identification and expression profiling analysis of the Aux/IAA gene family in Medicago truncatula during the early phase of Sinorhizobium meliloti infection.

    Science.gov (United States)

    Shen, Chenjia; Yue, Runqing; Yang, Yanjun; Zhang, Lei; Sun, Tao; Xu, Luqin; Tie, Shuanggui; Wang, Huizhong

    2014-01-01

    Auxin/indoleacetic acid (Aux/IAA) genes, coding a family of short-lived nuclear proteins, play key roles in wide variety of plant developmental processes, including root system regulation and responses to environmental stimulus. However, how they function in auxin signaling pathway and symbiosis with rhizobial in Medicago truncatula are largely unknown. The present study aims at gaining deeper insight on distinctive expression and function features of Aux/IAA family genes in Medicago truncatula during nodule formation. Using the latest updated draft of the full Medicago truncatula genome, a comprehensive identification and analysis of IAA genes were performed. The data indicated that MtIAA family genes are distributed in all the M. truncatula chromosomes except chromosome 6. Most of MtIAA genes are responsive to exogenous auxin and express in tissues-specific manner. To understand the biological functions of MtIAA genes involved in nodule formation, quantitative real-time polymerase chain reaction (qRT-PCR) was used to test the expression profiling of MtIAA genes during the early phase of Sinorhizobium meliloti (S. meliloti) infection. The expression patterns of most MtIAA genes were down-regulated in roots and up-regulated in shoots by S. meliloti infection. The differences in expression responses between roots and shoots caused by S. meliloti infection were alleviated by 1-NOA application. The genome-wide identification, evolution and expression pattern analysis of MtIAA genes were performed in this study. The data helps us to understand the roles of MtIAA-mediated auxin signaling in nodule formation during the early phase of S. meliloti infection.

  13. IDENTIFICATION AND ANTIBIOTIC RESISTANCE PROFILE OFENTEROBACTERIACEAE SPECIES AND LACTOBACILLUS SPP. ISOLATED FROM HONEY BEES (APIS MELLIFERA DIGESTIVE TRACT

    Directory of Open Access Journals (Sweden)

    Lukáš Hleba

    2014-02-01

    Full Text Available Honey bees play important role in agricultural environment as main pollinators. Its important for many agricultural and wild plants. Also honey bee are producers of honey, which is consumed directly and it should be not a heat treatment. Many bacteria can be survive in honey for long time. Some of these bacteria are human and animal facultative pathogens, including Enterobactericaeae genera. If these bacteria contain antibiotic resistant genes than it can to leads to troubles in healing of some of bacterial infections. Lactobacillus spp. can be a reservoir of resistant genes for pathogenic bacterial strains. In this study we isolated Enterobacteriaceae strains from digestive tracts of honey bees. These strains was tested to the eight selected antibiotics by disc diffusion method and strains were indentified by MALDI TOF MS Biotyper. From this study we determined resistance to piperacillin in the highest level. Equally, we determined that Citrobacter gillenii was resistant to three antibiotics (piperacillin, chloramphenicol and levofloxacin from eight. Resistance to other antibiotics were determined in low levels and other indentified bacteria were resistant to one antibiotic, if any. Also we detected resistance in Lactobacillus spp. and determined MICs distribution for some selected antibiotics. For absence of similar studies we could not to discuss our results and we think that further experiments and studies are needed.

  14. Selective orthosteric free fatty acid receptor 2 (FFA2) agonists: identification of the structural and chemical requirements for selective activation of FFA2 versus FFA3

    DEFF Research Database (Denmark)

    Schmidt, Johannes; Smith, Nicola J; Christiansen, Elisabeth

    2011-01-01

    given its size. Propionate, however, does not discriminate between FFA2 and the closely related receptor FFA3 (GPR41). To identify FFA2 selective ligands and understand the molecular basis for FFA2 selectivity, a targeted library of small carboxylic acids (SCAs) was examined using holistic, label...

  15. Who Should They Relate To? A Study For the Identification and Analysis of Criteria to the Partners’ Selection in Inter-Organizational Networks

    Directory of Open Access Journals (Sweden)

    Denise Rossato Quatrin

    2017-01-01

    Full Text Available The selection of partners is strategic in inter-organizational networks. One of the most important aspects is the definition of criteria for selection, that are the minimal characteristics required from those prospected. This study aimed to identify the most important criteria for the selection of members in horizontal inter-organizational networks, also describing their influence on network activities. First, we applied 120 questionnaires to managers of inter-organizational networks to identify the degree of importance of criteria previously treated in the literature. After, we interviewed 16 managers enabling us to identify other criteria, as well as understanding their influence on network activities. All of the 20 criteria from the literature were considered with significant importance by managers and the following criteria were added: trustworthiness, entrepreneur’s profile and company lifetime. The results aim to contribute to the selection of partners and provide information for the construction of the inter-organizational networks literature.

  16. [Valuation for usefulness of selected chromosomal markers for Bacillus anthracis identification. II. Valuation for markers SSH and rpoB].

    Science.gov (United States)

    Zasada, Aleksandra Anna; Jagielski, Marek

    2006-01-01

    The article presents results of valuation for B. anthracis-specificity and usefulness for its identification obtained for different chromosomal markers. In the second part of the study markers SSH241, SSH196, SSH163, SSH133 as well as a fragment of the house-keeping gene rpoB were analyzed. For the investigation MSSCP and multiplex-PCR assays were used. There were also tested different techniques of electrophoresis. The results gave an information about specificity of tested markers and their usefulness for B. anthracis identification.

  17. Identification of potential crucial genes associated with steroid-induced necrosis of femoral head based on gene expression profile.

    Science.gov (United States)

    Lin, Zhe; Lin, Yongsheng

    2017-09-05

    The aim of this study was to explore potential crucial genes associated with the steroid-induced necrosis of femoral head (SINFH) and to provide valid biological information for further investigation of SINFH. Gene expression profile of GSE26316, generated from 3 SINFH rat samples and 3 normal rat samples were downloaded from Gene Expression Omnibus (GEO) database. The differentially expressed genes (DEGs) were identified using LIMMA package. After functional enrichment analyses of DEGs, protein-protein interaction (PPI) network and sub-PPI network analyses were conducted based on the STRING database and cytoscape. In total, 59 up-regulated DEGs and 156 downregulated DEGs were identified. The up-regulated DEGs were mainly involved in functions about immunity (e.g. Fcer1A and Il7R), and the downregulated DEGs were mainly enriched in muscle system process (e.g. Tnni2, Mylpf and Myl1). The PPI network of DEGs consisted of 123 nodes and 300 interactions. Tnni2, Mylpf, and Myl1 were the top 3 outstanding genes based on both subgraph centrality and degree centrality evaluation. These three genes interacted with each other in the network. Furthermore, the significant network module was composed of 22 downregulated genes (e.g. Tnni2, Mylpf and Myl1). These genes were mainly enriched in functions like muscle system process. The DEGs related to the regulation of immune system process (e.g. Fcer1A and Il7R), and DEGs correlated with muscle system process (e.g. Tnni2, Mylpf and Myl1) may be closely associated with the progress of SINFH, which is still needed to be confirmed by experiments. Copyright © 2017 Elsevier B.V. All rights reserved.

  18. The DnaJ Gene Family in Pepper (Capsicum annuum L.: Comprehensive Identification, Characterization and Expression Profiles

    Directory of Open Access Journals (Sweden)

    Yunyan Kang

    2017-05-01

    Full Text Available The DnaJ proteins which function as molecular chaperone played critical roles in plant growth and development and response to heat stress (HS and also called heat shock protein 40 based on molecular weight. However, little was reported on this gene family in pepper. Recently, the release of the whole pepper genome provided an opportunity for identifying putative DnaJ homologous. In this study, a total of 76 putative pepper DnaJ genes (CaDnaJ01 to CaDnaJ76 were identified using bioinformatics methods and classified into five groups by the presence of the complete three domains (J-domain, zinc finger domain, and C-terminal domain. Chromosome mapping suggested that segmental duplication and tandem duplication were occurred in evolution. The multiple stress-related cis-elements were found in the promoter region of these CaDnaJ genes, which indicated that the CaDnaJs might be involved in the process of responding to complex stress conditions. In addition, expression profiles based on RNA-seq showed that the 47 CaDnaJs were expressed in at least one tissue tested. The result implied that they could be involved in the process of pepper growth and development. qRT-PCR analysis found that 80.60% (54/67 CaDnaJs were induced by HS, indicated that they could participated in pepper response to high temperature treatments. In conclusion, all these results would provide a comprehensive basis for further analyzing the function of CaDnaJ members and be also significant for elucidating the evolutionary relationship in pepper.

  19. Expression profiles of microRNAs from lactating and non-lactating bovine mammary glands and identification of miRNA related to lactation

    Directory of Open Access Journals (Sweden)

    Li Zhen

    2012-12-01

    Full Text Available Abstract Background MicroRNAs (miRNAs have been implicated in the regulation of milk protein synthesis and development of the mammary gland (MG. However, the specific functions of miRNAs in these regulations are not clear. Therefore, the elucidation of miRNA expression profiles in the MG is an important step towards understanding the mechanisms of lactogenesis. Results Two miRNA libraries were constructed from MG tissues taken from a lactating and a non-lactating Holstein dairy cow, respectively, and the short RNA sequences (18–30 nt in these libraries were sequenced by Solexa sequencing method. The libraries included 885 pre-miRNAs encoding for 921 miRNAs, of which 884 miRNAs were unique sequences and 544 (61.5% were expressed in both periods. A custom-designed microarray assay was then performed to compare miRNA expression patterns in the MG of lactating and non-lactating dairy cows. A total of 56 miRNAs in the lactating MG showed significant differences in expression compared to non-lactating MG (P Conclusion Our study provides a broad view of the bovine MG miRNA expression profile characteristics. Eight hundred and eighty-four miRNAs were identified in bovine MG. Differences in types and expression levels of miRNAs were observed between lactating and non-lactating bovine MG. Systematic predictions aided in the identification of lactation-related miRNAs, providing insight into the types of miRNAs and their possible mechanisms in regulating lactation.

  20. Genome-wide identification and transcriptional profiling analysis of auxin response-related gene families in cucumber.

    Science.gov (United States)

    Wu, Jian; Liu, Songyu; Guan, Xiaoyan; Chen, Lifei; He, Yanjun; Wang, Jie; Lu, Gang

    2014-04-08

    Auxin signaling has a vital function in the regulation of plant growth and development, both which are known to be mediated by auxin-responsive genes. So far, significant progress has been made toward the identification and characterization of auxin-response genes in several model plants, while no systematic analysis for these families was reported in cucumber (Cucumis sativus L.), a reference species for Cucurbitaceae crops. The comprehensive analyses will help design experiments for functional validation of their precise roles in plant development and stress responses. A genome-wide search for auxin-response gene homologues identified 16 auxin-response factors (ARFs), 27 auxin/indole acetic acids (Aux/IAAs), 10 Gretchen Hagen 3 (GH3s), 61 small auxin-up mRNAs (SAURs), and 39 lateral organ boundaries (LBDs) in cucumber. Sequence analysis together with the organization of putative motifs indicated the potential diverse functions of these five auxin-related family members. The distribution and density of auxin response-related genes on chromosomes were not uniform. Evolutionary analysis showed that the chromosomal segment duplications mainly contributed to the expansion of the CsARF, CsIAA, CsGH3, and CsLBD gene families. Quantitative real-time RT-PCR analysis demonstrated that many ARFs, AUX/IAAs, GH3s, SAURs, and LBD genes were expressed in diverse patterns within different organs/tissues and during different development stages. They were also implicated in IAA, methyl jasmonic acid, or salicylic acid response, which is consistent with the finding that a great number of diverse cis-elements are present in their promoter regions involving a variety of signaling transduction pathways. Genome-wide comparative analysis of auxin response-related family genes and their expression analysis provide new evidence for the potential role of auxin in development and hormone response of plants. Our data imply that the auxin response genes may be involved in various vegetative

  1. Prospective evaluation of the chromogenic medium CandiSelect 4 for differentiation and presumptive identification of non-Candida albicans Candida species.

    Science.gov (United States)

    Zhao, Liang; de Hoog, G Sybren; Cornelissen, Akke; Lyu, Qian; Mou, Lili; Liu, Taohua; Cao, Yu; Vatanshenassan, Mansoureh; Kang, Yingqian

    2016-02-01

    Rapid identification of pathogenic yeasts is a crucial step in timely and appropriate antifungal therapy. For diagnostics in the clinical laboratory, simplified alternatives to barcoding are needed. CandiSelect 4 (CS4) medium, a chromogenic medium for isolation of clinical yeasts, allows routine recognition of Candida albicans and presumptive identification of Candida tropicalis, Candida glabrata, and Candida krusei. We evaluated an extension of this method with 46 non-Candida albicans Candida (NCAC) and 7 Malassezia species. The medium supported growth of all species tested and a wide diversity of cultural types were observed. Colony colours were in violet, turquoise (including green and blue), or white tinges. Eight NCAC species produced violet pigmentation similar to that of C. albicans. Most NCAC species, including C. glabrata and C. tropicalis were distributed in the turquoise group. Malassezia species were invariably blue. Copyright © 2015 The British Mycological Society. Published by Elsevier Ltd. All rights reserved.

  2. Genome-wide identification and expression profiling of tomato Hsp20 gene family in response to biotic and abiotic stresses

    Directory of Open Access Journals (Sweden)

    jiahong yu

    2016-08-01

    Full Text Available The Hsp20 genes are involved in the response of plants to environment stresses including heat shock and also play a vital role in plant growth and development. They represent the most abundant small heat shock proteins (sHsps in plants, but little is known about this family in tomato (Solanum lycopersicum, an important vegetable crop in the world. Here, we characterized heat shock protein 20 (SlHsp20 gene family in tomato through integration of gene structure, chromosome location, phylogenetic relationship and expression profile. Using bioinformatics-based methods, we identified at least 42 putative SlHsp20 genes in tomato. Sequence analysis revealed that most of SlHsp20 genes possessed no intron or a relatively short intron in length. Chromosome mapping indicated that inter-arm and intra-chromosome duplication events contributed remarkably to the expansion of SlHsp20 genes. Phylogentic tree of Hsp20 genes from tomato and other plant species revealed that SlHsp20 genes were grouped into 13 subfamilies, indicating that these genes may have a common ancestor that generated diverse subfamilies prior to the mono-dicot split. In addition, expression analysis using RNA-seq in various tissues and developmental stages of cultivated tomato and the wild relative Solanum pimpinellifolium revealed that most of these genes (83% were expressed in at least one stage from at least one genotype. Out of 42 genes, 4 genes were expressed constitutively in almost all the tissues analyzed, implying that these genes might have specific housekeeping function in tomato cell under normal growth conditions. Two SlHsp20 genes displayed differential expression levels between cultivated tomato and S. pimpinellifolium in vegetative (leaf and root and reproductive organs (floral bud and flower, suggesting inter-species diversification for functional specialization during the process of domestication. Based on genome-wide microarray analysis, we showed that the transcript

  3. Identification of microRNA biomarkers in the blood of breast cancer patients based on microRNA profiling.

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    Zhang, Kai; Wang, Ya-Wen; Wang, Yan-Yan; Song, Yu; Zhu, Jiang; Si, Peng-Chao; Ma, Rong

    2017-07-01

    Accumulating evidence indicates that human circulating microRNAs (miRNAs) could serve as diagnostic and prognostic biomarkers in various cancers. We aimed to explore novel miRNA biomarkers in the blood of breast cancer patients based on miRNA profiling. A miRCURY™ LNA Array was used to identify differentially altered miRNAs in the whole blood of breast cancer patients (n=6) and healthy controls (n=6). Levels of candidate miRNAs were quantified by quantitative reverse transcription-polymerase chain reaction (qRT-PCR) in whole blood specimens of 15 breast cancer patients and 13 age-matched healthy control individuals. The miRWalk database was used to predict miRNA targets and the DAVID tool was used to identify significant enrichment pathways. A total of 171 differentially expressed miRNAs were identified by microarray, including 169 upregulated and 2 downregulated miRNAs in breast cancer. Five upregulated miRNAs (miR-30b-5p, miR-96-5p, miR-182-5p, miR-374b-5p, and miR-942-5p) were confirmed by qRT-PCR. The areas under the receiver operating characteristic curve of miR-30b-5p, miR-96-5p, miR-182-5p, miR-374b-5p, and miR-942-5p were 0.9333, 0.7692, 0.7590, 0.8256, and 0.8128, respectively. Importantly, upregulation of these five miRNAs was observed even in patients with very early-stage breast cancer. A total of 855 genes were predicted to be targeted by the five miRNAs, and the one cut domain family member 2 gene (ONECUT2) was a shared target of the five miRNAs. Analysis of publicly available data revealed that these dysregulated miRNAs and the target genes were associated with the survival of breast cancer patients. Furthermore, the five miRNAs were significantly enriched in numerous cancer-related pathways, including "MicroRNAs in cancer", "Pathways in cancer", "FoxO signaling pathway", "Ras signaling pathway", "Rap1 signaling pathway", "MAPK signaling pathway", and "PI3K-Akt signaling pathway". Our data support the potential of the five identified miRNAs as

  4. Urinary protein excretion profile: A contribution for subclinical renal damage identification among environmental heavy metals exposure in Southeast Brazil

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    Garlipp, C. R.; Bottini, P. V.; de Capitan, E. M.; Pinho, M. C.; Panzan, A. D. N.; Sakuma, A. M. A.; Paoliello, M. B.

    2003-05-01

    In Southeast Brazil. Ribeira Valley region has been a major public health concern due to he environmental heavy metals contamination indexes of vegetation, rocks and aquifers, caused by locai mining in the past. Human contamination low levels of heavy rnetals doesn't cause acute intoxication but ni chronic exposure, renal damage may occur with progressive tubuJointerstitial changes evolvil1g to glomemlar 1esiol1, ln this stndy we invesligated the relationship between thc profile of utillan, excreted proteins (glomerular or lubular origin) of arsenic and mercury and blood lead concentration in chiJdren and adults from highly e) qJosed regions of the Ribeira Valley. The subjects were classieed as GROUP 1 (GI; higher environmental risk n=333) and GROUP 2 (G2; lower risk of contamination. n=104). In order to determine the urinary excretion of total protein, albumin (MA, glomerular marker) and alpha i microglobulin (AIM, tubular marker) and the blood lead concentrations. random wine and blood samples were obtaiiied. Plasmatic lead levels were assessed by atomic absorption spectrometty with graphite fumace. Totai protein concentration (PROT) was assessed on a biochemical analyzer ,progallol red method). MA and AIM were determined by nephelometric method. Croup 1 showcd a higher frequency of altered urinary excretion of PROT (GI=3.4%; G2=1.0%), MA (Gl=9.0%; G2=5.1%) and AIM (Gt=7.5%, G2=3.8%), without significant differences between both groups. Elevated arscnic levels were more prevaient among subjects from Group 1 (2.8.8%) and demonstrated a significant corrolation with abiiormal iirinarv excretion of ilbumin and alpha-l-micrglobulin (p=0.019).Leadaand mercury levels showed no difference among the groups and no correlation will MAa and/or M. Oti-c dala suggests that abnormal itrinary protein excretion is relatively frequent in this population independently of the plasmatic or urinaryl heavy metal levels. The early detection of possible renal damage become necessary for

  5. Genome-Wide Identification, Evolutionary Expansion, and Expression Profile of Homeodomain-Leucine Zipper Gene Family in Poplar (Populus trichocarpa)

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    Hu, Ruibo; Chi, Xiaoyuan; Chai, Guohua; Kong, Yingzhen; He, Guo; Wang, Xiaoyu; Shi, Dachuan; Zhang, Dongyuan; Zhou, Gongke

    2012-01-01

    Background Homeodomain-leucine zipper (HD-ZIP) proteins are plant-specific transcriptional factors known to play crucial roles in plant development. Although sequence phylogeny analysis of Populus HD-ZIPs was carried out in a previous study, no systematic analysis incorporating genome organization, gene structure, and expression compendium has been conducted in model tree species Populus thus far. Principal Findings In this study, a comprehensive analysis of Populus HD-ZIP gene family was performed. Sixty-three full-length HD-ZIP genes were found in Populus genome. These Populus HD-ZIP genes were phylogenetically clustered into four distinct subfamilies (HD-ZIP I–IV) and predominately distributed across 17 linkage groups (LG). Fifty genes from 25 Populus paralogous pairs were located in the duplicated blocks of Populus genome and then preferentially retained during the sequential evolutionary courses. Genomic organization analyses indicated that purifying selection has played a pivotal role in the retention and maintenance of Populus HD-ZIP gene family. Microarray analysis has shown that 21 Populus paralogous pairs have been differentially expressed across different tissues and under various stresses, with five paralogous pairs showing nearly identical expression patterns, 13 paralogous pairs being partially redundant and three paralogous pairs diversifying significantly. Quantitative real-time RT-PCR (qRT-PCR) analysis performed on 16 selected Populus HD-ZIP genes in different tissues and under both drought and salinity stresses confirms their tissue-specific and stress-inducible expression patterns. Conclusions Genomic organizations indicated that segmental duplications contributed significantly to the expansion of Populus HD-ZIP gene family. Exon/intron organization and conserved motif composition of Populus HD-ZIPs are highly conservative in the same subfamily, suggesting the members in the same subfamilies may also have conservative functionalities

  6. Genome-wide identification, evolutionary expansion, and expression profile of homeodomain-leucine zipper gene family in poplar (Populus trichocarpa.

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    Ruibo Hu

    Full Text Available BACKGROUND: Homeodomain-leucine zipper (HD-ZIP proteins are plant-specific transcriptional factors known to play crucial roles in plant development. Although sequence phylogeny analysis of Populus HD-ZIPs was carried out in a previous study, no systematic analysis incorporating genome organization, gene structure, and expression compendium has been conducted in model tree species Populus thus far. PRINCIPAL FINDINGS: In this study, a comprehensive analysis of Populus HD-ZIP gene family was performed. Sixty-three full-length HD-ZIP genes were found in Populus genome. These Populus HD-ZIP genes were phylogenetically clustered into four distinct subfamilies (HD-ZIP I-IV and predominately distributed across 17 linkage groups (LG. Fifty genes from 25 Populus paralogous pairs were located in the duplicated blocks of Populus genome and then preferentially retained during the sequential evolutionary courses. Genomic organization analyses indicated that purifying selection has played a pivotal role in the retention and maintenance of Populus HD-ZIP gene family. Microarray analysis has shown that 21 Populus paralogous pairs have been differentially expressed across different tissues and under various stresses, with five paralogous pairs showing nearly identical expression patterns, 13 paralogous pairs being partially redundant and three paralogous pairs diversifying significantly. Quantitative real-time RT-PCR (qRT-PCR analysis performed on 16 selected Populus HD-ZIP genes in different tissues and under both drought and salinity stresses confirms their tissue-specific and stress-inducible expression patterns. CONCLUSIONS: Genomic organizations indicated that segmental duplications contributed significantly to the expansion of Populus HD-ZIP gene family. Exon/intron organization and conserved motif composition of Populus HD-ZIPs are highly conservative in the same subfamily, suggesting the members in the same subfamilies may also have conservative

  7. Comparison of oral microbial profiles between children with severe early childhood caries and caries-free children using the human oral microbe identification microarray.

    Science.gov (United States)

    Ma, Chen; Chen, Feng; Zhang, Yifei; Sun, Xiangyu; Tong, Peiyuan; Si, Yan; Zheng, Shuguo

    2015-01-01

    Early childhood caries (ECC) has become a prevalent public health problem among Chinese preschool children. The bacterial microflora is considered to be an important factor in the formation and progress of dental caries. However, high-throughput and large-scale studies of the primary dentition are lacking. The present study aimed to compare oral microbial profiles between children with severe ECC (SECC) and caries-free children. Both saliva and supragingival plaque samples were obtained from children with SECC (n = 20) and caries-free children (n = 20) aged 3 to 4 years. The samples were assayed using the Human Oral Microbe Identification Microarray (HOMIM). A total of 379 bacterial species were detected in both the saliva and supragingival plaque samples from all children. Thirteen (including Streptococcus) and two (Streptococcus and Actinomyces) bacterial species in supragingival plaque and saliva, respectively, showed significant differences in prevalence between the two groups. Of these, the frequency of Streptococcus mutans detection was significantly higher in both saliva (p = 0.026) and plaque (p = 0.006) samples from the SECC group than in those from the caries-free group. The findings of our study revealed differences in the oral microbiota between the SECC and caries-free groups Several genera, including Streptococcus, Porphyromonas, and Actinomyces, are strongly associated with SECC and can be potential biomarkers of dental caries in the primary dentition.

  8. High-resolution hyaluronidase inhibition profiling combined with HPLC-HRMS-SPE-NMR for identification of anti-necrosis constituents in Chinese plants used to treat snakebite.

    Science.gov (United States)

    Liu, Yueqiu; Staerk, Dan; Nielsen, Mia N; Nyberg, Nils; Jäger, Anna K

    2015-11-01

    Inhibition of the necrotizing hyaluronidase, phospholipase A2 and protease enzymes in four snake venoms by crude water and ethanol extracts of 88 plant species used against snakebites in traditional Chinese medicine was measured. High-resolution hyaluronidase inhibition profiles were constructed for the 22 plants showing highest hyaluronidase inhibition, and the results were used to guide subsequent structural analysis towards specific hyaluronidase inhibitors. Structural analysis was performed by high-performance liquid chromatography, high-resolution mass spectrometry, solid-phase extraction and nuclear magnetic resonance spectroscopy, i.e., HPLC-HRMS-SPE-NMR. This allowed identification of four non-tannin inhibitors, i.e., lansiumamide B (6) from Clausena excavata Burm.f., myricetin 3-O-β-D-glucopyranoside (7) from Androsace umbellata (Lour.) Merr., and vitexin (8) and 4',7-dihydroxy-5-methoxyflavone-8-C-β-D-glucopyranoside (9) from Oxalis corniculata L. Absolute configuration of 2,3-dihydroxy-N-methyl-3-phenyl-N-[(Z)-styryl]propanamide (1) was determined using the Mosher method, which revealed two enantiomers, i.e., (2S,3R)-2,3-dihydroxy-N-methyl-3-phenyl-N-[(Z)-styryl]propanamide and (2R,3S)-2,3-dihydroxy-N-methyl-3-phenyl-N-[(Z)-styryl]propanamide with a ratio of 7:3. Copyright © 2015 Elsevier Ltd. All rights reserved.

  9. High-Resolution α-Glucosidase Inhibition Profiling Combined with HPLC-HRMS-SPE-NMR for Identification of Antidiabetic Compounds in Eremanthus crotonoides (Asteraceae).

    Science.gov (United States)

    Silva, Eder Lana E; Lobo, Jonathas Felipe Revoredo; Vinther, Joachim Møllesøe; Borges, Ricardo Moreira; Staerk, Dan

    2016-06-16

    α-Glucosidase inhibitors decrease the cleavage- and absorption rate of monosaccharides from complex dietary carbohydrates, and represent therefore an important class of drugs for management of type 2 diabetes. In this study, a defatted ethyl acetate extract of Eremanthus crotonoides leaves with an inhibitory concentration (IC50) of 34.5 μg/mL towards α-glucosidase was investigated by high-resolution α-glucosidase inhibition profiling combined with HPLC-HRMS-SPE-NMR. This led to identification of six α-glucosidase inhibitors, namely quercetin (16), trans-tiliroside (17), luteolin (19), quercetin-3-methyl ether (20), 3,5-di-O-caffeoylquinic acid n-butyl ester (26) and 4,5-di-O-caffeoylquinic acid n-butyl ester (29). In addition, nineteen other metabolites were identified. The most active compounds were the two regioisomeric di-O-caffeoylquinic acid derivatives 26 and 29, with IC50 values of 5.93 and 5.20 μM, respectively. This is the first report of the α-glucosidase inhibitory activity of compounds 20, 26, and 29, and the findings support the important role of Eremanthus species as novel sources of new drugs and/or herbal remedies for treatment of type 2 diabetes.

  10. High-Resolution Inhibition Profiling Combined with HPLC-HRMS-SPE-NMR for Identification of PTP1B Inhibitors from Vietnamese Plants

    Directory of Open Access Journals (Sweden)

    Binh Thi Dieu Trinh

    2017-07-01

    Full Text Available Protein tyrosine phosphatase 1B (PTP1B plays a key role as a negative regulator in insulin signal transduction by deactivating the insulin receptor. Thus, PTP1B inhibition has emerged as a potential therapeutic strategy for curing insulin resistance. In this study, 40 extracts from 18 different plant species were investigated for PTP1B inhibitory activity in vitro. The most promising one, the EtOAc extract of Ficus racemosa, was investigated by high-resolution PTP1B inhibition profiling combined with HPLC-HRMS-SPE-NMR analysis. This led to the identification of isoderrone (1, derrone (2, alpinumisoflavone (3 and mucusisoflavone B (4 as PTP1B inhibitors. IC50 of these compounds were 22.7 ± 1.7, 12.6 ± 1.6, 21.2 ± 3.8 and 2.5 ± 0.2 µM, respectively. Kinetics analysis revealed that these compounds inhibited PTP1B non-competitively with Ki values of 21.3 ± 2.8, 7.9 ± 1.9, 14.3 ± 2.0, and 3.0 ± 0.5 µM, respectively. These findings support the important role of F. racemosa as a novel source of new drugs and/or as a herbal remedy for treatment of type 2 diabetes.

  11. Hyphenated 3D-QSAR statistical model-scaffold hopping analysis for the identification of potentially potent and selective sigma-2 receptor ligands.

    Science.gov (United States)

    Floresta, Giuseppe; Rescifina, Antonio; Marrazzo, Agostino; Dichiara, Maria; Pistarà, Venerando; Pittalà, Valeria; Prezzavento, Orazio; Amata, Emanuele

    2017-10-20

    A 3D quantitative structure-activity relationship (3D-QSAR) model for predicting the σ2 receptor affinity has been constructed with the aim of providing a useful tool for the identification, design, and optimization of novel σ2 receptor ligands. The model has been built using a set of 500 selective σ2 receptor ligands recovered from the sigma-2 receptor selective ligand database (S2RSLDB) and developed with the software Forge. The present model showed high statistical quality as confirmed by its robust predictive potential and satisfactory descriptive capability. The drawn up 3D map allows for a prompt visual comprehension of the electrostatic, hydrophobic, and shaping features underlying σ2 receptor ligands interaction. A theoretic approach for the generation of new lead compounds with optimized σ2 receptor affinity has been performed by means of scaffold hopping analysis. Obtained results further confirmed the validity of our model being some of the identified moieties have already been successfully employed in the development of potent σ2 receptor ligands. For the first time is herein reported a 3D-QSAR model which includes a number of chemically diverse σ2 receptor ligands and well accounts for the individual ligands affinities. These features will ensure prospectively advantageous applications to speed up the identification of new potent and selective σ2 receptor ligands. Copyright © 2017 Elsevier Masson SAS. All rights reserved.

  12. Attitudes and practices of surgery residency program directors toward the use of social networking profiles to select residency candidates: a nationwide survey analysis.

    Science.gov (United States)

    Go, Pauline H; Klaassen, Zachary; Chamberlain, Ronald S

    2012-01-01

    To determine whether residency program directors (PDs) of general surgery and surgical subspecialties review social networking (SN) websites during resident selection. A 16-question survey was distributed via e-mail (Survey Monkey, Palo Alto, California) to 641 PDs of general surgery and surgical subspecialty residency programs accredited by the Accreditation Council for Graduate Medical Education (ACGME). Institutions with ACGME-accredited general surgery and surgical subspecialty residency programs. PDs of ACGME-accredited general surgery and surgical subspecialty residency programs. Two hundred fifty (39%) PDs completed the survey. Seventeen percent (n = 43) of respondents reported visiting SN websites to gain more information about an applicant during the selection process, leading 14 PDs (33.3%) to rank an applicant lower after a review of their SN profile. PDs who use SN websites currently are likely to continue (69%), whereas those who do not use SN currently might do so in the future (yes 5.4%, undecided 44.6%). Online profiles displayed on SN websites provide surgery PDs with an additional avenue with which to evaluate highly competitive residency applicants. Applicants should be aware of the expansion of social media into the professional arena and the increasing use of these tools by PDs. SN profiles should reflect the professional standards to which physicians are held while highlighting an applicant's strengths and academic achievements. Copyright © 2012 Association of Program Directors in Surgery. Published by Elsevier Inc. All rights reserved.

  13. Sliding window analyses for optimal selection of mini-barcodes, and application to 454-pyrosequencing for specimen identification from degraded DNA.

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    Stephane Boyer

    Full Text Available DNA barcoding remains a challenge when applied to diet analyses, ancient DNA studies, environmental DNA samples and, more generally, in any cases where DNA samples have not been adequately preserved. Because the size of the commonly used barcoding marker (COI is over 600 base pairs (bp, amplification fails when the DNA molecule is degraded into smaller fragments. However, relevant information for specimen identification may not be evenly distributed along the barcoding region, and a shorter target can be sufficient for identification purposes. This study proposes a new, widely applicable, method to compare the performance of all potential 'mini-barcodes' for a given molecular marker and to objectively select the shortest and most informative one. Our method is based on a sliding window analysis implemented in the new R package SPIDER (Species IDentity and Evolution in R. Th