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Sample records for cdna microarray profiling

  1. Radioactive cDNA microarray (II): Gene expression profiling of antidepressant treatment by human cDNA microarray

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    Lee, Ji Hye; Kang, Rhee Hun; Ham, Byung Joo; Lee, Min Su; Shin, Kyung Ho; Choe, Jae Gol; Kim, Meyoung Kon [College of Medicine, Univ. of Korea, Seoul (Korea, Republic of)

    2003-07-01

    Major depressive disorder is a prevalent psychiatric disorder in primary care, associated with impaired patient functioning and well-being. Fluoxetine is a selective serotonin-reuptake inhibitors (SSRIs) and is a commonly prescribed antidepressant compound. Its action is primarily attributed to selective inhibition of the reuptake of serotonin (5-hydroxytryptamine) in the central nervous system. Objectives ; the aims of this study were two-fold: (1) to determine the usefulness for investigation of the transcription profiles in depression patients, and (2) to assess the differences in gene expression profiles between positive response group and negative response groups by fluoxetine treatment. This study included 53 patients with major depression (26 in positive response group with antidepressant treatment, 27 in negative response group with antidepressant treatment), and 53 healthy controls. To examine the difference of gene expression profile in depression patients, radioactive complementary DNA microarrays were used to evaluate changes in the expression of 1,152 genes in total. Using 33p-labeled probes, this method provided highly sensitive gene expression profiles including brain receptors, drug metabolism, and cellular signaling. Gene transcription profiles were classified into several categories in accordance with the antidepressant gene-regulation. The gene profiles were significantly up-(22 genes) and down-(16 genes) regulated in the positive response group when compared to the control group. Also, in the negative response group, 35 genes were up-regulated and 8 genes were down-regulated when compared to the control group. Consequently, we demonstrated that radioactive human cDNA microarray is highly likely to be an efficient technology for evaluating the gene regulation of antidepressants, such as selective serotonin-reuptake inhibitors (SSRIs), by using high-throughput biotechnology.

  2. Radioactive cDNA microarray (II): Gene expression profiling of antidepressant treatment by human cDNA microarray

    International Nuclear Information System (INIS)

    Major depressive disorder is a prevalent psychiatric disorder in primary care, associated with impaired patient functioning and well-being. Fluoxetine is a selective serotonin-reuptake inhibitors (SSRIs) and is a commonly prescribed antidepressant compound. Its action is primarily attributed to selective inhibition of the reuptake of serotonin (5-hydroxytryptamine) in the central nervous system. Objectives ; the aims of this study were two-fold: (1) to determine the usefulness for investigation of the transcription profiles in depression patients, and (2) to assess the differences in gene expression profiles between positive response group and negative response groups by fluoxetine treatment. This study included 53 patients with major depression (26 in positive response group with antidepressant treatment, 27 in negative response group with antidepressant treatment), and 53 healthy controls. To examine the difference of gene expression profile in depression patients, radioactive complementary DNA microarrays were used to evaluate changes in the expression of 1,152 genes in total. Using 33p-labeled probes, this method provided highly sensitive gene expression profiles including brain receptors, drug metabolism, and cellular signaling. Gene transcription profiles were classified into several categories in accordance with the antidepressant gene-regulation. The gene profiles were significantly up-(22 genes) and down-(16 genes) regulated in the positive response group when compared to the control group. Also, in the negative response group, 35 genes were up-regulated and 8 genes were down-regulated when compared to the control group. Consequently, we demonstrated that radioactive human cDNA microarray is highly likely to be an efficient technology for evaluating the gene regulation of antidepressants, such as selective serotonin-reuptake inhibitors (SSRIs), by using high-throughput biotechnology

  3. Gene expression profile analysis in astaxanthin-induced Haematococcus pluvialis using a cDNA microarray.

    Science.gov (United States)

    Eom, Hyunsuk; Lee, Choul-Gyun; Jin, EonSeon

    2006-05-01

    The unicellular green alga Haematococcus pluvialis (Volvocales) is known for the ketocarotenoid astaxanthin (3, 3'-dihydroxy-beta, beta-carotene-4, 4'-dione) accumulation, which is induced under unfavorable culture conditions. In this work, we used cDNA microarray analysis to screen differentially expressed genes in H. pluvialis under astaxanthin-inductive culture conditions, such as combination of cell exposure to high irradiance and nutrient deprivation. Among the 965 genes in the cDNA array, there are 144 genes exhibiting differential expression (twofold changes) under these conditions. A significant decrease in the expression of photosynthesis-related genes was shown in astaxanthin-accumulating cells (red cells). Defense- or stress-related genes and signal transduction genes were also induced in the red cells. A comparison of microarray and real-time PCR analysis showed good correlation between the differentially expressed genes by the two methods. Our results indicate that the cDNA microarray approach, as employed in this work, can be relied upon and used to monitor gene expression profiles in H. pluvialis. In addition, the genes that were differentially expressed during astaxanthin induction are suitable candidates for further study and can be used as tools for dissecting the molecular mechanism of this unique pigment accumulation process in the green alga H. pluvialis. PMID:16320067

  4. Analysis of gene expression profile of pancreatic carcinoma using CDNA microarray

    Institute of Scientific and Technical Information of China (English)

    ZhiJun Tan; Xian-Gui Hu; Gui-Song Cao; Yan Tang

    2003-01-01

    AIM: To identify new diagnostic markers and drug targets,the gene expression profiles of pancreatic cancer were compared with that of adjacent normal tissues utilizing cDNA microarray analysis.METHODS: cDNA probes were prepared by labeling mRNA from samples of six pancreatic carcinoma tissues with Cy5dUTP and mRNA from adjacent normal tissues with Cy3dUTP respectively through reverse transcription. The mixed probes of each sample were then hybridized with 12 800cDNA arrays (12 648 unique human cDNA sequences), and the fluorescent signals were scanned by ScanArray 3 000scanner (General Scanning, Inc.). The values of CyS-dUTP and Cy3-dUTP on each spot were analyzed and calculated by ImaGene 3.0 software (BioDiscovery, Inc.). Differentially expressed genes were screened according to the criterion that the absolute value of natural logarithm of the ratio of Cy5-dUTP to Cy3-dUTP was greater-than 0.69.RESETS: Among 6 samples investigated, 301 genes, which accounted for 2.38% of genes on the microarry slides,exhibited differentially expression at least in 5. There were 166 over-expressed genes including 136 having been registered in Genebank, and 135 under-expressed genes including 79 in Genebank in cancerous tissues.CONCLUSION: Microarray analysis may provide invaluable information on disease pathology, progression, resistance to treatment, and response to cellular microenvironments of pancreatic carcinoma and ultimately may lead to improving early diagnosis and discovering innovative therapeutic approaches for cancer.

  5. Analysis of Gene Expression Profile in Lung Adenosquamous Carcinoma Using cDNA Microarray

    Institute of Scientific and Technical Information of China (English)

    YANG Fei; YANG Jiong; JIANG Man; YE Bo; ZHANG Yu-xia; CHEN Hong-lei; XIA Dong; LIU Ming-qiu

    2004-01-01

    Gene expression profile of the lung adenosquamous carcinoma was characterized by using cDNA microarray chip containing 4 096 human genes. Among target genes, 508 differentially expressed genes were identified in adenosquamous carcinoma of the lung, 232 genes were overexpressed and 276 genes were underexpressed. Among them, 92 genes are cell signals transduction genes, 34 genes are proto-oncogenes and tumor suppressor genes or cell cycle related genes or cell apoptosis related genes, 29 genes are cell skeleton genes, 28 genes are DNA synthesis, repair and recombination genes, 12 genes are DNA binding and transcription genes. These genes may be associated with the occurence and development of adenosquamous carinome of the lung.

  6. Monitoring the Expression Profiles of Cereal Crops Seedlings by Using Rice cDNA Microarray

    Institute of Scientific and Technical Information of China (English)

    SUN Liang-xian; DONG Hai-tao; LI De-bao

    2004-01-01

    Through exploiting the high homology of cereal crop genes, membranous cDNA microarrays containing 3 311 unique rice transcripts (including 1 639 endosperm-derived transcripts and 1 672 mature stem-derived transcripts) were used for monitoring the expression profiles of 1-leaf stage seedlings of 4 cereal crop species: rice, maize, sorghum and barley. After hybridizing with [α-33p] labeled probes, 73.6 % of the arrayed genes generated reliable signals in all of the four cereal crops. Further analysis revealed that among the arrayed genes, a higher percentage of the endosperm-derived transcripts (86.6 %) expressed than that of the mature stem-derived genes (60.9 %), indicating that most of the endosperm expressed genes functioned in young seedlings while considerable amount of mature stem tissue expressed genes did not express. These results also inferred that some genes might function only at certain developmental stages. By comparing the obtained profiles, 84 genes were identified constantly expressed in all the four cereal crops. Many housekeeping genes, such as polyubiquitin, ubiquitin conjugating enzyme and ribosomal proteins were included in this catalogue. The experiment also identified 14 rice seedling specifically expressed genes, including 3 biotic and abiotic stress induced genes and 1 apoptosis suppressor encoding gene Bax inhibitor-1. This investigation provided invaluable information for comparative genomics of gramineae members.

  7. Monitoring the Expression Profiles of Cereal Crops Seedlings by Using Rice cDNA Microarray

    Institute of Scientific and Technical Information of China (English)

    SUNLiang-xian; DONGHai-tao; LIDe-bao

    2004-01-01

    Through exploiting the high homology of cereal crop genes, membranous cDNA microarrays containing 3311 unique rice transcripts (including 1 639 cndosperm-derived transcripts and 1 672 mature stem-derived transcripts) were used for monitoring the expression profiles of l-leaf stage seedlings of 4 cereal crop species: rice, maize, sorghum and barley. After hybridizing with [P] labeled probes, 73.6 % of the arrayed genes generated reliable signals in all of the four cereal crops. Further analysis revealed that among the arrayed genes, a higher percentage of the endosperm-derived transcripts (86.6%) expressed than that of the mature stem-derived genes (60.9 %), indicating that most of the endosperm expressed genes functioned in young seedlings whilc considerable amount of mature stem tissue expressed genes did not express. These results also inferred that some genes might function only at certain developmental stages. By comparing the obtained profdes, 84 genes were identified constantly expressed in all the four cereal crops. Many housekeeping genes, such as polyubiquitin, ubiquitin conjugating enzyme and ribosomal proteins were included in this catalogue. The experiment also identified 14 rice seedling specifically expressed genes, including 3 biotic and abiotic stress induced genes and 1 apoptosis suppressor encoding gene Bax inhibitor-1. This investigation provided invaluable information for comparative genomics of gramineae members.

  8. Characterization of ovine hepatic gene expression profiles in response to Escherichia coli lipopolysaccharide using a bovine cDNA microarray

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    Boermans Herman J

    2006-11-01

    Full Text Available Abstract Background During systemic gram-negative bacterial infections, lipopolysaccharide (LPS ligation to the hepatic Toll-like receptor-4 complex induces the production of hepatic acute phase proteins that are involved in the host response to infection and limit the associated inflammatory process. Identifying the genes that regulate this hepatic response to LPS in ruminants may provide insight into the pathogenesis of bacterial diseases and eventually facilitate breeding of more disease resistant animals. The objective of this research was to profile the expression of ovine hepatic genes in response to Escherichia coli LPS challenge (0, 200, 400 ng/kg using a bovine cDNA microarray and quantitative real-time PCR (qRT-PCR. Results Twelve yearling ewes were challenged iv with E. coli LPS (0, 200, 400 ng/kg and liver biopsies were collected 4–5 hours post-challenge to assess hepatic gene expression profiles by bovine cDNA microarray and qRT-PCR analyses. The expression of CD14, C3, IL12R, NRAMP1, SOD and IGFBP3 genes was down regulated, whereas the expression of ACTHR, IFNαR, CD1, MCP-1 and GH was increased during LPS challenge. With the exception of C3, qRT-PCR analysis of 7 of these genes confirmed the microarray results and demonstrated that GAPDH is not a suitable housekeeping gene in LPS challenged sheep. Conclusion We have identified several potentially important genes by bovine cDNA microarray and qRT-PCR analyses that are differentially expressed during the ovine hepatic response to systemic LPS challenge. Their potential role in regulating the inflammatory response to LPS warrants further investigation.

  9. Gene-expression profiling of human mononuclear cells from welders using cDNA microarray.

    Science.gov (United States)

    Rim, Kyung Taek; Park, Kun Koo; Kim, Yang Ho; Lee, Yong Hwan; Han, Jeong Hee; Chung, Yong Hyun; Yu, Il Je

    2007-08-01

    A toxicogenomic chip developed to detect welding-related diseases was tested and validated for field trials. To verify the suitability of the microarray, white blood cells (WBC) or whole blood was purified and characterized from 20 subjects in the control group (average work experience of 7 yr) and 20 welders in the welding-fume exposed group (welders with an average work experience of 23 yr). Two hundred and fifty-three rat genes homologous to human genes were obtained and spotted on the chip slide. Meanwhile, a human cDNA chip spotted with 8600 human genes was also used to detect any increased or decreased levels of gene expression among the welders. After comparing the levels of gene expression between the control and welder groups using the toxicogenomic chips, 103 genes were identified as likely to be specifically changed by welding-fume exposure. Eighteen of the 253 rat genes were specifically changed in the welders, while 103 genes from the human cDNA chip were specifically changed. The genes specifically expressed by the welders were associated with inflammatory responses, toxic chemical metabolism, stress proteins, transcription factors, and signal transduction. In contrast, there was no significant change in the genes related to short-term welding-fume exposure, such as tumor necrosis factor (TNF)-alpha and interleukin. In conclusion, if further validation studies are conducted, the present toxicogenomic gene chips could be used for the effective monitoring of welding-fume-exposure-related diseases among welders. PMID:17654244

  10. The Gene Expression Profile of D-galactose Induced Aging Model Rat Using cDNA Microarray

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    Li Min(李珉); Wang Gang; Zhang Wei; Wang Miqu; Zhang Yizheng

    2004-01-01

    In order to study the molecular mechanism of D-galactose induced aging model, cDNA microarray is used to analyze gene expression profiles of both normal and D-galactose induced aging model rats. D-galactose induced aging model rats are injected with D-galactose, while normal rats are injected with physiological saline as control. After 7 weeks, the two groups of rats are killed simultaneously. Their livers are harvested for genome-wide expression analysis. D-galactose treated rats showed changes in gene expression associated with increase or decrease in xenobiotic metabolism, protein metabolism and energy metabolism.

  11. Analysis of gene expression profile induced by EMP-1 in esophageal cancer cells using cDNA Microarray

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    Hai-Tao Wang; Jian-Ping Kong; Fang Ding; Xiu-Qin Wang; Ming-Rong Wang; Lian-Xin Liu; Min Wu; Zhi-Hua Liu

    2003-01-01

    AIM: To obtain human esophageal cancer cell EC9706 stably expressed epithelial membrane protein-1 (EMP-1) with integrated eukaryotic plasmid harboring the open reading frame (ORF) of human EMP-1, and then to study the mechanism by which EMP-1 exerts its diverse cellular action on cell proliferation and altered gene profile by exploring the effect of EMP-1.METHODS: The authors first constructed pcDNA3.1/mychis expression vector harboring the ORF of EMP-1 and then transfected it into human esophageal carcinoma cell line EC9706. The positive clones were analyzed by Western blot and RT-PCR. Moreover, the cell growth curve was observed and the cell cycle was checked by FACS technique. Using cDNA microarray technology, the authors compared the gene expression pattern in positive clones with control. To confirm the gene expression profile, semi-quantitative RT-PCR was carried out for 4 of the randomly picked differentially expressed genes. For those differentially expressed genes,classification was performed according to their function and cellular component.RESULTS: Human EMP-1 gene can be stably expressed in ECg706 cell line transfected with human EMP-1. The authors found the cell growth decreased, among which S phase was arrested and G1 phase was prolonged in the transfected positive clones. By cDNA microarray analysis, 35 genes showed an over 2.0 fold change in expression level after transfection, with 28 genes being consistently up-regulated and 7 genes being down-regulated. Among the classified genes, almost half of the induced genes (13 out of 28 genes) were related to cell signaling, cell communication and particularly to adhesion.CONCLUSION: Overexpression of human EMP-1 gene can inhibit the proliferation of EC9706 cell with S phase arrested and G1 phase prolonged. The cDNA microarray analysis suggested that EMP-1 may be one of regulators involved incell signaling, cell communication and adhesion regulators.

  12. Genome-wide expression profiling of the response to terbinafine in Candida albicans using a cDNA microarray analysis

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    ZENG Yue-bin; QIAN Yuan-shu; MA Lian; GU Hong-ni

    2007-01-01

    Background Candida albicans is the most frequently seen opportunistic human fungal pathogen. Terbinafine is an allylamine antifungal agent that has been proven to have high clinical efficacy in the therapy of fungal infections, the mechanism of action of terbinafine involves the specific inhibition of fungal squalene epoxidase, resulting in ergosterol deficiency and accumulation of intracellular squalene. We used cDNA microarray analysis technology to monitor global expression profile changes of Candida albicans genes in response to terbinafine treatment, and we anticipated a panoramic view of the responses of Candida albicans cells to the representatives of allylamine antifungal agents at the molecular level in an effort to identify drug class-specific and mechanism-independent changes in gene expression.Methods Candida albicans strain ATCC 90028 was exposed to either medium alone or terbinafine at a concentration equivalent to the 1/2 minimal inhibitory concentrations (MICs, 4 mg/L) for 90 minutes. RNA was isolated and gene expression profiles were compared to identify the changes in the gene expression profile using a cDNA microarray analysis. Differential expression of 10 select genes detected by cDNA microarray analysis was confirmed by semi-quantitative reverse transcription-polymerase chain reaction (RT-PCR).Results A total of 222 genes were found to be responsive to terbinafine, including 121 up-regulated genes and 101 down-regulated genes. These included genes encoding membrane transport proteins belonging to the members of the ATP-binding cassette (ABC) or major facilitator superfamily (MFS; CDR1, AGP2, GAP6, PHO84, HOL3, FCY23, VCX1),genes involved in stress response and detoxification (CDR1, AGP2, HOL3), and gene involved in the ergosterol biosynthesis pathway (ERG12). The results of semi-quantitative RT-PCR were consistent with that of the cDNA microarray analysis.Conclusions The up-regulation of the gene encoding the multidrug resistance efflux pump

  13. Gene expression profiling in Barrett's esophagus and cardia intestinal metaplasia:A comparative analysis using cDNA microarray

    Institute of Scientific and Technical Information of China (English)

    Ying Chang; Jun Gong; Bin Liu; Jun Zhang; Fei Dai

    2004-01-01

    AIM: To study the difference of gene expression profile changes in Barrett's esophagus (BE) and cardia intestinal metaplasia (CIM) and to screen the novel genes in the early stage by cDNA microarray.METHODS: cDNA retrotranscribed from an equal amount of mRNA from BE and CIM epithelial tissues was labeled with Cy3 and Cy5 fluorescence as probes. The mixed probe was hybridized with three pieces of BiostarH-40 s double dot human whole gene chip. The chips were scanned with a ScanArray 4000. The acquired images were analyzed using GenePix Pro 3.0 software.RESULTS: A total of 141 genes were screened out that exhibited different expression in all three chips. There were 74 upregulated and 67 downregulated genes in gene expression profiles of BE which were two times of that in CIM.CONCLUSION: There is a difference in gene expression level between BE and CIM epithelia. These 141 genes probably relate to the occurrence and development of BE and the progression to adenocarcinoma.

  14. Gene expression profile of esophageal cancer in North East India by cDNA microarray analysis

    Institute of Scientific and Technical Information of China (English)

    Indranil Chattopadhyay; Sujala Kapur; Joydeep Purkayastha; Rupkumar Phukan; Amal Kataki; Jagadish Mahanta; Sunita Saxena

    2007-01-01

    AIM: To identify alterations in genes and molecular functional pathways in esophageal cancer in a high incidence region of India where there is a widespread use of tobacco and betel quid with fermented areca nuts.METHODS: Total RNA was isolated from tumor and matched normal tissue of 16 patients with esophageal squamous cell carcinoma. Pooled tumor tissue RNA was labeled with Cy3-dUTP and pooled normal tissue RNA was labeled with Cy5-dUTP by direct labeling method.The labeled probes were hybridized with human 10K cDNA chip and expression profiles were analyzed by Genespring GX V 7.3 (Silicon Genetics).RESULTS: Nine hundred twenty three genes were differentially expressed. Of these, 611 genes were upregulated and 312 genes were downregulated. Using stringent criteria (P ≤ 0.05 and ≥ 1.5 fold change),127 differentially expressed genes (87 upregulated and 40 downregulated) were identified in tumor tissue. On the basis of Gene Ontology, four different molecular functional pathways (MAPK pathway,G-protein coupled receptor family, ion transport activity,and serine or threonine kinase activity) were most significantly upregulated and six different molecular functional pathways (structural constituent of ribosome,endopeptidase inhibitor activity, structural constituent of cytoskeleton, antioxidant activity, acyl group transferase activity, eukaryotic translation elongation factor activity)were most significantly downregulated.CONCLUSION: Several genes that showed alterations in our study have also been reported from a high incidence area of esophageal cancer in China. This indicates that molecular profiles of esophageal cancer in these two different geographic locations are highly consistent.

  15. Gene expression profiling of Spodoptera frugiperda hemocytes and fat body using cDNA microarray reveals polydnavirus-associated variations in lepidopteran host genes transcript levels

    OpenAIRE

    Barat-Houari, M; Hilliou, F.; Jousset, F-X; Sofer, L; Deleury, E.; Rocher, J.; Ravallec, M.; Galibert, L; Delobel, P; Feyereisen, R.; Fournier, P.; Volkoff, A-N.

    2006-01-01

    Background Genomic approaches provide unique opportunities to study interactions of insects with their pathogens. We developed a cDNA microarray to analyze the gene transcription profile of the lepidopteran pest Spodoptera frugiperda in response to injection of the polydnavirus HdIV associated with the ichneumonid wasp Hyposoter didymator. Polydnaviruses are associated with parasitic ichneumonoid wasps and are required for their development within the lepidopteran host, in which they act as p...

  16. Monitoring expression profiles of rice (Oryza sativa L.) genes under abiotic stresses using cDNA Microarray Analysis (abstract)

    International Nuclear Information System (INIS)

    Transcript regulation in response to cold, drought, high salinity and ABA application was investigated in rice (Oryza sativa L., Nipponbare) with microarray analysis including approx. 1700 independent DNA elements derived from three cDNA libraries constructed from 15-day old rice seedlings stressed with drought, cold and high salinity. A total of 141 non-redundant genes were identified, whose expression ratios were more than three-fold compared with the control genes for at least one of stress treatments in microarray analysis. However, after RNA gel blot analysis, a total of 73 genes were identified, among them the transcripts of 36, 62, 57 and 43 genes were found increased after cold, drought, high salinity and ABA application, respectively. Sixteen of these identified genes have been reported previously to be stress inducible in rice, while 57 of which are novel that have not been reported earlier as stress responsive in rice. We observed a strong association in the expression patterns of stress responsive genes and found 15 stress inducible genes that responded to all four treatments. Based on Venn diagram analysis, 56 genes were induced by both drought and high salinity, whereas 22 genes were upregulated by both cold and high salinity stress. Similarly 43 genes were induced by both drought stress and ABA application, while only 17 genes were identified as cold and ABA inducible genes. These results indicated the existence of greater cross talk between drought, ABA and high salinity stress signaling processes than those between cold and ABA, and cold and high salinity stress signaling pathways. The cold, drought, high salinity and ABA inducible genes were classified into four gene groups from their expression profiles. Analysis of data enabled us to identify a number of promoters and possible cis-acting DNA elements of several genes induced by a variety of abiotic stresses by combining expression data with genomic sequence data of rice. Comparative analysis of

  17. Biomphalaria glabrata transcriptome: cDNA microarray profiling identifies resistant- and susceptible-specific gene expression in haemocytes from snail strains exposed to Schistosoma mansoni

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    Rollinson David

    2008-12-01

    and copine 1, cytoplasmic intermediate filament (IF protein and transcription enzymes such as elongation factor 1α and EF-2. Conclusion Production of the first cDNA microarray for profiling gene expression in B. glabrata provides a foundation for expanding our understanding of pathways and genes involved in the snail internal defence system (IDS. We demonstrate resistant strain-specific expression of genes potentially associated with the snail IDS, ranging from signalling and inflammation responses through to lysis of proteinacous products (encapsulated sporocysts or phagocytosed parasite components and processing/degradation of these targeted products by ubiquitination.

  18. Genetic profile of Egyptian hepatocellular-carcinoma associated with hepatitis C virus Genotype 4 by 15 K cDNA microarray: Preliminary study

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    Mansour Tarek

    2008-10-01

    Full Text Available Abstract Background Hepatocellular carcinoma (HCC is a preventable disease rather than a curable one, since there is no well-documented effective treatment modality until now, making the molecular study of this disease mandatory. Findings We studied gene expression profile of 17 Egyptian HCC patients associated with HCV genotype-4 infection by c-DNA microarray. Out of the 15,660 studied genes, 446 were differentially expressed; 180 of them were up regulated and 134 were down regulated. Seventeen genes out of the 180 up-regulated genes are involved in 28 different pathways. Protein phosphatase 3 (PPP3R1 is involved in 10 different pathways followed by fibroblast growth factor receptor 1 (FGFR1, Cas-Br-M ecotropic retroviral transforming sequence b (CBLB, spleen tyrosine kinase (SYK involved in three pathways; bone morphogenetic protein 8a (BMP8A, laminin alpha 3 (LAMA3, cell division cycle 23 (CDC23 involved in 2 pathways and NOTCH4 which regulate Notch signaling pathway. On the other hand, 25 out of the 134 down-regulated genes are involved in 20 different pathways. Integrin alpha V alpha polypeptide antigen CD51 (ITGVA is involved in 4 pathways followed by lymphotoxin alpha (TNF superfamily, member 1 (LTA involved in 3 pathways and alpha-2-macroglobulin (A2M, phosphorylase kinase alpha 2-liver (PHKA2 and MAGI1 membrane associated guanylate kinase 1 (MAGI1 involved in 2 pathways. In addition, 22 genes showed significantly differential expression between HCC cases with cirrhosis and without cirrhosis. Confirmation analysis was performed on subsets of these genes by RT-PCR, including some up-regulated genes such as CDK4, Bax, NOTCH4 and some down-regulated genes such as ISGF3G, TNF, and VISA. Conclusion This is the first preliminary study on gene expression profile in Egyptian HCC patients associated with HCV-Genotype-4 using the cDNA microarray. The identified genes could provide a new gate for prognostic and diagnostic markers for HCC associated

  19. Gene expression profiling of Spodoptera frugiperda hemocytes and fat body using cDNA microarray reveals polydnavirus-associated variations in lepidopteran host genes transcript levels

    Directory of Open Access Journals (Sweden)

    Feyereisen R

    2006-06-01

    Full Text Available Abstract Background Genomic approaches provide unique opportunities to study interactions of insects with their pathogens. We developed a cDNA microarray to analyze the gene transcription profile of the lepidopteran pest Spodoptera frugiperda in response to injection of the polydnavirus HdIV associated with the ichneumonid wasp Hyposoter didymator. Polydnaviruses are associated with parasitic ichneumonoid wasps and are required for their development within the lepidopteran host, in which they act as potent immunosuppressive pathogens. In this study, we analyzed transcriptional variations in the two main effectors of the insect immune response, the hemocytes and the fat body, after injection of filter-purified HdIV. Results Results show that 24 hours post-injection, about 4% of the 1750 arrayed host genes display changes in their transcript levels with a large proportion (76% showing a decrease. As a comparison, in S. frugiperda fat body, after injection of the pathogenic JcDNV densovirus, 8 genes display significant changes in their transcript level. They differ from the 7 affected by HdIV and, as opposed to HdIV injection, are all up-regulated. Interestingly, several of the genes that are modulated by HdIV injection have been shown to be involved in lepidopteran innate immunity. Levels of transcripts related to calreticulin, prophenoloxidase-activating enzyme, immulectin-2 and a novel lepidopteran scavenger receptor are decreased in hemocytes of HdIV-injected caterpillars. This was confirmed by quantitative RT-PCR analysis but not observed after injection of heat-inactivated HdIV. Conversely, an increased level of transcripts was found for a galactose-binding lectin and, surprisingly, for the prophenoloxidase subunits. The results obtained suggest that HdIV injection affects transcript levels of genes encoding different components of the host immune response (non-self recognition, humoral and cellular responses. Conclusion This analysis of the

  20. cDNA microarray screening in food safety

    International Nuclear Information System (INIS)

    The cDNA microarray technology and related bioinformatics tools presents a wide range of novel application opportunities. The technology may be productively applied to address food safety. In this mini-review article, we present an update highlighting the late breaking discoveries that demonstrate the vitality of cDNA microarray technology as a tool to analyze food safety with reference to microbial pathogens and genetically modified foods. In order to bring the microarray technology to mainstream food safety, it is important to develop robust user-friendly tools that may be applied in a field setting. In addition, there needs to be a standardized process for regulatory agencies to interpret and act upon microarray-based data. The cDNA microarray approach is an emergent technology in diagnostics. Its values lie in being able to provide complimentary molecular insight when employed in addition to traditional tests for food safety, as part of a more comprehensive battery of tests

  1. The effect of column purification on cDNA indirect labelling for microarrays

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    Kiss John Z

    2007-06-01

    Full Text Available Abstract Background The success of the microarray reproducibility is dependent upon the performance of standardized procedures. Since the introduction of microarray technology for the analysis of global gene expression, reproducibility of results among different laboratories has been a major problem. Two of the main contributors to this variability are the use of different microarray platforms and different laboratory practices. In this paper, we address the latter question in terms of how variation in one of the steps of a labelling procedure affects the cDNA product prior to microarray hybridization. Results We used a standard procedure to label cDNA for microarray hybridization and employed different types of column chromatography for cDNA purification. After purifying labelled cDNA, we used the Agilent 2100 Bioanalyzer and agarose gel electrophoresis to assess the quality of the labelled cDNA before its hybridization onto a microarray platform. There were major differences in the cDNA profile (i.e. cDNA fragment lengths and abundance as a result of using four different columns for purification. In addition, different columns have different efficiencies to remove rRNA contamination. This study indicates that the appropriate column to use in this type of protocol has to be experimentally determined. Finally, we present new evidence establishing the importance of testing the method of purification used during an indirect labelling procedure. Our results confirm the importance of assessing the quality of the sample in the labelling procedure prior to hybridization onto a microarray platform. Conclusion Standardization of column purification systems to be used in labelling procedures will improve the reproducibility of microarray results among different laboratories. In addition, implementation of a quality control check point of the labelled samples prior to microarray hybridization will prevent hybridizing a poor quality sample to expensive

  2. RECOGNITION OF CDNA MICROARRAY IMAGE USING FEEDFORWARD ARTIFICIAL NEURAL NETWORK

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    R. M. Farouk

    2014-09-01

    Full Text Available The complementary DNA (cDNA sequence considered the magic biometric technique for personal identification. Microarray image processing used for the concurrent genes identification. In this paper, we present a new method for cDNA recognition based on the artificial neural network (ANN. We have segmented the location of the spots in a cDNA microarray. Thus, a precise localization and segmenting of a spot are essential to obtain a more exact intensity measurement, leading to a more accurate gene expression measurement. The segmented cDNA microarray image resized and used as an input for the proposed artificial neural network. For matching and recognition, we have trained the artificial neural network. Recognition results are given for the galleries of cDNA sequences . The numerical results show that, the proposed matching technique is an effective in the cDNA sequences process. The experimental results of our matching approach using different databases shows that, the proposed technique is an effective matching performance.

  3. RECOGNITION OF CDNA MICROARRAY IMAGE USING FEEDFORWARD ARTIFICIAL NEURAL NETWORK

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    R. M. Farouk

    2014-07-01

    Full Text Available The complementary DNA (cDNA sequence considered th e magic biometric technique for personal identification. Microarray image processing used fo r the concurrent genes identification. In this pape r, we present a new method for cDNA recognition based on the artificial neural network (ANN. We have segmented the location of the spots in a cDNA micro array. Thus, a precise localization and segmenting of a spot are essential to obtain a more exact intensity measurement, leading to a more accurate gene expression measurement. The segmented cDNA microarr ay image resized and used as an input for the proposed artificial neural network. For matching an d recognition, we have trained the artificial neura l network. Recognition results are given for the gall eries of cDNA sequences . The numerical results sho w that, the proposed matching technique is an effecti ve in the cDNA sequences process. The experimental results of our matching approach using different da tabases shows that, the proposed technique is an effective matching performance.

  4. Chromosomal Localization of DNA Amplifications in Neuroblastoma Tumors Using cDNA Microarray Comparative Genomic Hybridization

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    Ben Beheshti

    2003-01-01

    Full Text Available Conventional comparative genomic hybridization (CGH profiling of neuroblastomas has identified many genomic aberrations, although the limited resolution has precluded a precise localization of sequences of interest within amplicons. To map high copy number genomic gains in clinically matched stage IV neuroblastomas, CGH analysis using a 19,200-feature cDNA microarray was used. A dedicated (freely available algorithm was developed for rapid in silico determination of chromosomal localizations of microarray cDNA targets, and for generation of an ideogram-type profile of copy number changes. Using these methodologies, novel gene amplifications undetectable by chromosome CGH were identified, and larger MYCN amplicon sizes (in one tumor up to 6 Mb than those previously reported in neuroblastoma were identified. The genes HPCAL1, LPIN1/KIAA0188, NAG, and NSE1/LOC151354 were found to be coamplified with MYCN. To determine whether stage IV primary tumors could be further subclassified based on their genomic copy number profiles, hierarchical clustering was performed. Cluster analysis of microarray CGH data identified three groups: 1 no amplifications evident, 2 a small MYCN amplicon as the only detectable imbalance, and 3 a large MYCN amplicon with additional gene amplifications. Application of CGH to cDNA microarray targets will help to determine both the variation of amplicon size and help better define amplification-dependent and independent pathways of progression in neuroblastoma.

  5. Using a cDNA microarray to study cellular gene expression altered by Mycobacterium tuberculosis

    Institute of Scientific and Technical Information of China (English)

    徐永忠; 谢建平; 李瑶; 乐军; 陈建平; 淳于利娟; 王洪海

    2003-01-01

    Objective To examine the global effects of Mycobacterium tuberculosis (M.tuberculosis) infection on macrophages. Methods The gene expression profiling of macrophage U937, in response to infection with M.tuberculosis H37Ra, was monitored using a high-density cDNA microarray. Results M.tuberculosis infection caused 463 differentially expressed genes, of which 366 genes are known genes registered in the Gene Bank. These genes function in various cellular processes including intracellular signalling, cytoskeletal rearrangement, apoptosis, transcriptional regulation, cell surface receptors, cell-mediated immunity as well as a variety of cellular metabolic pathways, and may play key roles in M.tuberculosis infection and intracellular survival. Conclusions M.tuberculosis infection alters the expression of host-cell genes, and these genes will provide a foundation for understanding the infection process of M.tuberculosis. The cDNA microarray is a powerful tool for studying pathogen-host cell interaction.

  6. Development of a porcine skeletal muscle cDNA microarray: analysis of differential transcript expression in phenotypically distinct muscles

    Directory of Open Access Journals (Sweden)

    Stear Michael

    2003-03-01

    Full Text Available Abstract Background Microarray profiling has the potential to illuminate the molecular processes that govern the phenotypic characteristics of porcine skeletal muscles, such as hypertrophy or atrophy, and the expression of specific fibre types. This information is not only important for understanding basic muscle biology but also provides underpinning knowledge for enhancing the efficiency of livestock production. Results We report on the de novo development of a composite skeletal muscle cDNA microarray, comprising 5500 clones from two developmentally distinct cDNA libraries (longissimus dorsi of a 50-day porcine foetus and the gastrocnemius of a 3-day-old pig. Clones selected for the microarray assembly were of low to moderate abundance, as indicated by colony hybridisation. We profiled the differential expression of genes between the psoas (red muscle and the longissimus dorsi (white muscle, by co-hybridisation of Cy3 and Cy5 labelled cDNA derived from these two muscles. Results from seven microarray slides (replicates correctly identified genes that were expected to be differentially expressed, as well as a number of novel candidate regulatory genes. Quantitative real-time RT-PCR on selected genes was used to confirm the results from the microarray. Conclusion We have developed a porcine skeletal muscle cDNA microarray and have identified a number of candidate genes that could be involved in muscle phenotype determination, including several members of the casein kinase 2 signalling pathway.

  7. Screening for candidate genes related to breast cancer with cDNA microarray analysis

    Institute of Scientific and Technical Information of China (English)

    Yu-Juan Xiang; Zhi-Gang Yu; Ming-Ming Guo; Qin-Ye Fu; Zhong-Bing Ma; De-Zong Gao; Qiang Zhang; Yu-Yang Li; Liang Li; Lu Liu; Chun-Miao Ye

    2015-01-01

    Objective: The aim of this study was to reveal the exact changes during the occurrence of breast cancer to explore significant new and promising genes or factors related to this disease. Methods: We compared the gene expression profiles of breast cancer tissues with its uninvolved normal breast tissues as controls using the cDNA microarray analysis in seven breast cancer patients. Further, one representative gene, named IFI30, was quanti-tatively analyzed by real-time PCR to confirm the result of the cDNA microarray analysis. Results: A total of 427 genes were identified with significantly differential expression, 221 genes were up-regulated and 206 genes were down-regulated. And the result of cDNA microarray analysis was validated by detection of IFI30 mRNA level changes by real-time PCR. Genes for cell proliferation, cell cycle, cell division, mitosis, apoptosis, and immune response were enriched in the up-regulated genes, while genes for cell adhesion, proteolysis, and transport were significantly enriched in the down-regulated genes in breast cancer tissues compared with normal breast tissues by a gene ontology analysis. Conclusion: Our present study revealed a range of differentially expressed genes between breast cancer tissues and normal breast tissues, and provide candidate genes for further study focusing on the pathogenesis and new biomarkers for breast cancer. Copyright © 2015, Chinese Medical Association Production. Production and hosting by Elsevier B.V. on behalf of KeAi Communications Co., Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

  8. ANALYSIS OF GENES ASSOCIATED WITH LYMPHATIC METASTASIS IN PANCREATIC CARCINOMA USING cDNA MICROARRAY

    Institute of Scientific and Technical Information of China (English)

    谭志军; 胡先贵; 曹贵松; 唐岩

    2003-01-01

    Objective: To identify new markers for prediction of lymph node metastasis. Methods: cDNA probes were prepared by labeling mRNA from samples of four pancreatic carcinoma tissues with Cy5-dUTP and mRNA from adjacent normal tissues with Cy3-dUTP respectively through reverse transcription. The mixed probes of each sample were then hybridized with 4,096 cDNA arrays (4,000 unique human cDNA sequences), and the fluorescent signals were scanned by ScanArray 3000 scanner (General Scanning, Inc.). The values of Cy5-dUTP and Cy3-dUTP on each spot were analyzed and calculated by ImaGene 3.0 software (BioDiscovery, Inc.). Genes that differentially expresses in each cancerous tissue were sought out according to the standard that the absolute value of natural logarithm of the ratio of Cy5 to Cy3 is greater than 0.69, i. e., more than 2 times change of gene expression, and the signal value of either Cy3 and Cy5 need to be greater than 600. Then, the genes differently expressed in cancer with and without lymphatic metastasis were screened out for further analysis. Results: Among 2 samples with lymphatic metastasis and 2 samples without metastasis, 56 genes, which accounted for 1.40% of genes on the microarray slides, exhibited differentially expression in cancerous tissues with lymphatic metastasis. There were 32 over-expressed genes including 11 having been registered in Genebank, and 24 under-expressed genes including 3 in Genebank. Conclusion: Microarray analysis may provide invaluable information to identify specific gene expression profile of lymphatic metastasis in pancreatic cancer.

  9. The microarray explorer tool for data mining of cDNA microarrays: application for the mammary gland.

    Science.gov (United States)

    Lemkin, P F; Thornwall, G C; Walton, K D; Hennighausen, L

    2000-11-15

    The Microarray Explorer (MAExplorer) is a versatile Java-based data mining bioinformatic tool for analyzing quantitative cDNA expression profiles across multiple microarray platforms and DNA labeling systems. It may be run as either a stand-alone application or as a Web browser applet over the Internet. With this program it is possible to (i) analyze the expression of individual genes, (ii) analyze the expression of gene families and clusters, (iii) compare expression patterns and (iv) directly access other genomic databases for clones of interest. Data may be downloaded as required from a Web server or in the case of the stand-alone version, reside on the user's computer. Analyses are performed in real-time and may be viewed and directly manipulated in images, reports, scatter plots, histograms, expression profile plots and cluster analyses plots. A key feature is the clone data filter for constraining a working set of clones to those passing a variety of user-specified logical and statistical tests. Reports may be generated with hypertext Web access to UniGene, GenBank and other Internet databases for sets of clones found to be of interest. Users may save their explorations on the Web server or local computer and later recall or share them with other scientists in this groupware Web environment. The emphasis on direct manipulation of clones and sets of clones in graphics and tables provides a high level of interaction with the data, making it easier for investigators to test ideas when looking for patterns. We have used the MAExplorer to profile gene expression patterns of 1500 duplicated genes isolated from mouse mammary tissue. We have identified genes that are preferentially expressed during pregnancy and during lactation. One gene we identified, carbonic anhydrase III, is highly expressed in mammary tissue from virgin and pregnant mice and in gene knock-out mice with underdeveloped mammary epithelium. Other genes, which include those encoding milk proteins

  10. Correlation Statistics for cDNA Microarray Image Analysis

    OpenAIRE

    Nagarajan, Radhakrishnan; Upreti, Meenakshi

    2005-01-01

    In this report, correlation of the pixels comprising a microarray spot is investigated. Subsequently, correlation statistics namely: Pearson correlation and Spearman rank correlation are used to segment the foreground and background intensity of microarray spots. The performance of correlation-based segmentation is compared to clustering-based (PAM, k-means) and seeded-region growing techniques (SPOT). It is shown that correlation-based segmentation is useful in flagging poorly hybridized spo...

  11. Study on Wusan Granule Anti-tumor Related Target Gene Screened by Cdna Microarray

    Institute of Scientific and Technical Information of China (English)

    YOU Zi-li; SHI Jin-ping; CHEN Hai-hong

    2006-01-01

    To screen Wusan Granule anti-tumor related target gene using cDNA microarray technique, both mRNA from Lewis lung carcinoma tissues treated by Wusan Granule and untreated control are reversibly transcribed to prepare cDNA probes which are labeled by Cy5 and Cy3. Then, the probes are hybridized to the mice cDNA microarray type MGEC-20S. After hybridization, the cDNA microarray is scanned by ScanArray 3 000 scanner and the data is analyzed by ImaGene 3 software to screen the differentially expressed genes. There are 45 differentially expressed genes including 18 known genes and 27 unknown genes between the two groups, and among them, 20 elevated genes and 25 reduced genes are identified. Additionally, the genes related to invasion and metastasis of malignant carcinomas are down-regulated and the genes related to apoptosis are up-regulated. The cDNA microarray technique is a high-throughput approach to screen the Wusan Granule anti-tumor related target genes, which allow us to explore the molecular biological mechanism on a genomic scale.

  12. Potential markers of tongue tumor progression selected by cDNA microarray.

    Science.gov (United States)

    Carinci, F; Lo Muzio, L; Piattelli, A; Rubini, C; Chiesa, F; Ionna, F; Palmieri, A; Maiorano, E; Pastore, A; Laino, G; Dolci, M; Pezzetti, F

    2005-01-01

    Squamous cell carcinoma (SCC), the most frequent malignant tumor of the oral cavity, generally exhibits a poor prognosis and metastases are the main cause of death. This tumor often arises from pre-malignant lesions. To date, it is difficult to predict if and which pre-malignant lesions may progress into oral SCC using traditional methods. For these reasons, several studies are trying to identify markers useful in the progression of pre-malignant lesions and tumors. To define the genetic expression profile of tongue tumor progression we compared 9 dysplasias (DS), 8 tumors without metastasis (TWM), 11 metastasizing SCCs (MT) of the tongue, and a baseline of 11 normal tissues by using cDNA microarray containing 19.2 K clones. We initially applied hierarchical agglomerative clustering based on information from all 6026 clones. Results were obtained by performing a two steps analysis: a Significance Analysis of Microarray (SAM) and a Gene Ontology search. One hundred and five clones have statistically significant different expression levels (FDR ADAMTS2 and cathepsin O). Additionally, under-expressed genes encoded apoptosis-related proteins (PDCD4 and CASP4). In conclusion, we identified several genes differentially expressed in tumor progression which can potentially help in better classifying pre-malignant lesions and tongue SCCs. PMID:16164832

  13. Iterative normalization of cDNA microarray data.

    Science.gov (United States)

    Wang, Yue; Lu, Jianping; Lee, Richard; Gu, Zhiping; Clarke, Robert

    2002-03-01

    This paper describes a new approach to normalizing microarray expression data. The novel feature is to unify the tasks of estimating normalization coefficients and identifying control gene set. Unification is realized by constructing a window function over the scatter plot defining the subset of constantly expressed genes and by affecting optimization using an iterative procedure. The structure of window function gates contributions to the control gene set used to estimate normalization coefficients. This window measures the consistency of the matched neighborhoods in the scatter plot and provides a means of rejecting control gene outliers. The recovery of normalizational regression and control gene selection are interleaved and are realized by applying coupled operations to the mean square error function. In this way, the two processes bootstrap one another. We evaluate the technique on real microarray data from breast cancer cell lines and complement the experiment with a data cluster visualization study. PMID:11936594

  14. GENE EXPRESSION IN THE TESTES OF NORMOSPERMIC VERSUS TERATOSPERMIC DOMESTIC CATS USING HUMAN CDNA MICROARRAY ANALYSES

    Science.gov (United States)

    GENE EXPRESSION IN THE TESTES OF NORMOSPERMIC VERSUS TERATOSPERMIC DOMESTIC CATS USING HUMAN cDNA MICROARRAY ANALYSESB.S. Pukazhenthi1, J. C. Rockett2, M. Ouyang3, D.J. Dix2, J.G. Howard1, P. Georgopoulos4, W.J. J. Welsh3 and D. E. Wildt11Department of Reproductiv...

  15. Generation of EST and cDNA Microarray Resources for the Study of Bovine Immunobiology*

    Directory of Open Access Journals (Sweden)

    Coussens PM

    2003-03-01

    Full Text Available Recent developments in expressed sequence tag (EST and cDNA microarray technology have had a dramatic impact on the ability of scientists to study the responses of thousands of genes to external stimuli, such as infection, nutrient flux, and stress. To date however, these studies have largely been limited to human and rodent systems. Despite the tremendous potential benefit of EST and cDNA microarray technology to studies of complex problems in domestic animal species, a lack of integrated resources has precluded application of these technologies to domestic species. To address this problem, the Center for Animal Functional Genomics (CAFG at Michigan State University has developed a normalized bovine total leukocyte (BOTL cDNA library, generated EST clones from this library, and printed cDNA microarrays suitable for studying bovine immunobiology. Our data revealed that the normalization procedure successfully reduced highly abundant cDNA species while enhancing the relative percentage of clones representing rare transcripts. To date, a total of 932 EST sequences have been generated from this library (BOTL and the sequence information plus BLAST results made available through a web-accessible database http://gowhite.ans.msu.edu. Cluster analysis of the data indicates that a total of 842 unique cDNAs are present in this collection, reflecting a low redundancy rate of 9.7%. For creation of first generation cDNA microarrays, inserts from 720 unique clones in this library were amplified and microarrays were produced by spotting each insert or amplicon 3 times on glass slides in a 48-patch arrangement with 64 total spots (including blanks and positive controls per patch. To test our BOTL microarray, we compared gene expression patterns of concanavalin A stimulated and unstimulated peripheral blood mononuclear cells (PBMCs. In total, hybridization signals on over 90 amplicons showed upregulation (>3× in response to Con A stimulation, relative to

  16. Identification of hypoxia-responsive genes in a dopaminergic cell line by subtractive cDNA libraries and microarray analysis.

    Science.gov (United States)

    Beitner-Johnson, D; Seta, K; Yuan, Y; Kim, H -W.; Rust, R T.; Conrad, P W.; Kobayashi, S; Millhorn, D E.

    2001-07-01

    Transplantation of dopamine-secreting cells harvested from fetal mesencephalon directly into the striatum has had limited success as a therapy for Parkinson's disease. A major problem is that the majority of the cells die during the first 3 weeks following transplantation. Hypoxia in the tissue surrounding the graft is a potential cause of the cell death. We have used subtractive cDNA libraries and microarray analysis to identify the gene expression profile that regulates tolerance to hypoxia. An improved understanding of the molecular basis of hypoxia-tolerance may allow investigators to engineer cells that can survive in the hypoxic environment of the brain parenchyma following transplantation. PMID:11331199

  17. A dolphin peripheral blood leukocyte cDNA microarray for studies of immune function and stress reactions.

    Science.gov (United States)

    Mancia, Annalaura; Lundqvist, Mats L; Romano, Tracy A; Peden-Adams, Margie M; Fair, Patricia A; Kindy, Mark S; Ellis, Blake C; Gattoni-Celli, Sebastiano; McKillen, David J; Trent, Harold F; Chen, Yian Ann; Almeida, Jonas S; Gross, Paul S; Chapman, Robert W; Warr, Gregory W

    2007-01-01

    A microarray focused on stress response and immune function genes of the bottlenosed dolphin has been developed. Random expressed sequence tags (ESTs) were isolated and sequenced from two dolphin peripheral blood leukocyte (PBL) cDNA libraries biased towards T- and B-cell gene expression by stimulation with IL-2 and LPS, respectively. A total of 2784 clones were sequenced and contig analysis yielded 1343 unigenes (archived and annotated at ). In addition, 52 dolphin genes known to be important in innate and adaptive immune function and stress responses of terrestrial mammals were specifically targeted, cloned and added to the unigene collection. The set of dolphin sequences printed on a cDNA microarray comprised the 1343 unigenes, the 52 targeted genes and 2305 randomly selected (but unsequenced) EST clones. This set was printed in duplicate spots, side by side, and in two replicates per slide, such that the total number of features per microarray slide was 19,200, including controls. The dolphin arrays were validated and transcriptomic profiles were generated using PBL from a wild dolphin, a captive dolphin and dolphin skin cells. The results demonstrate that the array is a reproducible and informative tool for assessing differential gene expression in dolphin PBL and in other tissues. PMID:17084893

  18. Fluorescent cDNA microarray hybridization reveals complexity and heterogeneity of cellular genotoxic stress responses.

    Science.gov (United States)

    Amundson, S A; Bittner, M; Chen, Y; Trent, J; Meltzer, P; Fornace, A J

    1999-06-17

    The fate of cells exposed to ionizing radiation (IR) may depend greatly on changes in gene expression, so that an improved view of gene induction profiles is important for understanding mechanisms of checkpoint control, repair and cell death following such exposures. We have used a quantitative fluorescent cDNA microarray hybridization approach to identify genes regulated in response to 7-irradiation in the p53 wild-type ML-1 human myeloid cell line. Hybridization of the array to fluorescently-labeled RNA from treated and untreated cells was followed by computer analysis to derive relative changes in expression levels of the genes present in the array, which agreed well with actual quantitative changes in expression. Forty-eight sequences, 30 not previously identified as IR-responsive, were significantly regulated by IR. Induction by IR and other stresses of a subset of these genes, including the previously characterized CIP1/ WAF1, MDM2 and BAX genes, as well as nine genes not previously reported to be IR-responsive, was examined in a panel of 12 human cell lines. Responses varied widely in cell lines with different tissues of origin and different genetic backgrounds, highlighting the importance of cellular context to genotoxic stress responses. Two of the newly identified IR-responsive genes, FRA-1 and ATF3, showed a p53-associated component to their IR-induction, and this was confirmed both in isogenic human cell lines and in mouse thymus. The majority of the IR-responsive genes, however, showed no indication of p53-dependent regulation, representing a potentially important class of stress-responsive genes in leukemic cells. PMID:10380890

  19. Optimization of cDNA microarrays procedures using criteria that do not rely on external standards

    Directory of Open Access Journals (Sweden)

    Beisvag Vidar

    2007-10-01

    Full Text Available Abstract Background The measurement of gene expression using microarray technology is a complicated process in which a large number of factors can be varied. Due to the lack of standard calibration samples such as are used in traditional chemical analysis it may be a problem to evaluate whether changes done to the microarray procedure actually improve the identification of truly differentially expressed genes. The purpose of the present work is to report the optimization of several steps in the microarray process both in laboratory practices and in data processing using criteria that do not rely on external standards. Results We performed a cDNA microarry experiment including RNA from samples with high expected differential gene expression termed "high contrasts" (rat cell lines AR42J and NRK52E compared to self-self hybridization, and optimized a pipeline to maximize the number of genes found to be differentially expressed in the "high contrasts" RNA samples by estimating the false discovery rate (FDR using a null distribution obtained from the self-self experiment. The proposed high-contrast versus self-self method (HCSSM requires only four microarrays per evaluation. The effects of blocking reagent dose, filtering, and background corrections methodologies were investigated. In our experiments a dose of 250 ng LNA (locked nucleic acid dT blocker, no background correction and weight based filtering gave the largest number of differentially expressed genes. The choice of background correction method had a stronger impact on the estimated number of differentially expressed genes than the choice of filtering method. Cross platform microarray (Illumina analysis was used to validate that the increase in the number of differentially expressed genes found by HCSSM was real. Conclusion The results show that HCSSM can be a useful and simple approach to optimize microarray procedures without including external standards. Our optimizing method is highly

  20. Microarrays in ecological research: A case study of a cDNA microarray for plant-herbivore interactions

    Directory of Open Access Journals (Sweden)

    Gase Klaus

    2004-09-01

    Full Text Available Abstract Background Microarray technology allows researchers to simultaneously monitor changes in the expression ratios (ERs of hundreds of genes and has thereby revolutionized most of biology. Although this technique has the potential of elucidating early stages in an organism's phenotypic response to complex ecological interactions, to date, it has not been fully incorporated into ecological research. This is partially due to a lack of simple procedures of handling and analyzing the expression ratio (ER data produced from microarrays. Results We describe an analysis of the sources of variation in ERs from 73 hybridized cDNA microarrays, each with 234 herbivory-elicited genes from the model ecological expression system, Nicotiana attenuata, using procedures that are commonly used in ecologic research. Each gene is represented by two independently labeled PCR products and each product was arrayed in quadruplicate. We present a robust method of normalizing and analyzing ERs based on arbitrary thresholds and statistical criteria, and characterize a "norm of reaction" of ERs for 6 genes (4 of known function, 2 of unknown with different ERs as determined across all analyzed arrays to provide a biologically-informed alternative to the use of arbitrary expression ratios in determining significance of expression. These gene-specific ERs and their variance (gene CV were used to calculate array-based variances (array CV, which, in turn, were used to study the effects of array age, probe cDNA quantity and quality, and quality of spotted PCR products as estimates of technical variation. Cluster analysis and a Principal Component Analysis (PCA were used to reveal associations among the transcriptional "imprints" of arrays hybridized with cDNA probes derived from mRNA from N. attenuata plants variously elicited and attacked by different herbivore species and from three congeners: N. quadrivalis, N. longiflora and N. clevelandii. Additionally, the PCA

  1. Significant overexpression of oligophrenin-1 in colorectal tumors detected by cDNA microarray analysis.

    Science.gov (United States)

    Pinheiro, N A; Caballero, O L; Soares, F; Reis, L F; Simpson, A J

    2001-10-22

    The human oligophrenin-1 gene is ubiquitously expressed at low levels and expressed at high levels in the developing neuroepithelium of the neural tube. Mutations in this gene have been related to the X-linked mental retardation. Using cDNA microarrays, we found evidence that oligophrenin-1 is strongly up-regulated in colorectal tumors. Semiquantitative reverse transcriptase polymerase chain reaction confirmed this finding. Thus, a well-known nervous system-associated human gene transcript may also be an important colorectal tumor marker and potential therapeutic target. PMID:11595131

  2. Radioactive cDNA microarrys for gene expression profiles in antidepressant therapy

    International Nuclear Information System (INIS)

    Using radioactive cDNA microarray, we investigated a pattern of gene regulation under treatment of antidepressant on patients of depressive disoder. Basic microarray technology was performed as previously described in our research. The bioinformatic selection of human cDNAs, which is specifically designed for psychiatry, neurology, and signal transduction, were arrayed on nylon membranes. Using with 33P-labeled probes, this method provided highly sensitive gene expression profiles of our interest including brain receptors, drug metabolism, and cellular signalings. Gene expression profiles were also classified into several categories in accordance with the gene-regulation of antidepressant. The gene profiles of our interest were significantly up- (16 genes, >2.0 of Z-ratio) or down- (24 genes, <-2.0 of Z ratio) regulated when compared the good responsed group with the bad-responsed one. Consequently, we demonstrated that radioactive human cDNA microarray is highly likely to be an efficient technology for evaluating the gene regulation of antidepressants, such as selective serotonin-reuptake inhibitors (SSRIs), by using high-throughput biotechnology

  3. Radioactive cDNA microarrys for gene expression profiles in antidepressant therapy

    Energy Technology Data Exchange (ETDEWEB)

    Lee, M. S.; Han, B. J.; Cha, J. H.; Ryu, Y. M.; Shin, E. K.; Park, J. H.; Park, Y. H.; Kim, M. K. [Korea University Medical College, Seoul (Korea, Republic of)

    2002-07-01

    Using radioactive cDNA microarray, we investigated a pattern of gene regulation under treatment of antidepressant on patients of depressive disoder. Basic microarray technology was performed as previously described in our research. The bioinformatic selection of human cDNAs, which is specifically designed for psychiatry, neurology, and signal transduction, were arrayed on nylon membranes. Using with 33P-labeled probes, this method provided highly sensitive gene expression profiles of our interest including brain receptors, drug metabolism, and cellular signalings. Gene expression profiles were also classified into several categories in accordance with the gene-regulation of antidepressant. The gene profiles of our interest were significantly up- (16 genes, >2.0 of Z-ratio) or down- (24 genes, <-2.0 of Z ratio) regulated when compared the good responsed group with the bad-responsed one. Consequently, we demonstrated that radioactive human cDNA microarray is highly likely to be an efficient technology for evaluating the gene regulation of antidepressants, such as selective serotonin-reuptake inhibitors (SSRIs), by using high-throughput biotechnology.

  4. Microarray and cDNA sequence analysis of transcription during nerve-dependent limb regeneration

    Directory of Open Access Journals (Sweden)

    Bryant Susan V

    2009-01-01

    Full Text Available Abstract Background Microarray analysis and 454 cDNA sequencing were used to investigate a centuries-old problem in regenerative biology: the basis of nerve-dependent limb regeneration in salamanders. Innervated (NR and denervated (DL forelimbs of Mexican axolotls were amputated and transcripts were sampled after 0, 5, and 14 days of regeneration. Results Considerable similarity was observed between NR and DL transcriptional programs at 5 and 14 days post amputation (dpa. Genes with extracellular functions that are critical to wound healing were upregulated while muscle-specific genes were downregulated. Thus, many processes that are regulated during early limb regeneration do not depend upon nerve-derived factors. The majority of the transcriptional differences between NR and DL limbs were correlated with blastema formation; cell numbers increased in NR limbs after 5 dpa and this yielded distinct transcriptional signatures of cell proliferation in NR limbs at 14 dpa. These transcriptional signatures were not observed in DL limbs. Instead, gene expression changes within DL limbs suggest more diverse and protracted wound-healing responses. 454 cDNA sequencing complemented the microarray analysis by providing deeper sampling of transcriptional programs and associated biological processes. Assembly of new 454 cDNA sequences with existing expressed sequence tag (EST contigs from the Ambystoma EST database more than doubled (3935 to 9411 the number of non-redundant human-A. mexicanum orthologous sequences. Conclusion Many new candidate gene sequences were discovered for the first time and these will greatly enable future studies of wound healing, epigenetics, genome stability, and nerve-dependent blastema formation and outgrowth using the axolotl model.

  5. Evaluation of normalization methods for cDNA microarray data by k-NN classification

    Directory of Open Access Journals (Sweden)

    Myers Connie

    2005-07-01

    Full Text Available Abstract Background Non-biological factors give rise to unwanted variations in cDNA microarray data. There are many normalization methods designed to remove such variations. However, to date there have been few published systematic evaluations of these techniques for removing variations arising from dye biases in the context of downstream, higher-order analytical tasks such as classification. Results Ten location normalization methods that adjust spatial- and/or intensity-dependent dye biases, and three scale methods that adjust scale differences were applied, individually and in combination, to five distinct, published, cancer biology-related cDNA microarray data sets. Leave-one-out cross-validation (LOOCV classification error was employed as the quantitative end-point for assessing the effectiveness of a normalization method. In particular, a known classifier, k-nearest neighbor (k-NN, was estimated from data normalized using a given technique, and the LOOCV error rate of the ensuing model was computed. We found that k-NN classifiers are sensitive to dye biases in the data. Using NONRM and GMEDIAN as baseline methods, our results show that single-bias-removal techniques which remove either spatial-dependent dye bias (referred later as spatial effect or intensity-dependent dye bias (referred later as intensity effect moderately reduce LOOCV classification errors; whereas double-bias-removal techniques which remove both spatial- and intensity effect reduce LOOCV classification errors even further. Of the 41 different strategies examined, three two-step processes, IGLOESS-SLFILTERW7, ISTSPLINE-SLLOESS and IGLOESS-SLLOESS, all of which removed intensity effect globally and spatial effect locally, appear to reduce LOOCV classification errors most consistently and effectively across all data sets. We also found that the investigated scale normalization methods do not reduce LOOCV classification error. Conclusion Using LOOCV error of k-NNs as the

  6. Evaluation of normalization methods for cDNA microarray data by k-NN classification

    Energy Technology Data Exchange (ETDEWEB)

    Wu, Wei; Xing, Eric P; Myers, Connie; Mian, Saira; Bissell, Mina J

    2004-12-17

    Non-biological factors give rise to unwanted variations in cDNA microarray data. There are many normalization methods designed to remove such variations. However, to date there have been few published systematic evaluations of these techniques for removing variations arising from dye biases in the context of downstream, higher-order analytical tasks such as classification. Ten location normalization methods that adjust spatial- and/or intensity-dependent dye biases, and three scale methods that adjust scale differences were applied, individually and in combination, to five distinct, published, cancer biology-related cDNA microarray data sets. Leave-one-out cross-validation (LOOCV) classification error was employed as the quantitative end-point for assessing the effectiveness of a normalization method. In particular, a known classifier, k-nearest neighbor (k-NN), was estimated from data normalized using a given technique, and the LOOCV error rate of the ensuing model was computed. We found that k-NN classifiers are sensitive to dye biases in the data. Using NONRM and GMEDIAN as baseline methods, our results show that single-bias-removal techniques which remove either spatial-dependent dye bias (referred later as spatial effect) or intensity-dependent dye bias (referred later as intensity effect) moderately reduce LOOCV classification errors; whereas double-bias-removal techniques which remove both spatial- and intensity effect reduce LOOCV classification errors even further. Of the 41 different strategies examined, three two-step processes, IGLOESS-SLFILTERW7, ISTSPLINE-SLLOESS and IGLOESS-SLLOESS, all of which removed intensity effect globally and spatial effect locally, appear to reduce LOOCV classification errors most consistently and effectively across all data sets. We also found that the investigated scale normalization methods do not reduce LOOCV classification error. Using LOOCV error of k-NNs as the evaluation criterion, three double

  7. Effects of aspirin on metastasis-associated gene expression detected by cDNA microarray

    Institute of Scientific and Technical Information of China (English)

    Xue-qin GAO; Jin-xiang HAN; Hai-yan HUANG; Shi YAN; Chang-zheng SONG; Hai-nan HUANG

    2004-01-01

    AIM: To investigate the effect of aspirin on the metastasis-associated gene expression in 3AO ovarian cancer cells.METHODS: 3AO cells were treated with aspirin at the concentration of 1.2 mmol/L for 16 and 48 h, respectively.The total RNA was extracted with Trizol reagents and reverse transcribed with Superscript II and hybridized with cDNA microarray (containing oncogenes, tumor suppressor genes, signal transduction pathway molecules, adhesive molecules, growth factors and ESTs) fabricated in our lab. After normalization, the ratio of gene expression of aspirin treated to untreated 3AO cells being either 2 fold up higher or 0.5 fold down (lower) were defined as differential expression. Semi-quantitative RT-PCR was used to validate the microarray results. RESULTS: Among the 447 metastasis-associated genes, 4 genes were up-regulated and 14 genes were down-regulated in 3AO cells treated with aspirin for 16 h compared with untreated cells. While 24 genes were up-regulated and 10 genes were down-regulated in cells treated with aspirin for 48 h. Several up or down-regulated gene expression changes continued from 16 h to 48 h. CONCLUSION: Aspirin might exert its anti-metastasis effects on ovarian cancer by affecting metastasis-associated gene expression.

  8. Normal uniform mixture differential gene expression detection for cDNA microarrays

    Directory of Open Access Journals (Sweden)

    Raftery Adrian E

    2005-07-01

    Full Text Available Abstract Background One of the primary tasks in analysing gene expression data is finding genes that are differentially expressed in different samples. Multiple testing issues due to the thousands of tests run make some of the more popular methods for doing this problematic. Results We propose a simple method, Normal Uniform Differential Gene Expression (NUDGE detection for finding differentially expressed genes in cDNA microarrays. The method uses a simple univariate normal-uniform mixture model, in combination with new normalization methods for spread as well as mean that extend the lowess normalization of Dudoit, Yang, Callow and Speed (2002 1. It takes account of multiple testing, and gives probabilities of differential expression as part of its output. It can be applied to either single-slide or replicated experiments, and it is very fast. Three datasets are analyzed using NUDGE, and the results are compared to those given by other popular methods: unadjusted and Bonferroni-adjusted t tests, Significance Analysis of Microarrays (SAM, and Empirical Bayes for microarrays (EBarrays with both Gamma-Gamma and Lognormal-Normal models. Conclusion The method gives a high probability of differential expression to genes known/suspected a priori to be differentially expressed and a low probability to the others. In terms of known false positives and false negatives, the method outperforms all multiple-replicate methods except for the Gamma-Gamma EBarrays method to which it offers comparable results with the added advantages of greater simplicity, speed, fewer assumptions and applicability to the single replicate case. An R package called nudge to implement the methods in this paper will be made available soon at http://www.bioconductor.org.

  9. Integrated statistical analysis of cDNA microarray and NIR spectroscopic data applied to a hemp dataset

    NARCIS (Netherlands)

    Reijmers, T.H.; Maliepaard, C.A.; Broeck, van den H.C.; Kessler, R.W.; Toonen, M.A.J.; Voet, van der H.

    2005-01-01

    Both cDNA microarray and spectroscopic data provide indirect information about the chemical compounds present in the biological tissue under consideration. In this paper simple univariate and bivariate measures are used to investigate correlations between both types of high dimensional analyses. A l

  10. Analysis of differences of gene expressions in keloid and normal skin with the aid of cDNA microarray

    Institute of Scientific and Technical Information of China (English)

    Chen Wei; Fu Xiaobing; Sun Xiaoqing; Sun Tongzhu; Zhao Zhili; Yang Yinhui; Sheng Zhiyong

    2003-01-01

    Background: Microarray analysis is a popular tool to investigate the function of genes that are responsible for the phenotype of the disease. Keloid is a intricate lesion which is probably modulated by interplay of many genes. We ventured to study the differences of gene expressions between keloids and normal skins with the aid of cDNA microarray in order to explore the molecular mechanism underlying keloid formation. Methods: The PCR products of 8400 human genes were spotted on a chip in array. The DNAs were then fixed on the glass plate by a series of treatments. Total RNAs was isolated from freshly excised human keloids and normal skin, and then was purified to mRNA by Oligotex. Both the mRNA from keloids and normal skin was reversely transcribed to cDNAs with the incorporations of fluorescent dUTP, for preparing the hybridization probes. The mixed probes were then hybridized to the cDNA microarray. After highly stringent washing, the cDNA microarray was scanned for the fluorescent signals to display the differences between two kinds of tissues. Results: Among 8400 human genes, there were 402 genes (4.79%) with different expression levels between the keloids and normal skins in all cases, 250were up-regulated (2.98%) and 152 down-regulated (1.81%). Analyses of collagen, fibronectin, proteoglycan,growth factors and apoptosis related molecule gene expression confirmed that our molecular data obtained by cDNA microarray were consistent with published biochemical and clinical observations of keloids. Conclusions: DNA microarray technology is an effective technique in screening for differences in gene expression between keloid and normal skin. Many genes are involved in the formation of keloids. Further analysis of the obtained genes will help understand the molecular mechanism of keloid formation.

  11. Transcriptomic identification of candidate genes involved in sunflower responses to chilling and salt stresses based on cDNA microarray analysis

    Directory of Open Access Journals (Sweden)

    Paniego Norma

    2008-01-01

    Full Text Available Abstract Background Considering that sunflower production is expanding to arid regions, tolerance to abiotic stresses as drought, low temperatures and salinity arises as one of the main constrains nowadays. Differential organ-specific sunflower ESTs (expressed sequence tags were previously generated by a subtractive hybridization method that included a considerable number of putative abiotic stress associated sequences. The objective of this work is to analyze concerted gene expression profiles of organ-specific ESTs by fluorescence microarray assay, in response to high sodium chloride concentration and chilling treatments with the aim to identify and follow up candidate genes for early responses to abiotic stress in sunflower. Results Abiotic-related expressed genes were the target of this characterization through a gene expression analysis using an organ-specific cDNA fluorescence microarray approach in response to high salinity and low temperatures. The experiment included three independent replicates from leaf samples. We analyzed 317 unigenes previously isolated from differential organ-specific cDNA libraries from leaf, stem and flower at R1 and R4 developmental stage. A statistical analysis based on mean comparison by ANOVA and ordination by Principal Component Analysis allowed the detection of 80 candidate genes for either salinity and/or chilling stresses. Out of them, 50 genes were up or down regulated under both stresses, supporting common regulatory mechanisms and general responses to chilling and salinity. Interestingly 15 and 12 sequences were up regulated or down regulated specifically in one stress but not in the other, respectively. These genes are potentially involved in different regulatory mechanisms including transcription/translation/protein degradation/protein folding/ROS production or ROS-scavenging. Differential gene expression patterns were confirmed by qRT-PCR for 12.5% of the microarray candidate sequences. Conclusion

  12. Transcriptional profiling of endocrine cerebro-osteodysplasia using microarray and next-generation sequencing.

    Directory of Open Access Journals (Sweden)

    Piya Lahiry

    Full Text Available BACKGROUND: Transcriptome profiling of patterns of RNA expression is a powerful approach to identify networks of genes that play a role in disease. To date, most mRNA profiling of tissues has been accomplished using microarrays, but next-generation sequencing can offer a richer and more comprehensive picture. METHODOLOGY/PRINCIPAL FINDINGS: ECO is a rare multi-system developmental disorder caused by a homozygous mutation in ICK encoding intestinal cell kinase. We performed gene expression profiling using both cDNA microarrays and next-generation mRNA sequencing (mRNA-seq of skin fibroblasts from ECO-affected subjects. We then validated a subset of differentially expressed transcripts identified by each method using quantitative reverse transcription-polymerase chain reaction (qRT-PCR. Finally, we used gene ontology (GO to identify critical pathways and processes that were abnormal according to each technical platform. Methodologically, mRNA-seq identifies a much larger number of differentially expressed genes with much better correlation to qRT-PCR results than the microarray (r² = 0.794 and 0.137, respectively. Biologically, cDNA microarray identified functional pathways focused on anatomical structure and development, while the mRNA-seq platform identified a higher proportion of genes involved in cell division and DNA replication pathways. CONCLUSIONS/SIGNIFICANCE: Transcriptome profiling with mRNA-seq had greater sensitivity, range and accuracy than the microarray. The two platforms generated different but complementary hypotheses for further evaluation.

  13. Microarray analysis of adipose tissue gene expression profiles between two chicken breeds

    Indian Academy of Sciences (India)

    Hongbao Wang; Hui Li; Qigui Wang; Yuxiang Wang; Huabin Han; Hui Shi

    2006-12-01

    The chicken is an important model organism that bridges the evolutionary gap between mammals and other vertebrates and provides a major protein source from meat and eggs throughout the world. Excessive accumulation of lipids in the adipose tissue is one of the main problems faced by the broiler industry nowadays. In order to visualize the mechanisms involved in the gene expression and regulation of lipid metabolism in adipose tissue, cDNA microarray containing 9 024 cDNA was used to construct gene expression profile and screen differentially expressed genes in adipose tissue between broilers and layers of 10 wk of age. Sixty-seven differentially expressed sequences were screened out, and 42 genes were found when blasted with the GenBank database. These genes are mainly related to lipid metabolism, energy metabolism, transcription and splicing factor, protein synthesis and degradation. The remained 25 sequences had no annotation available in the GenBank database. Furthermore, Northern blot and semi-quantitative RT-PCR were developed to confirm 4 differentially expressed genes screened by cDNA microarray, and it showed great consistency between the microarray data and Northern blot results or semi-quantitative RT-PCR results. The present study will be helpful for clarifying the molecular mechanism of obesity in chickens.

  14. Microarray expression profiles of 20.000 genes across 23 healthy porcine tissues.

    Directory of Open Access Journals (Sweden)

    Henrik Hornshøj

    Full Text Available BACKGROUND: Gene expression microarrays have been intensively applied to screen for genes involved in specific biological processes of interest such as diseases or responses to environmental stimuli. For mammalian species, cataloging of the global gene expression profiles in large tissue collections under normal conditions have been focusing on human and mouse genomes but is lacking for the pig genome. METHODOLOGY/PRINCIPAL FINDINGS: Here we present the results from a large-scale porcine study establishing microarray cDNA expression profiles of approximately 20.000 genes across 23 healthy tissues. As expected, a large portion of the genes show tissue specific expression in agreement with mappings to gene descriptions, Gene Ontology terms and KEGG pathways. Two-way hierarchical clustering identified expected tissue clusters in accordance with tissue type and a number of cDNA clusters having similar gene expression patterns across tissues. For one of these cDNA clusters, we demonstrate that possible tissue associated gene function can be inferred for previously uncharacterized genes based on their shared expression patterns with functionally annotated genes. We show that gene expression in common porcine tissues is similar to the expression in homologous tissues of human. CONCLUSIONS/SIGNIFICANCE: The results from this study constitute a valuable and publicly available resource of basic gene expression profiles in normal porcine tissues and will contribute to the identification and functional annotation of porcine genes.

  15. Accuracy of cDNA microarray methods to detect small gene expression changes induced by neuregulin on breast epithelial cells

    Directory of Open Access Journals (Sweden)

    Ahmed Sharlin

    2004-07-01

    Full Text Available Abstract Background cDNA microarrays are a powerful means to screen for biologically relevant gene expression changes, but are often limited by their ability to detect small changes accurately due to "noise" from random and systematic errors. While experimental designs and statistical analysis methods have been proposed to reduce these errors, few studies have tested their accuracy and ability to identify small, but biologically important, changes. Here, we have compared two cDNA microarray experimental design methods with northern blot confirmation to reveal changes in gene expression that could contribute to the early antiproliferative effects of neuregulin on MCF10AT human breast epithelial cells. Results We performed parallel experiments on identical samples using a dye-swap design with ANOVA and an experimental design that excludes systematic biases by "correcting" experimental/control hybridization ratios with control/control hybridizations on a spot-by-spot basis. We refer to this approach as the "control correction method" (CCM. Using replicate arrays, we identified a decrease in proliferation genes and an increase in differentiation genes. Using an arbitrary cut-off of 1.7-fold and p values Conclusions We validated two experimental design paradigms for cDNA microarray experiments capable of detecting small (

  16. Hypoxia-induced regulation of MAPK phosphatase-1 as identified by subtractive suppression hybridization and cDNA microarray analysis.

    Science.gov (United States)

    Seta, K A; Kim, R; Kim, H W; Millhorn, D E; Beitner-Johnson, D

    2001-11-30

    Subtractive suppression hybridization was used to generate a cDNA library enriched in cDNA sequences corresponding to mRNA species that are specifically up-regulated by hypoxia (6 h, 1% O(2)) in the oxygen-responsive pheochromocytoma cell line. The dual specificity protein-tyrosine phosphatase MAPK phosphatase-1 (MKP-1) was highly represented in this library. Clones were arrayed on glass slides to create a hypoxia-specific cDNA microarray chip. Microarray, northern blot, and western blot analyses confirmed that MKP-1 mRNA and protein levels were up-regulated by hypoxia by approximately 8-fold. The magnitude of the effect of hypoxia on MKP-1 was approximately equal to that induced by KCl depolarization and much larger than the effects of either epidermal growth factor or nerve growth factor on MKP-1 mRNA levels. In contrast to the calcium-dependent induction of MKP-1 by KCl depolarization, the effect of hypoxia on MKP-1 persisted under calcium-free conditions. Cobalt and deferoxamine also increased MKP-1 mRNA levels, suggesting that hypoxia-inducible factor proteins may play a role in the regulation of MKP-1 by hypoxia. Pretreatment of cells with SB203580, which inhibits p38 kinase activity, significantly reduced the hypoxia-induced increase in MKP-1 RNA levels. Thus, hypoxia robustly increases MKP-1 levels, at least in part through a p38 kinase-mediated mechanism. PMID:11577072

  17. Gene expression profiling of gastric cancer by microarray combined with laser capture microdissection

    Institute of Scientific and Technical Information of China (English)

    Ming-Shiang Wu; Yi-Shing Lin; Yu-Ting Chang; Chia-Tung Shun; Ming-Tsan Lin; Jaw-Town Lin

    2005-01-01

    AIM: To examine the gene expression profile of gastric cancer (GC) by combination of laser capture microdissection (LCM) and microarray and to correlate the profiling with histological subtypes. METHODS: Using LCM, pure cancer cells were procured from 45 cancerous tissues. After procurement of about 5 000 cells, total RNA was extracted and the quality of RNA was determined before further amplification and hybridization. One microgram of amplified RNA was converted to cDNA and hybridized to cDNA microarray. RESULTS: Among 45 cases, only 21 were qualified for their RNAs. A total of 62 arrays were performed. These included 42 arrays for cancer (21 cases with dyeswab duplication) and 20 arrays for non-tumorous cells (10 cases with dye-swab duplication) with universal reference. Analyzed data showed 504 genes were differentially expressed and could distinguish cancerous and non-cancerous groups with more than 99% accuracy. Of the 504 genes, trefoil factors 1, 2, and 3 were in the list and their expression patterns were consistent with previous reports. Immunohistochemical staining of trefoil factor 1 was also consistent with the array data. Analyses of the tumor group with these 504 genes showed that there were 3 subgroups of GC that did not correspond to any current classification system, including Lauren's classification. CONCLUSION: By using LCM, linear amplification of RNA, and cDNA microarray, we have identified a panel of genes that have the power to discriminate between GC and non-cancer groups. The new molecular classification and the identified novel genes in gastric carcinogenesis deserve further investigations to elucidate their dinicopathological significance.

  18. FSL-based Hardware Implementation for Parallel Computation of cDNA Microarray Image Segmentation

    OpenAIRE

    Bogdan Bot; Simina Emerich; Sorin Martoiu; Bogdan Belean

    2015-01-01

    The present paper proposes a FPGA based hardware implementations for microarray image processing algorithms in order eliminate the shortcomings of the existing software platforms: user intervention, increased computation time and cost. The proposed image processing algorithms exclude user intervention from processing. An application-specific architecture is designed aiming microarray image processing algorithms parallelization in order to speed up computation. Hardware architectures for logar...

  19. Molecular characterisation of the early response in pigs to experimental infection with Actinobacillus pleuropneumoniae using cDNA microarrays

    DEFF Research Database (Denmark)

    Hedegaard, Jakob; Skovgaard, Kerstin; Mortensen, Shila;

    2007-01-01

    inflamed lung tissue, genes encoding immune activating proteins and other pro-inflammatory mediators of the innate immune response were found to be up-regulated. Genes encoding different acute phase reactants were found to be differentially expressed in the liver. Conclusion: The obtained results are......-inflamed lung tissue sampled from inoculated animals as well as in liver and tracheobronchial lymph node tissue sampled from three inoculated animals versus two non-inoculated animals. The lung samples were studied using a porcine cDNA microarray with 5375 unique PCR products while liver tissue and...... tracheobronchial lymph node tissue were hybridised to an expanded version of the porcine microarray with 26879 unique PCR products. Results: A total of 357 genes differed significantly in expression between infected and non-infected lung tissue, 713 genes differed in expression in liver tissue from infected versus...

  20. Genome-Wide Screening of Genes Showing Altered Expression in Liver Metastases of Human Colorectal Cancers by cDNA Microarray

    Directory of Open Access Journals (Sweden)

    Rempei Yanagawa

    2001-01-01

    Full Text Available In spite of intensive and increasingly successful attempts to determine the multiple steps involved in colorectal carcinogenesis, the mechanisms responsible for metastasis of colorectal tumors to the liver remain to be clarified. To identify genes that are candidates for involvement in the metastatic process, we analyzed genome-wide expression profiles of 10 primary colorectal cancers and their corresponding metastatic lesions by means of a cDNA microarray consisting of 9121 human genes. This analysis identified 40 genes whose expression was commonly upregulated in metastatic lesions, and 7 that were commonly downregulated. The upregulated genes encoded proteins involved in cell adhesion, or remodeling of the actin cytoskeleton. Investigation of the functions of more of the altered genes should improve our understanding of metastasis and may identify diagnostic markers and/or novel molecular targets for prevention or therapy of metastatic lesions.

  1. cDNA Microarray Analysis Revealing Candidate Biomineralization Genes of the Pearl Oyster, Pinctada fucata martensii.

    Science.gov (United States)

    Shi, Yaohua; Zheng, Xing; Zhan, Xin; Wang, Aimin; Gu, Zhifeng

    2016-06-01

    Biomineralization is a common biological phenomenon resulting in strong tissue, such as bone, tooth, and shell. Pinctada fucata martensii is an ideal animal for the study of biomineralization. Here, microarray technique was used to identify biomineralization gene in mantle edge (ME), mantle center (MC), and both ME and MC (ME-MC) for this pearl oyster. Results revealed that 804, 306, and 1127 contigs expressed at least three times higher in ME, MC, and ME-MC as those in other tissues. Blast against non-redundant database showed that 130 contigs (16.17 %), 53 contigs (17.32 %), and 248 contigs (22.01 %) hit reference genes (E ≤ -10), among which 91 contigs, 48 contigs, and 168 contigs could be assigned to 32, 26, and 63 biomineralization genes in tissue of ME, MC, and ME-MC at a threshold of 3 times upregulated expression level. The ratios of biomineralization contigs to homologous contigs were similar at 3 times, 10 times, and 100 times of upregulated expression level in either ME, MC, or ME-MC. Moreover, the ratio of biomineralization contigs was highest in MC. Although mRNA distribution characters were similar to those in other studies for eight biomineralization genes of PFMG3, Pif, nacrein, MSI7, mantle gene 6, Pfty1, prismin, and the shematrin, most biomineralization genes presented different expression profiles from existing reports. These results provided massive fundamental information for further study of biomineralization gene function, and it may be helpful for revealing gene nets of biomineralization and the molecular mechanisms underlining formation of shell and pearl for the oyster. PMID:27184264

  2. Difference in gene expression of macrophage between normal spleen and portal hypertensive spleen idendified by cDNA microarray

    Institute of Scientific and Technical Information of China (English)

    Feng Yan; Xiao-Min Wang

    2007-01-01

    AIM: To identify the difference in gene expression of microphage (Mφ) between normal spleen and portal hypertensive spleen using cDNA microarrays and find new gene functions associated with hypersplenism in portal hypertension.METHODS: The Biostar-H140s chip containing 14112 spots of cDNAs were used to investigate the difference of the expression. The total RNA extracted from macrophages isolated from both normal spleen and portal hypertensive spleen was reversely transcribed to cDNA with the incorporation of fluorescent (cy3 and cy5) labeled dCTP to prepare the hybridization probes.After hybridization, the gene chip was scanned for the fluorescent intensity. The differentially expressed genes were screened. That was repeated three times,and only the genes which had differential expression in all three chips were considered to be associated with hypersplenism in portal hypertension.RESULTS: Eight hundred and ninety-six, 1330 and 898 genes were identified to be differentially expressed in three chips, respectively. One hundred and twenty-one genes (0.86%) were identified to be differentially expressed in all three chips, including 21 up-regulated genes and 73 down-regulated genes. The differentially expressed genes were related to ionic channel and transport protein, cyclin, cytoskeleton, cell receptor, cell signal conduct, metabolism, immune, and so on. These genes might be related to the hypersplenism in portal hypertension.CONCLUSION: The investigations based on cDNA microarray can screen differentially expressed genes of macrophages between normal spleen and portal hypertensive spleen, thus may provide a new idea in studying the pathogenesis of hypersplenism in portal hypertension.

  3. Use of the cDNA microarray technology in the safety assessment of GM food plants

    NARCIS (Netherlands)

    Kok, E.J.; Kleter, G.A.; Dijk, van J.P.

    2003-01-01

    This report focuses on new analytical approaches that might give more insight into possible changes in a genetically modified plant. Primarily the focus is on the new DNA microarray technique but also proteomics and metabolomics are discussed.The report describes the new techniques and evaluates the

  4. Gene expression profiling of whole blood: Comparison of target preparation methods for accurate and reproducible microarray analysis

    Directory of Open Access Journals (Sweden)

    Choi Dongseok

    2009-01-01

    Full Text Available Abstract Background Peripheral blood is an accessible and informative source of transcriptomal information for many human disease and pharmacogenomic studies. While there can be significant advantages to analyzing RNA isolated from whole blood, particularly in clinical studies, the preparation of samples for microarray analysis is complicated by the need to minimize artifacts associated with highly abundant globin RNA transcripts. The impact of globin RNA transcripts on expression profiling data can potentially be reduced by using RNA preparation and labeling methods that remove or block globin RNA during the microarray assay. We compared four different methods for preparing microarray hybridization targets from human whole blood collected in PAXGene tubes. Three of the methods utilized the Affymetrix one-cycle cDNA synthesis/in vitro transcription protocol but varied treatment of input RNA as follows: i. no treatment; ii. treatment with GLOBINclear; or iii. treatment with globin PNA oligos. In the fourth method cDNA targets were prepared with the Ovation amplification and labeling system. Results We find that microarray targets generated with labeling methods that reduce globin mRNA levels or minimize the impact of globin transcripts during hybridization detect more transcripts in the microarray assay compared with the standard Affymetrix method. Comparison of microarray results with quantitative PCR analysis of a panel of genes from the NF-kappa B pathway shows good correlation of transcript measurements produced with all four target preparation methods, although method-specific differences in overall correlation were observed. The impact of freezing blood collected in PAXGene tubes on data reproducibility was also examined. Expression profiles show little or no difference when RNA is extracted from either fresh or frozen blood samples. Conclusion RNA preparation and labeling methods designed to reduce the impact of globin mRNA transcripts can

  5. Molecular characterisation of the early response in pigs to experimental infection with Actinobacillus pleuropneumoniae using cDNA microarrays

    Directory of Open Access Journals (Sweden)

    Bendixen Christian

    2007-04-01

    Full Text Available Abstract Background The bacterium Actinobacillus pleuropneumoniae is responsible for porcine pleuropneumonia, a widespread, highly contagious and often fatal respiratory disease of pigs. The general porcine innate immune response after A. pleuropneumoniae infection is still not clarified. The objective of this study was hence to characterise the transcriptional response, measured by using cDNA microarrays, in pigs 24 hours after experimental inoculation with A. pleuropneumoniae. Methods Microarray analyses were conducted to reveal genes being differentially expressed in inflamed versus non-inflamed lung tissue sampled from inoculated animals as well as in liver and tracheobronchial lymph node tissue sampled from three inoculated animals versus two non-inoculated animals. The lung samples were studied using a porcine cDNA microarray with 5375 unique PCR products while liver tissue and tracheobronchial lymph node tissue were hybridised to an expanded version of the porcine microarray with 26879 unique PCR products. Results A total of 357 genes differed significantly in expression between infected and non-infected lung tissue, 713 genes differed in expression in liver tissue from infected versus non-infected animals and 130 genes differed in expression in tracheobronchial lymph node tissue from infected versus non-infected animals. Among these genes, several have previously been described to be part of a general host response to infections encoding immune response related proteins. In inflamed lung tissue, genes encoding immune activating proteins and other pro-inflammatory mediators of the innate immune response were found to be up-regulated. Genes encoding different acute phase reactants were found to be differentially expressed in the liver. Conclusion The obtained results are largely in accordance with previous studies of the mammalian immune response. Furthermore, a number of differentially expressed genes have not previously been associated

  6. Use of the cDNA microarray technology in the safety assessment of GM food plants

    OpenAIRE

    Kok, E.J.; Kleter, G.A.; van Dijk

    2003-01-01

    This report focuses on new analytical approaches that might give more insight into possible changes in a genetically modified plant. Primarily the focus is on the new DNA microarray technique but also proteomics and metabolomics are discussed.The report describes the new techniques and evaluates the potentials and applications of the techniques as a tool in safety assessment of genetically modified plants. The background for this evaluation of new techniques is that some concerns have been ra...

  7. Use of the cDNA microarray technology in thesafety assessment of GM food plants

    OpenAIRE

    Pedersen, Jan W.; Knudsen, Ib; Eriksen, Folmer Damsted; Kärenlampi, S.; Mikalsen, A; Hammerling, U; Kok, E.; Bak, S.; Nielsen, Henrik Bjørn

    2003-01-01

    This report focuses on new analytical approaches that might give more insight into possible changes in a genetically modified plant. Primarily the focus is on the new DNA microarray technique but also proteomics and metabolomics are discussed.The report describes the new techniques and evaluates the potentials and applications of the techniques as a tool in safety assessment of genetically modified plants. The background for this evaluation of new techniques is that some concerns have been ra...

  8. Genome-wide estimation of transcript concentrations from spotted cDNA microarray data

    OpenAIRE

    Frigessi, Arnoldo; van de Wiel, Mark A; Holden, Marit; Svendsrud, Debbie H; Glad, Ingrid K; Lyng, Heidi

    2005-01-01

    A method providing absolute transcript concentrations from spotted microarray intensity data is presented. Number of transcripts per µg total RNA, mRNA or per cell, are obtained for each gene, enabling comparisons of transcript levels within and between tissues. The method is based on Bayesian statistical modelling incorporating available information about the experiment from target preparation to image analysis, leading to realistically large confidence intervals for estimated concentrations...

  9. cDNA microarray analysis of rat alveolar epithelial cells following exposure to organic extract of diesel exhaust particles

    International Nuclear Information System (INIS)

    Diesel exhaust particles (DEP) induce pulmonary diseases including asthma and chronic bronchitis. Comprehensive evaluation is required to know the mechanisms underlying the effects of air pollutants including DEP on lung diseases. Using a cDNA microarray, we examined changes in gene expression in SV40T2 cells, a rat alveolar type II epithelial cell line, following exposure to an organic extract of DEP. We identified candidate sensitive genes that were up- or down-regulated in response to DEP. The cDNA microarray analysis revealed that a 6-h exposure to the DEP extract (30 μg/ml) increased (>2-fold) the expression of 51 genes associated with drug metabolism, antioxidation, cell cycle/proliferation/apoptosis, coagulation/fibrinolysis, and expressed sequence tags (ESTs), and decreased (<0.5-fold) that of 20 genes. In the present study, heme oxygenase (HO)-1, an antioxidative enzyme, showed the maximum increase in gene expression; and type II transglutaminase (TGM-2), a regulator of coagulation, showed the most prominent decrease among the genes. We confirmed the change in the HO-1 protein level by Western blot analysis and that in the enzyme activity of TGM-2. The organic extract of DEP increased the expression of HO-1 protein and decreased the enzyme activity of TGM-2. Furthermore, these effects of DEP on either HO-1 or TGM-2 were reduced by N-acetyl-L-cysteine (NAC), thus suggesting that oxidative stress caused by this organic fraction of DEP may have induced these cellular responses. Therefore, an increase in HO-1 and a decrease in TGM-2 might be good markers of the biological response to organic compounds of airborne particulate substances

  10. Feasibility study on blood sample investigations from former Wismut employees with respect to possible biomarkers for arsenic or radiation exposure using proteomics and cDNA microarray technologies. Final report

    International Nuclear Information System (INIS)

    The final report on the feasibility of blood sample investigations from former Wismut employees with respect to possible biomarkers for arsenic or radiation exposure using proteomics and cDNA microarray technologies covers the following topics: blood samples; methodologies: 2D gel electrophoresis; protein identification using MALDI-MS; accomplishment and evaluation of the proteomics and cDNA microarray analysis.

  11. Use of the cDNA microarray technology in thesafety assessment of GM food plants

    DEFF Research Database (Denmark)

    Pedersen, Jan W.; Knudsen, Ib; Eriksen, Folmer Damsted;

    the potentials and applications of the techniques as a tool in safety assessment of genetically modified plants. The background for this evaluation of new techniques is that some concerns have been raised about the targeted approach used for evaluating the health risk of GM-plants. Today, an important......This report focuses on new analytical approaches that might give more insight into possible changes in a genetically modified plant. Primarily the focus is on the new DNA microarray technique but also proteomics and metabolomics are discussed.The report describes the new techniques and evaluates...

  12. cDNA Microarray Analysis of Serially Sampled Cervical Cancer Specimens From Patients Treated With Thermochemoradiotherapy

    International Nuclear Information System (INIS)

    Purpose: To elucidate changes in gene expression after treatment with regional thermochemoradiotherapy in locally advanced squamous cell cervical cancer. Methods and Materials: Tru-Cut biopsy specimens were serially collected from 16 patients. Microarray gene expression levels before and 24 h after the first and second trimodality treatment sessions were compared. Pathway and network analyses were conducted by use of Ingenuity Pathways Analysis (IPA; Ingenuity Systems, Redwood City, CA). Single gene expressions were analyzed by quantitative real-time reverse transcription-polymerase chain reaction. Results: We detected 53 annotated genes that were differentially expressed after trimodality treatment. Central in the three top networks detected by IPA were interferon alfa, interferon beta, and interferon gamma receptor; nuclear factor κB; and tumor necrosis factor, respectively. These genes encode proteins that are important in regulation cell signaling, proliferation, gene expression, and immune stimulation. Biological processes over-represented among the 53 genes were fibrosis, tumorigenesis, and immune response. Conclusions: Microarrays showed minor changes in gene expression after thermochemoradiotherapy in locally advanced cervical cancer. We detected 53 differentially expressed genes, mainly involved in fibrosis, tumorigenesis, and immune response. A limitation with the use of serial biopsy specimens was low quality of ribonucleic acid from tumors that respond to highly effective therapy. Another 'key limitation' is timing of the post-treatment biopsy, because 24 h may be too late to adequately assess the impact of hyperthermia on gene expression.

  13. Microarray analysis of gene expression profiles in ripening pineapple fruits

    Directory of Open Access Journals (Sweden)

    Koia Jonni H

    2012-12-01

    Full Text Available Abstract Background Pineapple (Ananas comosus is a tropical fruit crop of significant commercial importance. Although the physiological changes that occur during pineapple fruit development have been well characterized, little is known about the molecular events that occur during the fruit ripening process. Understanding the molecular basis of pineapple fruit ripening will aid the development of new varieties via molecular breeding or genetic modification. In this study we developed a 9277 element pineapple microarray and used it to profile gene expression changes that occur during pineapple fruit ripening. Results Microarray analyses identified 271 unique cDNAs differentially expressed at least 1.5-fold between the mature green and mature yellow stages of pineapple fruit ripening. Among these 271 sequences, 184 share significant homology with genes encoding proteins of known function, 53 share homology with genes encoding proteins of unknown function and 34 share no significant homology with any database accession. Of the 237 pineapple sequences with homologs, 160 were up-regulated and 77 were down-regulated during pineapple fruit ripening. DAVID Functional Annotation Cluster (FAC analysis of all 237 sequences with homologs revealed confident enrichment scores for redox activity, organic acid metabolism, metalloenzyme activity, glycolysis, vitamin C biosynthesis, antioxidant activity and cysteine peptidase activity, indicating the functional significance and importance of these processes and pathways during pineapple fruit development. Quantitative real-time PCR analysis validated the microarray expression results for nine out of ten genes tested. Conclusions This is the first report of a microarray based gene expression study undertaken in pineapple. Our bioinformatic analyses of the transcript profiles have identified a number of genes, processes and pathways with putative involvement in the pineapple fruit ripening process. This study

  14. Phenotype microarray profiling of the antibacterial activity of red cabbage

    Directory of Open Access Journals (Sweden)

    Hafidh RR

    2012-06-01

    Full Text Available Background: Functional food can be a potent source of wide array of biocomonents with antimicrobial activity. We investigated the antibacterial activity of red cabbage (RC extract on Gram negative and positive ATCC strains. Most intersting, we, for the first time, explored and analysed the complete phenotypic profile of RC-treated bacteria using Omnilog Phenotype Microarray. Results: This study revealed that the phenotype microarray (PM screen was a valuable tool in the search for compounds and their antibacterial mechanisms that can inhibit bacterial growth by affecting certain metabolic pathways. It was shown that RC exerted remarkable antibacterial effect on S. aureus and E. coli bacteria, and PM showed a wide range phenotypic profile of the exerted RC antibacterial activity. RC targeted the peptide, carbon, nutriontional assembly, and sulfur metbolic pathways altogether. The peptidoglycan synthesis pathway was inferred to be targeted by RC extract at a metabolic point different from other available cell wall-targeting drugs; these could be hot targets for the discovery of new therapy for many problematic microbes.Conclusions: Taken together, the phenotype microarray for functional food and medicinal plants can be a very useful tool for profiling their antimicrobial activity. Moreover, extracts of functional food can exert antibacterial activity by hitting a wide range of metabolic pathways, at the same time leading to very difficult condition for bacteria to rapidly develop resistance. Therefore, using functional foods or medicinal plants as such, or as extracts, can be superior on mono-targeting antibiotics if the optimal concentrations and conditions of these functional foods were sought.

  15. Gene expression profiling in peanut using high density oligonucleotide microarrays

    Directory of Open Access Journals (Sweden)

    Burow Mark

    2009-06-01

    Full Text Available Abstract Background Transcriptome expression analysis in peanut to date has been limited to a relatively small set of genes and only recently has a significant number of ESTs been released into the public domain. Utilization of these ESTs for oligonucleotide microarrays provides a means to investigate large-scale transcript responses to a variety of developmental and environmental signals, ultimately improving our understanding of plant biology. Results We have developed a high-density oligonucleotide microarray for peanut using 49,205 publicly available ESTs and tested the utility of this array for expression profiling in a variety of peanut tissues. To identify putatively tissue-specific genes and demonstrate the utility of this array for expression profiling in a variety of peanut tissues, we compared transcript levels in pod, peg, leaf, stem, and root tissues. Results from this experiment showed 108 putatively pod-specific/abundant genes, as well as transcripts whose expression was low or undetected in pod compared to peg, leaf, stem, or root. The transcripts significantly over-represented in pod include genes responsible for seed storage proteins and desiccation (e.g., late-embryogenesis abundant proteins, aquaporins, legumin B, oil production, and cellular defense. Additionally, almost half of the pod-abundant genes represent unknown genes allowing for the possibility of associating putative function to these previously uncharacterized genes. Conclusion The peanut oligonucleotide array represents the majority of publicly available peanut ESTs and can be used as a tool for expression profiling studies in diverse tissues.

  16. Dysregulated Mitochondrial Genes and Networks with Drug Targets in Postmortem Brain of Patients with Posttraumatic Stress Disorder (PTSD Revealed by Human Mitochondria-Focused cDNA Microarrays

    Directory of Open Access Journals (Sweden)

    Yan A. Su, Jun Wu, Lei Zhang, Qiuyang Zhang, David M. Su, Ping He, Bi-Dar Wang, He Li, Maree J. Webster, Traumatic Stress Brain Study Group, Owen M. Rennert, Robert J. Ursano

    2008-01-01

    Full Text Available Posttraumatic stress disorder (PTSD is associated with decreased activity in the dorsolateral prefrontal cortex (DLPFC, the brain region that regulates working memory and preparation and selection of fear responses. We investigated gene expression profiles in DLPFC Brodmann area (BA 46 of postmortem patients with (n=6 and without PTSD (n=6 using human mitochondria-focused cDNA microarrays. Our study revealed PTSD-specific expression fingerprints of 800 informative mitochondria-focused genes across all of these 12 BA46 samples, and 119 (±>1.25, p<0.05 and 42 (±>1.60, p<0.05 dysregulated genes between the PTSD and control samples. Quantitative RT-PCR validated the microarray results. These fingerprints can essentially distinguish the PTSD DLPFC BA46 brains from controls. Of the 119 dysregulated genes (±≥125%, p<0.05, the highest percentages were associated with mitochondrial dysfunction (4.8%, p=6.61x10-6, oxidative phosphorylation (3.8%, p=9.04x10-4, cell survival-apoptosis (25.2%, p<0.05 and neurological diseases (23.5%, p<0.05. Fifty (50 dysregulated genes were present in the molecular networks that are known to be involved in neuronal function-survival and contain 7 targets for neuropsychiatric drugs. Thirty (30 of the dysregulated genes are associated with a number of neuropsychiatric disorders. Our results indicate mitochondrial dysfunction in the PTSD DLPFC BA46 and provide the expression fingerprints that may ultimately serve as biomarkers for PTSD diagnosis and the drugs and molecular targets that may prove useful for development of remedies for prevention and treatment of PTSD.

  17. DIFFERENTIAL EXPRESSION OF GENES IN OMENTAL FAT OF NORMAL WEIGHT AND OBESE SUBJECTS AND OBESE DIABETIC PATIENTS USING cDNA MICROARRAY

    Institute of Scientific and Technical Information of China (English)

    LUO Tian-hong; ZHENG Pei-zheng; ZHAO Chun-jun; ZHAO Yu; LI Guo; ZHANG Hong-li; LI Wen-yi; LIU You-ping; LUO Min; WANG Kan-kan; ZHANG Ji

    2007-01-01

    Objective To identify genes differentially expressed in omental fat of normal weight subjects,obese subjects and obese diabetic patients. Methods Using a high-density cDNA microarray, gene expression profile of omental fat from normal weigh subjects, obese subjects and obese diabetic patients were compared.Results Totally, 119 and 257 genes were up-regulated in obese subjects and obese diabetic patients respectively,while 46 and 58 genes were down-regulated. A total of 77 genes, including PDK4, which switched from carbohydrate to fatty acids as the primary source of fuel, were up-regulated in both obese and obese diabetic patients, while 8 genes, including key enzymes in lipid synthesis, such as HMG-CoA synthase, fatty acid synthase and stearoyl-CoA desaturase, were down-regulated in both groups. Tyrosine-3-monooxygenase/tryptophan 5-monooxygenase activation protein θ ( YWHAZ) , a negative regulator for insulin signal transduction, was up-regulated only in obese diabetic patient, but not in normal-glycemic obese subjects. Conclusion The study demonstrated that decrease of lipogenesis along with increase of fatty acids oxidation of adipose tissue could be a common cause of insulin resistance in obesity and type 2 diabetes, while block of insulin signal transduction may trigger the transition from obesity to diabetes. Further exploration of these genes will be useful in the understanding of the pathogenesis of obesity and diabetes.

  18. Comparative analysis of gene expression at early seedling stage between a rice hybrid and its parents using a cDNA microarray of 9198 uni-sequences

    Institute of Scientific and Technical Information of China (English)

    HUANG; Yi; LI; Lihua; CHEN; Ying; LI; Xianghua; XU; Caiguo; WANG; Shiping; ZHANG; Qifa

    2006-01-01

    Using a cDNA microarray consisting of 9198 expressed sequence tags, we surveyed the gene expression profiles in shoots and roots of a rice hybrid, Liangyoupei 9 and its parents Peiai 64s and 93-11 at 72 h after germination. A total of 8587 sequences had detectable signals in both shoots and roots of the three genotypes. A total of 1571 sequences exhibited significant (P<0.01) expression differences in shoots or roots among the three genotypes, of which 121 showed expression polymorphisms in both shoots and roots, and 870 revealed significant expression differences between the hybrid and one of the parents. The expression polymorphism of the sequences was associated with the functional categories of the sequences. They occurred more frequently in categories of carbohydrate, energy and lipid metabolisms and stress response than expected, while less frequently in categories of amino acid metabolism, transcription and translation regulation, and signal transduction. A total of 214 sequences exhibited significant (P<0.05) mid-parent heterosis in expression, of which 117 had homology to genes with known functions, assigned in the categories of basic metabolism, genetic information processing, cell growth and death, signal transduction, transportation and stress response. The results may provide useful information for exploring the relationship between gene expression polymorphism and phenotypic variation, and for characterizing the molecular mechanism of seedling development and heterosis in rice.

  19. A novel time-course cDNA microarray analysis method identifies genes associated with the development of cisplatin resistance.

    Science.gov (United States)

    Whiteside, Martin A; Chen, Dung-Tsa; Desmond, Renee A; Abdulkadir, Sarki A; Johanning, Gary L

    2004-01-22

    In recent years, most cDNA microarray studies of chemotherapeutic drug resistance have not considered the temporal pattern of gene expression. The objective of this study was to examine systematically changes in gene expression of NCI-H226 and NCI-H2170 lung cancer cells treated weekly with IC10 doses of cisplatin. NCI-H226 lung cancer cells were treated weekly with an IC10 dose of cisplatin. Candidate genes with a fold change of 2.0 or more were identified from this study. A second experiment was conducted by exposing NCI-H2170 cells to cisplatin doses that were increased in week 4 and decreased in week 5. Overall, 44 genes were differentially expressed in both the NCI-H226 and NCI-H2170 cell lines. In the NCI-H2170 cell line, 24 genes had a twofold gene expression change from weeks 3 to 4. Real-time PCR found a significant correlation of the gene expression changes for seven genes of interest. This small time-ordered series identified novel genes associated with cisplatin resistance. This kind of analysis should be viewed as a first step towards building gene-regulatory networks. PMID:14737109

  20. Cross-species hybridizations on a multi-species cDNA microarray to identify evolutionarily conserved genes expressed in oocytes

    OpenAIRE

    Palin Marie-France; Méthot Steve; Robert Claude; Vallée Maud; Sirard Marc-André

    2006-01-01

    Abstract Background Comparative genomic analysis using cDNA microarray is a new approach and a useful tool to identify important genetic sequences or genes that are conserved throughout evolution. Identification of these conserved sequences will help elucidate important molecular mechanisms or pathways common to many species. For example, the stockpiled transcripts in the oocyte necessary for successful fertilization and early embryonic development still remain relatively unknown. The objecti...

  1. cDNA microarray in isolation of novel differentially expressed genes related to human glioma and clone of a novel full-length gene

    Institute of Scientific and Technical Information of China (English)

    QI Zhen-yu; HUI Guo-zhen; LI Yao; ZHOU Zong-xiang; GU Shao-hua; YING Kang; XIE Yi

    2005-01-01

    Background This investigation was undertaken to obtain differentially expressed genes related to human glioma using cDNA microarray and the characterization of one novel full-length gene. Methods Total RNA was extracted from human glioma tissues and normal brain tissues, and mRNA was used to make probes. After hybridization and washing, the results were scanned using a computer system. The gene named 681F05 clone was an expressed gene to human glioma through four-time hybridization and scanning. Subsequently northern blot analysis was performed by northern blot, 5'RACE and bioinformatics. Results Fifteen differentially expressed genes to human glioma were obtained through four-time hybridization and scanning. Northern blot analysis confirmed that 681F05 clone was low-expressed in human brain tissues and over-expressed in human glioma tissues. The analysis of BLASTn and BLASTx showed that 681F05 clone is two cDNA clones encoding two novel proteins that are highly identified to the cyclophilin isoform 10 of C. Elgans, respectively. Sequence analysis revealed the two cDNA clones are two different splicing variants of a novel cycophilin-like gene (PPIL3a and PPIL3b).Conclusions cDNA microarray technology can be successfully used to identify differentially expressed genes. The novel full-length gene of human PPIL3 may be correlated with the formation of human glioma.

  2. Digital analysis of cDNA abundance; expression profiling by means of restriction fragment fingerprinting

    Directory of Open Access Journals (Sweden)

    Regenbogen Johannes

    2002-03-01

    Full Text Available Abstract Background Gene expression profiling among different tissues is of paramount interest in various areas of biomedical research. We have developed a novel method (DADA, Digital Analysis of cDNA Abundance, that calculates the relative abundance of genes in cDNA libraries. Results DADA is based upon multiple restriction fragment length analysis of pools of clones from cDNA libraries and the identification of gene-specific restriction fingerprints in the resulting complex fragment mixtures. A specific cDNA cloning vector had to be constructed that governed missing or incomplete cDNA inserts which would generate misleading fingerprints in standard cloning vectors. Double stranded cDNA was synthesized using an anchored oligo dT primer, uni-directionally inserted into the DADA vector and cDNA libraries were constructed in E. coli. The cDNA fingerprints were generated in a PCR-free procedure that allows for parallel plasmid preparation, labeling, restriction digest and fragment separation of pools of 96 colonies each. This multiplexing significantly enhanced the throughput in comparison to sequence-based methods (e.g. EST approach. The data of the fragment mixtures were integrated into a relational database system and queried with fingerprints experimentally produced by analyzing single colonies. Due to limited predictability of the position of DNA fragments on the polyacrylamid gels of a given size, fingerprints derived solely from cDNA sequences were not accurate enough to be used for the analysis. We applied DADA to the analysis of gene expression profiles in a model for impaired wound healing (treatment of mice with dexamethasone. Conclusions The method proved to be capable of identifying pharmacologically relevant target genes that had not been identified by other standard methods routinely used to find differentially expressed genes. Due to the above mentioned limited predictability of the fingerprints, the method was yet tested only with

  3. cDNA macroarray for analysis of gene expression profiles in prostate cancer

    Institute of Scientific and Technical Information of China (English)

    2006-01-01

    Background Early diagnosis and timely treatment are important for improving therapeutic efficiency of prostate cancer. DNA array is a new bio-technology for disease diagnosis. This study was conducted to diagnose prostate cancer with cDNA macroarray and analysis gene expression profiles of some selective genes in prostate cancer.Methods Total RNA was isolated from patients with prostate cancer and from normal people, and poly(A) RNA was further purified. Then it was analyzed for differentially expressed genes in prostate cancer and normal prostate by cDNA macroarray system.Results There were different expressions in the nine prostate-associated specific genes in prostate cancer as compared with normal prostate, in which, 7 were significantly upregulated and 2 were down-regulated.Conclusion As a diagnostic approach at molecular level, the cDNA macroarray is an effectively diagnostic method for prostate cancer.

  4. Chaperone network composition in Solanum lycopersicum explored by transcriptome profiling and microarray meta-analysis.

    Science.gov (United States)

    Fragkostefanakis, Sotirios; Simm, Stefan; Paul, Puneet; Bublak, Daniela; Scharf, Klaus-Dieter; Schleiff, Enrico

    2015-04-01

    Heat shock proteins (Hsps) are molecular chaperones primarily involved in maintenance of protein homeostasis. Their function has been best characterized in heat stress (HS) response during which Hsps are transcriptionally controlled by HS transcription factors (Hsfs). The role of Hsfs and Hsps in HS response in tomato was initially examined by transcriptome analysis using the massive analysis of cDNA ends (MACE) method. Approximately 9.6% of all genes expressed in leaves are enhanced in response to HS, including a subset of Hsfs and Hsps. The underlying Hsp-Hsf networks with potential functions in stress responses or developmental processes were further explored by meta-analysis of existing microarray datasets. We identified clusters with differential transcript profiles with respect to abiotic stresses, plant organs and developmental stages. The composition of two clusters points towards two major chaperone networks. One cluster consisted of constitutively expressed plastidial chaperones and other genes involved in chloroplast protein homeostasis. The second cluster represents genes strongly induced by heat, drought and salinity stress, including HsfA2 and many stress-inducible chaperones, but also potential targets of HsfA2 not related to protein homeostasis. This observation attributes a central regulatory role to HsfA2 in controlling different aspects of abiotic stress response and tolerance in tomato. PMID:25124075

  5. Modulation of GdCl3 and Angelica Sinensis polysaccharides on differentially expressed genes in liver of hepatic immunological injury mice by cDNA microarray

    Institute of Scientific and Technical Information of China (English)

    Hong Ding; Gang-Gang Shi; Xin Yu; Jie-Ping Yu; Jie-An Huang

    2003-01-01

    AIM: To study the modulating effect of GdCl3 and Angelica Sinensis polysaccharides (ASP) on differentially expressed genes in liver of hepatic immunological mice by cDNA microarray.METHODS: Hepatic immunological injury was induced by lipopolysaccharide (LPS ip, 0.2 mg.kg-1) in bacillus calmetteguerin (BCG ip, 1 mg.kg-1) primed mice; A single dose of 20 mg.kg-1 GdCl3 was simultaneously pretreated and 30 mg.kg-1 ASP (ig, qd×7 d) was administrated when the BCG+LPS was primed. The mice were sacrificed at the end of the 7th day after ip LPS for 6 h and the liver was removed quickly. The PCR products of 512 genes were spotted onto a chemical material-coated glass plate in array. The DNAs were fixed to the glass plate after series of treatments. The total RNAs were isolated from the liver tissue, and were purified to mRNAs by Oligotex.Both mRNAs from the normal liver tissue and the liver tissue from the mice with hepatic immunological injury or that pretreated with GdCl3 or ASP were reversely transcribed to cDNAs with the incorporation of fluorescent dUTP to prepare the hybridization probes. The mixed probes were hybridized to the cDNA microarray. After highstringent washing, the cDNA microarray was scanned for fluorescent signals and showed differences between the two tissues.RESULTS: Among the 512 target genes, 18 differed in liver tissue of hepatic immunological injury mice, and 6 differed in those pretreated by ASP, 7 differed in those pretreated by GdCl3.CONCLUSION: cDNA microarray technique is effective in screening the differentially expressed genes between two different kinds of tissue. Further analysis of those obtained genes will be helpful to understand the molecular mechanism of hepatic immunological injury and to study the intervention of drug. Both ASP and GdCl3 can decrease the number of the differentially expressed genes in liver tissue of mice with hepatic immunological injury.

  6. Exploration of high-density protein microarrays for antibody validation and autoimmunity profiling.

    Science.gov (United States)

    Sjöberg, Ronald; Mattsson, Cecilia; Andersson, Eni; Hellström, Cecilia; Uhlen, Mathias; Schwenk, Jochen M; Ayoglu, Burcu; Nilsson, Peter

    2016-09-25

    High-density protein microarrays of recombinant human protein fragments, representing 12,412 unique Ensembl Gene IDs, have here been produced and explored. These protein microarrays were used to analyse antibody off-target interactions, as well as for profiling the human autoantibody repertoire in plasma against the antigens represented by the protein fragments. Affinity-purified polyclonal antibodies produced within the Human Protein Atlas (HPA) were analysed on microarrays of three different sizes, ranging from 384 antigens to 21,120 antigens, for evaluation of the antibody validation criteria in the HPA. Plasma samples from secondary progressive multiple sclerosis patients were also screened in order to explore the feasibility of these arrays for broad-scale profiling of autoantibody reactivity. Furthermore, analysis on these near proteome-wide microarrays was complemented with analysis on HuProt™ Human Proteome protein microarrays. The HPA recombinant protein microarray with 21,120 antigens and the HuProt™ Human Proteome protein microarray are currently the largest protein microarray platforms available to date. The results on these arrays show that the Human Protein Atlas antibodies have few off-target interactions if the antibody validation criteria are kept stringent and demonstrate that the HPA-produced high-density recombinant protein fragment microarrays allow for a high-throughput analysis of plasma for identification of possible autoantibody targets in the context of various autoimmune conditions. PMID:26417875

  7. Radioactive human cDNA microarray: comparison of anti-cancer effect between 8-chloro-cAMP and 8-chloro-adenosine

    International Nuclear Information System (INIS)

    Eight-chloroadenosine 3.5-monophosphate (8-Cl-cAMP), a site-selective cyclic adenosine 3,5-monophosphate (cAMP) analogue, exhibits growth inhibition in a broad spectrum of cancer cell lines. Nonetheless, there has been a debate as to whether it is a prodrug for its 8-Cl-adenosine metabolite. Using human cDNA microarray, we investigated a pattern of gene regulation under the treatment of 8-Cl-cAMP and 8-Cl-adenosine in PC3M (ATCC CRL-1435; human prostate cancer cell line). The general methodology of arraying is based on the procedures of DeRisi, et al. (Nature Genetics 14: 48, 1996). The gene expression in PC3M by treating 8-Cl-cAMP 8-Cl-adenosine demonstrated a different pattern compared with nontreated control: bifurcated types for up-regulation but a single-directed type for down-regulation. In summary, we demonstrated that the human cDNA microarray is highly likely to be an efficient technology for evaluating the gene regulation of anti-cancer therapeutic agents, such as 8-Cl-cAMP vs. 8-Cl-adenosine, which has been controverted for a long time

  8. Reproducibility of quantitative RT-PCR array in miRNA expression profiling and comparison with microarray analysis

    Directory of Open Access Journals (Sweden)

    McManus Linda M

    2009-08-01

    Full Text Available Abstract Background MicroRNAs (miRNAs have critical functions in various biological processes. MiRNA profiling is an important tool for the identification of differentially expressed miRNAs in normal cellular and disease processes. A technical challenge remains for high-throughput miRNA expression analysis as the number of miRNAs continues to increase with in silico prediction and experimental verification. Our study critically evaluated the performance of a novel miRNA expression profiling approach, quantitative RT-PCR array (qPCR-array, compared to miRNA detection with oligonucleotide microchip (microarray. Results High reproducibility with qPCR-array was demonstrated by comparing replicate results from the same RNA sample. Pre-amplification of the miRNA cDNA improved sensitivity of the qPCR-array and increased the number of detectable miRNAs. Furthermore, the relative expression levels of miRNAs were maintained after pre-amplification. When the performance of qPCR-array and microarrays were compared using different aliquots of the same RNA, a low correlation between the two methods (r = -0.443 indicated considerable variability between the two assay platforms. Higher variation between replicates was observed in miRNAs with low expression in both assays. Finally, a higher false positive rate of differential miRNA expression was observed using the microarray compared to the qPCR-array. Conclusion Our studies demonstrated high reproducibility of TaqMan qPCR-array. Comparison between different reverse transcription reactions and qPCR-arrays performed on different days indicated that reverse transcription reactions did not introduce significant variation in the results. The use of cDNA pre-amplification increased the sensitivity of miRNA detection. Although there was variability associated with pre-amplification in low abundance miRNAs, the latter did not involve any systemic bias in the estimation of miRNA expression. Comparison between

  9. Microarray-based RNA profiling of breast cancer

    DEFF Research Database (Denmark)

    Larsen, Martin J; Thomassen, Mads; Tan, Qihua;

    2014-01-01

    analyzed the same 234 breast cancers on two different microarray platforms. One dataset contained known batch-effects associated with the fabrication procedure used. The aim was to assess the significance of correcting for systematic batch-effects when integrating data from different platforms. We here...

  10. Identification of differentially-expressed genes potentially implicated in drought response in pitaya (Hylocereus undatus) by suppression subtractive hybridization and cDNA microarray analysis.

    Science.gov (United States)

    Fan, Qing-Jie; Yan, Feng-Xia; Qiao, Guang; Zhang, Bing-Xue; Wen, Xiao-Peng

    2014-01-01

    Drought is one of the most severe threats to the growth, development and yield of plant. In order to unravel the molecular basis underlying the high tolerance of pitaya (Hylocereus undatus) to drought stress, suppression subtractive hybridization (SSH) and cDNA microarray approaches were firstly combined to identify the potential important or novel genes involved in the plant responses to drought stress. The forward (drought over drought-free) and reverse (drought-free over drought) suppression subtractive cDNA libraries were constructed using in vitro shoots of cultivar 'Zihonglong' exposed to drought stress and drought-free (control). A total of 2112 clones, among which half were from either forward or reverse SSH library, were randomly picked up to construct a pitaya cDNA microarray. Microarray analysis was carried out to verify the expression fluctuations of this set of clones upon drought treatment compared with the controls. A total of 309 expressed sequence tags (ESTs), 153 from forward library and 156 from reverse library, were obtained, and 138 unique ESTs were identified after sequencing by clustering and blast analyses, which included genes that had been previously reported as responsive to water stress as well as some functionally unknown genes. Thirty six genes were mapped to 47 KEGG pathways, including carbohydrate metabolism, lipid metabolism, energy metabolism, nucleotide metabolism, and amino acid metabolism of pitaya. Expression analysis of the selected ESTs by reverse transcriptase polymerase chain reaction (RT-PCR) corroborated the results of differential screening. Moreover, time-course expression patterns of these selected ESTs further confirmed that they were closely responsive to drought treatment. Among the differentially expressed genes (DEGs), many are related to stress tolerances including drought tolerance. Thereby, the mechanism of drought tolerance of this pitaya genotype is a very complex physiological and biochemical process, in

  11. Mouse protein arrays from a TH1 cell cDNA library for antibody screening and serum profiling

    OpenAIRE

    Gutjahr, C.; Murphy, D.; Lueking, A.; Koenig, A.; Janitz, M; O'Brien, J.; Korn, B. (Bernhard); S. Horn; Lehrach, H; Cahill, D.

    2005-01-01

    The mouse is the premier genetic model organism for the study of disease and development. We describe the establishment of a mouse T helper cell type 1 (TH1) protein expression library that provides direct access to thousands of recombinant mouse proteins, in particular those associated with immune responses. The advantage of a system based on the combination of large cDNA expression libraries with microarray technology is the direct connection of the DNA sequence information from a particula...

  12. Insights into the iron and sulfur energetic metabolism of Acidithiobacillus ferrooxidans by microarray transcriptome profiling

    Energy Technology Data Exchange (ETDEWEB)

    R. Quatrini; C. Appia-Ayme; Y. Denis; J. Ratouchniak; F. Veloso; J. Valdes; C. Lefimil; S. Silver; F. Roberto; O. Orellana; F. Denizot; E. Jedlicki; D. Holmes; V. Bonnefoy

    2006-09-01

    Acidithiobacillus ferrooxidans is a well known acidophilic, chemolithoautotrophic, Gram negative, bacterium involved in bioleaching and acid mine drainage. In aerobic conditions, it gains energy mainly from the oxidation of ferrous iron and/or reduced sulfur compounds present in ores. After initial oxidation of the substrate, electrons from ferrous iron or sulfur enter respiratory chains and are transported through several redox proteins to oxygen. However, the oxidation of ferrous iron and reduced sulfur compounds has also to provide electrons for the reduction of NAD(P) that is subsequently required for many metabolic processes including CO2 fixation. To help to unravel the enzymatic pathways and the electron transfer chains involved in these processes, a genome-wide microarray transcript profiling analysis was carried out. Oligonucleotides corresponding to approximately 3000 genes of the A. ferrooxidans type strain ATCC23270 were spotted onto glass-slides and hybridized with cDNA retrotranscribed from RNA extracted from ferrous iron and sulfur grown cells. The genes which are preferentially transcribed in ferrous iron conditions and those preferentially transcribed in sulfur conditions were analyzed. The expression of a substantial number of these genes has been validated by real-time PCR, Northern blot hybridization and/or immunodetection analysis. Our results support and extend certain models of iron and sulfur oxidation and highlight previous observations regarding the possible presence of alternate electron pathways. Our findings also suggest ways in which iron and sulfur oxidation may be co-ordinately regulated. An accompanying paper (Appia-Ayme et al.) describes results pertaining to other metabolic functions.

  13. Monitoring microarray-based gene expression profile changes in hepatocellular carcinoma

    Institute of Scientific and Technical Information of China (English)

    Hong-Ju Mao; Hong-Nian Li; Xiao-Mei Zhou; Jian-Long Zhao; Da-Fang Wan

    2005-01-01

    AIM: To find out key genes responsible for hepatocarc inogenesis and to further understand the underlying molecular mechanism through investigating the differential gene expression between human normal liver tissue and hepatocellular carcinoma (HCC).METHODS: DNA microarray was prepared by spotting PCR products of 1 000 human genes including 445 novel genes, 540 known genes as well as 12 positive (housekeeping) and 3 negative controls (plant gene) onto treated glass slides. cDNA probes were prepared by labeling normal liver tissue mRNA and cancer liver tissue mRNA with Cy3-dUTP and Cy5-dUTP separately through reverse transcription. The arrays were hybridized against the cDNA probe and the fluorescent signals were scanned. The dataobtained from repeated experiments were analyzed. RESULTS: Among the 20 couple samples investigated (from cancerous liver tissue and normal liver tissue), 38 genes including 21 novel genes and 17 known genes exhibited different expressions. CONCLUSION: cDNA microarray technique is powerful to identify candidate target genes that may play important roles in human carcinogenesis. Further analysis of the obtained genes is helpful to understand the molecular changes in HCC progression and ultimately may lead to the identification of new targets for HCC diagnosis and intervention.

  14. Establishment of cDNA Microarray Analysis at the Genomic Medicine Research Core Laboratory (GMRCL) of Chang Gung Memorial Hospital .

    OpenAIRE

    Tzu-Hao Wang; Yun-Shien Lee; En-Shih Chen; Wei-Hsiang Kong; Lung-Kun Chen; Ding-Wei Hsueh; Min-Li Wei; Hsing-Shih Wang; Ying-Shiung Lee

    2004-01-01

    Background: Advances in molecular and computational biology have led to the developmentof powerful, high-throughput methods for analysis of differential geneexpression, which are opening up new opportunities in genomic medicine.DNA microarray technology has been enthusiastically integrated into basicbiomedical research and will eventually become a molecular monitoring toolfor various clinical courses.Methods: As a core research facility of Chang Gung University (CGU) and ChangGung Memorial Ho...

  15. High-Resolution Analysis of Gene Copy Number Alterations in Human Prostate Cancer Using CGH on cDNA Microarrays: Impact of Copy Number on Gene Expression

    Directory of Open Access Journals (Sweden)

    Maija Wolf

    2004-05-01

    Full Text Available Identification of target genes for genetic rearrangements in prostate cancer and the impact of copy number changes on gene expression are currently not well understood. Here, we applied high-resolution comparative genomic hybridization (CGH on cDNA microarrays for analysis of prostate cancer cell lines. CGH microarrays identified most of the alterations detected by classical chromosomal CGH, as well as a number of previously unreported alterations. Specific recurrent regions of gain (28 and loss (18 were found, their boundaries defined with sub-megabasepair accuracy. The most common changes included copy number decreases at 13% and gains at iq and 5p. Refined mapping identified several sites, such as at 13q (33-44, 49-51, 74-76 Mbp from the p-telomere, which matched with minimal regions of loss seen in extensive loss of heterozygosity mapping studies of large numbers of tumors. Previously unreported recurrent changes were found at 2p, 2q, 3p, 17q (losses, at 3q, 5p, 6p (gains. Integration of genomic and transcriptomic data revealed the role of individual candidate target genes for genomic alterations as well as a highly significant (P < .0001 overall association between copy number levels and the percentage of differentially expressed genes. Across the genome, the overall impact of copy number on gene expression levels was, to a large extent, attributable to low-level gains and losses of copy number, corresponding to common deletions and gains of often large chromosomal regions.

  16. Identification of late O{sub 3}-responsive genes in Arabidopsis thaliana by cDNA microarray analysis

    Energy Technology Data Exchange (ETDEWEB)

    D' Haese, D. [Univ. of Antwerp, Dept. of Biology, Antwerp (BE) and Univ. of Newcastle, School of Biology and Psychology, Div. of Biology, Newcastle-Upon-Tyne (United Kingdom); Horemans, N.; Coen, W. De; Guisez, Y. [Univ. of Antwerp, Dept. of Biology, Antwerp (Belgium)

    2006-09-15

    To better understand the response of a plant to 0{sub 3} stress, an integrated microarray analysis was performed on Arabidopsis plants exposed during 2 days to purified air or 150 nl l{sup -1} O{sub 3}, 8 h day-l. Agilent Arabidopsis 2 Oligo Microarrays were used of which the reliability was confirmed by quantitative real-time PCR of nine randomly selected genes. We confirmed the O{sub 3} responsiveness of heat shock proteins (HSPs), glutathione-S-tranferases and genes involved in cell wall stiffening and microbial defence. Whereas, a previous study revealed that during an early stage of the O{sub 3} stress response, gene expression was strongly dependent on jasmonic acid and ethylene, we report that at a later stage (48 h) synthesis of jasrnonic acid and ethylene was downregulated. In addition, we observed the simultaneous induction of salicylic acid synthesis and genes involved in programmed cell death and senescence. Also typically, the later stage of the response to O{sub 3} appeared to be the induction of the complete pathway leading to the biosynthesis of anthocyanin diglucosides and the induction of thioredoxin-based redox control. Surprisingly absent in the list of induced genes were genes involved in ASC-dependent antioxidation, few of which were found to be induced after 12 h of 0{sub 3} exposure in another study. We discuss these and other particular results of the microarray analysis and provide a map depicting significantly affected genes and their pathways highlighting their interrelationships and subcellular localization. (au)

  17. RNA-seq and microarray complement each other in transcriptome profiling

    Directory of Open Access Journals (Sweden)

    Kogenaru Sunitha

    2012-11-01

    Full Text Available Abstract Background RNA-seq and microarray are the two popular methods employed for genome-wide transcriptome profiling. Current comparison studies have shown that transcriptome quantified by these two methods correlated well. However, none of them have addressed if they complement each other, considering the strengths and the limitations inherent with them. The pivotal requirement to address this question is the knowledge of a well known data set. In this regard, HrpX regulome from pathogenic bacteria serves as an ideal choice as the target genes of HrpX transcription factor are well studied due to their central role in pathogenicity. Results We compared the performance of RNA-seq and microarray in their ability to detect known HrpX target genes by profiling the transcriptome from the wild-type and the hrpX mutant strains of γ-Proteobacterium Xanthomonas citri subsp. citri. Our comparative analysis indicated that gene expression levels quantified by RNA-seq and microarray well-correlated both at absolute as well as relative levels (Spearman correlation-coefficient, rs > 0.76. Further, the expression levels quantified by RNA-seq and microarray for the significantly differentially expressed genes (DEGs also well-correlated with qRT-PCR based quantification (rs = 0.58 to 0.94. Finally, in addition to the 55 newly identified DEGs, 72% of the already known HrpX target genes were detected by both RNA-seq and microarray, while, the remaining 28% could only be detected by either one of the methods. Conclusions This study has significantly advanced our understanding of the regulome of the critical transcriptional factor HrpX. RNA-seq and microarray together provide a more comprehensive picture of HrpX regulome by uniquely identifying new DEGs. Our study demonstrated that RNA-seq and microarray complement each other in transcriptome profiling.

  18. Quality Control Usage in High-Density Microarrays Reveals Differential Gene Expression Profiles in Ovarian Cancer.

    Science.gov (United States)

    Villegas-Ruiz, Vanessa; Moreno, Jose; Jacome-Lopez, Karina; Zentella-Dehesa, Alejandro; Juarez-Mendez, Sergio

    2016-01-01

    There are several existing reports of microarray chip use for assessment of altered gene expression in different diseases. In fact, there have been over 1.5 million assays of this kind performed over the last twenty years, which have influenced clinical and translational research studies. The most commonly used DNA microarray platforms are Affymetrix GeneChip and Quality Control Software along with their GeneChip Probe Arrays. These chips are created using several quality controls to confirm the success of each assay, but their actual impact on gene expression profiles had not been previously analyzed until the appearance of several bioinformatics tools for this purpose. We here performed a data mining analysis, in this case specifically focused on ovarian cancer, as well as healthy ovarian tissue and ovarian cell lines, in order to confirm quality control results and associated variation in gene expression profiles. The microarray data used in our research were downloaded from ArrayExpress and Gene Expression Omnibus (GEO) and analyzed with Expression Console Software using RMA, MAS5 and Plier algorithms. The gene expression profiles were obtained using Partek Genomics Suite v6.6 and data were visualized using principal component analysis, heat map, and Venn diagrams. Microarray quality control analysis showed that roughly 40% of the microarray files were false negative, demonstrating over- and under-estimation of expressed genes. Additionally, we confirmed the results performing second analysis using independent samples. About 70% of the significant expressed genes were correlated in both analyses. These results demonstrate the importance of appropriate microarray processing to obtain a reliable gene expression profile. PMID:27268623

  19. Erratum: Colorectal Cancer Cell Surface Protein Profiling Using an Antibody Microarray and Fluorescence Multiplexing.

    Science.gov (United States)

    2015-01-01

    The author's email has been corrected in the publication of Colorectal Cancer Cell Surface Protein Profiling Using an Antibody Microarray and Fluorescence Multiplexing. There was an error with the author, Jerry Zhou's, email. The author's email has been updated to: j.zhou@uws.edu.au from: jzho7551@mail.usyd.edu.au. PMID:26167960

  20. Analysis of the effects of sex hormone background on the rat choroid plexus transcriptome by cDNA microarrays.

    Directory of Open Access Journals (Sweden)

    Telma Quintela

    Full Text Available The choroid plexus (CP are highly vascularized branched structures that protrude into the ventricles of the brain, and form a unique interface between the blood and the cerebrospinal fluid (CSF, the blood-CSF barrier, that are the main site of production and secretion of CSF. Sex hormones are widely recognized as neuroprotective agents against several neurodegenerative diseases, and the presence of sex hormones cognate receptors suggest that it may be a target for these hormones. In an effort to provide further insight into the neuroprotective mechanisms triggered by sex hormones we analyzed gene expression differences in the CP of female and male rats subjected to gonadectomy, using microarray technology. In gonadectomized female and male animals, 3045 genes were differentially expressed by 1.5-fold change, compared to sham controls. Analysis of the CP transcriptome showed that the top-five pathways significantly regulated by the sex hormone background are olfactory transduction, taste transduction, metabolism, steroid hormone biosynthesis and circadian rhythm pathways. These results represent the first overview of global expression changes in CP of female and male rats induced by gonadectomy and suggest that sex hormones are implicated in pathways with central roles in CP functions and CSF homeostasis.

  1. A microarray-based method for the parallel analysis of genotypes and expression profiles of wood-forming tissues in Eucalyptus grandis

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    Lezar Sabine

    2009-05-01

    Full Text Available Abstract Background Fast-growing Eucalyptus grandis trees are one of the most efficient producers of wood in South Africa. The most serious problem affecting the quality and yield of solid wood products is the occurrence of end splitting in logs. Selection of E. grandis planting stock that exhibit preferred wood qualities is thus a priority of the South African forestry industry. We used microarray-based DNA-amplified fragment length polymorphism (AFLP analysis in combination with expression profiling to develop fingerprints and profile gene expression of wood-forming tissue of seven different E. grandis trees. Results A 1578-probe cDNA microarray was constructed by arraying 768 cDNA-AFLP clones and 810 cDNA library clones from seven individual E. grandis trees onto silanised slides. The results revealed that 32% of the spotted fragments showed distinct expression patterns (with a fold change of at least 1.4 or -1.4 and a p value of 0.01 could be grouped into clusters representing co-expressed genes. Evaluation of the binary distribution of cDNA-AFLP fragments on the array showed that the individual genotypes could be discriminated. Conclusion A simple, yet general method was developed for genotyping and expression profiling of wood-forming tissue of E. grandis trees differing in their splitting characteristics and in their lignin contents. Evaluation of gene expression profiles and the binary distribution of cDNA-AFLP fragments on the chip suggest that the prototype chip developed could be useful for transcript profiling and for the identification of Eucalyptus trees with preferred wood quality traits in commercial breeding programmes.

  2. Genes associated with heavy metal tolerance and accumulation in Zn/Cd hyperaccumulator Arabidopsis halleri: a genomic survey with cDNA microarray.

    Science.gov (United States)

    Chiang, Huai-Chih; Lo, Jing-Chi; Yeh, Kuo-Chen

    2006-11-01

    To survive in variable soil conditions, plants possess homeostatic mechanisms to maintain a suitable concentration of essential heavy metal ions. Certain plants, inhabiting heavy metal-enriched or -contaminated soil, thus are named hyperaccumulators. Studying hyperaccumulators has great potential to provide information for phytoremediation. To better understand the hyperaccumulating mechanism, we used an Arabidopsis cDNA microarray to compare the gene expression of the Zn/Cd hyperaccumulator Arabidopsis halleri and a nonhyperaccumulator, Arabidopsis thaliana. By analyzing the expression of metal-chelators, antioxidation-related genes, and transporters, we revealed a few novel molecular features. We found that metallothionein 2b and 3, APX and MDAR4 in the ascorbate-glutathione pathway, and certain metal transporters in P(1B)-type ATPase, ZIP, Nramp, and CDF families, are expressed at higher levels in A. halleri than in A. thaliana. We further validated that the enzymatic activity of ascorbate peroxidase and class III peroxidases are highly elevated in A. halleri. This observation positively correlates with the higher ability of A. halleri to detoxify H2O2 produced by cadmium and paraquat treatments. We thus suggest that higher peroxidase activities contribute to the heavy metal tolerance in A. halleri by alleviating the ROS damage. We have revealed genes that could be candidates for the future engineering of plants with large biomass for use in phytoremediation. PMID:17144312

  3. Seromic profiling of colorectal cancer patients with novel glycopeptide microarray

    DEFF Research Database (Denmark)

    Pedersen, Johannes W; Blixt, Ola; Bennett, Eric P;

    2011-01-01

    Cancer-associated autoantibodies hold promise as sensitive biomarkers for early detection of cancer. Aberrant post-translational variants of proteins are likely to induce autoantibodies, and changes in O-linked glycosylation represent one of the most important cancer-associated post...... array displaying a comprehensive library of glycopeptides and glycoproteins derived from a panel of human mucins (MUC1, MUC2, MUC4, MUC5AC, MUC6 and MUC7) known to have altered glycosylation and expression in cancer. Seromic profiling of patients with colorectal cancer identified cancer......-associated autoantibodies to a set of aberrant glycopeptides derived from MUC1 and MUC4. The cumulative sensitivity of the array analysis was 79% with a specificity of 92%. The most prevalent of the identified autoantibody targets were validated as authentic cancer immunogens by showing expression of the epitopes in cancer...

  4. Microarray gene expression profiling and analysis in renal cell carcinoma

    Directory of Open Access Journals (Sweden)

    Sadhukhan Provash

    2004-06-01

    Full Text Available Abstract Background Renal cell carcinoma (RCC is the most common cancer in adult kidney. The accuracy of current diagnosis and prognosis of the disease and the effectiveness of the treatment for the disease are limited by the poor understanding of the disease at the molecular level. To better understand the genetics and biology of RCC, we profiled the expression of 7,129 genes in both clear cell RCC tissue and cell lines using oligonucleotide arrays. Methods Total RNAs isolated from renal cell tumors, adjacent normal tissue and metastatic RCC cell lines were hybridized to affymatrix HuFL oligonucleotide arrays. Genes were categorized into different functional groups based on the description of the Gene Ontology Consortium and analyzed based on the gene expression levels. Gene expression profiles of the tissue and cell line samples were visualized and classified by singular value decomposition. Reverse transcription polymerase chain reaction was performed to confirm the expression alterations of selected genes in RCC. Results Selected genes were annotated based on biological processes and clustered into functional groups. The expression levels of genes in each group were also analyzed. Seventy-four commonly differentially expressed genes with more than five-fold changes in RCC tissues were identified. The expression alterations of selected genes from these seventy-four genes were further verified using reverse transcription polymerase chain reaction (RT-PCR. Detailed comparison of gene expression patterns in RCC tissue and RCC cell lines shows significant differences between the two types of samples, but many important expression patterns were preserved. Conclusions This is one of the initial studies that examine the functional ontology of a large number of genes in RCC. Extensive annotation, clustering and analysis of a large number of genes based on the gene functional ontology revealed many interesting gene expression patterns in RCC. Most

  5. Identification of prior candidate genes for Sclerotinia local resistance in Brassica napus using Arabidopsis cDNA microarray and Brassica-Arabidopsis comparative mapping

    Institute of Scientific and Technical Information of China (English)

    LIU; Renhu; ZHAO; Jianwei; XIAO; Yong; MENG; Jinling

    2005-01-01

    Arabidopsis cDNA arrays were used to screen the local-defense-associated genes in oilseed rape (Brassica napus L.) at the challenge of Sclerotinia sclerotiorum. 61 genes with two-fold expression changes were screened out from the local tissue around the necrosis. Among them, 36 unique genes were up-regulated and 25 unique genes were down-regulated. RT-PCR and Northern blot results were consistent with the array results, suggesting Arabidopsis arrays were useful for transcriptional profiling of B. napus genes. Some of these genes were located in the interval of some QTLs for Sclerotinia resistance in B. napus by Brassica- Arabidopsis comparative mapping. These genes may have priority to be pursued for more intensive research.

  6. Gene expression analysis of the rat testis after treatment with di(2-ethylhexyl) phthalate using cDNA microarray and real-time RT-PCR

    International Nuclear Information System (INIS)

    To investigate the effects of di(2-ethylhexyl) phthalate (DEHP) on gene expression in rat testis, 6-week-old male Sprague-Dawley rats were given a single oral dose of 20 or 2000 mg/kg and euthanized 3, 6, 24, or 72 h thereafter. Terminal deoxynucleotidyl transferase-mediated dUTP nick-end labeling (TUNEL)-positive cells were significantly increased in the testis at 24 and 72 h after the exposure to 2000 mg/kg of DEHP. On cDNA microarray analysis, in addition to apoptosis-related genes, genes associated with atrophy, APEX nuclease, MutS homologue (E. coli), testosterone-repressed-prostatic-message-2 (TRPM-2), connective tissue growth factor, collagen alpha 2 type V, and cell adhesion kinase were differentially expressed. To investigate the relationship between histopathological alteration and gene expression, we selected genes associated with apoptosis and analyzed their expression by real-time quantitative reverse transcription-polymerase chain reaction (RT-PCR). With 20 mg/kg of DEHP treatment, bcl-2, key gene related to apoptosis, was increased. Up-regulation of bcl-2, inhibitor of Apaf-1/caspase-9/caspase-2 cascade of apoptosis, may be related to the fact that no morphological apoptotic change was induced after dosing of 20 mg/kg DEHP. With 2000 mg/kg of DEHP treatment, the apoptotic activator cascade, Fas/FasL, FADD/caspase-8/caspase-3 cascade, and Apaf-1/caspase-9/caspase-2 cascade were increased and bcl-2 was decreased. Thus, these gene regulations might lead the cells into apoptosis in the case of high exposure to DEHP. In contrast, FADD/caspase-10/caspase-6 cascade and caspase-11/caspase-3 cascade were not increased. These results indicate that the cascades of FADD/caspase-10/caspase-6 and caspase-11/caspase-3 are not related to apoptosis with DEHP treatment

  7. A new custom microarray for sRNA profiling in Escherichia coli.

    Science.gov (United States)

    Ruiz-Larrabeiti, Olatz; Plágaro, Ander Hernández; Gracia, Celine; Sevillano, Elena; Gallego, Lucía; Hajnsdorf, Eliane; Kaberdin, Vladimir R

    2016-07-01

    Bacterial small RNAs (sRNAs) play essential roles in the post-transcriptional control of gene expression. To improve their detection by conventional microarrays, we designed a custom microarray containing a group of probes targeting known and some putative Escherichia coli sRNAs. To assess its potential in detection of sRNAs, RNA profiling experiments were performed with total RNA extracted from E. coli MG1655 cells exponentially grown in rich (Luria-Bertani) and minimal (M9/glucose) media. We found that many sRNAs could yield reasonably strong and statistically significant signals corresponding to nearly all sRNAs annotated in the EcoCyc database. Besides differential expression of two sRNAs (GcvB and RydB), expression of other sRNAs was less affected by the composition of the growth media. Other examples of the differentially expressed sRNAs were revealed by comparing gene expression of the wild-type strain and its isogenic mutant lacking functional poly(A) polymerase I (pcnB). Further, northern blot analysis was employed to validate these data and to assess the existence of new putative sRNAs. Our results suggest that the use of custom microarrays with improved capacities for detection of sRNAs can offer an attractive opportunity for efficient gene expression profiling of sRNAs and their target mRNAs at the whole transcriptome level. PMID:27190161

  8. Analysis of cellular responses to aflatoxin B{sub 1} in yeast expressing human cytochrome P450 1A2 using cDNA microarrays

    Energy Technology Data Exchange (ETDEWEB)

    Guo Yingying [Departmental of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA (United States); Fred Hutchinson Cancer Research Center, Seattle, WA (United States); Breeden, Linda L. [Fred Hutchinson Cancer Research Center, Seattle, WA (United States); Fan, Wenhong [Fred Hutchinson Cancer Research Center, Seattle, WA (United States); Zhao Lueping [Fred Hutchinson Cancer Research Center, Seattle, WA (United States); Eaton, David L. [Departmental of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA (United States); Fred Hutchinson Cancer Research Center, Seattle, WA (United States); Zarbl, Helmut [Departmental of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA (United States) and Fred Hutchinson Cancer Research Center, Seattle, WA (United States)]. E-mail: hzarbl@fhcrc.org

    2006-01-29

    Aflatoxin B1 (AFB{sub 1}) is a potent human hepatotoxin and hepatocarcinogen produced by the mold Aspergillus flavus. In human, AFB{sub 1} is bioactivated by cytochrome P450 (CYP450) enzymes, primarily CYP1A2, to the genotoxic epoxide that forms N{sup 7}-guanine DNA adducts. To characterize the transcriptional responses to genotoxic insults from AFB{sub 1}, a strain of Saccharomyces cerevisiae engineered to express human CYP1A2 was exposed to doses of AFB{sub 1} that resulted in minimal lethality, but substantial genotoxicity. Flow cytometric analysis demonstrated a dose and time dependent S phase delay under the same treatment conditions, indicating a checkpoint response to DNA damage. Replicate cDNA microarray analyses of AFB{sub 1} treated cells showed that about 200 genes were significantly affected by the exposure. The genes activated by AFB{sub 1}-treatment included RAD51, DUN1 and other members of the DNA damage response signature reported in a previous study with methylmethane sulfonate and ionizing radiation [A.P. Gasch, M. Huang, S. Metzner, D. Botstein, S.J. Elledge, P.O. Brown, Genomic expression responses to DNA-damaging agents and the regulatory role of the yeast ATR homolog Mec1p, Mol. Biol. Cell 12 (2001) 2987-3003]. However, unlike previous studies using highly cytotoxic doses, environmental stress response genes [A.P. Gasch, P.T. Spellman, C.M. Kao, O. Carmel-Harel, M.B. Eisen, G. Storz, D. Botstein, P.O. Brown, Genomic expression programs in the response of yeast cells to environmental changes, Mol. Biol. Cell 11 (2000) 4241-4257] were largely unaffected by our dosing regimen. About half of the transcripts affected are also known to be cell cycle regulated. The most strongly repressed transcripts were those encoding the histone genes and a group of genes that are cell cycle regulated and peak in M phase and early G1. These include most of the known daughter-specific genes. The rapid and coordinated repression of histones and M/G1-specific

  9. Analysis of cellular responses to aflatoxin B1 in yeast expressing human cytochrome P450 1A2 using cDNA microarrays

    International Nuclear Information System (INIS)

    Aflatoxin B1 (AFB1) is a potent human hepatotoxin and hepatocarcinogen produced by the mold Aspergillus flavus. In human, AFB1 is bioactivated by cytochrome P450 (CYP450) enzymes, primarily CYP1A2, to the genotoxic epoxide that forms N7-guanine DNA adducts. To characterize the transcriptional responses to genotoxic insults from AFB1, a strain of Saccharomyces cerevisiae engineered to express human CYP1A2 was exposed to doses of AFB1 that resulted in minimal lethality, but substantial genotoxicity. Flow cytometric analysis demonstrated a dose and time dependent S phase delay under the same treatment conditions, indicating a checkpoint response to DNA damage. Replicate cDNA microarray analyses of AFB1 treated cells showed that about 200 genes were significantly affected by the exposure. The genes activated by AFB1-treatment included RAD51, DUN1 and other members of the DNA damage response signature reported in a previous study with methylmethane sulfonate and ionizing radiation [A.P. Gasch, M. Huang, S. Metzner, D. Botstein, S.J. Elledge, P.O. Brown, Genomic expression responses to DNA-damaging agents and the regulatory role of the yeast ATR homolog Mec1p, Mol. Biol. Cell 12 (2001) 2987-3003]. However, unlike previous studies using highly cytotoxic doses, environmental stress response genes [A.P. Gasch, P.T. Spellman, C.M. Kao, O. Carmel-Harel, M.B. Eisen, G. Storz, D. Botstein, P.O. Brown, Genomic expression programs in the response of yeast cells to environmental changes, Mol. Biol. Cell 11 (2000) 4241-4257] were largely unaffected by our dosing regimen. About half of the transcripts affected are also known to be cell cycle regulated. The most strongly repressed transcripts were those encoding the histone genes and a group of genes that are cell cycle regulated and peak in M phase and early G1. These include most of the known daughter-specific genes. The rapid and coordinated repression of histones and M/G1-specific transcripts cannot be explained by cell cycle

  10. Complete gene expression profiling of Saccharopolyspora erythraea using GeneChip DNA microarrays

    Directory of Open Access Journals (Sweden)

    Bordoni Roberta

    2007-11-01

    Full Text Available Abstract Background The Saccharopolyspora erythraea genome sequence, recently published, presents considerable divergence from those of streptomycetes in gene organization and function, confirming the remarkable potential of S. erythraea for producing many other secondary metabolites in addition to erythromycin. In order to investigate, at whole transcriptome level, how S. erythraea genes are modulated, a DNA microarray was specifically designed and constructed on the S. erythraea strain NRRL 2338 genome sequence, and the expression profiles of 6494 ORFs were monitored during growth in complex liquid medium. Results The transcriptional analysis identified a set of 404 genes, whose transcriptional signals vary during growth and characterize three distinct phases: a rapid growth until 32 h (Phase A; a growth slowdown until 52 h (Phase B; and another rapid growth phase from 56 h to 72 h (Phase C before the cells enter the stationary phase. A non-parametric statistical method, that identifies chromosomal regions with transcriptional imbalances, determined regional organization of transcription along the chromosome, highlighting differences between core and non-core regions, and strand specific patterns of expression. Microarray data were used to characterize the temporal behaviour of major functional classes and of all the gene clusters for secondary metabolism. The results confirmed that the ery cluster is up-regulated during Phase A and identified six additional clusters (for terpenes and non-ribosomal peptides that are clearly regulated in later phases. Conclusion The use of a S. erythraea DNA microarray improved specificity and sensitivity of gene expression analysis, allowing a global and at the same time detailed picture of how S. erythraea genes are modulated. This work underlines the importance of using DNA microarrays, coupled with an exhaustive statistical and bioinformatic analysis of the results, to understand the transcriptional

  11. Evaluation of gene expression profiles of pig skeletal muscle in response to energy content of the diets using human microarrays

    Directory of Open Access Journals (Sweden)

    Giorgio Graziosi

    2010-01-01

    Full Text Available The aim of the research was to compare gene transcription profiles of Musculus longissimus dorsi (MLD between pigs fed diets with high (HED or low (LED energy contents. Two groups of 4 Casertana pigs were reared from 3 to 12 months of age in the same environmental conditions and fed HED or LED. In the HED, the ave rage daily gain and back fat thickness were significantly (P<0.05 higher than in LED pigs. Differential expression of genes in MLD of pigs fed diets with different energy density was assessed by a human high-density complementary DNA (cDNA muscle microarray consisting of 4670 probes and further confirmed by quantitative real time RT-PCR analysis. Seven of the genes up-regulated in MLD of HED pigs were invo l ved in the glycolytic and ox i d a t i ve metabolism (phosphoglycerate mutase 2, glyc e ra l d e hyde-3-phosphate dehydrogenase, NADH dehydrogenase ubiquinone1 beta 9, muscle pyruvate kinase, enolase 3, muscle creatine kinase, isocitrate dehydrogenase 3 (NAD+ gamma and four in the contractile apparatus (tropomyosin 1 alpha, troponin C2, fast, fast skeletal myosin light chain 2, troponin T3, skeletal, fast. Instead, HED diet reduced the level of expression of muscle proteins associated with slow fibre type (troponin T1, skeletal, slow, supervillin, myosin binding protein C, slow type, titin, myosin, heavy polypeptide 7, beta, calponin homology-associated smooth muscle and signal transduction (SH3-binding domain protein 5-like, hypothetical protein FLJ21438, protein kinase cAMP-dependent, catalytic, rho guanine nucleotide exchange factor 15. The down-regulation of CTSB was also observed for HED group. From the results it can be assumed that high energy content of the diet influence physiological processes in the muscle tissue by switching slow fibres into fast reacting fibres and thus enhancing meat quality.

  12. Oral microbiome profiles: 16S rRNA pyrosequencing and microarray assay comparison.

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    Jiyoung Ahn

    Full Text Available OBJECTIVES: The human oral microbiome is potentially related to diverse health conditions and high-throughput technology provides the possibility of surveying microbial community structure at high resolution. We compared two oral microbiome survey methods: broad-based microbiome identification by 16S rRNA gene sequencing and targeted characterization of microbes by custom DNA microarray. METHODS: Oral wash samples were collected from 20 individuals at Memorial Sloan-Kettering Cancer Center. 16S rRNA gene survey was performed by 454 pyrosequencing of the V3-V5 region (450 bp. Targeted identification by DNA microarray was carried out with the Human Oral Microbe Identification Microarray (HOMIM. Correlations and relative abundance were compared at phylum and genus level, between 16S rRNA sequence read ratio and HOMIM hybridization intensity. RESULTS: The major phyla, Firmicutes, Proteobacteria, Bacteroidetes, Actinobacteria, and Fusobacteria were identified with high correlation by the two methods (r = 0.70∼0.86. 16S rRNA gene pyrosequencing identified 77 genera and HOMIM identified 49, with 37 genera detected by both methods; more than 98% of classified bacteria were assigned in these 37 genera. Concordance by the two assays (presence/absence and correlations were high for common genera (Streptococcus, Veillonella, Leptotrichia, Prevotella, and Haemophilus; Correlation = 0.70-0.84. CONCLUSION: Microbiome community profiles assessed by 16S rRNA pyrosequencing and HOMIM were highly correlated at the phylum level and, when comparing the more commonly detected taxa, also at the genus level. Both methods are currently suitable for high-throughput epidemiologic investigations relating identified and more common oral microbial taxa to disease risk; yet, pyrosequencing may provide a broader spectrum of taxa identification, a distinct sequence-read record, and greater detection sensitivity.

  13. Age-Specific Gene Expression Profiles of Rhesus Monkey Ovaries Detected by Microarray Analysis.

    Science.gov (United States)

    Wei, Hengxi; Liu, Xiangjie; Yuan, Jihong; Li, Li; Zhang, Dongdong; Guo, Xinzheng; Liu, Lin; Zhang, Shouquan

    2015-01-01

    The biological function of human ovaries declines with age. To identify the potential molecular changes in ovarian aging, we performed genome-wide gene expression analysis by microarray of ovaries from young, middle-aged, and old rhesus monkeys. Microarray data was validated by quantitative real-time PCR. Results showed that a total of 503 (60 upregulated, 443 downregulated) and 84 (downregulated) genes were differentially expressed in old ovaries compared to young and middle-aged groups, respectively. No difference in gene expression was found between middle-aged and young groups. Differentially expressed genes were mainly enriched in cell and organelle, cellular and physiological process, binding, and catalytic activity. These genes were primarily associated with KEGG pathways of cell cycle, DNA replication and repair, oocyte meiosis and maturation, MAPK, TGF-beta, and p53 signaling pathway. Genes upregulated were involved in aging, defense response, oxidation reduction, and negative regulation of cellular process; genes downregulated have functions in reproduction, cell cycle, DNA and RNA process, macromolecular complex assembly, and positive regulation of macromolecule metabolic process. These findings show that monkey ovary undergoes substantial change in global transcription with age. Gene expression profiles are useful in understanding the mechanisms underlying ovarian aging and age-associated infertility in primates. PMID:26421297

  14. Microarray-Based Transcriptional Profiling of Renieramycin M and Jorunnamycin C, Isolated from Thai Marine Organisms

    Directory of Open Access Journals (Sweden)

    Takatoshi Kawai

    2009-10-01

    Full Text Available Renieramycin M and jorunnamycin C, two isoquinolinequinone compounds differing only at the C-22 ester side chain, were evaluated for their cytotoxic effects on human colon (HCT116 and breast (MDA-MB-435 cancer cell lines. These two compounds displayed potent cancer cell growth inhibition, their IC50 values reaching nanomolar order. To examine their effects on transcription, we carried out oligonucleotide microarray analysis with focus on the similarities and differences between the two compounds in terms of transcriptional profiles. We found that the down-regulation of PTPRK (protein tyrosine phosphatase receptor type K can be considered as a biomarker responsive to the cytotoxic effects of this class of antitumor marine natural products.

  15. Barcoded cDNA library preparation for small RNA profiling by next-generation sequencing

    OpenAIRE

    Hafner, Markus; Renwick, Neil; Farazi, Thalia A.; Mihailovi, Aleksandra; Pena, John T.G.; Tuschl, Thomas

    2012-01-01

    The characterization of post-transcriptional gene regulation by small regulatory (20–30 nt) RNAs, particularly miRNAs and piRNAs, has become a major focus of research in recent years. A prerequisite for characterizing small RNAs is their identification and quantification across different developmental stages, and in normal and disease tissues, as well as model cell lines. Here we present a step-by-step protocol for generating barcoded small RNA cDNA libraries compatible with Illumina HiSeq se...

  16. Plasma long noncoding RNA expression profile identified by microarray in patients with Crohn’s disease

    Science.gov (United States)

    Chen, Dong; Liu, Jiang; Zhao, Hui-Ying; Chen, Yi-Peng; Xiang, Zun; Jin, Xi

    2016-01-01

    AIM: To investigate the expression pattern of plasma long noncoding RNAs (lncRNAs) in Chrohn’s disease (CD) patients. METHODS: Microarray screening and qRT-PCR verification of lncRNAs and mRNAs were performed in CD and control subjects, followed by hierarchy clustering, GO and KEGG pathway analyses. Significantly dysregulated lncRNAs were categorized into subgroups of antisense lncRNAs, enhancer lncRNAs and lincRNAs. To predict the regulatory effect of lncRNAs on mRNAs, a CNC network analysis was performed and cross linked with significantly changed lncRNAs. The overlapping lncRNAs were randomly selected and verified by qRT-PCR in a larger cohort. RESULTS: Initially, there were 1211 up-regulated and 777 down-regulated lncRNAs as well as 1020 up-regulated and 953 down-regulated mRNAs after microarray analysis; a heat map based on these results showed good categorization into the CD and control groups. GUSBP2 and AF113016 had the highest fold change of the up- and down-regulated lncRNAs, whereas TBC1D17 and CCL3L3 had the highest fold change of the up- and down-regulated mRNAs. Six (SNX1, CYFIP2, CD6, CMTM8, STAT4 and IGFBP7) of 10 mRNAs and 8 (NR_033913, NR_038218, NR_036512, NR_049759, NR_033951, NR_045408, NR_038377 and NR_039976) of 14 lncRNAs showed the same change trends on the microarray and qRT-PCR results with statistical significance. Based on the qRT-PCR verified mRNAs, 1358 potential lncRNAs with 2697 positive correlations and 2287 negative correlations were predicted by the CNC network. CONCLUSION: The plasma lncRNAs profiles provide preliminary data for the non-invasive diagnosis of CD and a resource for further specific lncRNA-mRNA pathway exploration. PMID:27217703

  17. Identification of Novel Protein–Ligand Interactions by Exon Microarray Analysis of Yeast Surface Displayed cDNA Library Selection Outputs

    OpenAIRE

    Bidlingmaier, Scott; Liu, Bin

    2015-01-01

    Yeast surface display is widely utilized to screen large libraries for proteins or protein fragments with specific binding properties. We have previously constructed and utilized yeast surface displayed human cDNA libraries to identify protein fragments that bind to various target ligands. Conventional approaches employ monoclonal screening and sequencing of polyclonal outputs that have been enriched for binding to a target molecule by several rounds of affinity-based selection. Frequently, a...

  18. In-depth cDNA Library Sequencing Provides Quantitative Gene Expression Profiling in Cancer Biomarker Discovery

    Institute of Scientific and Technical Information of China (English)

    Wanling Yang; Dingge Ying; Yu-Lung Lau

    2009-01-01

    procedures may allow detection of many expres-sion features for less abundant gene variants. With the reduction of sequencing cost and the emerging of new generation sequencing technology, in-depth sequencing of cDNA pools or libraries may represent a better and powerful tool in gene expression profiling and cancer biomarker detection. We also propose using sequence-specific subtraction to remove hundreds of the most abundant housekeeping genes to in-crease sequencing depth without affecting relative expression ratio of other genes, as transcripts from as few as 300 most abundantly expressed genes constitute about 20% of the total transcriptome. In-depth sequencing also represents a unique ad-vantage of detecting unknown forms of transcripts, such as alternative splicing variants, fusion genes, and regulatory RNAs, as well as detecting mutations and polymorphisms that may play important roles in disease pathogenesis.

  19. Microarray analysis of gene expression profile of multidrug resistance in pancreatic cancer

    Institute of Scientific and Technical Information of China (English)

    ZHAO Yu-pei; CHEN Ge; FENG Bin; ZHANG Tai-ping; MA En-ling; WU Yuan-de

    2007-01-01

    Background Chemotherapy is the most frequently adopted adjuvant therapy of pancreatic ductal adenocarcinoma (PDAC), but the development of drug resistance reduces its effectiveness. Clarification of the mechanism of multidrug resistance (MDR) development in PDAC is needed to improve the therapeutic effect of chemotherapy. This study was aimed to investigate the molecular mechanism of MDR of PDAC and to identify genes associated with MDR development.Methods The gene expression profiles of cell line SW1990 and three drug-selected pancreatic chemoresistant sub-lines, SW1990/5-Fu, SW1990/ADM and SW1990/GEM, were obtained using an oligonucleotide microarray (Affymetrix HG U133 2.0 plus) that contained approximately 38 000 human genes. The microarray results were validated by real-time quantitative polymerase chain reaction and Western blot analysis.Results There were 165 genes and expressed sequence tags, some of which have never been linked to drug resistance, that were up- or down-regulated at least 2-fold in all resistant sub-lines when compared with SW1990.According to Gene Ontology annotation, differentially expressed genes related to MDR in pancreatic cancer belong to many functional families and with diverse biological processes. Genes related to antioxidant activity, apoptosis, the cell cycle, signal transduction and intracellular adhesion may undergo epigenetic changes preceding MDR development. A hierarchical clustering was conducted and several interesting clusters were discovered that may be primarily related to cell cycle and developmental regulation. A prediction rule was built from the expression profiles of 117 genes after support vector machine (SVM) analysis, and the prediction result was examined by cytotoxic testing. As a result, a differential gene expression pattern was constructed in multidrug resistant pancreatic cancer cells.Conclusions The findings of this study prove that construction of a chemoresistance prediction rule, based on gene

  20. Profiling miRNAs in nasopharyngeal carcinoma FFPE tissue by microarray and Next Generation Sequencing

    Directory of Open Access Journals (Sweden)

    Jin Peng

    2014-12-01

    Full Text Available Nasopharyngeal carcinoma (NPC is a non-lymphomatous, squamous-cell carcinoma that occurs in the epithelial lining of the nasopharynx. Nasopharyngeal carcinoma has a geographically well-defined distribution worldwide, with the highest prevalence in China, Southeast Asia, and Northern Africa. Symptoms of nascent NPC may be unapparent or trivial, with diagnosis based on the histopathology of biopsied tissue following endoscopy of the nasopharynx. The tumor node metastasis (TNM staging system is the benchmark for the prognosis of NPC and guides treatment strategy. However, there is a consensus that the TNM system is not sufficiently specific for the prognosis of NPC, as it does not reflect the biological heterogeneity of this tumor, making another biomarker for the detection of NPC a priority. We have previously reported on different approaches for microRNA (miRNA biomarker discovery for Formalin Fixed Paraffin Embedded (FFPE NPC tissue samples by both a targeted (microarray and an untargeted (small RNA-Seq discovery platform. Both miRNA discovery platforms produced similar results, narrowing the miRNA signature to 1–5% of the known mature human miRNAs, with untargeted (small RNA-Seq approach having the advantage of indicating “unknown” miRNAs associated with NPC. Both miRNA profiles strongly associated with NPC, providing two potential discovery platforms for biomarker signatures for NPC. Herein, we provide a detailed description of the methods that we used to interrogate FFPE samples to discover biomarkers for NPC.

  1. Microarray gene expression profiling of developmental transitions in Sitka spruce (Picea sitchensis) apical shoots.

    Science.gov (United States)

    Friedmann, Michael; Ralph, Steven G; Aeschliman, Dana; Zhuang, Jun; Ritland, Kermit; Ellis, Brian E; Bohlmann, Joerg; Douglas, Carl J

    2007-01-01

    The apical shoot drives the yearly new stem growth of conifer trees, is the primary site for the establishment of chemical and physical defences, and is important in establishing subsequent perennial growth. This organ presents an interesting developmental system, with growth and development progressing from a meristematic tip through development of a primary vascular system, to a base with fully differentiated and lignified secondary xylem on the inside and bark tissue with constitutive defence structures such as resin, polyphenolic phloem parenchyma cells, and sclereids on the outside. A spruce (Picea spp.) microarray containing approximately 16.7K unique cDNAs was used to study transcript profiles that characterize the developmental transition in apical shoots of Sitka spruce (Picea sitchensis) from their vegetative tips to their woody bases. Along with genes involved in cell-wall modification and lignin biosynthesis, a number of differentially regulated genes encoding protein kinases and transcription factors with base-preferred expression patterns were identified, which could play roles in the formation of woody tissues inside the apical shoot, as well as in regulating other developmental transitions associated with organ maturation. Preferential expression of known conifer defence genes, genes encoding defence-related proteins, and genes encoding regulatory proteins was observed at the apical shoot tip and in the green bark tissues at the apical shoot base, suggesting a commitment to constitutive defence in the apical shoot that is co-ordinated with rapid development of secondary xylem. PMID:17220514

  2. Gene Expression Profile Differences in Gastric Cancer and Normal Gastric Mucosa by Oligonucleotide Microarrays

    Institute of Scientific and Technical Information of China (English)

    Chuanding Yu; Shenhua Xu; HangZhou Mou; Zhiming Jiang; Chihong Zhu; Xianglin Liu

    2006-01-01

    OBJECTIVE To study the difference of gene expression in gastric cancer (T) and normal tissue of gastric mucosa (C), and to screen for associated novel genes in gastric cancers by oligonucleotide microarrays.METHODS U133A (Affymetrix, Santa Clara, CA) gene chip was used to detect the gene expression profile difference in T and C. Bioinformatics was used to analyze the detected results.RESULTS When gastric cancers were compared with normal gastric mucosa, a total of 270 genes were found with a difference of more than 9times in expression levels. Of the 270 genes, 157 were up-regulated (Signal Log Ratio [SLR] ≥3), and 113 were down-regulated (SLR ≤-3).Using a classification of function, the highest number of gene expression differences related to enzymes and their regulatory genes (67, 24.8%),followed by signal-transduction genes (43,15.9%). The third were nucleic acid binding genes (17, 6.3%), fourth were transporter genes (15, 5.5%)and fifth were protein binding genes (12, 4.4%). In addition there were 50genes of unknown function, accounting for 18.5%. The five above mentioned groups made up 56.9% of the total gene number.CONCLUSION The 5 gene groups (enzymes and their regulatory proteins, signal transduction proteins, nucleic acid binding proteins, transporter and protein binding) were abnormally expressed and are important genes for further study in gastric cancers.

  3. Predicting the response to preoperative radiation or chemoradiation by a microarray analysis of the gene expression profiles in rectal cancer

    International Nuclear Information System (INIS)

    Preoperative radiotherapy or chemoradiotherapy (CRT) has become a standard treatment for patients with locally advanced rectal cancer. However, there is a wide spectrum of responses to preoperative CRT, ranging from none to complete. There has been intense interest in the identification of molecular biomarkers to predict the response to preoperative CRT, in order to spare potentially non-responsive patients from unnecessary treatment. However, no specific molecular biomarkers have yet been definitively proven to be predictive of the response to CRT. Instead of focusing on specific factors, microarray-based gene expression profiling technology enables the simultaneous analysis of large numbers of genes, and might therefore have immense potential for predicting the response to preoperative CRT. We herein review published studies using a microarray-based analysis to identify gene expression profiles associated with the response of rectal cancer to radiation or CRT. Although some studies have reported gene expression signatures capable of high predictive accuracy, the compositions of these signatures have differed considerably, with little gene overlap. However, considering the promising data regarding gene profiling in breast cancer, the microarray analysis could still have potential to improve the management of locally advanced rectal cancer. Increasing the number of patients analyzed for more accurate prediction and the extensive validation of predictive classifiers in prospective clinical trials are necessary before such profiling can be incorporated into future clinical practice. (author)

  4. In Silico Analysis of Microarray-Based Gene Expression Profiles Predicts Tumor Cell Response to Withanolides

    Directory of Open Access Journals (Sweden)

    Thomas Efferth

    2012-05-01

    Full Text Available Withania somnifera (L. Dunal (Indian ginseng, winter cherry, Solanaceae is widely used in traditional medicine. Roots are either chewed or used to prepare beverages (aqueous decocts. The major secondary metabolites of Withania somnifera are the withanolides, which are C-28-steroidal lactone triterpenoids. Withania somnifera extracts exert chemopreventive and anticancer activities in vitro and in vivo. The aims of the present in silico study were, firstly, to investigate whether tumor cells develop cross-resistance between standard anticancer drugs and withanolides and, secondly, to elucidate the molecular determinants of sensitivity and resistance of tumor cells towards withanolides. Using IC50 concentrations of eight different withanolides (withaferin A, withaferin A diacetate, 3-azerininylwithaferin A, withafastuosin D diacetate, 4-B-hydroxy-withanolide E, isowithanololide E, withafastuosin E, and withaperuvin and 19 established anticancer drugs, we analyzed the cross-resistance profile of 60 tumor cell lines. The cell lines revealed cross-resistance between the eight withanolides. Consistent cross-resistance between withanolides and nitrosoureas (carmustin, lomustin, and semimustin was also observed. Then, we performed transcriptomic microarray-based COMPARE and hierarchical cluster analyses of mRNA expression to identify mRNA expression profiles predicting sensitivity or resistance towards withanolides. Genes from diverse functional groups were significantly associated with response of tumor cells to withaferin A diacetate, e.g. genes functioning in DNA damage and repair, stress response, cell growth regulation, extracellular matrix components, cell adhesion and cell migration, constituents of the ribosome, cytoskeletal organization and regulation, signal transduction, transcription factors, and others.

  5. Microarray expression profile analysis of aberrant long non-coding RNAs in esophageal squamous cell carcinoma.

    Science.gov (United States)

    Yao, Juan; Huang, Jun-Xing; Lin, Mei; Wu, Zheng-Dong; Yu, Hong; Wang, Peng-Cheng; Ye, Jun; Chen, Ping; Wu, Jing; Zhao, Guo-Jun

    2016-06-01

    Increasing evidence indicates that long non-coding RNA (lncRNA) plays an important role in tumorigenesis. However, the function and regulatory mechanism of lncRNAs are still unclear in esophageal squamous cell carcinoma (ESCC). To address this challenge, we screened lncRNAs expression profiles in 3 pairs of ESCC and matched non-cancerous tissues by microarray assay and identified the relationship between lncRNAs expression in ESCC tissue and clinicopathological characteristics and prognosis of patients with ESCC. We found 182 lncRNAs that were significantly differently expressed in ESCC tissues versus the matched non-cancerous tissues. Gene ontology and pathway analysis results suggested that the primary biological processes of these genes were involved in extracellular matrix, immune responses, cell differentiation and cell proliferation. Through cis and trans analyzing, we found 4 lncRNAs (ENST00000480669, NONHSAT104436, NONHSAT126998 and NONHSAT112918) may play important roles in tumorigenesis of ESCC. The four lncRNAs were checked in 73 patients with ESCC. The results showed that they mainly related to tumor metastasis. Kaplan-Meier survival analysis showed that high expression of NONHSAT104436, NONHSAT126998 and low expression of ENST00000480669 were related to poor 3-year overall survival (P=0.003, 0.032 and 0.040, respectively). Multivariate analysis showed that NONHSAT104436 was an independent prognostic factor (P=0.017). Thus we concluded that, lncRNAs showed differently expression patterns in ESCC versus matched non-cancerous tissues, and aberrantly expressed lncRNA may play important roles in ESCC development and progression. Interestingly, the overexpression of NONHSAT104436 was tightly correlated with distant metastasis and, poor survival rate, which might indicate that NONHSAT104436 might play a very important part in ESCC tumor progression. PMID:27035335

  6. Identification of transcription factors potential related to brown planthopper resistance in rice via microarray expression profiling

    Directory of Open Access Journals (Sweden)

    Wang Yubing

    2012-12-01

    Full Text Available Abstract Background Brown planthopper (BPH, Nilaparvata lugens Stål, is one of the most destructive insect pests of rice. The molecular responses of plants to sucking insects resemble responses to pathogen infection. However, the molecular mechanism of BPH-resistance in rice remains unclear. Transcription factors (TF are up-stream regulators of various genes that bind to specific DNA sequences, thereby controlling the transcription from DNA to mRNA. They are key regulators for transcriptional expression in biological processes, and are probably involved in the BPH-induced pathways in resistant rice varieties. Results We conducted a microarray experiment to analyze TF genes related to BPH resistance in a Sri Lankan rice cultivar, Rathu Heenati (RHT. We compared the expression profiles of TF genes in RHT with those of the susceptible rice cultivar Taichun Native 1 (TN1. We detected 2038 TF genes showing differential expression signals between the two rice varieties. Of these, 442 TF genes were probably related to BPH-induced resistance in RHT and TN1, and 229 may be related to constitutive resistance only in RHT. These genes showed a fold change (FC of more than 2.0 (P10, there were 37 induced TF genes and 26 constitutive resistance TF genes. Of these, 13 were probably involved in BPH-induced resistance, and 8 in constitutive resistance to BPH in RHT. Conclusions We explored the molecular mechanism of resistance to BPH in rice by comparing expressions of TF genes between RHT and TN1. We speculate that the level of gene repression, especially for early TF genes, plays an important role in the defense response. The fundamental point of the resistance strategy is that plants protect themselves by reducing their metabolic level to inhibit feeding by BPH and prevent damage from water and nutrient loss. We have selected 21 TF genes related to BPH resistance for further analyses to understand the molecular responses to BPH feeding in rice.

  7. Functional Genomics in Chickens: Development of Integrated-Systems Microarrays for Transcriptional Profiling and Discovery of Regulatory Pathways

    Directory of Open Access Journals (Sweden)

    T. E. Porter

    2006-03-01

    Full Text Available The genetic networks that govern the differentiation and growth of major tissues of economic importance in the chicken are largely unknown. Under a functional genomics project, our consortium has generated 30 609 expressed sequence tags (ESTs and developed several chicken DNA microarrays, which represent the Chicken Metabolic/Somatic (10 K and Neuroendocrine/Reproductive (8 K Systems (http://udgenome.ags.udel.edu/cogburn/. One of the major challenges facing functional genomics is the development of mathematical models to reconstruct functional gene networks and regulatory pathways from vast volumes of microarray data. In initial studies with liver-specific microarrays (3.1 K, we have examined gene expression profiles in liver during the peri-hatch transition and during a strong metabolic perturbation—fasting and re-feeding—in divergently selected broiler chickens (fast vs. slow-growth lines. The expression of many genes controlling metabolic pathways is dramatically altered by these perturbations. Our analysis has revealed a large number of clusters of functionally related genes (mainly metabolic enzymes and transcription factors that control major metabolic pathways. Currently, we are conducting transcriptional profiling studies of multiple tissues during development of two sets of divergently selected broiler chickens (fast vs. slow growing and fat vs. lean lines. Transcriptional profiling across multiple tissues should permit construction of a detailed genetic blueprint that illustrates the developmental events and hierarchy of genes that govern growth and development of chickens. This review will briefly describe the recent acquisition of chicken genomic resources (ESTs and microarrays and our consortium's efforts to help launch the new era of functional genomics in the chicken.

  8. Functional genomics in chickens: development of integrated-systems microarrays for transcriptional profiling and discovery of regulatory pathways.

    Science.gov (United States)

    Cogburn, L A; Wang, X; Carre, W; Rejto, L; Aggrey, S E; Duclos, M J; Simon, J; Porter, T E

    2004-01-01

    The genetic networks that govern the differentiation and growth of major tissues of economic importance in the chicken are largely unknown. Under a functional genomics project, our consortium has generated 30 609 expressed sequence tags (ESTs) and developed several chicken DNA microarrays, which represent the Chicken Metabolic/Somatic (10 K) and Neuroendocrine/Reproductive (8 K) Systems (http://udgenome.ags.udel.edu/cogburn/). One of the major challenges facing functional genomics is the development of mathematical models to reconstruct functional gene networks and regulatory pathways from vast volumes of microarray data. In initial studies with liver-specific microarrays (3.1 K), we have examined gene expression profiles in liver during the peri-hatch transition and during a strong metabolic perturbation-fasting and re-feeding-in divergently selected broiler chickens (fast vs. slow-growth lines). The expression of many genes controlling metabolic pathways is dramatically altered by these perturbations. Our analysis has revealed a large number of clusters of functionally related genes (mainly metabolic enzymes and transcription factors) that control major metabolic pathways. Currently, we are conducting transcriptional profiling studies of multiple tissues during development of two sets of divergently selected broiler chickens (fast vs. slow growing and fat vs. lean lines). Transcriptional profiling across multiple tissues should permit construction of a detailed genetic blueprint that illustrates the developmental events and hierarchy of genes that govern growth and development of chickens. This review will briefly describe the recent acquisition of chicken genomic resources (ESTs and microarrays) and our consortium's efforts to help launch the new era of functional genomics in the chicken. PMID:18629153

  9. Information criterion-based clustering with order-restricted candidate profiles in short time-course microarray experiments

    Directory of Open Access Journals (Sweden)

    Zhang Baoxue

    2009-05-01

    Full Text Available Abstract Background Time-course microarray experiments produce vector gene expression profiles across a series of time points. Clustering genes based on these profiles is important in discovering functional related and co-regulated genes. Early developed clustering algorithms do not take advantage of the ordering in a time-course study, explicit use of which should allow more sensitive detection of genes that display a consistent pattern over time. Peddada et al. 1 proposed a clustering algorithm that can incorporate the temporal ordering using order-restricted statistical inference. This algorithm is, however, very time-consuming and hence inapplicable to most microarray experiments that contain a large number of genes. Its computational burden also imposes difficulty to assess the clustering reliability, which is a very important measure when clustering noisy microarray data. Results We propose a computationally efficient information criterion-based clustering algorithm, called ORICC, that also takes account of the ordering in time-course microarray experiments by embedding the order-restricted inference into a model selection framework. Genes are assigned to the profile which they best match determined by a newly proposed information criterion for order-restricted inference. In addition, we also developed a bootstrap procedure to assess ORICC's clustering reliability for every gene. Simulation studies show that the ORICC method is robust, always gives better clustering accuracy than Peddada's method and saves hundreds of times computational time. Under some scenarios, its accuracy is also better than some other existing clustering methods for short time-course microarray data, such as STEM 2 and Wang et al. 3. It is also computationally much faster than Wang et al. 3. Conclusion Our ORICC algorithm, which takes advantage of the temporal ordering in time-course microarray experiments, provides good clustering accuracy and is meanwhile much

  10. Oral tongue cancer gene expression profiling: Identification of novel potential prognosticators by oligonucleotide microarray analysis

    International Nuclear Information System (INIS)

    The present study is aimed at identifying potential candidate genes as prognostic markers in human oral tongue squamous cell carcinoma (SCC) by large scale gene expression profiling. The gene expression profile of patients (n=37) with oral tongue SCC were analyzed using Affymetrix HG-U95Av2 high-density oligonucleotide arrays. Patients (n=20) from which there were available tumor and matched normal mucosa were grouped into stage (early vs. late) and nodal disease (node positive vs. node negative) subgroups and genes differentially expressed in tumor vs. normal and between the subgroups were identified. Three genes, GLUT3, HSAL2, and PACE4, were selected for their potential biological significance in a larger cohort of 49 patients via quantitative real-time RT-PCR. Hierarchical clustering analyses failed to show significant segregation of patients. In patients (n=20) with available tumor and matched normal mucosa, 77 genes were found to be differentially expressed (P< 0.05) in the tongue tumor samples compared to their matched normal controls. Among the 45 over-expressed genes, MMP-1 encoding interstitial collagenase showed the highest level of increase (average: 34.18 folds). Using the criterion of two-fold or greater as overexpression, 30.6%, 24.5% and 26.5% of patients showed high levels of GLUT3, HSAL2 and PACE4, respectively. Univariate analyses demonstrated that GLUT3 over-expression correlated with depth of invasion (P<0.0001), tumor size (P=0.024), pathological stage (P=0.009) and recurrence (P=0.038). HSAL2 was positively associated with depth of invasion (P=0.015) and advanced T stage (P=0.047). In survival studies, only GLUT3 showed a prognostic value with disease-free (P=0.049), relapse-free (P=0.002) and overall survival (P=0.003). PACE4 mRNA expression failed to show correlation with any of the relevant parameters. The characterization of genes identified to be significant predictors of prognosis by oligonucleotide microarray and further validation by

  11. mRMR-ABC: A Hybrid Gene Selection Algorithm for Cancer Classification Using Microarray Gene Expression Profiling

    Directory of Open Access Journals (Sweden)

    Hala Alshamlan

    2015-01-01

    Full Text Available An artificial bee colony (ABC is a relatively recent swarm intelligence optimization approach. In this paper, we propose the first attempt at applying ABC algorithm in analyzing a microarray gene expression profile. In addition, we propose an innovative feature selection algorithm, minimum redundancy maximum relevance (mRMR, and combine it with an ABC algorithm, mRMR-ABC, to select informative genes from microarray profile. The new approach is based on a support vector machine (SVM algorithm to measure the classification accuracy for selected genes. We evaluate the performance of the proposed mRMR-ABC algorithm by conducting extensive experiments on six binary and multiclass gene expression microarray datasets. Furthermore, we compare our proposed mRMR-ABC algorithm with previously known techniques. We reimplemented two of these techniques for the sake of a fair comparison using the same parameters. These two techniques are mRMR when combined with a genetic algorithm (mRMR-GA and mRMR when combined with a particle swarm optimization algorithm (mRMR-PSO. The experimental results prove that the proposed mRMR-ABC algorithm achieves accurate classification performance using small number of predictive genes when tested using both datasets and compared to previously suggested methods. This shows that mRMR-ABC is a promising approach for solving gene selection and cancer classification problems.

  12. mRMR-ABC: A Hybrid Gene Selection Algorithm for Cancer Classification Using Microarray Gene Expression Profiling.

    Science.gov (United States)

    Alshamlan, Hala; Badr, Ghada; Alohali, Yousef

    2015-01-01

    An artificial bee colony (ABC) is a relatively recent swarm intelligence optimization approach. In this paper, we propose the first attempt at applying ABC algorithm in analyzing a microarray gene expression profile. In addition, we propose an innovative feature selection algorithm, minimum redundancy maximum relevance (mRMR), and combine it with an ABC algorithm, mRMR-ABC, to select informative genes from microarray profile. The new approach is based on a support vector machine (SVM) algorithm to measure the classification accuracy for selected genes. We evaluate the performance of the proposed mRMR-ABC algorithm by conducting extensive experiments on six binary and multiclass gene expression microarray datasets. Furthermore, we compare our proposed mRMR-ABC algorithm with previously known techniques. We reimplemented two of these techniques for the sake of a fair comparison using the same parameters. These two techniques are mRMR when combined with a genetic algorithm (mRMR-GA) and mRMR when combined with a particle swarm optimization algorithm (mRMR-PSO). The experimental results prove that the proposed mRMR-ABC algorithm achieves accurate classification performance using small number of predictive genes when tested using both datasets and compared to previously suggested methods. This shows that mRMR-ABC is a promising approach for solving gene selection and cancer classification problems. PMID:25961028

  13. Changes in hepatic gene expression related to innate immunity, growth and iron metabolism in GH-transgenic amago salmon (Oncorhynchus masou) by cDNA subtraction and microarray analysis, and serum lysozyme activity.

    Science.gov (United States)

    Mori, Tsukasa; Hiraka, Ikuei; Kurata, Youichi; Kawachi, Hiroko; Mano, Nobuhiro; Devlin, Robert H; Nagoya, Hiroyuki; Araki, Kazuo

    2007-03-01

    Growth hormone (GH) transgenic amago salmon (Oncorhynchus masou) were generated with a construct containing the sockeye salmon GH1 gene fused to the metallothionein-B (MT-B) promoter from the same species. This transgene directed significant growth enhancement with transgenic fish reaching approximately four to five times greater weight than control salmon in F(2) and F(3) generations. This drastic growth enhancement by GH transgene is well known in fish species compared with mammals, however, such fish can show morphological abnormalities and physiological disorders like other GH transgenic animals. GH is known to have many acute effects, but currently there are no data describing the chronic effects of over-expression of GH on various hepatic genes in GH transgenic fish. Hepatic gene expression is anticipated to play very important roles in many physiological functions and growth performance of transgenic and control salmon. To examine these effects, we performed subtractive hybridization (using cDNA generated from liver RNA) in both directions to identify genes both increased and decreased in transgenic salmon relative to controls (576 clones were isolated and sequenced in total). Heme oxygenase, vitelline envelope protein, Acyl-coA binding protein, NADH dehydrogenase, mannose binding lectin-associated serine protease, hemopexin-like protein, leucyte-derived chemotaxin2 (LECT2), and many other genes were obtained in higher clone frequencies suggesting enhanced expression. In contrast, complement C3-1, lectin, rabin, alcohol dehydrogenase, Tc1-like transposase, Delta6-desaturase, and pentraxin genes were obtained in lower frequencies. Microarray analysis was also performed to obtain quantitative expression data for these subtracted cDNA clones. Analysis of fish across seasons was also conducted using both F(2) and F(3) salmon. Results of the microarray data essentially corresponded with those of the subtraction data when both F(2) and F(3) fish were completely

  14. Autoantibody profiling on human proteome microarray for biomarker discovery in cerebrospinal fluid and sera of neuropsychiatric lupus.

    Directory of Open Access Journals (Sweden)

    Chaojun Hu

    Full Text Available Autoantibodies in cerebrospinal fluid (CSF from patients with neuropsychiatric systemic lupus erythematosus (NPSLE may be potential biomarkers for prediction, diagnosis, or prognosis of NPSLE. We used a human proteome microarray with~17,000 unique full-length human proteins to investigate autoantibodies associated with NPSLE. Twenty-nine CSF specimens from 12 NPSLE, 7 non-NPSLE, and 10 control (non-systemic lupus erythematosuspatients were screened for NPSLE-associated autoantibodies with proteome microarrays. A focused autoantigen microarray of candidate NPSLE autoantigens was applied to profile a larger cohort of CSF with patient-matched sera. We identified 137 autoantigens associated with NPSLE. Ingenuity Pathway Analysis revealed that these autoantigens were enriched for functions involved in neurological diseases (score = 43.Anti-proliferating cell nuclear antigen (PCNA was found in the CSF of NPSLE and non-NPSLE patients. The positive rates of 4 autoantibodies in CSF specimens were significantly different between the SLE (i.e., NPSLE and non-NPSLE and control groups: anti-ribosomal protein RPLP0, anti-RPLP1, anti-RPLP2, and anti-TROVE2 (also known as anti-Ro/SS-A. The positive rate for anti-SS-A associated with NPSLE was higher than that for non-NPSLE (31.11% cf. 10.71%; P = 0.045.Further analysis showed that anti-SS-A in CSF specimens was related to neuropsychiatric syndromes of the central nervous system in SLE (P = 0.009. Analysis with Spearman's rank correlation coefficient indicated that the titers of anti-RPLP2 and anti-SS-A in paired CSF and serum specimens significantly correlated. Human proteome microarrays offer a powerful platform to discover novel autoantibodies in CSF samples. Anti-SS-A autoantibodies may be potential CSF markers for NPSLE.

  15. A meta-data based method for DNA microarray imputation

    Directory of Open Access Journals (Sweden)

    Ouyang Ming

    2007-03-01

    Full Text Available Abstract Background DNA microarray experiments are conducted in logical sets, such as time course profiling after a treatment is applied to the samples, or comparisons of the samples under two or more conditions. Due to cost and design constraints of spotted cDNA microarray experiments, each logical set commonly includes only a small number of replicates per condition. Despite the vast improvement of the microarray technology in recent years, missing values are prevalent. Intuitively, imputation of missing values is best done using many replicates within the same logical set. In practice, there are few replicates and thus reliable imputation within logical sets is difficult. However, it is in the case of few replicates that the presence of missing values, and how they are imputed, can have the most profound impact on the outcome of downstream analyses (e.g. significance analysis and clustering. This study explores the feasibility of imputation across logical sets, using the vast amount of publicly available microarray data to improve imputation reliability in the small sample size setting. Results We download all cDNA microarray data of Saccharomyces cerevisiae, Arabidopsis thaliana, and Caenorhabditis elegans from the Stanford Microarray Database. Through cross-validation and simulation, we find that, for all three species, our proposed imputation using data from public databases is far superior to imputation within a logical set, sometimes to an astonishing degree. Furthermore, the imputation root mean square error for significant genes is generally a lot less than that of non-significant ones. Conclusion Since downstream analysis of significant genes, such as clustering and network analysis, can be very sensitive to small perturbations of estimated gene effects, it is highly recommended that researchers apply reliable data imputation prior to further analysis. Our method can also be applied to cDNA microarray experiments from other species

  16. Elucidation of the antibacterial mechanism of the Curvularia haloperoxidase system by DNA microarray profiling

    DEFF Research Database (Denmark)

    Hansen, E.H.; Schembri, Mark; Klemm, Per; Schafer, T.; Molin, Søren; Gram, Lone

    2004-01-01

    A novel antimicrobial enzyme system, the Curvularia haloperoxidase system, was examined with the aim of elucidating its mechanism of antibacterial action. Escherichia coli strain MG1655 was stressed with sublethal concentrations of the enzyme system, causing a temporary arrest of growth. The expr...... pinpoint one of the specific responses of E. coli-namely, the Cpx pathway, which is important for managing the stress response from the Curvularia haloperoxidase system.......A novel antimicrobial enzyme system, the Curvularia haloperoxidase system, was examined with the aim of elucidating its mechanism of antibacterial action. Escherichia coli strain MG1655 was stressed with sublethal concentrations of the enzyme system, causing a temporary arrest of growth. The...... was the wild type. Our results demonstrate that DNA microarray technology cannot be used as the only technique to investigate the mechanisms of action of new antimicrobial compounds. However, by combining DNA microarray analysis with the subsequent creation of knockout mutants, we were able to...

  17. Lectin-microarray technique for glycomic profiling of fungal cell surfaces.

    Science.gov (United States)

    Shibazaki, Azusa; Gonoi, Tohru

    2014-01-01

    Lectin microarrays are rows of lectins with different carbohydrate-binding specificities spotted on surfaces of glass slides. Lectin microarray technique enables glycomic analyses of carbohydrate composition of fungal cell walls. We will describe an application of the technique in analyzing cell surface glycome of yeast-form fungal cells in the living state. The analysis reveals genus- and species-dependent complex cell surface carbohydrate structures of fungi, and enabled us, therefore, to suggest that cell walls of yeast cells, which have been considered to have relatively simple structures, actually have a more complex structure containing galactose and fucose. This shows that the technique can be used to find new insights into the study of phylogenetic relations and into the classification of cells in the fungal kingdom based on cell wall glycome. PMID:25117243

  18. Population Screening for Hemoglobinopathy Profiling: Is the Development of a Microarray Worthwhile?

    Science.gov (United States)

    Kambouris, Manousos E

    2016-08-01

    In order to perform affordable and expedient whole population scans for the single nucleotide polymorphisms (SNPs) involved in hemoglobinopathies, microarrays based on single nucleotide extension (SNE) might prove advantageous to whole genome/exome sequencing in terms of cost, speed, interpretation and discretion as they focus on a very small part of the tested genome. The development of a microarray assay entails most of the cost, to be deferred by the massive use of the end product. A microarray assay development project, involving multiplex polymerase chain reaction (PCR), labeling, hybridization and scanning/scoring steps is presented as a paradigm of objective bug ratios expected to such procedures and of ways to cope with them. Qualification of the microarray genotypes needs a reference method, which may still be restriction digestion or other, as sequencing remains an expensive commodity. Optimization of wet steps should also be followed by careful and perhaps individualized dye excitation and in silico scoring rules, taking into consideration decay and bleaching effects that perplex development. The strategy of successive elimination of problems, a top-bottom procedure, which had been used and is usually preferred by developing agencies, might have been erroneous; a bottom-up course to delineate issues in different levels, although more laborious, might be the correct choice, especially as software and robotic hardware, high throughput tools become more mature and available. The testing for interlocus compatibility, specificity and robustness is demanding and warranted only in the case of steady, high volume use of an assay for territorial, national or international use. PMID:27250938

  19. A quantitative comparison of cell-type-specific microarray gene expression profiling methods in the mouse brain.

    Directory of Open Access Journals (Sweden)

    Benjamin W Okaty

    Full Text Available Expression profiling of restricted neural populations using microarrays can facilitate neuronal classification and provide insight into the molecular bases of cellular phenotypes. Due to the formidable heterogeneity of intermixed cell types that make up the brain, isolating cell types prior to microarray processing poses steep technical challenges that have been met in various ways. These methodological differences have the potential to distort cell-type-specific gene expression profiles insofar as they may insufficiently filter out contaminating mRNAs or induce aberrant cellular responses not normally present in vivo. Thus we have compared the repeatability, susceptibility to contamination from off-target cell-types, and evidence for stress-responsive gene expression of five different purification methods--Laser Capture Microdissection (LCM, Translating Ribosome Affinity Purification (TRAP, Immunopanning (PAN, Fluorescence Activated Cell Sorting (FACS, and manual sorting of fluorescently labeled cells (Manual. We found that all methods obtained comparably high levels of repeatability, however, data from LCM and TRAP showed significantly higher levels of contamination than the other methods. While PAN samples showed higher activation of apoptosis-related, stress-related and immediate early genes, samples from FACS and Manual studies, which also require dissociated cells, did not. Given that TRAP targets actively translated mRNAs, whereas other methods target all transcribed mRNAs, observed differences may also reflect translational regulation.

  20. P53-M Real-Time PCR Array for Multi-Gene Expression Profiling and Microarray Data Validation: RT2 Profiler PCR Array

    OpenAIRE

    Arikawa, E; Pan, H.; Sun, Y.(Department of Physics and Astronomy, University of Alabama, Tuscaloosa, Alabama, 35487, U.S.A.); Wang, J.; Zhou, Q.; Prabhakar, S.; Wang, Y B; Dial, S.; B. Ning; Guo, L; Dragan, Y.; Yang, J

    2007-01-01

    Quantitative real-time reverse-transcription PCR (RT-qPCR) is presently the method of choice for validating gene expression results from high-density microarrays. However, the low throughput of traditional gene-by-gene RT-qPCR makes this process labor intensive and time consuming. To accelerate this laborious task, the SuperArray RT²Profiler PCR Array combines SYBR Green–based real-time RT-qPCR technology with a multi-gene array plate format to simultaneously analyze a panel of genes related ...

  1. Microarray Expression Profiling Identifies Genes with Altered Expression in HDL-Deficient Mice

    OpenAIRE

    Callow, Matthew J.; Dudoit, Sandrine; Gong, Elaine L.; Speed, Terence P.; Rubin, Edward M.

    2000-01-01

    Based on the assumption that severe alterations in the expression of genes known to be involved in high-density lipoprotein (HDL) metabolism may affect the expression of other genes, we screened an array of >5000 mouse expressed sequence tags for altered gene expression in the livers of two lines of mice with dramatic decreases in HDL plasma concentrations. Labeled cDNA from livers of apolipoprotein AI (apoAI)-knockout mice, scavenger receptor BI (SR-BI) transgenic mice, and control mice were...

  2. In vitro antioxidant and antigenotoxic potentials of myricetin-3-o-galactoside and myricetin-3-o-rhamnoside from Myrtus communis: modulation of expression of genes involved in cell defence system using cDNA microarray.

    Science.gov (United States)

    Hayder, Nawel; Bouhlel, Ines; Skandrani, Ines; Kadri, Malika; Steiman, Régine; Guiraud, Pascale; Mariotte, Anne-Marie; Ghedira, Kamel; Dijoux-Franca, Marie-Geneviève; Chekir-Ghedira, Leila

    2008-04-01

    Antioxidant activity of myricetin-3-o-galactoside and myricetin-3-o-rhamnoside, isolated from the leaves of Myrtus communis, was determined by the ability of each compound to inhibit xanthine oxidase activity, lipid peroxidation and to scavenge the free radical 1,1-diphenyl-2-picrylhydrazyl. Antimutagenic activity was assessed using the SOS chromotest and the Comet assay. The IC50 values of lipid peroxidation by myricetin-3-o-galactoside and myricetin-3-o-rhamnoside are respectively 160 microg/ml and 220 microg/ml. At a concentration of 100 microg/ml, the two compounds showed the most potent inhibitory effect of xanthine oxidase activity by respectively, 57% and 59%. Myricetin-3-o-rhamnoside was a very potent radical scavenger with an IC50 value of 1.4 microg/ml. Moreover, these two compounds induced an inhibitory activity against nifuroxazide, aflatoxine B1 and H2O2 induced mutagenicity. The protective effect exhibited by these molecules was also determined by analysis of gene expression as response to an oxidative stress using a cDNA micro-array. Myricetin-3-o-galactoside and myricetin-3-o-rhamnoside modulated the expression patterns of cellular genes involved in oxidative stress, respectively (GPX1, TXN, AOE372, SEPW1, SHC1) and (TXNRD1, TXN, SOD1 AOE372, SEPW1), in DNA damaging repair, respectively (XPC, LIG4, RPA3, PCNA, DDIT3, POLD1, XRCC5, MPG) and (TDG, PCNA, LIG4, XRCC5, DDIT3, MSH2, ERCC5, RPA3, POLD1), and in apoptosis (PARP). PMID:18222061

  3. Profiling Caenorhabditis elegans non-coding RNA expression with a combined microarray

    OpenAIRE

    He, Housheng; Cai, Lun; Skogerbø, Geir; Deng, Wei; Liu, Tao; Zhu, Xiaopeng; Wang, Yudong; Jia, Dong; Zhang, Zhihua; Tao, Yong; Zeng, Haipan; Aftab, Muhammad Nauman; Cui, Yan; Liu, Guozhen; Chen, Runsheng

    2006-01-01

    Small non-coding RNAs (ncRNAs) are encoded by genes that function at the RNA level, and several hundred ncRNAs have been identified in various organisms. Here we describe an analysis of the small non-coding transcriptome of Caenorhabditis elegans, microRNAs excepted. As a substantial fraction of the ncRNAs is located in introns of protein-coding genes in C.elegans, we also analysed the relationship between ncRNA and host gene expression. To this end, we designed a combined microarray, which i...

  4. Quantitative profiling of housekeeping and Epstein-Barr virus gene transcription in Burkitt lymphoma cell lines using an oligonucleotide microarray

    Directory of Open Access Journals (Sweden)

    Niggli Felix K

    2006-06-01

    Full Text Available Abstract Background The Epstein-Barr virus (EBV is associated with lymphoid malignancies, including Burkitt's lymphoma (BL, and can transform human B cells in vitro. EBV-harboring cell lines are widely used to investigate lymphocyte transformation and oncogenesis. Qualitative EBV gene expression has been extensively described, but knowledge of quantitative transcription is lacking. We hypothesized that transcription levels of EBNA1, the gene essential for EBV persistence within an infected cell, are similar in BL cell lines. Results To compare quantitative gene transcription in the BL cell lines Namalwa, Raji, Akata, Jijoye, and P3HR1, we developed an oligonucleotide microarray chip, including 17 housekeeping genes, six latent EBV genes (EBNA1, EBNA2, EBNA3A, EBNA3C, LMP1, LMP2, and four lytic EBV genes (BZLF1, BXLF2, BKRF2, BZLF2, and used the cell line B95.8 as a reference for EBV gene transcription. Quantitative polymerase chain reaction assays were used to validate microarray results. We found that transcription levels of housekeeping genes differed considerably among BL cell lines. Using a selection of housekeeping genes with similar quantitative transcription in the tested cell lines to normalize EBV gene transcription data, we showed that transcription levels of EBNA1 were quite similar in very different BL cell lines, in contrast to transcription levels of other EBV genes. As demonstrated with Akata cells, the chip allowed us to accurately measure EBV gene transcription changes triggered by treatment interventions. Conclusion Our results suggest uniform EBNA1 transcription levels in BL and that microarray profiling can reveal novel insights on quantitative EBV gene transcription and its impact on lymphocyte biology.

  5. Transcriptional Profiling of Hydrogen Production Metabolism of Rhodobacter capsulatus under Temperature Stress by Microarray Analysis.

    Science.gov (United States)

    Gürgan, Muazzez; Erkal, Nilüfer Afşar; Özgür, Ebru; Gündüz, Ufuk; Eroglu, Inci; Yücel, Meral

    2015-01-01

    Biohydrogen is a clean and renewable form of hydrogen, which can be produced by photosynthetic bacteria in outdoor large-scale photobioreactors using sunlight. In this study, the transcriptional response of Rhodobacter capsulatus to cold (4 °C) and heat (42 °C) stress was studied using microarrays. Bacteria were grown in 30/2 acetate/glutamate medium at 30 °C for 48 h under continuous illumination. Then, cold and heat stresses were applied for two and six hours. Growth and hydrogen production were impaired under both stress conditions. Microarray chips for R. capsulatus were custom designed by Affymetrix (GeneChip®. TR_RCH2a520699F). The numbers of significantly changed genes were 328 and 293 out of 3685 genes under cold and heat stress, respectively. Our results indicate that temperature stress greatly affects the hydrogen production metabolisms of R. capsulatus. Specifically, the expression of genes that participate in nitrogen metabolism, photosynthesis and the electron transport system were induced by cold stress, while decreased by heat stress. Heat stress also resulted in down regulation of genes related to cell envelope, transporter and binding proteins. Transcriptome analysis and physiological results were consistent with each other. The results presented here may aid clarification of the genetic mechanisms for hydrogen production in purple non-sulfur (PNS) bacteria under temperature stress. PMID:26086826

  6. Transcriptional Profiling of Hydrogen Production Metabolism of Rhodobacter capsulatus under Temperature Stress by Microarray Analysis

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    Muazzez Gürgan

    2015-06-01

    Full Text Available Biohydrogen is a clean and renewable form of hydrogen, which can be produced by photosynthetic bacteria in outdoor large-scale photobioreactors using sunlight. In this study, the transcriptional response of Rhodobacter capsulatus to cold (4 °C and heat (42 °C stress was studied using microarrays. Bacteria were grown in 30/2 acetate/glutamate medium at 30 °C for 48 h under continuous illumination. Then, cold and heat stresses were applied for two and six hours. Growth and hydrogen production were impaired under both stress conditions. Microarray chips for R. capsulatus were custom designed by Affymetrix (GeneChip®. TR_RCH2a520699F. The numbers of significantly changed genes were 328 and 293 out of 3685 genes under cold and heat stress, respectively. Our results indicate that temperature stress greatly affects the hydrogen production metabolisms of R. capsulatus. Specifically, the expression of genes that participate in nitrogen metabolism, photosynthesis and the electron transport system were induced by cold stress, while decreased by heat stress. Heat stress also resulted in down regulation of genes related to cell envelope, transporter and binding proteins. Transcriptome analysis and physiological results were consistent with each other. The results presented here may aid clarification of the genetic mechanisms for hydrogen production in purple non-sulfur (PNS bacteria under temperature stress.

  7. Development of a Method for Profiling Protein Interactions with LNA-Modified Antisense Oligonucleotides Using Protein Microarrays.

    Science.gov (United States)

    Kakiuchi-Kiyota, Satoko; Whiteley, Lawrence O; Ryan, Anne M; Mathialagan, Nagappan

    2016-04-01

    Development of locked nucleic acid (LNA) gapmers, antisense oligonucleotides used for efficient inhibition of target RNA expression, is limited by nontarget-mediated hepatotoxicity. Increased binding of hepatocellular proteins to toxic LNA gapmers may be one of the mechanisms contributing to LNA gapmer-induced hepatotoxicity in vivo. In the present study, we investigated the protein binding propensity of nontoxic sequence-1 (NTS-1), toxic sequence-2 (TS-2), and severely highly toxic sequence-3 (HTS-3) LNA gapmers using human protein microarrays. We previously demonstrated by the transcription profiling analysis of liver RNA isolated from mice that TS-2 and HTS-3 gapmers modulate different transcriptional pathways in mice leading to hepatotoxicity. Our protein array profiling demonstrated that a greater number of proteins, including ones associated with hepatotoxicity, hepatic system disorder, and cell functions, were bound by TS-2 and HTS-3 compared with NTS-1. However, the profiles of proteins bound by TS-2 and HTS-3 were similar and did not distinguish proteins contributing to severe in vivo toxicity. These results, together with the previous transcription profiling analysis, indicate that the combination of sequence-dependent transcription modulation and increased protein binding of toxic LNA gapmers contributes to hepatotoxicity. PMID:26643897

  8. High-throughput microarray profiling of cell wall polymers during hydrothermal pre-treatment of wheat straw.

    Science.gov (United States)

    Alonso-Simón, Ana; Kristensen, Jan Bach; Obro, Jens; Felby, Claus; Willats, William G T; Jørgensen, Henning

    2010-02-15

    Lignocellulosic plant material is potentially a sustainable source of fermentable sugars for bioethanol production. However, a barrier to this is the high resistance or recalcitrance of plant cell walls to be hydrolyzed. Therefore, a detailed knowledge of the structural features of plant cell walls that contribute to recalcitrance is important for improving the efficiency of bioethanol production. In this work we have used a technique known as Comprehensive Microarray Polymer Profiling (CoMPP) to analyze wheat straw before and after being subjected to hydrothermal pre-treatments at four different temperatures. The CoMPP technique combines the specificity of monoclonal antibodies with the high-throughput capacity of microarrays. Changes in the relative abundance of cell wall polysaccharides could be tracked during processing, and a reduction in xylan, arabinoxylans, xyloglucan, and mixed-linked glucan epitopes was detected at the two highest temperatures of pre-treatment used. This work demonstrates the potential of CoMPP as a complementally technique to conventional methods for analyzing biomass composition. PMID:19777595

  9. Microarray gene expression profiles from mature gonad tissues of Atlantic bluefin tuna, Thunnus thynnus in the Gulf of Mexico

    Directory of Open Access Journals (Sweden)

    Gardner Luke D

    2012-10-01

    Full Text Available Abstract Background Bluefin tunas are highly prized pelagic fish species representing a significant economic resource to fisheries throughout the world. Atlantic bluefin tuna (Thunnus thynnus populations have significantly declined due to overexploitation. As a consequence of their value and population decline, T. thynnus has been the focus of considerable research effort concerning many aspects of their life history. However, in-depth understanding of T. thynnus reproductive biology is still lacking. Knowledge of reproductive physiology is a very important tool for determining effective fisheries and aquaculture management. Transcriptome techniques are proving powerful and provide novel insights into physiological processes. Construction of a microarray from T. thynnus ESTs sourced from reproductive tissues has provided an ideal platform to study the reproductive physiology of bluefin tunas. The aim of this investigation was to compare transcription profiles from the ovaries and testes of mature T. thynnus to establish sex specific variations underlying their reproductive physiology. Results Male and females T. thynnus gonad tissues were collected from the wild and histologically staged. Sub-samples of sexually mature tissues were also measured for their mRNA differential expression among the sexes using the custom microarray design BFT 4X44K. A total of 7068 ESTs were assessed for differential expression of which 1273 ESTs were significantly different (p2 fold change in expression according to sex. Differential expression for 13 of these ESTs was validated with quantitative PCR. These include genes involved in egg envelope formation, hydration, and lipid transport/accumulation more highly expressed in ovaries compared with testis, while genes involved in meiosis, sperm motility and lipid metabolism were more highly expressed in testis compared with ovaries. Conclusions This investigation has furthered our knowledge of bluefin tunas

  10. Multi-faceted, multi-versatile microarray: simultaneous detection of many viruses and their expression profiles

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    Li Ching

    2004-05-01

    Full Text Available Abstract There are hundreds of viruses that infect different human organs and cause diseases. Some fatal emerging viral infections have become serious public health issues worldwide. Early diagnosis and subsequent treatment are therefore essential for fighting viral infections. Current diagnostic techniques frequently employ polymerase chain reaction (PCR-based methods to quickly detect the pathogenic viruses and establish the etiology of the disease or illness. However, the fast PCR method suffers from many drawbacks such as a high false-positive rate and the ability to detect only one or a few gene targets at a time. Microarray technology solves the problems of the PCR limitations and can be effectively applied to all fields of molecular medicine. Recently, a report in Retrovirology described a multi-virus DNA array that contains more than 250 open reading frames from eight human viruses including human immunodeficiency virus type 1. This array can be used to detect multiple viral co-infections in cells and in vivo. Another benefit of this kind of multi-virus array is in studying promoter activity and viral gene expression and correlating such readouts with the progression of disease and reactivation of latent infections. Thus, the virus DNA-chip development reported in Retrovirology is an important advance in diagnostic application which could be a potent clinical tool for characterizing viral co-infections in AIDS as well as other patients.

  11. Comparative profiling of the transcriptional response to infection in two species of Drosophila by short-read cDNA sequencing

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    Sackton Timothy B

    2009-06-01

    Full Text Available Abstract Background Homology-based comparisons of the genes involved in innate immunity across many insect taxa with fully sequenced genomes has revealed a striking pattern of gene gain and loss, particularly among genes that encode proteins involved in clearing pathogens (effectors. However, limited functional annotation in non-model systems has hindered understanding of evolutionary novelties in the insect innate immune system. Results We use short read sequencing technology (Illumina/Solexa to compare the transcriptional response to infection between the well studied model system Drosophila melanogaster and the distantly related drosophilid D. virilis. We first demonstrate that Illumina/Solexa sequencing of cDNA from infected and uninfected D. melanogaster recapitulates previously published microarray studies of the transcriptional response to infection in this species, validating our approach. We then show that patterns of transcription of homologous genes differ considerably between D. melanogaster and D. virilis, and identify potential candidates for novel components of the D. virilis immune system based on transcriptional data. Finally, we use a proteomic approach to characterize the protein constituents of the D. virilis hemolymph and validate our transcriptional data. Conclusion These results suggest that the acquisition of novel components of the immune system, and particularly novel effector proteins, may be a common evolutionary phenomenon.

  12. A method for diagnosis of plant environmental stresses by gene expression profiling using a cDNA macroarray

    International Nuclear Information System (INIS)

    Plants in the field are subjected to numerous environmental stresses. Lengthy continuation of such environmental stresses or a rapid increase in their intensity is harmful to vegetation. Assessments of the phytotoxicity of various stresses have been performed in many countries, although they have largely been based on estimates of leaf injury. We developed a novel method of detecting plant stresses that is more sensitive and specific than those previously available. This method is based on the detection of mRNA expression changes in 205 ozone-responsive Arabidopsis expressed sequence tags (ESTs) by cDNA macroarray analysis. By using this method, we illustrated shifts in gene expression in response to stressors such as drought, salinity, UV-B, low temperature, high temperature, and acid rain, as distinct from those in response to ozone. We also made a mini-scale macroarray with 12 ESTs for diagnosis of the above environmental stresses in plants. These results illustrate the potential of our cDNA macroarray for diagnosis of various stresses in plants

  13. Microarray-based gene expression profiling of peripheral blood mononuclear cells in dairy cows with experimental hypocalcemia and milk fever.

    Science.gov (United States)

    Sasaki, K; Yamagishi, N; Kizaki, K; Sasaki, K; Devkota, B; Hashizume, K

    2014-01-01

    Although a molecular diagnostic assay using clinically accessible tissue, such as blood, would facilitate evaluation of disease conditions in humans and animals, little information exists on microarray-based gene expression profiling of circulating leukocytes from clinically hypocalcemic cows. Therefore, peripheral blood mononuclear cells from dairy cows with experimentally induced hypocalcemia or spontaneous milk fever were subjected to oligo-microarray analysis to identify specific biomarker genes. In experimental hypocalcemia induced by a 4-h infusion of 10% disodium EDTA (n=4), 32 genes were significantly up- or downregulated compared with control treatment (4-h infusion of 11% calcium EDTA; n=4). In cows with milk fever (n=8), 98 genes were expressed differentially (either up- or downregulated) compared with healthy parturient cows (n=5). From these data, the following 5 genes were selected as being strongly related to both experimental hypocalcemia and milk fever: protein kinase (cAMP-dependent, catalytic) inhibitor β (PKIB); DNA-damage-inducible transcript 4 (DDIT4); period homolog 1 (PER1); NUAK family, SNF1-like kinase, 1 (NUAK1); and expressed sequence tag (BI537947). Another gene (neuroendocrine secretory protein 55, NESP55) was also determined to be specific for milk fever, independently of hypocalcemia. The mRNA expression of these 6 genes in milk fever cases was verified by quantitative real-time reverse-transcription PCR and was significantly different compared with their expression in healthy parturient cows. In the present study, the selected genes appeared to be candidate biomarkers of milk fever because the continuous interactions between blood cells and the entire body suggest that subtle intracellular changes occur in association with disease. However, before any genomic biomarkers are incorporated into clinical evaluation of the disease, the effect of hypocalcemia on the mRNA expression of these genes in the tissues that regulate calcium

  14. Whole genome protein microarrays for serum profiling of immunodominant antigens of Bacillus anthracis

    Directory of Open Access Journals (Sweden)

    Karen Elizabeth Kempsell

    2015-08-01

    Full Text Available A commercial Bacillus anthracis (Anthrax whole genome protein microarray has been used to identify immunogenic Anthrax proteins using sera from groups of donors with (a confirmed B. anthracis naturally acquired cutaneous infection, (b confirmed B. anthracis intravenous drug use-acquired infection (c occupational exposure in a wool-sorters factory (d humans and rabbits vaccinated with the UK Anthrax protein vaccine and compared to naïve unexposed controls. Anti-IAP responses were observed for both IgG and IgA in the challenged groups; however the anti-IAP IgG response was more evident in the vaccinated group and the anti-IAP IgA response more evident in the B. anthracis-infected groups. Infected individuals appeared somewhat suppressed for their general IgG response, compared with other challenged groups.Immunogenic protein antigens were identified in all groups, some of which were shared between groups whilst others were specific for individual groups. The toxin proteins were immunodominant in all vaccinated, infected or other challenged groups. However a number of other chromosomally-located and plasmid encoded open reading frames were also recognised by infected or exposed groups in comparison to controls. Some of these antigens e.g. BA4182 are not recognised by vaccinated individuals, suggesting that there are proteins more specifically expressed by live Anthrax spores in vivo and are not currently found in the UK licensed Anthrax Vaccine (AVP. These may perhaps be preferentially expressed during infection and represent expression of alternative pathways in the B. anthracis ‘infectome’. These may make highly attractive candidates for diagnostic and vaccine biomarker development as they may be more specifically associated with the infectious phase of the pathogen. A number of B. anthracis small hypothetical protein targets have been synthesised, tested in mouse immunogenicity studies and validated in parallel using human sera from the

  15. Microarray analyses and molecular profiling of steatosis induction in immortalized human hepatocytes.

    Science.gov (United States)

    De Gottardi, Andrea; Vinciguerra, Manlio; Sgroi, Antonino; Moukil, Moulay; Ravier-Dall'Antonia, Florence; Pazienza, Valerio; Pugnale, Paolo; Foti, Michelangelo; Hadengue, Antoine

    2007-08-01

    Hepatic steatosis is an important risk factor for the development of inflammation, fibrosis and impaired liver regeneration. The factors regulating lipid accumulation and driving hepatic steatosis toward inflammation, fibrosis and impaired regeneration are largely unknown. The aim of this study was to identify major alterations in gene expression occurring in steatotic hepatocytes, and to analyze how these changes impact cellular processes associated with steatosis. Microarray gene chips and RT-PCR were performed to analyze changes in gene expression induced in fatty human immortalized hepatocytes after treatment with 50 muM oleic acid for 7 days. Lipid metabolism and triglyceride accumulation in these cells was examined by Oil-Red-O staining, thin-layer chromatography (TLC) and immunofluorescence. Caspase 3 activity, BrdU incorporation and trypan blue exclusion were used to study apoptosis, proliferation and cell viability. Finally, quantitative analysis of signalling induced by insulin was performed by Western blot. Characterization of steatosis in three hepatocyte-derived cell lines indicated that the immortalized human hepatocytes (IHH) line was the most appropriate cell line for this study. Gene expression analysis showed significant alterations in the transcription of two major classes of genes involved either in cholesterol and fatty acid biosynthesis, as well as lipid export, or in apoptosis and cell proliferation. Such changes were functionally relevant, since TLC indicated that synthesis and accumulation of triglycerides were increased in steatotic cells, while synthesis of cholesterol and fatty acids were decreased. Lipid accumulation in IHH was associated with an increased apoptosis and an inhibition of cell proliferation and viability. No detectable changes in genes associated with insulin resistance were observed in steatotic cells, but signalling induced by insulin was more efficient in steatotic IHH as compared to control cells. We conclude that IHH

  16. Gene expression profile analysis of genes in rat hippocampus from antidepressant treated rats using DNA microarray

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    Shin Minkyu

    2010-11-01

    Full Text Available Abstract Background The molecular and biological mechanisms by which many antidepressants function are based on the monoamine depletion hypothesis. However, the entire cascade of mechanisms responsible for the therapeutic effect of antidepressants has not yet been elucidated. Results We used a genome-wide microarray system containing 30,000 clones to evaluate total RNA that had been isolated from the brains of treated rats to identify the genes involved in the therapeutic mechanisms of various antidepressants, a tricyclic antidepressant (imipramine. a selective serotonin reuptake inhibitor (fluoxetine, a monoamine oxidase inhibitor (phenelzine and psychoactive herbal extracts of Nelumbinis Semen (NS. To confirm the differential expression of the identified genes, we analyzed the amount of mRNA that was isolated from the hippocampus of rats that had been treated with antidepressants by real-time RT-PCR using primers specific for selected genes of interest. These data demonstrate that antidepressants interfere with the expression of a large array of genes involved in signaling, survival and protein metabolism, suggesting that the therapeutic effect of these antidepressants is very complex. Surprisingly, unlike other antidepressants, we found that the standardized herbal medicine, Nelumbinis Semen, is free of factors that can induce neurodegenerative diseases such as caspase 8, α-synuclein, and amyloid precursor protein. In addition, the production of the inflammatory cytokine, IFNγ, was significantly decreased in rat hippocampus in response to treatment with antidepressants, while the inhibitory cytokine, TGFβ, was significantly enhanced. Conclusions These results suggest that antidepressants function by regulating neurotransmission as well as suppressing immunoreactivity in the central nervous system.

  17. Unique gene expression profile in osteoarthritis synovium compared with cartilage: analysis of publicly accessible microarray datasets.

    Science.gov (United States)

    Park, Robin; Ji, Jong Dae

    2016-06-01

    The purpose of this study was to identify a gene expression signature in osteoarthritis (OA) synovium and genomic pathways likely to be involved in the pathogenesis of OA. Four publicly accessible microarray studies from synovium of OA patients were integrated, and a transcriptomic and network-based meta-analysis was performed. Based on pathways according to the Kyoto Encyclopedia of Genes and Genomes, functional enrichment analysis was performed. Meta-analysis results of OA synovium were compared to two previously published studies of OA cartilage to determine the relative number of common and specific DEGs of the cartilage and synovium. According to our meta-analysis, a total of 1350 genes were found to be differentially expressed in the synovium of OA patients as compared to that of healthy controls. Pathway analysis found 41 significant pathways in the total DEGs, and 22 and 16 pathways in the upregulated and downregulated DEGs, respectively. Cell adhesion molecules and cytokine-cytokine receptor interaction were the most significant pathway in the upregulated and downregulated DEGs, respectively. Comparison of meta-analysis results of OA synovium with results of two previous studies of OA cartilage identified 85 common genes and 1632 cartilage-specific DEGs and 1265 synovium-specific DEGs in the first study; and 142 common genes, and 856 cartilage-specific DEGs and 1208 synovium-specific DEGs in the second study. Our results show a small overlap between the DEGs of the synovium compared to DEGs of the cartilage, suggesting different pathogenic mechanisms that are specific to the synovium. PMID:26942917

  18. Microarray results: how accurate are they?

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    Mane Shrikant

    2002-08-01

    Full Text Available Abstract Background DNA microarray technology is a powerful technique that was recently developed in order to analyze thousands of genes in a short time. Presently, microarrays, or chips, of the cDNA type and oligonucleotide type are available from several sources. The number of publications in this area is increasing exponentially. Results In this study, microarray data obtained from two different commercially available systems were critically evaluated. Our analysis revealed several inconsistencies in the data obtained from the two different microarrays. Problems encountered included inconsistent sequence fidelity of the spotted microarrays, variability of differential expression, low specificity of cDNA microarray probes, discrepancy in fold-change calculation and lack of probe specificity for different isoforms of a gene. Conclusions In view of these pitfalls, data from microarray analysis need to be interpreted cautiously.

  19. Whole genome expression profiling using DNA microarray for determining biocompatibility of polymeric surfaces

    DEFF Research Database (Denmark)

    Stangegaard, Michael; Wang, Zhenyu; Kutter, Jörg Peter;

    2006-01-01

    There is an ever increasing need to find surfaces that are biocompatible for applications like medical implants and microfluidics-based cell culture systems. The biocompatibility of five different surfaces with different hydrophobicity was determined using gene expression profiling as well as more...

  20. Distinctive serum protein profiles involving abundant proteins in lung cancer patients based upon antibody microarray analysis

    International Nuclear Information System (INIS)

    Cancer serum protein profiling by mass spectrometry has uncovered mass profiles that are potentially diagnostic for several common types of cancer. However, direct mass spectrometric profiling has a limited dynamic range and difficulties in providing the identification of the distinctive proteins. We hypothesized that distinctive profiles may result from the differential expression of relatively abundant serum proteins associated with the host response. Eighty-four antibodies, targeting a wide range of serum proteins, were spotted onto nitrocellulose-coated microscope slides. The abundances of the corresponding proteins were measured in 80 serum samples, from 24 newly diagnosed subjects with lung cancer, 24 healthy controls, and 32 subjects with chronic obstructive pulmonary disease (COPD). Two-color rolling-circle amplification was used to measure protein abundance. Seven of the 84 antibodies gave a significant difference (p < 0.01) for the lung cancer patients as compared to healthy controls, as well as compared to COPD patients. Proteins that exhibited higher abundances in the lung cancer samples relative to the control samples included C-reactive protein (CRP; a 13.3 fold increase), serum amyloid A (SAA; a 2.0 fold increase), mucin 1 and α-1-antitrypsin (1.4 fold increases). The increased expression levels of CRP and SAA were validated by Western blot analysis. Leave-one-out cross-validation was used to construct Diagonal Linear Discriminant Analysis (DLDA) classifiers. At a cutoff where all 56 of the non-tumor samples were correctly classified, 15/24 lung tumor patient sera were correctly classified. Our results suggest that a distinctive serum protein profile involving abundant proteins may be observed in lung cancer patients relative to healthy subjects or patients with chronic disease and may have utility as part of strategies for detecting lung cancer

  1. Whole genome expression profiling using DNA microarray for determining biocompatibility of polymeric surfaces

    DEFF Research Database (Denmark)

    Stangegaard, Michael; Wang, Zhenyu; Kutter, Jörg Peter; Dufva, Hans Martin; Wolff, Anders

    2006-01-01

    There is an ever increasing need to find surfaces that are biocompatible for applications like medical implants and microfluidics-based cell culture systems. The biocompatibility of five different surfaces with different hydrophobicity was determined using gene expression profiling as well as more...... conventional methods to determine biocompatibility such as cellular growth rate, morphology and the hydrophobicity of the surfaces. HeLa cells grown on polymethylmethacrylate (PMMA) or a SU-8 surface treated with HNO3-ceric ammonium nitrate (HNO3-CAN) and ethanolamine showed no differences in growth rate......, morphology or gene expression profiles as compared to HeLa cells grown in cell culture flasks. Cells grown on SU-8 treated with only HNO3-CAN showed almost the same growth rate (36 ¡ 1 h) and similar morphology as cells grown in cell culture flasks (32 ¡ 1 h), indicating good biocompatibility. However, more...

  2. Expression profiling of five different xenobiotics using a Caenorhabditis elegans whole genome microarray.

    Science.gov (United States)

    Reichert, Kerstin; Menzel, Ralph

    2005-10-01

    The soil nematode Caenorhabditis elegans is frequently used in ecotoxicological studies due to its wide distribution in terrestrial habitats, its easy handling in the laboratory, and its sensitivity against different kinds of stress. Since its genome has been completely sequenced, more and more studies are investigating the functional relation of gene expression and phenotypic response. For these reasons C. elegans seems to be an attractive animal for the development of a new, genome based, ecotoxicological test system. In recent years, the DNA array technique has been established as a powerful tool to obtain distinct gene expression patterns in response to different experimental conditions. Using a C. elegans whole genome DNA microarray in this study, the effects of five different xenobiotics on the gene expression of the nematode were investigated. The exposure time for the following five applied compounds beta-NF (5 mg/l), Fla (0.5 mg/l), atrazine (25 mg/l), clofibrate (10 mg/l) and DES (0.5 mg/l) was 48+/-5 h. The analysis of the data showed a clear induction of 203 genes belonging to different families like the cytochromes P450, UDP-glucoronosyltransferases (UDPGT), glutathione S-transferases (GST), carboxylesterases, collagenes, C-type lectins and others. Under the applied conditions, fluoranthene was able to induce most of the induceable genes, followed by clofibrate, atrazine, beta-naphthoflavone and diethylstilbestrol. A decreased expression could be shown for 153 genes with atrazine having the strongest effect followed by fluoranthene, diethylstilbestrol, beta-naphthoflavone and clofibrate. For upregulated genes a change ranging from approximately 2.1- till 42.3-fold and for downregulated genes from approximately 2.1 till 6.6-fold of gene expression could be affected through the applied xenobiotics. The results confirm the applicability of the gene expression for the development of an ecotoxicological test system. Compared to classical tests the main

  3. Preparing unbiased T cell receptor and antibody cDNA libraries for the deep next generation sequencing profiling

    Directory of Open Access Journals (Sweden)

    Ilgar Z Mamedov

    2013-12-01

    Full Text Available High-throughput sequencing has the power to reveal the nature of adaptive immunity as represented by the full complexity of T cell receptor (TCR and antibody (IG repertoires, but is at present severely compromised by the quantitative bias, bottlenecks, and accumulated errors that inevitably occur in the course of library preparation and sequencing. Here we report an optimized protocol for the unbiased preparation of TCR and IG cDNA libraries for high-throughput sequencing, starting from thousands or millions of live cells in an investigated sample. Critical points to control are revealed, along with tips that allow researchers to minimize quantitative bias, accumulated errors, and cross-sample contamination at each stage, and to enhance the subsequent bioinformatic analysis. The protocol is simple, reliable, and can be performed in 1–2 days.

  4. Molecular cloning and in silico analysis of the duck (Anas platyrhynchos MEF2A gene cDNA and its expression profile in muscle tissues during fetal development

    Directory of Open Access Journals (Sweden)

    Hehe Liu

    2012-01-01

    Full Text Available The role of myogenic enhancer transcription factor 2a (MEF2A in avian muscle during fetal development is unknown. In this work, we cloned the duck MEF2A cDNA sequence (GenBank accession no. HM460752 and examined its developmental expression profiles in cardiac muscle, non-vascular smooth muscle and skeletal muscle. Duck MEF2A cDNA comprised 1479 bp encoding 492 amino acid residues. In silico analysis showed that MEF2A contained MADS (MCM1, AGAMOUS, DEFICIENS and SRF -serum response factor, MEF2 and mitogen-activated protein kinase (MAPK transcription domains with high homology to related proteins in other species. Modified sites in these domains were conserved among species and several variants were found. Quantitative PCR showed that MEF2A was expressed in all three muscles at each developmental stage examined, with the expression in smooth muscle being higher than in the other muscles. These results indicate that the conserved domains of duck MEF2A, including the MADS and MEF2 domains, are important for MEF2A transcription factor function. The expression of MEF2A in duck smooth muscle and cardiac muscle suggests that MEF2A plays a role in these two tissues.

  5. Microarray-based gene expression profiles in rabbit retina due to negative pressure suction.

    Science.gov (United States)

    Zhao, H X; Niu, C M; Guan, W Y

    2012-01-01

    We investigated a possible molecular pathogenesis involving retinal ganglion cell apoptosis following transient high intraocular pressure. Changes in the gene expression profiles of the retina were detected via gene chip methodology. Twelve New Zealand white rabbits were randomly assigned to control and 3-min negative pressure suction groups. The control group was treated only with a laser, and the experimental group was also treated with suction for 3 min, using a negative pressure generator. Total RNA was then extracted from the retinal tissue at different recovery stages to analyze gene expression profiles using the Agilent rabbit one-way gene chip. The groups were then compared. Immediately after negative pressure suction induction, 704 genes were differentially expressed. Among these, 485 genes were upregulated, and 219 were downregulated. Expression of the genes encoding CRYAA, CRYAB, and TLR3 genes, which are involved in apoptosis, was elevated. The KRT18 gene, which is involved in apoptosis, had reduced expression. Seven days after negative pressure suction, 482 genes were differentially expressed. Among these, 178 genes were upregulated, and 304 were downregulated. Expression of the genes encoding CRYAB, IL1-BETA and IL1R1, which are involved in apoptosis, was upregulated. Ten days after negative pressure suction, 402 genes were differentially expressed. Of these, 213 genes were upregulated, and 189 were downregulated. Apoptosis genes CRYAB, CRYBA3, CRYBB2, IL1- BETA, and IL1R1 showed higher expression levels. We concluded that negative pressure suction for long periods of time (for example, 3 min) results in changes in gene expression. Genes with higher fold changes help protect retinal ganglion cells from apoptosis. We suggest that promoting the expression of these genes should be considered as a new means for treating ischemic-hypoxic retinopathy. PMID:22653643

  6. Cri-Du-Chat Syndrome: Clinical Profile and Chromosomal Microarray Analysis in Six Patients.

    Science.gov (United States)

    Espirito Santo, Layla Damasceno; Moreira, Lília Maria Azevedo; Riegel, Mariluce

    2016-01-01

    Cri-du-chat syndrome is a chromosomal disorder caused by a deletion of the short arm of chromosome 5. The disease severity, levels of intellectual and developmental delay, and patient prognosis have been related to the size and position of the deletion. Aiming to establish genotype-phenotype correlations, we applied array-CGH to evaluate six patients carrying cytogenetically detected deletions of the short arm of chromosome 5 who were followed at a genetics community service. The patients' cytogenetic and clinical profiles were reevaluated. A database review was performed to predict additional genes and regulatory elements responsible for the characteristic phenotypic and behavioral traits of this disorder. Array-CGH analysis allowed for delineation of the terminal deletions, which ranged in size from approximately 11.2 Mb to 28.6 Mb, with breakpoints from 5p15.2 to 5p13. An additional dup(8)(p23) (3.5 Mb), considered to be a benign copy number variation, was also observed in one patient. The correlation coefficient value (ρ = 0.13) calculated indicated the presence of a weak relationship between developmental delay and deletion size. Genetic background, family history, epigenetic factors, quantitative trait locus polymorphisms, and environmental factors may also affect patient phenotype and must be taken into account in genotype-phenotype correlations. PMID:27144168

  7. Microarray Analysis of Gene Expression Profiles of Schistosoma japonicum Derived from Less-Susceptible Host Water Buffalo and Susceptible Host Goat

    OpenAIRE

    Jianmei Yang; Yang Hong; Chunxiu Yuan; Zhiqiang Fu; Yaojun Shi; Min Zhang; Liuhong Shen; Yanhui Han; Chuangang Zhu; Hao Li; Ke Lu; Jinming Liu; Xingang Feng; Jiaojiao Lin

    2013-01-01

    BACKGROUND: Water buffalo and goats are natural hosts for S. japonicum in endemic areas of China. The susceptibility of these two hosts to schistosome infection is different, as water buffalo are less conducive to S. japonicum growth and development. To identify genes that may affect schistosome development and survival, we compared gene expression profiles of schistosomes derived from these two natural hosts using high-throughput microarray technology. RESULTS: The worm recovery rate was low...

  8. Microarray Study of Pathway Analysis Expression Profile Associated with MicroRNA-29a with Regard to Murine Cholestatic Liver Injuries

    Directory of Open Access Journals (Sweden)

    Sung-Chou Li

    2016-03-01

    Full Text Available Accumulating evidence demonstrates that microRNA-29 (miR-29 expression is prominently decreased in patients with hepatic fibrosis, which consequently stimulates hepatic stellate cells’ (HSCs activation. We used a cDNA microarray study to gain a more comprehensive understanding of genome-wide gene expressions by adjusting miR-29a expression in a bile duct-ligation (BDL animal model. Methods: Using miR-29a transgenic mice and wild-type littermates and applying the BDL mouse model, we characterized the function of miR-29a with regard to cholestatic liver fibrosis. Pathway enrichment analysis and/or specific validation were performed for differentially expressed genes found within the comparisons. Results: Analysis of the microarray data identified a number of differentially expressed genes due to the miR-29a transgene, BDL, or both. Additional pathway enrichment analysis revealed that TGF-β signaling had a significantly differential activated pathway depending on the occurrence of miR-29a overexpression or the lack thereof. Furthermore, overexpression was found to elicit changes in Wnt/β-catenin after BDL. Conclusion: This study verified that an elevated miR-29a level could alleviate liver fibrosis caused by cholestasis. Furthermore, the protective effects of miR-29a correlate with the downregulation of TGF-β and associated with Wnt/β-catenin signal pathway following BDL.

  9. CYR61 is a novel gene associated with temperature-dependent changes in fish metabolism as revealed by cDNA microarray analysis on a medaka Oryzias latipes cell line.

    Science.gov (United States)

    Hirayama, Makoto; Ahsan, Md Nazmul; Mitani, Hiroshi; Watabe, Shugo

    2008-07-01

    A microarray comprising 3,514 cDNAs was constructed from a medaka EST library to elucidate the transcriptional responses associated with temperature shift from 25 to 15 degrees C in a medaka cell line. Microarray analysis revealed that the mRNA levels of 313 clones were significantly different in at least one combination of different incubation periods up to 7 days at a given incubation temperature or between 25 and 15 degrees C at a given incubation period (P poikilotherms. PMID:18286541

  10.  DNA microarray-based gene expression profiling in diagnosis, assessing prognosis and predicting response to therapy in colorectal cancer

    Directory of Open Access Journals (Sweden)

    Przemysław Kwiatkowski

    2012-06-01

    Full Text Available  Colorectal cancer is the most common cancer of the gastrointestinal tract. It is considered as a biological model of a certain type of cancerogenesis process in which progression from an early to late stage adenoma and cancer is accompanied by distinct genetic alterations.Clinical and pathological parameters commonly used in clinical practice are often insufficient to determine groups of patients suitable for personalized treatment. Moreover, reliable molecular markers with high prognostic value have not yet been determined. Molecular studies using DNA-based microarrays have identified numerous genes involved in cell proliferation and differentiation during the process of cancerogenesis. Assessment of the genetic profile of colorectal cancer using the microarray technique might be a useful tool in determining the groups of patients with different clinical outcomes who would benefit from additional personalized treatment.The main objective of this study was to present the current state of knowledge on the practical application of gene profiling techniques using microarrays for determining diagnosis, prognosis and response to treatment in colorectal cancer.

  11. Quantitative multiplex quantum dot in-situ hybridisation based gene expression profiling in tissue microarrays identifies prognostic genes in acute myeloid leukaemia

    International Nuclear Information System (INIS)

    Highlights: ► Development of a quantitative high throughput in situ expression profiling method. ► Application to a tissue microarray of 242 AML bone marrow samples. ► Identification of HOXA4, HOXA9, Meis1 and DNMT3A as prognostic markers in AML. -- Abstract: Measurement and validation of microarray gene signatures in routine clinical samples is problematic and a rate limiting step in translational research. In order to facilitate measurement of microarray identified gene signatures in routine clinical tissue a novel method combining quantum dot based oligonucleotide in situ hybridisation (QD-ISH) and post-hybridisation spectral image analysis was used for multiplex in-situ transcript detection in archival bone marrow trephine samples from patients with acute myeloid leukaemia (AML). Tissue-microarrays were prepared into which white cell pellets were spiked as a standard. Tissue microarrays were made using routinely processed bone marrow trephines from 242 patients with AML. QD-ISH was performed for six candidate prognostic genes using triplex QD-ISH for DNMT1, DNMT3A, DNMT3B, and for HOXA4, HOXA9, Meis1. Scrambled oligonucleotides were used to correct for background staining followed by normalisation of expression against the expression values for the white cell pellet standard. Survival analysis demonstrated that low expression of HOXA4 was associated with poorer overall survival (p = 0.009), whilst high expression of HOXA9 (p < 0.0001), Meis1 (p = 0.005) and DNMT3A (p = 0.04) were associated with early treatment failure. These results demonstrate application of a standardised, quantitative multiplex QD-ISH method for identification of prognostic markers in formalin-fixed paraffin-embedded clinical samples, facilitating measurement of gene expression signatures in routine clinical samples.

  12. Quantitative multiplex quantum dot in-situ hybridisation based gene expression profiling in tissue microarrays identifies prognostic genes in acute myeloid leukaemia

    Energy Technology Data Exchange (ETDEWEB)

    Tholouli, Eleni [Department of Haematology, Manchester Royal Infirmary, Oxford Road, Manchester, M13 9WL (United Kingdom); MacDermott, Sarah [The Medical School, The University of Manchester, Oxford Road, M13 9PT Manchester (United Kingdom); Hoyland, Judith [School of Biomedicine, Faculty of Medical and Human Sciences, The University of Manchester, Oxford Road, M13 9PT Manchester (United Kingdom); Yin, John Liu [Department of Haematology, Manchester Royal Infirmary, Oxford Road, Manchester, M13 9WL (United Kingdom); Byers, Richard, E-mail: richard.byers@cmft.nhs.uk [School of Cancer and Enabling Sciences, Faculty of Medical and Human Sciences, The University of Manchester, Stopford Building, Oxford Road, M13 9PT Manchester (United Kingdom)

    2012-08-24

    Highlights: Black-Right-Pointing-Pointer Development of a quantitative high throughput in situ expression profiling method. Black-Right-Pointing-Pointer Application to a tissue microarray of 242 AML bone marrow samples. Black-Right-Pointing-Pointer Identification of HOXA4, HOXA9, Meis1 and DNMT3A as prognostic markers in AML. -- Abstract: Measurement and validation of microarray gene signatures in routine clinical samples is problematic and a rate limiting step in translational research. In order to facilitate measurement of microarray identified gene signatures in routine clinical tissue a novel method combining quantum dot based oligonucleotide in situ hybridisation (QD-ISH) and post-hybridisation spectral image analysis was used for multiplex in-situ transcript detection in archival bone marrow trephine samples from patients with acute myeloid leukaemia (AML). Tissue-microarrays were prepared into which white cell pellets were spiked as a standard. Tissue microarrays were made using routinely processed bone marrow trephines from 242 patients with AML. QD-ISH was performed for six candidate prognostic genes using triplex QD-ISH for DNMT1, DNMT3A, DNMT3B, and for HOXA4, HOXA9, Meis1. Scrambled oligonucleotides were used to correct for background staining followed by normalisation of expression against the expression values for the white cell pellet standard. Survival analysis demonstrated that low expression of HOXA4 was associated with poorer overall survival (p = 0.009), whilst high expression of HOXA9 (p < 0.0001), Meis1 (p = 0.005) and DNMT3A (p = 0.04) were associated with early treatment failure. These results demonstrate application of a standardised, quantitative multiplex QD-ISH method for identification of prognostic markers in formalin-fixed paraffin-embedded clinical samples, facilitating measurement of gene expression signatures in routine clinical samples.

  13. Linkage of cDNA expression profiles of mesencephalic dopaminergic neurons to a genome-wide in situ hybridization database

    Directory of Open Access Journals (Sweden)

    Simon Horst H

    2009-01-01

    Full Text Available Abstract Midbrain dopaminergic neurons are involved in control of emotion, motivation and motor behavior. The loss of one of the subpopulations, substantia nigra pars compacta, is the pathological hallmark of one of the most prominent neurological disorders, Parkinson's disease. Several groups have looked at the molecular identity of midbrain dopaminergic neurons and have suggested the gene expression profile of these neurons. Here, after determining the efficiency of each screen, we provide a linked database of the genes, expressed in this neuronal population, by combining and comparing the results of six previous studies and verification of expression of each gene in dopaminergic neurons, using the collection of in situ hybridization in the Allen Brain Atlas.

  14. Development of the first marmoset-specific DNA microarray (EUMAMA: a new genetic tool for large-scale expression profiling in a non-human primate

    Directory of Open Access Journals (Sweden)

    Waegele Brigitte

    2007-06-01

    Full Text Available Abstract Background The common marmoset monkey (Callithrix jacchus, a small non-endangered New World primate native to eastern Brazil, is becoming increasingly used as a non-human primate model in biomedical research, drug development and safety assessment. In contrast to the growing interest for the marmoset as an animal model, the molecular tools for genetic analysis are extremely limited. Results Here we report the development of the first marmoset-specific oligonucleotide microarray (EUMAMA containing probe sets targeting 1541 different marmoset transcripts expressed in hippocampus. These 1541 transcripts represent a wide variety of different functional gene classes. Hybridisation of the marmoset microarray with labelled RNA from hippocampus, cortex and a panel of 7 different peripheral tissues resulted in high detection rates of 85% in the neuronal tissues and on average 70% in the non-neuronal tissues. The expression profiles of the 2 neuronal tissues, hippocampus and cortex, were highly similar, as indicated by a correlation coefficient of 0.96. Several transcripts with a tissue-specific pattern of expression were identified. Besides the marmoset microarray we have generated 3215 ESTs derived from marmoset hippocampus, which have been annotated and submitted to GenBank [GenBank: EF214838 – EF215447, EH380242 – EH382846]. Conclusion We have generated the first marmoset-specific DNA microarray and demonstrated its use to characterise large-scale gene expression profiles of hippocampus but also of other neuronal and non-neuronal tissues. In addition, we have generated a large collection of ESTs of marmoset origin, which are now available in the public domain. These new tools will facilitate molecular genetic research into this non-human primate animal model.

  15. Carbohydrate microarrays

    DEFF Research Database (Denmark)

    Park, Sungjin; Gildersleeve, Jeffrey C; Blixt, Klas Ola; Shin, Injae

    2012-01-01

    In the last decade, carbohydrate microarrays have been core technologies for analyzing carbohydrate-mediated recognition events in a high-throughput fashion. A number of methods have been exploited for immobilizing glycans on the solid surface in a microarray format. This microarray-based technol......In the last decade, carbohydrate microarrays have been core technologies for analyzing carbohydrate-mediated recognition events in a high-throughput fashion. A number of methods have been exploited for immobilizing glycans on the solid surface in a microarray format. This microarray......-based technology has been widely employed for rapid analysis of the glycan binding properties of lectins and antibodies, the quantitative measurements of glycan-protein interactions, detection of cells and pathogens, identification of disease-related anti-glycan antibodies for diagnosis, and fast assessment of...

  16. MicroRNA expression in melanocytic nevi: the usefulness of formalin-fixed, paraffin-embedded material for miRNA microarray profiling

    DEFF Research Database (Denmark)

    Glud, M.; Klausen, M.; Gniadecki, R.;

    2009-01-01

    surgical specimens are formalin fixed and paraffin embedded (FFPE). To explore whether FFPE material would be suitable for miRNA profiling in melanocytic lesions, we compared miRNA expression patterns in FFPE versus fresh frozen samples, obtained from 15 human melanocytic nevi. Out of microarray data, we...... therefore serve as biomarkers that may be useful in a clinical environment for diagnosis of various diseases. Most miRNA profiling studies have used fresh tissue samples. However, in some types of cancer, including malignant melanoma, fresh material is difficult to obtain from primary tumors, and most...... identified 84 miRNAs that were expressed in both types of samples and represented an miRNA profile of melanocytic nevi. Our results showed a high correlation in miRNA expression (Spearman r-value of 0.80) between paired FFPE and fresh frozen material. The data were further validated by quantitative RT...

  17. Estrogenic activity of bio-degradation products of C-heavy oil revealed by gene-expression profiling using an oligo-DNA microarray system

    International Nuclear Information System (INIS)

    Degradation of heavy oil by bacteria to decompose organic compounds such as aliphatic and aromatic hydrocarbons has been used in bioremediation. However, the biological and environmental effects of the degradation products including intermediates are still not clear. Here, we monitored the degradation of C-heavy oil by analyzing the products formed in cultures with oil-degrading bacteria (complex microbes or a single bacterial strain). Furthermore, proliferation assays using breast cancer MCF-7 cells and gene-expression profiling of MCF-7 cells using oligonucleotide-DNA microarrays were performed to evaluate the estrogenic activity of the degradation products. While the products did not show any significant cell-proliferative activity, the oil samples cultured for longer periods (2–3 months), whether cultured with mixed microbes or a single bacterial strain, showed gene-expression profiles similar to that of 17β-estradiol (E2). These results suggest that oil-degradation products have estrogenic activity, and estrogen-like components could possibly be produced during the degradation process. - Highlights: ► Oligonucleotide-DNA microarrays were used to monitor bio-degradation of C-heavy oil. ► The oil samples showed gene-expression profiles similar to that of 17β-estradiol. ► Estrogen-like components were produced during the degradation process. ► The effect of bio-degradation products on ecosystems needs more attention. ► DNA microarray assays may be useful for monitoring such products. - We found that the degradation products of C-heavy oil contained estrogen-like components, suggesting the effect of bio-degradation products on ecosystems.

  18. Comparative analysis of methods for gene transcription profiling data derived from different microarray technologies in rat and mouse models of diabetes

    Directory of Open Access Journals (Sweden)

    Bihoreau Marie-Thérèse

    2009-02-01

    Full Text Available Abstract Background Microarray technologies are widely used to quantify the abundance of transcripts corresponding to thousands of genes. To maximise the robustness of transcriptome results, we have tested the performance and reproducibility of rat and mouse gene expression data obtained with Affymetrix, Illumina and Operon platforms. Results We present a thorough analysis of the degree of reproducibility provided by analysing the transcriptomic profile of the same animals of several experimental groups under different popular microarray technologies in different tissues. Concordant results from inter- and intra-platform comparisons were maximised by testing many popular computational methods for generating fold changes and significances and by only considering oligonucleotides giving high expression levels. The choice of Affymetrix signal extraction technique was shown to have the greatest effect on the concordance across platforms. In both species, when choosing optimal methods, the agreement between data generated on the Affymetrix and Illumina was excellent; this was verified using qRT-PCR on a selection of genes present on all platforms. Conclusion This study provides an extensive assessment of analytical methods best suited for processing data from different microarray technologies and can assist integration of technologically different gene expression datasets in biological systems.

  19. Direct calibration of PICKY-designed microarrays

    Directory of Open Access Journals (Sweden)

    Ronald Pamela C

    2009-10-01

    Full Text Available Abstract Background Few microarrays have been quantitatively calibrated to identify optimal hybridization conditions because it is difficult to precisely determine the hybridization characteristics of a microarray using biologically variable cDNA samples. Results Using synthesized samples with known concentrations of specific oligonucleotides, a series of microarray experiments was conducted to evaluate microarrays designed by PICKY, an oligo microarray design software tool, and to test a direct microarray calibration method based on the PICKY-predicted, thermodynamically closest nontarget information. The complete set of microarray experiment results is archived in the GEO database with series accession number GSE14717. Additional data files and Perl programs described in this paper can be obtained from the website http://www.complex.iastate.edu under the PICKY Download area. Conclusion PICKY-designed microarray probes are highly reliable over a wide range of hybridization temperatures and sample concentrations. The microarray calibration method reported here allows researchers to experimentally optimize their hybridization conditions. Because this method is straightforward, uses existing microarrays and relatively inexpensive synthesized samples, it can be used by any lab that uses microarrays designed by PICKY. In addition, other microarrays can be reanalyzed by PICKY to obtain the thermodynamically closest nontarget information for calibration.

  20. Phenotypic MicroRNA Microarrays

    OpenAIRE

    Veronica Soloveva; Michel Liuzzi; Jin Yeop Kim; Hi Chul Kim; Jin Yeong Heo; Yong-Jun Kwon

    2013-01-01

    Microarray technology has become a very popular approach in cases where multiple experiments need to be conducted repeatedly or done with a variety of samples. In our lab, we are applying our high density spots microarray approach to microscopy visualization of the effects of transiently introduced siRNA or cDNA on cellular morphology or phenotype. In this publication, we are discussing the possibility of using this micro-scale high throughput process to study the role of microRNAs in the bio...

  1. Profiling of Measles-Specific Humoral Immunity in Individuals Following Two Doses of MMR Vaccine Using Proteome Microarrays

    OpenAIRE

    Haralambieva, Iana H.; Whitney L. Simon; Kennedy, Richard B.; Ovsyannikova, Inna G.; Warner, Nathaniel D.; Grill, Diane E.; Poland, Gregory A.

    2015-01-01

    Introduction: Comprehensive evaluation of measles-specific humoral immunity after vaccination is important for determining new and/or additional correlates of vaccine immunogenicity and efficacy. Methods: We used a novel proteome microarray technology and statistical modeling to identify factors and models associated with measles-specific functional protective immunity in 150 measles vaccine recipients representing the extremes of neutralizing antibody response after two vaccine doses. Result...

  2. MicroRNA expression in melanocytic nevi: the usefulness of formalin-fixed, paraffin-embedded material for miRNA microarray profiling

    DEFF Research Database (Denmark)

    Glud, Martin; Klausen, Mikkel; Gniadecki, Robert;

    2009-01-01

    MicroRNAs (miRNAs) are small, noncoding RNA molecules that regulate cellular differentiation, proliferation, and apoptosis. MiRNAs are expressed in a developmentally regulated and tissue-specific manner. Aberrant expression may contribute to pathological processes such as cancer, and miRNA may...... therefore serve as biomarkers that may be useful in a clinical environment for diagnosis of various diseases. Most miRNA profiling studies have used fresh tissue samples. However, in some types of cancer, including malignant melanoma, fresh material is difficult to obtain from primary tumors, and most...... surgical specimens are formalin fixed and paraffin embedded (FFPE). To explore whether FFPE material would be suitable for miRNA profiling in melanocytic lesions, we compared miRNA expression patterns in FFPE versus fresh frozen samples, obtained from 15 human melanocytic nevi. Out of microarray data, we...

  3. Alignment of gene expression profiles from test samples against a reference database: New method for context-specific interpretation of microarray data

    Directory of Open Access Journals (Sweden)

    Kilpinen Sami K

    2011-03-01

    Full Text Available Abstract Background Gene expression microarray data have been organized and made available as public databases, but the utilization of such highly heterogeneous reference datasets in the interpretation of data from individual test samples is not as developed as e.g. in the field of nucleotide sequence comparisons. We have created a rapid and powerful approach for the alignment of microarray gene expression profiles (AGEP from test samples with those contained in a large annotated public reference database and demonstrate here how this can facilitate interpretation of microarray data from individual samples. Methods AGEP is based on the calculation of kernel density distributions for the levels of expression of each gene in each reference tissue type and provides a quantitation of the similarity between the test sample and the reference tissue types as well as the identity of the typical and atypical genes in each comparison. As a reference database, we used 1654 samples from 44 normal tissues (extracted from the Genesapiens database. Results Using leave-one-out validation, AGEP correctly defined the tissue of origin for 1521 (93.6% of all the 1654 samples in the original database. Independent validation of 195 external normal tissue samples resulted in 87% accuracy for the exact tissue type and 97% accuracy with related tissue types. AGEP analysis of 10 Duchenne muscular dystrophy (DMD samples provided quantitative description of the key pathogenetic events, such as the extent of inflammation, in individual samples and pinpointed tissue-specific genes whose expression changed (SAMD4A in DMD. AGEP analysis of microarray data from adipocytic differentiation of mesenchymal stem cells and from normal myeloid cell types and leukemias provided quantitative characterization of the transcriptomic changes during normal and abnormal cell differentiation. Conclusions The AGEP method is a widely applicable method for the rapid comprehensive interpretation

  4. Development and validation of a 2,000-gene microarray for the fathead minnow (Pimephales promelas)

    Energy Technology Data Exchange (ETDEWEB)

    Larkin, Patrick; Villeneuve, Daniel L.; Knoebl, Iris; Miracle, Ann L.; Carter, Barbara J.; Liu, Li; Denslow, Nancy D.; Ankley, Gerald T.

    2007-07-01

    Gene microarrays provide the field of ecotoxicology new tools to identify mechanisms of action of chemicals and chemical mixtures. Herein we describe the development and application of a 2,000-gene oligonucleotide microarray for the fathead minnow Pimephales promelas, a species commonly used in ecological risk assessments in North America. The microarrays were developed from various cDNA and subtraction libraries that we constructed. Consistency and reproducibility of the microarrays were documented by examining multiple technical replicates. To test application of the fathead minnow microarrays, gene expression profiles of fish exposed to 17-estradiol, a well-characterized estrogen receptor (ER) agonist, were examined. For these experiments, adult male fathead minnows were exposed for 24 h to waterborne 17-estradiol (40 or 100 ng/L) in a flow-through system, and gene expression in liver samples was characterized. Seventy-one genes were identified as differentially regulated by estradiol exposure. Examination of the gene ontology designations of these genes revealed patterns consistent with estradiol’s expected mechanisms of action and also provided novel insights as to molecular effects of the estrogen. Our studies indicate the feasibility and utility of microarrays as a basis for understanding biological responses to chemical exposure in a model ecotoxicology test species.

  5. Microarray analysis of gene expression profiles of Schistosoma japonicum derived from less-susceptible host water buffalo and susceptible host goat.

    Directory of Open Access Journals (Sweden)

    Jianmei Yang

    Full Text Available BACKGROUND: Water buffalo and goats are natural hosts for S. japonicum in endemic areas of China. The susceptibility of these two hosts to schistosome infection is different, as water buffalo are less conducive to S. japonicum growth and development. To identify genes that may affect schistosome development and survival, we compared gene expression profiles of schistosomes derived from these two natural hosts using high-throughput microarray technology. RESULTS: The worm recovery rate was lower and the length and width of worms from water buffalo were smaller compared to those from goats following S. japonicum infection for 7 weeks. Besides obvious morphological difference between the schistosomes derived from the two hosts, differences were also observed by scanning and transmission electron microscopy. Microarray analysis showed differentially expressed gene patterns for parasites from the two hosts, which revealed that genes related to lipid and nucleotide metabolism, as well as protein folding, sorting, and degradation were upregulated, while others associated with signal transduction, endocrine function, development, immune function, endocytosis, and amino acid/carbohydrate/glycan metabolism were downregulated in schistosomes from water buffalo. KEGG pathway analysis deduced that the differentially expressed genes mainly involved lipid metabolism, the MAPK and ErbB signaling pathways, progesterone-mediated oocyte maturation, dorso-ventral axis formation, reproduction, and endocytosis, etc. CONCLUSION: The microarray gene analysis in schistosomes derived from water buffalo and goats provide a useful platform to disclose differences determining S. japonicum host compatibility to better understand the interplay between natural hosts and parasites, and identify schistosome target genes associated with susceptibility to screen vaccine candidates.

  6. Differential adipose tissue gene expression profiles in abacavir treated patients that may contribute to the understanding of cardiovascular risk: a microarray study.

    Directory of Open Access Journals (Sweden)

    Mohsen Shahmanesh

    Full Text Available To compare changes in gene expression by microarray from subcutaneous adipose tissue from HIV treatment naïve patients treated with efavirenz based regimens containing abacavir (ABC, tenofovir (TDF or zidovidine (AZT.Subcutaneous fat biopsies were obtained before, at 6- and 18-24-months after treatment, and from HIV negative controls. Groups were age, ethnicity, weight, biochemical profile, and pre-treatment CD4 count matched. Microarray data was generated using the Agilent Whole Human Genome Microarray. Identification of differentially expressed genes and genomic response pathways was performed using limma and gene set enrichment analysis.There were significant divergences between ABC and the other two groups 6 months after treatment in genes controlling cell adhesion and environmental information processing, with some convergence at 18-24 months. Compared to controls the ABC group, but not AZT or TDF showed enrichment of genes controlling adherence junction, at 6 months and 18-24 months (adjusted p<0.05 and focal adhesions and tight junction at 6 months (p<0.5. Genes controlling leukocyte transendothelial migration (p<0.05 and ECM-receptor interactions (p = 0.04 were over-expressed in ABC compared to TDF and AZT at 6 months but not at 18-24 months. Enrichment of pathways and individual genes controlling cell adhesion and environmental information processing were specifically dysregulated in the ABC group in comparison with other treatments. There was little difference between AZT and TDF.After initiating treatment, there is divergence in the expression of genes controlling cell adhesion and environmental information processing between ABC and both TDF and AZT in subcutaneous adipose tissue. If similar changes are also taking place in other tissues including the coronary vasculature they may contribute to the increased risk of cardiovascular events reported in patients recently started on abacavir-containing regimens.

  7. DNA microarray-based experimental strategy for trustworthy expression profiling of the hippocampal genes by astaxanthin supplementation in adult mouse.

    Science.gov (United States)

    Yook, Jang Soo; Shibato, Junko; Rakwal, Randeep; Soya, Hideaki

    2016-03-01

    Naturally occurring astaxantin (ASX) is one of the noticeable carotenoid and dietary supplement, which has strong antioxidant and anti-inflammatory properties, and neuroprotective effects in the brain through crossing the blood-brain barrier. Specially, we are interested in the role of ASX as a brain food. Although ASX has been suggested to have potential benefit to the brain function, the underlying molecular mechanisms and events mediating such effect remain unknown. Here we examined molecular factors in the hippocampus of adult mouse fed ASX diets (0.1% and 0.5% doses) using DNA microarray (Agilent 4 × 44 K whole mouse genome chip) analysis. In this study, we described in detail our experimental workflow and protocol, and validated quality controls with the housekeeping gene expression (Gapdh and Beta-actin) on the dye-swap based approach to advocate our microarray data, which have been uploaded to Gene Expression Omnibus (accession number GSE62197) as a gene resource for the scientific community. This data will also form an important basis for further detailed experiments and bioinformatics analysis with an aim to unravel the potential molecular pathways or mechanisms underlying the positive effects of ASX supplementation on the brain, in particular the hippocampus. PMID:26981356

  8. DNA microarray-based experimental strategy for trustworthy expression profiling of the hippocampal genes by astaxanthin supplementation in adult mouse

    Directory of Open Access Journals (Sweden)

    Jang Soo Yook

    2016-03-01

    Full Text Available Naturally occurring astaxantin (ASX is one of the noticeable carotenoid and dietary supplement, which has strong antioxidant and anti-inflammatory properties, and neuroprotective effects in the brain through crossing the blood–brain barrier. Specially, we are interested in the role of ASX as a brain food. Although ASX has been suggested to have potential benefit to the brain function, the underlying molecular mechanisms and events mediating such effect remain unknown. Here we examined molecular factors in the hippocampus of adult mouse fed ASX diets (0.1% and 0.5% doses using DNA microarray (Agilent 4 × 44 K whole mouse genome chip analysis. In this study, we described in detail our experimental workflow and protocol, and validated quality controls with the housekeeping gene expression (Gapdh and Beta-actin on the dye-swap based approach to advocate our microarray data, which have been uploaded to Gene Expression Omnibus (accession number GSE62197 as a gene resource for the scientific community. This data will also form an important basis for further detailed experiments and bioinformatics analysis with an aim to unravel the potential molecular pathways or mechanisms underlying the positive effects of ASX supplementation on the brain, in particular the hippocampus.

  9. cDNA array screening differentially expressed gene in liver regeneration

    Institute of Scientific and Technical Information of China (English)

    强晖; 谢渭芬; 张忠兵; 张新; 张兴荣; 陈岳祥; 杨秀疆

    2003-01-01

    Objective: To screen the differentially expressed gene in liver regeneration with cDNA array and gain insight of the pathogenesis of the acute hepatic failure. Methods: Acute liver failure model in Sprague-Dawley (SD) rat was induced by 95% hepatectomy. The differential expression profiles in regenerating rat liver were studied by a cDNA array representing 1176 cDNA clusters. Some genes were randomly selected from a pool of differentially expressed genes and subjected to RT-PCR to further confirm the result from microarray hybridization. Results: The alterations of transcription levels were noted in the expressions of 188 genes. There were 138 genes with their expression up-regulated such as growth factors, PCNA, ribosomal proteins, IL6 and CDKs which were associated with cell cycle regulation, stress, metabolism and proliferation. Conclusion: cDNA array is a powerful tool to explore the gene expression of acute liver failure and is potential for the diagnosis and treatment of liver regeneration.

  10. Ethanol extract of Hedyotis diffusa willd upregulates G0/G1 phase arrest and induces apoptosis in human leukemia cells by modulating caspase cascade signaling and altering associated genes expression was assayed by cDNA microarray.

    Science.gov (United States)

    Kuo, Yu-Jui; Yang, Jai-Sing; Lu, Chi-Cheng; Chiang, Su-Yin; Lin, Jaung-Geng; Chung, Jing-Gung

    2015-09-01

    The authors' previous study has shown that water extract of Hedyotis diffusa Willd (HDW) promoted immune response and exhibited anti-leukemic activity in BALB/c leukemic mice in vivo. In this study, the anti-proliferation effects of ethanol extract of H. diffusa Willd (EEHDW) on lung cancer cell lines (A549, H1355, and LLC), leukemia cell lines (HL-60, WEHI-3), and a mouse melanoma cell line (B16F10) in vitro were investigated. The results demonstrated that EEHDW suppressed the cell proliferation of A549, H1355, HL-60, WEHI-3, and B16F10 cells as well as reduced cell viability in a concentration-dependent manner. We found that EEHDW inhibited the cell proliferation of HL-60 cells in concentration-dependent manner. In addition, EEHDW triggered an arrest of HL-60 cells at G0/G1 phase and sub-G1 population (apoptotic cells). EEHDW provoked DNA condensation and DNA damage in HL-60 cells. The activities of caspase-3, caspase-8, and caspase-9 were elevated in EEHDW-treated HL-60 cells. DNA microarray to investigate and display the gene levels related to cell growth, signal transduction, apoptosis, cell adhesion, cell cycle, DNA damage and repair, transcription and translation was also used. These findings suggest that EEHDW may be a potential herbal medicine and therapeutic agent for the treatment of leukemia. PMID:24677778

  11. Microarray Expression Profile of Circular RNAs in Heart Tissue of Mice with Myocardial Infarction-Induced Heart Failure

    Directory of Open Access Journals (Sweden)

    Hong-Jin Wu

    2016-06-01

    Full Text Available Background/Aims: Myocardial infarction (MI is a serious complication of atherosclerosis associated with increasing mortality attributable to heart failure. This study is aimed to assess the global changes in and characteristics of the transcriptome of circular RNAs (circRNAs in heart tissue during MI induced heart failure (HF. Methods: Using a post-myocardial infarction (MI model of HF in mice, we applied microarray assay to examine the transcriptome of circRNAs deregulated in the heart during HF. We confirmed the changes in circRNAs by quantitative PCR. Results: We revealed and confirmed a number of circRNAs that were deregulated during HF, which suggests a potential role of circRNAs in HF. Conclusions: The distinct expression patterns of circulatory circRNAs during HF indicate that circRNAs may actively respond to stress and thus serve as biomarkers of HF diagnosis and treatment.

  12. High-Throughput Profiling of the Humoral Immune Responses Against Thirteen Human Papillomavirus Types by Proteome Microarrays

    Science.gov (United States)

    Luevano, Martha; Bernard, Hans-Ulrich; Barrera-Saldaña, Hugo A.; Trevino, Victor; Garcia-Carranca, Alejandro; Villa, Luisa L.; Monk, Bradley J.; Tan, Xiaolin; Davies, D. Huw; Felgner, Phil L.; Kalantari, Mina

    2010-01-01

    We have developed microarrays with all eight proteins encoded by 13 different human papillomavirus types associated with anogenital cancer (HPV-16, 18, 31, 33, 35, 45, 53), genital warts (HPV-6, 11), or skin lesions (HPV-1, 2, 4, 5). We analyzed the seroprevalence of antibodies in 546 patients, which had either cervical carcinomas, or precursor lesions, or which were asymptomatic. All patient groups contained sera ranging from high reactivity against multiple HPV proteins to low or no reactivity. Computational analyses showed the E7 proteins of carcinogenic HPV types as significantly more reactive in cancer patients compared to asymptomatic individuals and discriminating between cancer and HSIL or LSIL patients. Antibodies against E4 and E5 had the highest seroprevalence, but did not exhibit differential reactivity relative to pathology. Our study introduces a new approach to future evaluation of the overall antigenicity of HPV proteins and cross-reaction between homologous proteins. PMID:20554302

  13. Microarray-Based Identification of Gonad Transcripts Differentially Expressed Between Lines of Pacific Oyster Selected to Be Resistant or Susceptible to Summer Mortality

    OpenAIRE

    Fleury, Elodie; Moal, Jeanne; Boulo, Viviane; Daniel, Jean-yves; Mazurais, David; Henaut, Alain; Corporeau, Charlotte; Boudry, Pierre; Favrel, Pascal; Huvet, Arnaud

    2010-01-01

    Summer mortality of the Pacific oyster Crassostrea gigas is the result of a complex interaction between oysters, their environment, and pathogens. Heredity appears to be a major factor determining the sensitivity of oysters to summer mortality, allowing resistant (R) and susceptible (S) lines to be produced. We conducted genome-wide expression profiling of R and S gonads during the 3-month period preceding a summer mortality event, using a cDNA microarray that we designed. ANOVA analysis reve...

  14. THE GENE EXPRESSION PROFILE OF HIGHLY METASTATIC HUMAN OVARIAN CANCER CELL LINE BY GENE CHIP

    Institute of Scientific and Technical Information of China (English)

    吕桂泉; 许沈华; 牟瀚舟; 朱赤红; 羊正炎; 高永良; 楼洪坤; 刘祥麟; 杨文; 程勇

    2001-01-01

    To study the gene expression of high metastatic human ovarian carcinoma cell line (HO-8910PM) and to screen for novel metastasis- associated genes by cDNA microarray. Methods: The cDNA was retro-transcribed from equal quantity mRNA derived from tissues of highly metastatic ovarian carcinoma cell line and normal ovarian, and was labeled with Cy5 and Cy3 fluorescence as probes. The mixed probes were hybridized with BioDoor 4096 double dot human whole gene chip. The chip was scanned by scanArray 3000 laser scanner. The acquired image was analyzed by ImaGene 3.0 software. Results: By applying the cDNA microarray we found: A total of 323 genes whose expression level were 3 times higher or lower in HO-8910PM cell than normal ovarian epithelium cell were screened out, with 71 higher and 252 lower respectively. Among these 10 were new genes. 67 genes showed expression difference bigger than 6 times between HO-8910PM cell and normal ovarian epithelium cell, among these genes 12 were higher, 55 lower, and two new genes were found. Conclusion: cDNA microarray technique is effective in screening the differentially expressed genes between human ovarian cancer cell line (HO-8910PM) and normal ovarian epithelium cell. Using the cDNA microarray to analyze of human ovarian cancer cell line gene expression profile difference will help the gene diagnosis, treatment and protection.

  15. Analysis Method of Citrus Genome Microarray%浅谈柑橘基因组芯片分析方法

    Institute of Scientific and Technical Information of China (English)

    杨雪莲; 贝学军; 朱友娟

    2012-01-01

    cDNA microarray and oligonucleotide microarray are currently used for analysing citrus gene expression profile.The data analysis of genome microarray include data preprocessing,screening differential expression genes,and further analysing the differential expression genes.Through data analysis and integration of biological information,this paper studies the plant physiological changes.%指出了cDNA芯片和寡核苷酸芯片是目前用于柑橘基因表达谱分析的方法,基因组芯片数据分析主要包括数据预处理,筛选差异基因,差异基因再进一步分析。通过数据分析及整合样点的生物学信息,研究了植物生理变化。

  16. Reproducibility of quantitative RT-PCR array in miRNA expression profiling and comparison with microarray analysis

    OpenAIRE

    McManus Linda M; Gelfond Jonathan AL; Chen Yongxin; Shireman Paula K

    2009-01-01

    Abstract Background MicroRNAs (miRNAs) have critical functions in various biological processes. MiRNA profiling is an important tool for the identification of differentially expressed miRNAs in normal cellular and disease processes. A technical challenge remains for high-throughput miRNA expression analysis as the number of miRNAs continues to increase with in silico prediction and experimental verification. Our study critically evaluated the performance of a novel miRNA expression profiling ...

  17. Profiling of Measles-Specific Humoral Immunity in Individuals Following Two Doses of MMR Vaccine Using Proteome Microarrays

    Directory of Open Access Journals (Sweden)

    Iana H. Haralambieva

    2015-03-01

    Full Text Available Introduction: Comprehensive evaluation of measles-specific humoral immunity after vaccination is important for determining new and/or additional correlates of vaccine immunogenicity and efficacy. Methods: We used a novel proteome microarray technology and statistical modeling to identify factors and models associated with measles-specific functional protective immunity in 150 measles vaccine recipients representing the extremes of neutralizing antibody response after two vaccine doses. Results: Our findings demonstrate a high seroprevalence of antibodies directed to the measles virus (MV phosphoprotein (P, nucleoprotein (N, as well as antibodies to the large polymerase (L protein (fragment 1234 to 1900 AA. Antibodies to these proteins, in addition to anti-F antibodies (and, to a lesser extent, anti-H antibodies, were correlated with neutralizing antibody titer and/or were associated with and predictive of neutralizing antibody response. Conclusion: Our results identify antibodies to specific measles virus proteins and statistical models for monitoring and assessment of measles-specific functional protective immunity in vaccinated individuals.

  18. Integrative proteomics and tissue microarray profiling indicate the association between overexpressed serum proteins and non-small cell lung cancer.

    Directory of Open Access Journals (Sweden)

    Yansheng Liu

    Full Text Available Lung cancer is the leading cause of cancer deaths worldwide. Clinically, the treatment of non-small cell lung cancer (NSCLC can be improved by the early detection and risk screening among population. To meet this need, here we describe the application of extensive peptide level fractionation coupled with label free quantitative proteomics for the discovery of potential serum biomarkers for lung cancer, and the usage of Tissue microarray analysis (TMA and Multiple reaction monitoring (MRM assays for the following up validations in the verification phase. Using these state-of-art, currently available clinical proteomic approaches, in the discovery phase we confidently identified 647 serum proteins, and 101 proteins showed a statistically significant association with NSCLC in our 18 discovery samples. This serum proteomic dataset allowed us to discern the differential patterns and abnormal biological processes in the lung cancer blood. Of these proteins, Alpha-1B-glycoprotein (A1BG and Leucine-rich alpha-2-glycoprotein (LRG1, two plasma glycoproteins with previously unknown function were selected as examples for which TMA and MRM verification were performed in a large sample set consisting about 100 patients. We revealed that A1BG and LRG1 were overexpressed in both the blood level and tumor sections, which can be referred to separate lung cancer patients from healthy cases.

  19. Changes in tumorigenesis- and angiogenesis-related gene transcript abundance profiles in ovarian cancer detected by tailored high density cDNA arrays.

    OpenAIRE

    Martoglio, A. M.; Tom, B D; Starkey, M.; Corps, A N; D.S. Charnock-Jones; Smith, S. K.

    2000-01-01

    BACKGROUND: Complementary DNA array analysis of gene expression has a potential application for clinical diagnosis of disease processes. However, accessibility, affordability, reproducibility of results, and management of the data generated remain issues of concern. Use of cDNA arrays tailored for studies of specific pathways, tissues, or disease states may render a cost- and time-effective method to define potential hallmark genotype alterations. MATERIALS AND METHODS: We produced a 332-memb...

  20. Microarray profiling and co-expression network analysis of circulating lncRNAs and mRNAs associated with major depressive disorder.

    Directory of Open Access Journals (Sweden)

    Zhifen Liu

    Full Text Available LncRNAs, which represent one of the most highly expressed classes of ncRNAs in the brain, are becoming increasingly interesting with regard to brain functions and disorders. However, changes in the expression of regulatory lncRNAs in Major Depressive Disorder (MDD have not yet been reported. Using microarrays, we profiled the expression of 34834 lncRNAs and 39224 mRNAs in peripheral blood sampled from MDD patients as well as demographically-matched controls. Among these, we found that 2007 lncRNAs and 1667 mRNAs were differentially expressed, 17 of which were documented as depression-related gene in previous studies. Gene Ontology (GO and pathway analyses indicated that the biological functions of differentially expressed mRNAs were related to fundamental metabolic processes and neurodevelopment diseases. To investigate the potential regulatory roles of the differentially expressed lncRNAs on the mRNAs, we also constructed co-expression networks composed of the lncRNAs and mRNAs, which shows significant correlated patterns of expression. In the MDD-derived network, there were a greater number of nodes and connections than that in the control-derived network. The lncRNAs located at chr10:874695-874794, chr10:75873456-75873642, and chr3:47048304-47048512 may be important factors regulating the expression of mRNAs as they have previously been reported associations with MDD. This study is the first to explore genome-wide lncRNA expression and co-expression with mRNA patterns in MDD using microarray technology. We identified circulating lncRNAs that are aberrantly expressed in MDD and the results suggest that lncRNAs may contribute to the molecular pathogenesis of MDD.

  1. Recent advances of protein microarrays

    OpenAIRE

    Hultschig, Claus; Kreutzberger, Jürgen; Seitz, Harald; Konthur, Zoltán; Büssow, Konrad; Lehrach, Hans

    2006-01-01

    Technological innovations and novel applications have greatly advanced the field of protein microarrays. Over the past two years, different types of protein microarrays have been used for serum profiling, protein abundance determinations, and identification of proteins that bind DNA or small compounds. However, considerable development is still required to ensure common quality standards and to establish large content repertoires. Here, we summarize applications available to date and discuss ...

  2. Microarray-based comparative genomic profiling of reference strains and selected Canadian field isolates of Actinobacillus pleuropneumoniae

    Directory of Open Access Journals (Sweden)

    MacInnes Janet I

    2009-02-01

    Full Text Available Abstract Background Actinobacillus pleuropneumoniae, the causative agent of porcine pleuropneumonia, is a highly contagious respiratory pathogen that causes severe losses to the swine industry worldwide. Current commercially-available vaccines are of limited value because they do not induce cross-serovar immunity and do not prevent development of the carrier state. Microarray-based comparative genomic hybridizations (M-CGH were used to estimate whole genomic diversity of representative Actinobacillus pleuropneumoniae strains. Our goal was to identify conserved genes, especially those predicted to encode outer membrane proteins and lipoproteins because of their potential for the development of more effective vaccines. Results Using hierarchical clustering, our M-CGH results showed that the majority of the genes in the genome of the serovar 5 A. pleuropneumoniae L20 strain were conserved in the reference strains of all 15 serovars and in representative field isolates. Fifty-eight conserved genes predicted to encode for outer membrane proteins or lipoproteins were identified. As well, there were several clusters of diverged or absent genes including those associated with capsule biosynthesis, toxin production as well as genes typically associated with mobile elements. Conclusion Although A. pleuropneumoniae strains are essentially clonal, M-CGH analysis of the reference strains of the fifteen serovars and representative field isolates revealed several classes of genes that were divergent or absent. Not surprisingly, these included genes associated with capsule biosynthesis as the capsule is associated with sero-specificity. Several of the conserved genes were identified as candidates for vaccine development, and we conclude that M-CGH is a valuable tool for reverse vaccinology.

  3. Chromosome Microarray.

    Science.gov (United States)

    Anderson, Sharon

    2016-01-01

    Over the last half century, knowledge about genetics, genetic testing, and its complexity has flourished. Completion of the Human Genome Project provided a foundation upon which the accuracy of genetics, genomics, and integration of bioinformatics knowledge and testing has grown exponentially. What is lagging, however, are efforts to reach and engage nurses about this rapidly changing field. The purpose of this article is to familiarize nurses with several frequently ordered genetic tests including chromosomes and fluorescence in situ hybridization followed by a comprehensive review of chromosome microarray. It shares the complexity of microarray including how testing is performed and results analyzed. A case report demonstrates how this technology is applied in clinical practice and reveals benefits and limitations of this scientific and bioinformatics genetic technology. Clinical implications for maternal-child nurses across practice levels are discussed. PMID:27276104

  4. Differential Expression of Gene Profiles in MRGX-treated Lung Cancer

    OpenAIRE

    Kwon Yong-Kyun; Lee Seung-Yeul; Kang Hwan-Soo; Sung Jung-Suk; Cho Chong-Kwan; Yoo Hwa-Seung; Shin Seungjin; Choi Jong-Soon; Lee Yeon-Weol; Jang Ik-Soon

    2013-01-01

    Objectives: Modified regular ginseng extract (MRGX) has stronger anti-cancer activity-possessing gensenoside profiles. Methods: To investigate changes in gene expression in the MRGX-treated lung cancer cells (A549), we examined genomic data with cDNA microarray results. After completing the gene-ontology-based analysis, we grouped the genes into up-and down-regulated profiles and into ontology-related regulated genes and proteins through their interaction network. Results: One hundred n...

  5. Time-course investigation of the gene expression profile during Fasciola hepatica infection: A microarray-based study

    Directory of Open Access Journals (Sweden)

    Jose Rojas-Caraballo

    2015-12-01

    Full Text Available Fasciolosis is listed as one of the most important neglected tropical diseases according with the World Health Organization and is also considered as a reemerging disease in the human beings. Despite there are several studies describing the immune response induced by Fasciola hepatica in the mammalian host, investigations aimed at identifying the expression profile of genes involved in inducing hepatic injury are currently scarce. Data presented here belong to a time-course investigation of the gene expression profile in the liver of BALB/c mice infected with F. hepatica metacercariae at 7 and 21 days after experimental infection. The data published here have been deposited in NCBI's Gene Expression Omnibus and are accessible through GEO Series accession number GSE69588, previously published by Rojas-Caraballo et al. (2015 in PLoS One [1].

  6. Time-course investigation of the gene expression profile during Fasciola hepatica infection: A microarray-based study.

    Science.gov (United States)

    Rojas-Caraballo, Jose; López-Abán, Julio; Fernández-Soto, Pedro; Vicente, Belén; Collía, Francisco; Muro, Antonio

    2015-12-01

    Fasciolosis is listed as one of the most important neglected tropical diseases according with the World Health Organization and is also considered as a reemerging disease in the human beings. Despite there are several studies describing the immune response induced by Fasciola hepatica in the mammalian host, investigations aimed at identifying the expression profile of genes involved in inducing hepatic injury are currently scarce. Data presented here belong to a time-course investigation of the gene expression profile in the liver of BALB/c mice infected with F. hepatica metacercariae at 7 and 21 days after experimental infection. The data published here have been deposited in NCBI's Gene Expression Omnibus and are accessible through GEO Series accession number GSE69588, previously published by Rojas-Caraballo et al. (2015) in PLoS One [1]. PMID:26697343

  7. A Comparative Genomic Study in Schizophrenic and in Bipolar Disorder Patients, Based on Microarray Expression Profiling Meta-Analysis

    OpenAIRE

    Marianthi Logotheti; Olga Papadodima; Nikolaos Venizelos; Aristotelis Chatziioannou; Fragiskos Kolisis

    2013-01-01

    Schizophrenia affecting almost 1% and bipolar disorder affecting almost 3%–5% of the global population constitute two severe mental disorders. The catecholaminergic and the serotonergic pathways have been proved to play an important role in the development of schizophrenia, bipolar disorder, and other related psychiatric disorders. The aim of the study was to perform and interpret the results of a comparative genomic profiling study in schizophrenic patients as well as in healthy controls and...

  8. Time-course investigation of the gene expression profile during Fasciola hepatica infection: A microarray-based study

    OpenAIRE

    Jose Rojas-Caraballo; Julio López-Abán; Pedro Fernández-Soto; Belén Vicente; Francisco Collía; Antonio Muro

    2015-01-01

    Fasciolosis is listed as one of the most important neglected tropical diseases according with the World Health Organization and is also considered as a reemerging disease in the human beings. Despite there are several studies describing the immune response induced by Fasciola hepatica in the mammalian host, investigations aimed at identifying the expression profile of genes involved in inducing hepatic injury are currently scarce. Data presented here belong to a time-course investigation of t...

  9. cDNA: 34099 [

    Lifescience Database Archive (English)

    Full Text Available H. sapiens + Hs.15282 Homo sapiens cDNA FLJ44214 fis, clone THYMU3003309, moderately similar to ... Homo sapiens sarcoma antigen (SAGE ) gnl|UG|Hs#S16886502 AK126202 23/5622_34099.png ...

  10. cDNA: 43397 [

    Lifescience Database Archive (English)

    Full Text Available M. musculus + Mm.30035 Mus musculus adult male corpora quadrigemina cDNA, RIKEN full-length enri ... FOLATE DEHYDROGENASE (EC 1.5.1.6) (10-FTHFDH) (FBP-CI ) homolog [Rattus norvegicus], full insert sequence ...

  11. cDNA: 33377 [

    Lifescience Database Archive (English)

    Full Text Available H. sapiens + Hs.181243 Homo sapiens full open reading frame cDNA clone RZPDo834H102D for gene AT ... F4, activating transcription factor 4 (tax -responsive enhancer element B67); complete cds; wi ...

  12. cDNA: 17527 [

    Lifescience Database Archive (English)

    Full Text Available H. sapiens + Hs.134229 Homo sapiens cDNA FLJ44146 fis, clone THYMU2027734, weakly similar to Hom ... o sapiens SA hypertension -associated homolog (rat) (SAH) gnl|UG|Hs#S16886570 ...

  13. cDNA: 47992 [

    Lifescience Database Archive (English)

    Full Text Available M. musculus - Mm.228067 Mus musculus 15 days embryo male testis cDNA, RIKEN full-length enriched ... lone:8030476B22 product:hypothetical Mitochondrial energy ... transfer proteins (carrier protein) containing pro ...

  14. cDNA: 40711 [

    Lifescience Database Archive (English)

    Full Text Available M. musculus + Mm.41523 Mus musculus adult male thymus cDNA, RIKEN full-length enriched library, ... lone:5830492N08 product:hypothetical Mitochondrial energy ... transfer proteins (carrier protein) containing pro ...

  15. cDNA: 47994 [

    Lifescience Database Archive (English)

    Full Text Available M. musculus - Mm.228067 Mus musculus 0 day neonate eyeball cDNA, RIKEN full-length enriched libr ... lone:E130118D21 product:hypothetical Mitochondrial energy ... transfer proteins (carrier protein) containing pro ...

  16. cDNA: 47991 [

    Lifescience Database Archive (English)

    Full Text Available M. musculus - Mm.228067 Mus musculus adult male diencephalon cDNA, RIKEN full-length enriched li ... lone:9330189G22 product:hypothetical Mitochondrial energy ... transfer proteins (carrier protein) containing pro ...

  17. cDNA: 36928 [

    Lifescience Database Archive (English)

    Full Text Available M. musculus - Mm.240850 Mus musculus adult male medulla oblongata cDNA, RIKEN full-length enrich ... MA AMPLIFIED SEQUENCE 1 (NOVEL AMPLIFIED IN BREAST CANCER ... 1) (AMPLIFIED AND OVEREXPRESSED IN BREAST CANCER ) ...

  18. cDNA: 36927 [

    Lifescience Database Archive (English)

    Full Text Available M. musculus - Mm.240850 Mus musculus adult male stomach cDNA, RIKEN full-length enriched library ... MA AMPLIFIED SEQUENCE 1 (NOVEL AMPLIFIED IN BREAST CANCER ... 1) (AMPLIFIED AND OVEREXPRESSED IN BREAST CANCER ) ...

  19. cDNA: 40220 [

    Lifescience Database Archive (English)

    Full Text Available M. musculus - Mm.207654 Mus musculus adult male olfactory brain ... cDNA, RIKEN full-length enriched ... library, clone:6430704M03 product:similar to BRAIN ... PROTEIN (FRAGMENT) [Homo sapiens], full insert seq ...

  20. cDNA: 52275 [

    Lifescience Database Archive (English)

    Full Text Available M. musculus - Mm.275648 Mus musculus 11 days embryo head cDNA, RIKEN full-length enriched librar ... y, clone:6230400I01 product:SIMILAR TO ENIGMA ... (LIM DOMAIN PROTEIN) homolog [Homo sapiens], full ...

  1. cDNA: 52278 [

    Lifescience Database Archive (English)

    Full Text Available M. musculus - Mm.275648 Mus musculus adult male tongue cDNA, RIKEN full-length enriched library, ... clone:2310073F10 product:SIMILAR TO ENIGMA ... (LIM DOMAIN PROTEIN) homolog [Homo sapiens], full ...

  2. cDNA: 52277 [

    Lifescience Database Archive (English)

    Full Text Available M. musculus - Mm.275648 Mus musculus 18-day embryo whole body cDNA, RIKEN full-length enriched l ... ibrary, clone:1110003B01 product:SIMILAR TO ENIGMA ... (LIM DOMAIN PROTEIN) homolog [Homo sapiens], full ...

  3. cDNA: 52276 [

    Lifescience Database Archive (English)

    Full Text Available M. musculus - Mm.275648 Mus musculus adult male brain cDNA, RIKEN full-length enriched library, ... clone:0710007K04 product:SIMILAR TO ENIGMA ... (LIM DOMAIN PROTEIN) homolog [Homo sapiens], full ...

  4. Phenotypic MicroRNA Microarrays

    Directory of Open Access Journals (Sweden)

    Veronica Soloveva

    2013-04-01

    Full Text Available Microarray technology has become a very popular approach in cases where multiple experiments need to be conducted repeatedly or done with a variety of samples. In our lab, we are applying our high density spots microarray approach to microscopy visualization of the effects of transiently introduced siRNA or cDNA on cellular morphology or phenotype. In this publication, we are discussing the possibility of using this micro-scale high throughput process to study the role of microRNAs in the biology of selected cellular models. After reverse-transfection of microRNAs and siRNA, the cellular phenotype generated by microRNAs regulated NF-κB expression comparably to the siRNA. The ability to print microRNA molecules for reverse transfection into cells is opening up the wide horizon for the phenotypic high content screening of microRNA libraries using cellular disease models.

  5. Identification of microRNA-mRNA interactions in atrial fibrillation using microarray expression profiles and bioinformatics analysis

    Science.gov (United States)

    WANG, TAO; WANG, BIN

    2016-01-01

    The present study integrated microRNA (miRNA) and mRNA expression data obtained from atrial fibrillation (AF) tissues and healthy tissues, in order to identify miRNAs and target genes that may be important in the development of AF. The GSE28954 miRNA expression profile and GSE2240 mRNA gene expression profile were downloaded from the Gene Expression Omnibus. Differentially expressed miRNAs and genes (DEGs) in AF tissues, compared with in control samples, were identified and hierarchically clustered. Subsequently, differentially expressed miRNAs and DEGs were searched for in the miRecords database and TarBase, and were used to construct a regulatory network using Cytoscape. Finally, functional analysis of the miRNA-targeted genes was conducted. After data processing, 71 differentially expressed miRNAs and 390 DEGs were identified between AF and normal tissues. A total of 3,506 miRNA-mRNA pairs were selected, of which 372 were simultaneously predicted by both miRecords and TarBase, and were therefore used to construct the miRNA-mRNA regulatory network. Furthermore, 10 miRNAs and 12 targeted mRNAs were detected, which formed 14 interactive pairs. The miRNA-targeted genes were significantly enriched into 14 Gene Ontology (GO) categories, of which the most significant was gene expression regulation (GO 10468), which was associated with 7 miRNAs and 8 target genes. These results suggest that the screened miRNAs and target genes may be target molecules in AF development, and may be beneficial for the early diagnosis and future treatment of AF. PMID:27082053

  6. Alteration of Gene Expression Profile in Kidney of Spontaneously Hypertensive Rats Treated with Protein Hydrolysate of Blue Mussel (Mytilus edulis) by DNA Microarray Analysis.

    Science.gov (United States)

    Feng, Junli; Dai, Zhiyuan; Zhang, Yanping; Meng, Lu; Ye, Jian; Ma, Xuting

    2015-01-01

    Marine organisms are rich sources of bioactive components, which are often reported to have antihypertensive effects. However, the underlying mechanisms have yet to be fully identified. The aim of this study was to investigate the antihypertensive effect of enzymatic hydrolysis of blue mussel protein (HBMP) in rats. Peptides with in vitro ACE inhibitory activity were purified from HBMP by ultrafiltration, gel filtration chromatography and reversed-phase high performance liquid chromatography. And the amino acid sequences of isolated peptides were estimated to be Val-Trp, Leu-Gly-Trp, and Met-Val-Trp-Thr. To study its in vivo action, spontaneously hypertensive rats (SHRs) were orally administration with high- or low-dose of HBMP for 28 days. Major components of the renin-angiotensin (RAS) system in serum of SHRs from different groups were analyzed, and gene expression profiling were performed in the kidney of SHRs, using the Whole Rat Genome Oligonucleotide Microarray. Results indicated although genes involved in RAS system were not significantly altered, those related to blood coagulation system, cytokine and growth factor, and fatty acids metabolism were remarkablely changed. Several genes which were seldom reported to be implicated in pathogenesis of hypertension also showed significant expression alterations after oral administration of HBMP. These data provided valuable information for our understanding of the molecular mechanisms that underlie the potential antihypertensive activities of HBMP, and will contribute towards increased value-added utilization of blue mussel protein. PMID:26517713

  7. Thyroid hormone-regulated gene expression in juvenile mouse liver: identification of thyroid response elements using microarray profiling and in silico analyses

    Directory of Open Access Journals (Sweden)

    Paquette Martin A

    2011-12-01

    Full Text Available Abstract Background Disruption of thyroid hormone signalling can alter growth, development and energy metabolism. Thyroid hormones exert their effects through interactions with thyroid receptors that directly bind thyroid response elements and can alter transcriptional activity of target genes. The effects of short-term thyroid hormone perturbation on hepatic mRNA transcription in juvenile mice were evaluated, with the goal of identifying genes containing active thyroid response elements. Thyroid hormone disruption was induced from postnatal day 12 to 15 by adding goitrogens to dams' drinking water (hypothyroid. A subgroup of thyroid hormone-disrupted pups received intraperitoneal injections of replacement thyroid hormones four hours prior to sacrifice (replacement. An additional group received only thyroid hormones four hours prior to sacrifice (hyperthyroid. Hepatic mRNA was extracted and hybridized to Agilent mouse microarrays. Results Transcriptional profiling enabled the identification of 28 genes that appeared to be under direct thyroid hormone-regulation. The regulatory regions of the genome adjacent to these genes were examined for half-site sequences that resemble known thyroid response elements. A bioinformatics search identified 33 thyroid response elements in the promoter regions of 13 different genes thought to be directly regulated by thyroid hormones. Thyroid response elements found in the promoter regions of Tor1a, 2310003H01Rik, Hect3d and Slc25a45 were further validated by confirming that the thyroid receptor is associated with these sequences in vivo and that it can bind directly to these sequences in vitro. Three different arrangements of thyroid response elements were identified. Some of these thyroid response elements were located far up-stream (> 7 kb of the transcription start site of the regulated gene. Conclusions Transcriptional profiling of thyroid hormone disrupted animals coupled with a novel bioinformatics search

  8. Transcription profiling of the model cyanobacterium Synechococcus sp. strain PCC 7002 by NextGen (SOLiD™ Sequencing of cDNA

    Directory of Open Access Journals (Sweden)

    Marcus eLudwig

    2011-03-01

    Full Text Available The genome of the unicellular, euryhaline cyanobacterium Synechococcus sp. PCC 7002 encodes about 3200 proteins. Transcripts were detected for nearly all annotated open reading frames by a global transcriptomic analysis by Next-Generation (SOLiDTM sequencing of cDNA. In the cDNA samples sequenced, ~90% of the mapped sequences were derived from the 16S and 23S ribosomal RNAs and ~10% of the sequences were derived from mRNAs. In cells grown photoautotrophically under standard conditions (38 °C, 1% (v/v CO2 in air, 250 µmol photons m-2 s-1, the highest transcript levels (up to 2% of the total mRNA for the most abundantly transcribed genes (e. g., cpcAB, psbA, psaA were generally derived from genes encoding structural components of the photosynthetic apparatus. High light exposure for one hour caused changes in transcript levels for genes encoding proteins of the photosynthetic apparatus, Type-1 NADH dehydrogenase complex and ATP synthase, whereas dark incubation for one hour resulted in a global decrease in transcript levels for photosynthesis-related genes and an increase in transcript levels for genes involved in carbohydrate degradation. Transcript levels for pyruvate kinase and the pyruvate dehydrogenase complex decreased sharply in cells incubated in the dark. Under dark anoxic (fermentative conditions, transcript changes indicated a global decrease in transcripts for respiratory proteins and suggested that cells employ an alternative phosphoenolpyruvate degradation pathway via phosphoenolpyruvate synthase (ppsA and the pyruvate:ferredoxin oxidoreductase (nifJ. Finally, the data suggested that an apparent operon involved in tetrapyrrole biosynthesis and fatty acid desaturation, acsF2-ho2-hemN2-desF, may be regulated by oxygen concentration.

  9. MICROARRAYS AND THEIR POTENTIAL IN MEDICINE

    Institute of Scientific and Technical Information of China (English)

    Erick Ling; Jie Xu

    2003-01-01

    Advancement in microarray technology can revolutionize many aspects of medicine. Microarrays have applications in gene expression profiling, genotyping, mutation analysis, gene identification, and pharmacology. This paper provides a brief review on the use of microarrays in studies of cancer, infectious diseases, chromosome disorders, neurological/mental disorders, and drugs, along with a prospect on its great potential in diagnosis, prognosis and the treatment of human diseases.

  10. Screening feature genes of astrocytoma using a combined method of microarray gene expression profiling and bioinformatics analysis.

    Science.gov (United States)

    Cai, Yong; Zhong, Xingming; Wang, Yiqi; Yang, Jianguo

    2015-01-01

    The aim of our study was to find feature genes associated with astrocytoma and correlative gene functions which can distinguish cancer tissue from adjacent non-tumor astrocyte tissues. Gene expression profile GSE15824 was downloaded from Gene Expression Omnibus database which included 8 astrocytoma tissues and 3 adjacent non-tumor astrocyte samples. The raw data were first transformed into probe-level data and the differentially expressed genes (DEGs) between tissues of patients with astrocytoma and normal specimen were identified using T-test in samr package of R. The Database for Annotation, Visualization and Integrated Discovery (DAVID) was applied to analyze the gene ontology (GO) enrichment on gene functions and the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways. Finally, corresponding protein-protein interaction (PPI) networks of DEGs was constructed using the Cytoscape based on the data collected from STRING online datasets. A total of 3072 genes, including 1799 up-regulated genes and 1273 down-regulated genes, were filtered as DEGs, and we learnt that the DEGs including AQP4, PMP2, SRARCL1 and SLC1A2CAMs etc and that AQP4 was most significantly related to cell osmotic pressure. Three feature genes in KEGG pathway are highly enriched in cancer specimen while two genes are in the normal tissues. The discovery of featured genes significantly related to the regulation of cell osmotic pressure, has the potential to use in clinic for diagnosis of astrocytoma in future. In addition, it has a great significance on studying mechanism, distinguishing normal and cancer tissues, and exploring new treatments for astrocytoma. However, further experiments were needed to confirm our result. PMID:26770395

  11. Gene Expression Analysis Using Agilent DNA Microarrays

    DEFF Research Database (Denmark)

    Stangegaard, Michael

    2009-01-01

    Hybridization of labeled cDNA to microarrays is an intuitively simple and a vastly underestimated process. If it is not performed, optimized, and standardized with the same attention to detail as e.g., RNA amplification, information may be overlooked or even lost. Careful balancing of the amount of...... labeled cDNA added to each slide reduces dye-bias and slide to slide variation. Efficient mixing of the hybridization solution throughout the hybridization reaction increases signals several fold. The amount of near perfect target-probe hybrids may be reduced by efficient stringency washes of the...

  12. Complementary RNA amplification methods enhance microarray identification of transcripts expressed in the C. elegans nervous system

    Directory of Open Access Journals (Sweden)

    Levy Shawn

    2008-02-01

    Full Text Available Abstract Background DNA microarrays provide a powerful method for global analysis of gene expression. The application of this technology to specific cell types and tissues, however, is typically limited by small amounts of available mRNA, thereby necessitating amplification. Here we compare microarray results obtained with two different methods of RNA amplification to profile gene expression in the C. elegans larval nervous system. Results We used the mRNA-tagging strategy to isolate transcripts specifically from C. elegans larval neurons. The WT-Ovation Pico System (WT-Pico was used to amplify 2 ng of pan-neural RNA to produce labeled cDNA for microarray analysis. These WT-Pico-derived data were compared to microarray results obtained with a labeled aRNA target generated by two rounds of In Vitro Transcription (IVT of 25 ng of pan-neural RNA. WT-Pico results in a higher fraction of present calls than IVT, a finding consistent with the proposal that DNA-DNA hybridization results in lower mismatch signals than the RNA-DNA heteroduplexes produced by IVT amplification. Microarray data sets from these samples were compared to a reference profile of all larval cells to identify transcripts with elevated expression in neurons. These results were validated by the high proportion of known neuron-expressed genes detected in these profiles and by promoter-GFP constructs for previously uncharacterized genes in these data sets. Together, the IVT and WT-Pico methods identified 2,173 unique neuron-enriched transcripts. Only about half of these transcripts (1,044, however, are detected as enriched by both IVT and WT-Pico amplification. Conclusion We show that two different methods of RNA amplification, IVT and WT-Pico, produce valid microarray profiles of gene expression in the C. elegans larval nervous system with a low rate of false positives. However, our results also show that each method of RNA amplification detects a unique subset of bona fide neural

  13. Changes of gene expression profiles in the cervical spinal cord by acupuncture in an MPTP-intoxicated mouse model: microarray analysis.

    Science.gov (United States)

    Choi, Yeong-Gon; Yeo, Sujung; Hong, Yeon-Mi; Kim, Sung-Hoon; Lim, Sabina

    2011-07-15

    It has been shown that acupuncture at acupoints GB34 and LR3 inhibits the degeneration of nigrostriatal neurons in a 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP) mouse model of Parkinson's disease. The degeneration of spinal cord was reported to be induced in the MPTP-treated pre-symptomatic mouse. In this study, the gene expression profile changes following acupuncture at the acupoints were investigated in the cervical spinal cord of an MPTP-induced parkinsonism model using a whole transcript array (Affymetrix GeneChip mouse gene 1.0 ST array). It was shown that 8 of the probes up-regulated in MPTP, as compared to the control, were down-regulated after acupuncture at the acupoints. Of these 8 probes, 6 probes (4 annotated genes in 6 probes: Ctla2a, EG383229, Ppbp and Ube2l6) were exclusively down-regulated by acupuncture at the specific acupoints except for 2 probes as these 2 probes were commonly down-regulated by acupuncture at both the acupoints and the non-acupoints. In addition, 11 of the probes down-regulated in MPTP, as compared to the control, were up-regulated by acupuncture at the acupoints. Of these 11 probes, 10 probes (5 annotated genes in 10 probes: EG665033, ENSMUSG00000055323, Obox6, Pbp2 and Tmem150) were exclusively up-regulated by acupuncture at the specific acupoints except for the Fut11 because the Fut11 was commonly up-regulated by acupuncture at both the acupoints and the non-acupoints. The expression levels of the representative genes in the microarray were validated by real-time RT-PCR. These data suggest that the expression of these exclusively regulated 16 probes (9 genes) may be, at least in part, affected by acupuncture at the acupoints in the cervical spinal cord which can be damaged by MPTP intoxication. PMID:21440609

  14. Transcriptome analysis in primary neural stem cells using a tag cDNA amplification method

    Directory of Open Access Journals (Sweden)

    Wikström Lilian

    2005-04-01

    Full Text Available Abstract Background Neural stem cells (NSCs can be isolated from the adult mammalian brain and expanded in culture, in the form of cellular aggregates called neurospheres. Neurospheres provide an in vitro model for studying NSC behaviour and give information on the factors and mechanisms that govern their proliferation and differentiation. They are also a promising source for cell replacement therapies of the central nervous system. Neurospheres are complex structures consisting of several cell types of varying degrees of differentiation. One way of characterising neurospheres is to analyse their gene expression profiles. The value of such studies is however uncertain since they are heterogeneous structures and different populations of neurospheres may vary significantly in their gene expression. Results To address this issue, we have used cDNA microarrays and a recently reported tag cDNA amplification method to analyse the gene expression profiles of neurospheres originating from separate isolations of the lateral ventricle wall of adult mice and passaged to varying degrees. Separate isolations as well as consecutive passages yield a high variability in gene expression while parallel cultures yield the lowest variability. Conclusions We demonstrate a low technical amplification variability using the employed amplification strategy and conclude that neurospheres from the same isolation and passage are sufficiently similar to be used for comparative gene expression analysis.

  15. cDNA: 53887 [

    Lifescience Database Archive (English)

    Full Text Available M. musculus + Mm.196480 Mus musculus adult male testis cDNA, RIKEN full-length enriched library, ... uct:DNA Segment, Chr 15 Massachusetts Institute of Technology ... 260, full insert sequence gnl|UG|Mm#S10837764 AK07 ...

  16. cDNA: 53885 [

    Lifescience Database Archive (English)

    Full Text Available M. musculus + Mm.196480 Mus musculus adult male testis cDNA, RIKEN full-length enriched library, ... uct:DNA Segment, Chr 15 Massachusetts Institute of Technology ... 260, full insert sequence gnl|UG|Mm#S10837547 AK07 ...

  17. cDNA: 12295 [

    Lifescience Database Archive (English)

    Full Text Available H. sapiens + Hs.267288 Homo sapiens full open reading ... frame cDNA clone RZPDo834G0212D for gene C ... 6orf55, chromosome 6 open reading ... frame 55; complete cds, incl. stopcodon gnl|UG|Hs# ...

  18. cDNA: 16610 [

    Lifescience Database Archive (English)

    Full Text Available H. sapiens + Hs.62595 Homo sapiens full open reading ... frame cDNA clone RZPDo834H088D for gene C9o ... rf9, chromosome 9 open reading ... frame 9; complete cds, incl. stopcodon gnl|UG|Hs#S ...

  19. cDNA: 3940 [

    Lifescience Database Archive (English)

    Full Text Available H. sapiens - Hs.7188 Homo sapiens cDNA PSEC0078 fis, clone NT2RP2004036, moderately similar to M ... -Sema F=a factor in neural network ... development. gnl|UG|Hs#S4806431 AK075388 2/887_394 ...

  20. cDNA: 41587 [

    Lifescience Database Archive (English)

    Full Text Available M. musculus - Mm.30133 Mus musculus 18-day embryo whole body cDNA, RIKEN full-length enriched li ... brary, clone:1110004A14 product:ethanol ... induced 6, full insert sequence gnl|UG|Mm#S9085518 ...

  1. cDNA: 39377 [

    Lifescience Database Archive (English)

    Full Text Available M. musculus + Mm.7091 Mus musculus adult pancreas islet cells cDNA, RIKEN fu ll-length enriched l ... R BETA SUBUNIT) (SSR-BETA) homolog [Homo sapiens], fu ... ... gnl|UG|Mm#S10839939 AK050505 3/6436_39377.png ...

  2. cDNA: 46817 [

    Lifescience Database Archive (English)

    Full Text Available M. musculus + Mm.30092 Mus musculus adult male cerebellum cDNA, RIKEN fu ll-length enriched libra ... 1 PRECURSOR (EC 3.4.21.-) homolog [Homo sapiens], fu ... ... gnl|UG|Mm#S10838326 AK075719 8/7837_46817.png ...

  3. cDNA: 56670 [

    Lifescience Database Archive (English)

    Full Text Available M. musculus - Mm.10747 Mus musculus adult male testis cDNA, RIKEN fu ll-length enriched library, ... PONSE FACTOR) (MRF-1) homolog [Rattus norvegicus], fu ... ... gnl|UG|Mm#S9083407 AK006184 17/9809_56670.png ...

  4. cDNA: 56898 [

    Lifescience Database Archive (English)

    Full Text Available M. musculus - Mm.10747 Mus musculus adult male testis cDNA, RIKEN fu ll-length enriched library, ... PONSE FACTOR) (MRF-1) homolog [Rattus norvegicus], fu ... ... gnl|UG|Mm#S9083407 AK006184 17/9810_56898.png ...

  5. cDNA: 56671 [

    Lifescience Database Archive (English)

    Full Text Available M. musculus - Mm.10747 Mus musculus adult male testis cDNA, RIKEN fu ll-length enriched library, ... PONSE FACTOR) (MRF-1) homolog [Rattus norvegicus], fu ... ... gnl|UG|Mm#S9083172 AK006562 17/9809_56671.png ...

  6. cDNA: 56677 [

    Lifescience Database Archive (English)

    Full Text Available M. musculus - Mm.10747 Mus musculus adult male testis cDNA, RIKEN fu ll-length enriched library, ... PONSE FACTOR) (MRF-1) homolog [Rattus norvegicus], fu ... ... gnl|UG|Mm#S9083407 AK006184 17/9809_56677.png ...

  7. cDNA: 56899 [

    Lifescience Database Archive (English)

    Full Text Available M. musculus - Mm.10747 Mus musculus adult male testis cDNA, RIKEN fu ll-length enriched library, ... PONSE FACTOR) (MRF-1) homolog [Rattus norvegicus], fu ... ... gnl|UG|Mm#S9083172 AK006562 17/9810_56899.png ...

  8. cDNA: 46327 [

    Lifescience Database Archive (English)

    Full Text Available M. musculus + Mm.292517 Mus musculus 12 days embryo spinal ganglion cDNA, RIKEN fu ll-length enri ... PHA CHAIN) (PHERS) (CML33) homolog [Homo sapiens], fu ... ... gnl|UG|Mm#S10835133 AK084031 8/7824_46327.png ...

  9. cDNA: 56891 [

    Lifescience Database Archive (English)

    Full Text Available M. musculus - Mm.10747 Mus musculus adult male testis cDNA, RIKEN fu ll-length enriched library, ... PONSE FACTOR) (MRF-1) homolog [Rattus norvegicus], fu ... ... gnl|UG|Mm#S9083407 AK006184 17/9810_56891.png ...

  10. cDNA: 56678 [

    Lifescience Database Archive (English)

    Full Text Available M. musculus - Mm.10747 Mus musculus adult male testis cDNA, RIKEN fu ll-length enriched library, ... PONSE FACTOR) (MRF-1) homolog [Rattus norvegicus], fu ... ... gnl|UG|Mm#S9083172 AK006562 17/9809_56678.png ...

  11. cDNA: 41699 [

    Lifescience Database Archive (English)

    Full Text Available M. musculus + Mm.246636 Mus musculus adult male testis cDNA, RIKEN fu ll-length enriched library, ... e/G-protein beta WD-40 repeats containing protein, fu ... ... gnl|UG|Mm#S9075317 AK016965 5/6970_41699.png ...

  12. cDNA: 56892 [

    Lifescience Database Archive (English)

    Full Text Available M. musculus - Mm.10747 Mus musculus adult male testis cDNA, RIKEN fu ll-length enriched library, ... PONSE FACTOR) (MRF-1) homolog [Rattus norvegicus], fu ... ... gnl|UG|Mm#S9083172 AK006562 17/9810_56892.png ...

  13. cDNA: 36690 [

    Lifescience Database Archive (English)

    Full Text Available M. musculus + Mm.345070 Mus musculus 16 days embryo head cDNA, RIKEN fu ll-length enriched librar ... SPLICEOSOME ASSOCIATED PROTEIN 49) [Homo sapiens], fu ... ... gnl|UG|Mm#S10835972 AK081584 2/6005_36690.png ...

  14. cDNA: 49729 [

    Lifescience Database Archive (English)

    Full Text Available M. musculus - Mm.286963 Mus musculus 10 days lactation, adult female mammary gland cDNA, RIKEN f ... d library, clone:D730027I09 product:similar to LAK-4P ... [Homo sapiens], full insert sequence gnl|UG|Mm#S10 ...

  15. cDNA: 40377 [

    Lifescience Database Archive (English)

    Full Text Available M. musculus - Mm.154312 Mus musculus 0 day neonate kidney cDNA, RIKEN full-length enriched libra ... ry, clone:D630023P19 product:HYPERTENSION ... RELATED PROTEIN 1, full insert sequence gnl|UG|Mm# ...

  16. cDNA: 45098 [

    Lifescience Database Archive (English)

    Full Text Available M. musculus + Mm.334199 Mus musculus adult male aorta and vein cDNA, RIKEN full-length enriched ... library, clone:A530074J19 product:SA rat hypertension -associated homolog, full insert sequence gnl|UG|Mm ...

  17. cDNA: 40378 [

    Lifescience Database Archive (English)

    Full Text Available M. musculus - Mm.154312 Mus musculus 7 days embryo whole body cDNA, RIKEN full-length enriched l ... ibrary, clone:C430046A10 product:HYPERTENSION ... RELATED PROTEIN 1, full insert sequence gnl|UG|Mm# ...

  18. Aptamer Microarrays

    Energy Technology Data Exchange (ETDEWEB)

    Angel-Syrett, Heather; Collett, Jim; Ellington, Andrew D.

    2009-01-02

    In vitro selection can yield specific, high-affinity aptamers. We and others have devised methods for the automated selection of aptamers, and have begun to use these reagents for the construction of arrays. Arrayed aptamers have proven to be almost as sensitive as their solution phase counterparts, and when ganged together can provide both specific and general diagnostic signals for proteins and other analytes. We describe here technical details regarding the production and processing of aptamer microarrays, including blocking, washing, drying, and scanning. We will also discuss the challenges involved in developing standardized and reproducible methods for binding and quantitating protein targets. While signals from fluorescent analytes or sandwiches are typically captured, it has proven possible for immobilized aptamers to be uniquely coupled to amplification methods not available to protein reagents, thus allowing for protein-binding signals to be greatly amplified. Into the future, many of the biosensor methods described in this book can potentially be adapted to array formats, thus further expanding the utility of and applications for aptamer arrays.

  19. Emerging Use of Gene Expression Microarrays in Plant Physiology

    OpenAIRE

    Wullschleger, Stan D.; Difazio, Stephen P.

    2003-01-01

    Microarrays have become an important technology for the global analysis of gene expression in humans, animals, plants, and microbes. Implemented in the context of a well-designed experiment, cDNA and oligonucleotide arrays can provide highthroughput, simultaneous analysis of transcript abundance for hundreds, if not thousands, of genes. However, despite widespread acceptance, the use of microarrays as a tool to better understand processes of interest to the plant physiologist is still being e...

  20. Intra-Platform Repeatability and Inter-Platform Comparability of MicroRNA Microarray Technology

    OpenAIRE

    Sato, Fumiaki; Tsuchiya, Soken; Terasawa, Kazuya; Tsujimoto, Gozoh

    2009-01-01

    Over the last decade, DNA microarray technology has provided a great contribution to the life sciences. The MicroArray Quality Control (MAQC) project demonstrated the way to analyze the expression microarray. Recently, microarray technology has been utilized to analyze a comprehensive microRNA expression profiling. Currently, several platforms of microRNA microarray chips are commercially available. Thus, we compared repeatability and comparability of five different microRNA microarray platfo...

  1. Differential gene expression profile in pig adipose tissue treated with/without clenbuterol

    OpenAIRE

    Deng Xue M; Guo Wei; Liu Qiu Y; He Qiang; Zhang Jin; Zhang Wei W; Hu Xiao X; Li Ning

    2007-01-01

    Abstract Background Clenbuterol, a beta-agonist, can dramatically reduce pig adipose accumulation at high dosages. However, it has been banned in pig production because people who eat pig products treated with clenbuterol can be poisoned by the clenbuterol residues. To understand the molecular mechanism for this fat reduction, cDNA microarray, real-time PCR, two-dimensional electrophoresis and mass spectra were used to study the differential gene expression profiles of pig adipose tissues tre...

  2. DNA microarray genotyping and virulence and antimicrobial resistance gene profiling of methicillin-resistant Staphylococcus aureus bloodstream isolates from renal patients.

    LENUS (Irish Health Repository)

    McNicholas, Sinead

    2012-02-01

    Thirty-six methicillin-resistant Staphylococcus aureus (MRSA) bloodstream isolates from renal patients were genetically characterized by DNA microarray analysis and spa typing. The isolates were highly clonal, belonging mainly to ST22-MRSA-IV. The immune evasion and enterotoxin gene clusters were found in 29\\/36 (80%) and 33\\/36 (92%) isolates, respectively.

  3. DNA microarray genotyping and virulence and antimicrobial resistance gene profiling of methicillin-resistant Staphylococcus aureus bloodstream isolates from renal patients.

    LENUS (Irish Health Repository)

    McNicholas, Sinead

    2011-12-01

    Thirty-six methicillin-resistant Staphylococcus aureus (MRSA) bloodstream isolates from renal patients were genetically characterized by DNA microarray analysis and spa typing. The isolates were highly clonal, belonging mainly to ST22-MRSA-IV. The immune evasion and enterotoxin gene clusters were found in 29\\/36 (80%) and 33\\/36 (92%) isolates, respectively.

  4. Compressive Sensing DNA Microarrays

    Directory of Open Access Journals (Sweden)

    Sheikh Mona A

    2009-01-01

    Full Text Available Compressive sensing microarrays (CSMs are DNA-based sensors that operate using group testing and compressive sensing (CS principles. In contrast to conventional DNA microarrays, in which each genetic sensor is designed to respond to a single target, in a CSM, each sensor responds to a set of targets. We study the problem of designing CSMs that simultaneously account for both the constraints from CS theory and the biochemistry of probe-target DNA hybridization. An appropriate cross-hybridization model is proposed for CSMs, and several methods are developed for probe design and CS signal recovery based on the new model. Lab experiments suggest that in order to achieve accurate hybridization profiling, consensus probe sequences are required to have sequence homology of at least 80% with all targets to be detected. Furthermore, out-of-equilibrium datasets are usually as accurate as those obtained from equilibrium conditions. Consequently, one can use CSMs in applications in which only short hybridization times are allowed.

  5. Sequencing and comparative genomics analysis in Senecio scandens Buch.-Ham. Ex D. Don, based on full-length cDNA library

    Science.gov (United States)

    Qian, Gang; Ping, Junjiao; Zhang, Zhen; Xu, Delin

    2014-01-01

    Senecio scandens Buch.-Ham. ex D. Don, an important antibacterial source of Chinese traditional medicine, has a widespread distribution in a few ecological habitats of China. We generated a full-length complementary DNA (cDNA) library from a sample of elite individuals with superior antibacterial properties, with satisfactory parameters such as library storage (4.30 × 106 CFU), efficiency of titre (1.30 × 106 CFU/mL), transformation efficiency (96.35%), full-length ratio (64.00%) and redundancy ratio (3.28%). The BLASTN search revealed the facile formation of counterparts between the experimental sample and Arabidopsis thaliana in view of high-homology cDNA sequence (90.79%) with e-values <1e – 50. Sequence similarities to known proteins indicate that the entire sequences of the full-length cDNA clones consist of the major of functional genes identified by a large set of microarray data from the present experimental material. For other Compositae species, a large set of full-length cDNA clones reported in the present article will serve as a useful resource to facilitate further research on the transferability of expressed sequence tag-derived simple sequence repeats (EST-SSR) development, comparative genomics and novel transcript profiles. PMID:26740776

  6. Impact of protein supplementation and exercise in preventing changes in gene expression profiling in woman muscles after long-term bedrest as revealed by microarray analysis.

    Science.gov (United States)

    Chopard, Angele; Lecunff, Martine; Danger, Richard; Teusan, Raluca; Jasmin, Bernard J.; Marini, Jean-Francois; Leger, Jean

    Long duration space flights have a dramatic impact on human physiology and under such a condition, skeletal muscles are known to be one of the most affected systems. A thorough understanding of the basic mechanisms leading to muscle impairment under microgravity, which causes significant loss of muscle mass as well as structural disorders, is necessary for the development of efficient space flight countermeasures. This study was conducted under the aegis of the European Space Agency (ESA), the National Aeronautics and Space Administration of the USA (NASA), the Canadian Space Agency (CSA), and the French "Centre National d'Etudes Spatiales" (CNES). It gave us the opportunity to investigate for the first time the effects of prolonged disuse (long-term bedrest, LTBR) on the transcriptome of different muscle types in healthy women (control, n=8), as well as the potential beneficial impact of protein supplementation (nutrition, n=8) and a combined resistance and aerobic exercise training program (exercise, n=8). Pre- (LTBR -8) and post- (LTBR +59) biopsies were obtained from vastus lateralis (VL) and soleus (SOL) muscles from each subject. Skeletal muscle gene expression profiles were obtained using a custom made microarray containing 6681 muscle-relevant genes. 555 differentiallyexpressed and statistically-significant genes were identified in control group following 60 days of LTBR, including 348 specific for SOL, 83 specific for VL, and 124 common for the two types of muscle (p<0.05). After LTBR, both muscle types exhibited a consistent decrease in pathways involved in fatty acid oxidation, ATP synthesis, and oxidative phosphorylation (p<0.05). However, the postural SOL muscle exhibited a higher level of changes with mRNA encoding proteins involved in protein synthesis and activation of protein degradation (mainly ubiquitinproteasome components) (p<0.05). Major changes in muscle function, such as those involved in calcium signaling and muscle structure including

  7. Microarrays, Integrated Analytical Systems

    Science.gov (United States)

    Combinatorial chemistry is used to find materials that form sensor microarrays. This book discusses the fundamentals, and then proceeds to the many applications of microarrays, from measuring gene expression (DNA microarrays) to protein-protein interactions, peptide chemistry, carbodhydrate chemistry, electrochemical detection, and microfluidics.

  8. Microarray data integration for genome-wide analysis of human tissue-selective gene expression

    OpenAIRE

    2010-01-01

    Background Microarray gene expression data are accumulating in public databases. The expression profiles contain valuable information for understanding human gene expression patterns. However, the effective use of public microarray data requires integrating the expression profiles from heterogeneous sources. Results In this study, we have compiled a compendium of microarray expression profiles of various human tissue samples. The microarray raw data generated in different research laboratorie...

  9. DNA Microarray-Based Gene Expression Profiling in Porcine Keratocytes and Corneal Endothelial Cells and Comparative Analysis Associated with Xeno-related Rejection

    OpenAIRE

    Kim, Mee Kum; Oh, Joo Youn; Ko, Jung Hwa; Lee, Hyun Ju; Jung, Jin Ho; Wee, Won Ryang; Lee, Jin Hak; Park, Chung-Gyu; Kim, Sang Joon; Ahn, Curie; Kim, Seung-Jun; Hwang, Seung Yong

    2009-01-01

    Porcine to rat corneal xenotransplantation resulted in severe inflammation and rejection of the corneal stroma, whereas an allograft showed mainly endothelial cell-associated rejection. We, therefore, investigated and compared the gene expression between porcine keratocytes and corneal endothelial cells. RNA was isolated from primary cultured porcine or human keratocytes and porcine corneal endothelial cells. Gene expression was comparatively analyzed after normalization with microarray metho...

  10. Validation of DNA methylation profiling in formalin-fixed paraffin-embedded samples using the Infinium HumanMethylation450 Microarray

    OpenAIRE

    Moran, Sebastián; Vizoso, Miguel; Martinez-Cardús, Anna; Gomez, Antonio; Matías-Guiu, Xavier; Chiavenna, Sebastián M; Fernandez, Andrés G; Esteller, Manel

    2014-01-01

    A formalin-fixed paraffin-embedded (FFPE) sample usually yields highly degraded DNA, which limits the use of techniques requiring high-quality DNA, such as Infinium Methylation microarrays. To overcome this restriction, we have applied an FFPE restoration procedure consisting of DNA repair and ligation processes in a set of paired fresh-frozen (FF) and FFPE samples. We validated the FFPE results in comparison with matched FF samples, enabling us to use FFPE samples on the Infinium HumanMethyl...

  11. Gene expression profiles in irradiated cancer cells

    International Nuclear Information System (INIS)

    Knowledge of the molecular and genetic mechanisms underlying cellular response to radiation may provide new avenues to develop innovative predictive tests of radiosensitivity of tumours and normal tissues and to improve individual therapy. Nowadays very few studies describe molecular changes induced by hadrontherapy treatments, therefore this field has to be explored and clarified. High-throughput methodologies, such as DNA microarray, allow us to analyse mRNA expression of thousands of genes simultaneously in order to discover new genes and pathways as targets of response to hadrontherapy. Our aim is to elucidate the molecular networks involved in the sensitivity/resistance of cancer cell lines subjected to hadrontherapy treatments with a genomewide approach by using cDNA microarray technology to identify gene expression profiles and candidate genes responsible of differential cellular responses

  12. Gene expression profiles derived from fine needle aspiration correlate with response to systemic chemotherapy in breast cancer

    International Nuclear Information System (INIS)

    Drug resistance in breast cancer is a major obstacle to successful chemotherapy. In this study we used cDNA microarray technology to examine gene expression profiles obtained from fine needle aspiration (FNA) of primary breast tumors before and after systemic chemotherapy. Our goal was to determine the feasibility of obtaining representative expression array profiles from limited amounts of tissue and to identify those expression profiles that correlate with treatment response. Repeat presurgical FNA samples were taken from six patients who were to undergo primary surgical treatment. Additionally, a group of 10 patients who were to receive neoadjuvant chemotherapy underwent two FNAs before chemotherapy (adriamycin 60 mg/m2 and cyclophosphamide 600 mg/m2) followed by another FNA on day 21 after the first cycle. Total RNA was amplified with T7 Eberwine's procedure and labeled cDNA was hybridized onto a 7600-feature glass cDNA microarray. We identified candidate gene expression profiles that might distinguish tumors with complete response to chemotherapy from tumors that do not respond, and found that the number of genes that change after one cycle of chemotherapy was 10 times greater in the responding group than in the non-responding group. This study supports the suitability of FNA-derived cDNA microarray expression profiling of breast cancers as a comprehensive genomic approach for studying the mechanisms of drug resistance. Our findings also demonstrate the potential of monitoring post-chemotherapy changes in expression profiles as a measure of pharmacodynamic effect and suggests that these approaches might yield useful results when validated by larger studies

  13. High-throughput screening of monoclonal antibodies against plant cell wall glycans by hierarchical clustering of their carbohydrate microarray binding profiles

    DEFF Research Database (Denmark)

    Moller, Isabel; Marcus, Susan E.; Haeger, Ash;

    2007-01-01

    Antibody-producing hybridoma cell lines were created following immunisation with a crude extract of cell wall polymers from the plant Arabidopsis thaliana. In order to rapidly screen the specificities of individual monoclonal antibodies (mAbs), their binding to microarrays containing 50 cell wall...... investigated using subsequent immunochemical and biochemical analyses and two novel mAbs are described in detail. mAb LM13 binds to an arabinanase-sensitive pectic epitope and mAb LM14, binds to an epitope occurring on arabinogalactan-proteins. Both mAbs display novel patterns of recognition of cell walls in...... plant materials....

  14. Development and experimental validation of a 20K Atlantic cod (Gadus morhua) oligonucleotide microarray based on a collection of over 150,000 ESTs.

    Science.gov (United States)

    Booman, Marije; Borza, Tudor; Feng, Charles Y; Hori, Tiago S; Higgins, Brent; Culf, Adrian; Léger, Daniel; Chute, Ian C; Belkaid, Anissa; Rise, Marlies; Gamperl, A Kurt; Hubert, Sophie; Kimball, Jennifer; Ouellette, Rodney J; Johnson, Stewart C; Bowman, Sharen; Rise, Matthew L

    2011-08-01

    The collapse of Atlantic cod (Gadus morhua) wild populations strongly impacted the Atlantic cod fishery and led to the development of cod aquaculture. In order to improve aquaculture and broodstock quality, we need to gain knowledge of genes and pathways involved in Atlantic cod responses to pathogens and other stressors. The Atlantic Cod Genomics and Broodstock Development Project has generated over 150,000 expressed sequence tags from 42 cDNA libraries representing various tissues, developmental stages, and stimuli. We used this resource to develop an Atlantic cod oligonucleotide microarray containing 20,000 unique probes. Selection of sequences from the full range of cDNA libraries enables application of the microarray for a broad spectrum of Atlantic cod functional genomics studies. We included sequences that were highly abundant in suppression subtractive hybridization (SSH) libraries, which were enriched for transcripts responsive to pathogens or other stressors. These sequences represent genes that potentially play an important role in stress and/or immune responses, making the microarray particularly useful for studies of Atlantic cod gene expression responses to immune stimuli and other stressors. To demonstrate its value, we used the microarray to analyze the Atlantic cod spleen response to stimulation with formalin-killed, atypical Aeromonas salmonicida, resulting in a gene expression profile that indicates a strong innate immune response. These results were further validated by quantitative PCR analysis and comparison to results from previous analysis of an SSH library. This study shows that the Atlantic cod 20K oligonucleotide microarray is a valuable new tool for Atlantic cod functional genomics research. PMID:21127932

  15. Correlations between RNA and protein expression profiles in 23 human cell lines

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    Pontén Fredrik

    2009-08-01

    Full Text Available Abstract Background The Central Dogma of biology holds, in famously simplified terms, that DNA makes RNA makes proteins, but there is considerable uncertainty regarding the general, genome-wide correlation between levels of RNA and corresponding proteins. Therefore, to assess degrees of this correlation we compared the RNA profiles (determined using both cDNA- and oligo-based microarrays and protein profiles (determined immunohistochemically in tissue microarrays of 1066 gene products in 23 human cell lines. Results A high mean correlation coefficient (0.52 was obtained from the pairwise comparison of RNA levels determined by the two platforms. Significant correlations, with correlation coefficients exceeding 0.445, between protein and RNA levels were also obtained for a third of the specific gene products. However, the correlation coefficients between levels of RNA and protein products of specific genes varied widely, and the mean correlations between the protein and corresponding RNA levels determined using the cDNA- and oligo-based microarrays were 0.25 and 0.20, respectively. Conclusion Significant correlations were found in one third of the examined RNA species and corresponding proteins. These results suggest that RNA profiling might provide indirect support to antibodies' specificity, since whenever a evident correlation between the RNA and protein profiles exists, this can sustain that the antibodies used in the immunoassay recognized their cognate antigens.

  16. Differentiating pancreatic lesions by Microarray and QPCR analysis of pancreatic juice RNAs

    NARCIS (Netherlands)

    C.D. Rogers; N. Fukushima; N. Sato; C. Shi; N. Prasad; S.R. Hustinx; H. Matsubayashi; M. Canto; J.R. Eshleman; R.H. Hruban; M. Goggins

    2006-01-01

    Background: The gene expression profile of pancreatic cancer is significantly different from that of normal pancreas. Differences in gene expression are detectable using microarrays, but microarrays have traditionally been applied to pancreatic cancer tissue obtained from surgical resection. We hypo

  17. Microarray analysis in pulmonary hypertension.

    Science.gov (United States)

    Hoffmann, Julia; Wilhelm, Jochen; Olschewski, Andrea; Kwapiszewska, Grazyna

    2016-07-01

    Microarrays are a powerful and effective tool that allows the detection of genome-wide gene expression differences between controls and disease conditions. They have been broadly applied to investigate the pathobiology of diverse forms of pulmonary hypertension, namely group 1, including patients with idiopathic pulmonary arterial hypertension, and group 3, including pulmonary hypertension associated with chronic lung diseases such as chronic obstructive pulmonary disease and idiopathic pulmonary fibrosis. To date, numerous human microarray studies have been conducted to analyse global (lung homogenate samples), compartment-specific (laser capture microdissection), cell type-specific (isolated primary cells) and circulating cell (peripheral blood) expression profiles. Combined, they provide important information on development, progression and the end-stage disease. In the future, system biology approaches, expression of noncoding RNAs that regulate coding RNAs, and direct comparison between animal models and human disease might be of importance. PMID:27076594

  18. Optimisation algorithms for microarray biclustering.

    Science.gov (United States)

    Perrin, Dimitri; Duhamel, Christophe

    2013-01-01

    In providing simultaneous information on expression profiles for thousands of genes, microarray technologies have, in recent years, been largely used to investigate mechanisms of gene expression. Clustering and classification of such data can, indeed, highlight patterns and provide insight on biological processes. A common approach is to consider genes and samples of microarray datasets as nodes in a bipartite graphs, where edges are weighted e.g. based on the expression levels. In this paper, using a previously-evaluated weighting scheme, we focus on search algorithms and evaluate, in the context of biclustering, several variations of Genetic Algorithms. We also introduce a new heuristic "Propagate", which consists in recursively evaluating neighbour solutions with one more or one less active conditions. The results obtained on three well-known datasets show that, for a given weighting scheme, optimal or near-optimal solutions can be identified. PMID:24109756

  19. Automation of cDNA Synthesis and Labelling Improves Reproducibility

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    Daniel Klevebring

    2009-01-01

    Full Text Available Background. Several technologies, such as in-depth sequencing and microarrays, enable large-scale interrogation of genomes and transcriptomes. In this study, we asses reproducibility and throughput by moving all laboratory procedures to a robotic workstation, capable of handling superparamagnetic beads. Here, we describe a fully automated procedure for cDNA synthesis and labelling for microarrays, where the purification steps prior to and after labelling are based on precipitation of DNA on carboxylic acid-coated paramagnetic beads. Results. The fully automated procedure allows for samples arrayed on a microtiter plate to be processed in parallel without manual intervention and ensuring high reproducibility. We compare our results to a manual sample preparation procedure and, in addition, use a comprehensive reference dataset to show that the protocol described performs better than similar manual procedures. Conclusions. We demonstrate, in an automated gene expression microarray experiment, a reduced variance between replicates, resulting in an increase in the statistical power to detect differentially expressed genes, thus allowing smaller differences between samples to be identified. This protocol can with minor modifications be used to create cDNA libraries for other applications such as in-depth analysis using next-generation sequencing technologies.

  20. DNA Microarray Technique

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    Thakare SP

    2012-11-01

    Full Text Available DNA Microarray is the emerging technique in Biotechnology. The many varieties of DNA microarray or DNA chip devices and systems are described along with their methods for fabrication and their use. It also includes screening and diagnostic applications. The DNA microarray hybridization applications include the important areas of gene expression analysis and genotyping for point mutations, single nucleotide polymorphisms (SNPs, and short tandem repeats (STRs. In addition to the many molecular biological and genomic research uses, this review covers applications of microarray devices and systems for pharmacogenomic research and drug discovery, infectious and genetic disease and cancer diagnostics, and forensic and genetic identification purposes.

  1. A newly-developed community microarray resource for transcriptome profiling in Brassica species enables the confirmation of Brassica-specific expressed sequences

    Directory of Open Access Journals (Sweden)

    Hurban Patrick

    2009-05-01

    Full Text Available Abstract Background The Brassica species include an important group of crops and provide opportunities for studying the evolutionary consequences of polyploidy. They are related to Arabidopsis thaliana, for which the first complete plant genome sequence was obtained and their genomes show extensive, although imperfect, conserved synteny with that of A. thaliana. A large number of EST sequences, derived from a range of different Brassica species, are available in the public database, but no public microarray resource has so far been developed for these species. Results We assembled unigenes using ~800,000 EST sequences, mainly from three species: B. napus, B. rapa and B. oleracea. The assembly was conducted with the aim of co-assembling ESTs of orthologous genes (including homoeologous pairs of genes in B. napus from each of the A and C genomes, but resolving assemblies of paralogous, or paleo-homoeologous, genes (i.e. the genes related by the ancestral genome triplication observed in diploid Brassica species. 90,864 unique sequence assemblies were developed. These were incorporated into the BAC sequence annotation for the Brassica rapa Genome Sequencing Project, enabling the identification of cognate genomic sequences for a proportion of them. A 60-mer oligo microarray comprising 94,558 probes was developed using the unigene sequences. Gene expression was analysed in reciprocal resynthesised B. napus lines and the B. oleracea and B. rapa lines used to produce them. The analysis showed that significant expression could consistently be detected in leaf tissue for 35,386 unigenes. Expression was detected across all four genotypes for 27,355 unigenes, genome-specific expression patterns were observed for 7,851 unigenes and 180 unigenes displayed other classes of expression pattern. Principal component analysis (PCA clearly resolved the individual microarray datasets for B. rapa, B. oleracea and resynthesised B. napus. Quantitative differences in

  2. Microarray analysis of DNA damage repair gene expression profiles in cervical cancer cells radioresistant to 252Cf neutron and X-rays

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    Yang Zhen-Zhou

    2010-02-01

    Full Text Available Abstract Background The aim of the study was to obtain stable radioresistant sub-lines from the human cervical cancer cell line HeLa by prolonged exposure to 252Cf neutron and X-rays. Radioresistance mechanisms were investigated in the resulting cells using microarray analysis of DNA damage repair genes. Methods HeLa cells were treated with fractionated 252Cf neutron and X-rays, with a cumulative dose of 75 Gy each, over 8 months, yielding the sub-lines HeLaNR and HeLaXR. Radioresistant characteristics were detected by clone formation assay, ultrastructural observations, cell doubling time, cell cycle distribution, and apoptosis assay. Gene expression patterns of the radioresistant sub-lines were studied through microarray analysis and verified by Western blotting and real-time PCR. Results The radioresistant sub-lines HeLaNR and HeLaXR were more radioresisitant to 252Cf neutron and X-rays than parental HeLa cells by detecting their radioresistant characteristics, respectively. Compared to HeLa cells, the expression of 24 genes was significantly altered by at least 2-fold in HeLaNR cells. Of these, 19 genes were up-regulated and 5 down-regulated. In HeLaXR cells, 41 genes were significantly altered by at least 2-fold; 38 genes were up-regulated and 3 down-regulated. Conclusions Chronic exposure of cells to ionizing radiation induces adaptive responses that enhance tolerance of ionizing radiation and allow investigations of cellular radioresistance mechanisms. The insights gained into the molecular mechanisms activated by these "radioresistance" genes will lead to new therapeutic targets for cervical cancer.

  3. Gene expression profile changes in NB4 cells induced by realgar

    Institute of Scientific and Technical Information of China (English)

    王怀宇; 刘陕西; 吕晓虹; 赵晓艾; 陈思宇; 李信民

    2003-01-01

    Objectives To compare the gene expression profiles of acute promyelocytic leukemia cell line NB4 before and after 12 hours of realgar treatment using cDNA microarray.Methods Two cDNA probes were prepared through reverse transcription from mRNA of both untreated and realgar treated NB4 cells. The probes were labeled with Cy3 and Cy5 fluorescence dyes individually, hybridized with cDNA microarray representing 1003 different human genes, and scanned for fluorescent intensity. The genes were screened through the analysis of the difference in two gene expression profiles. Results The analysis of gene expression profiles indicates that 9 genes were up-regulated and 37 genes were down-regulated. Among the 9 up-regulated genes, 2 genes were involved in a proteasome degradation pathway. Some genes related to protein synthesis, signal transduction and cell receptors were down-regulated. Conclusion PSMC2 and PSMD1 genes may play an important role in the apoptosis and partial differentiation of NB4 cells.

  4. Construction and characterization of a normalized whole-life-cycle cDNA library of rice

    Institute of Scientific and Technical Information of China (English)

    2003-01-01

    A cDNA library with genomic complete coverage is a powerful tool for functional genomic studies. For studying the functions of rice genes on a large scale, a normalized whole-life-cycle cDNA library is constructed based on the strategy of saturation hybridization with genomic DNA using rice cultivar Minghui 63, an elite restorer line for a number of rice hybrids that are widely cultivated in China. This library consists of cDNA from 15 directionally cloned cDNA libraries constructed with different tissues from 9 developmental stages. For normalization, the denatured plasmids purified from the 15 directionally cloned libraries are mixed and hybridized with saturated genomic DNA labeled with magnetic beads in two complementary systems. Well-matched plasmids are captured from the hybridized genomic DNA and electroporated into competent DH10B E. coli for construction of the normalized whole-life-cycle cDNA library. This library consists of 62000 clones with an average insert length about 1.4 kb. Inverse Northern blotting shows that this cDNA library included many rarely expressed genes and tissue-specific genes. Sequencing of 10750 cDNA clones of this library reveals 6399 unique ESTs (expressed sequence tags), indicating that the non-redundancy of the library is about 59.5%. This library has been used to make cDNA microarrays for functional genomic studies.

  5. Identification of gene profiles of CD4~+ and CD8~+ T lymphocyte in systemic lupus erythematosus by generation of longer cDNA fragments from serial analysis of gene expression tags for gene identification

    Institute of Scientific and Technical Information of China (English)

    王惠琳

    2006-01-01

    Objective To identify LongSAGE Tags in systemic lupus erythematosus (SLE) by generation of longer cDNA fragments from serial analysis of gene expression (SAGE) tags for gene identification (GLGI). Methods CD4+ and CD8+ T lymphocytes were collected from the PBMCs of 25 patients with SLE and 10 healthy controls. Then the total RNA was extracted and reversely

  6. Empirical Bayes accomodation of batch-effects in microarray data using identical replicate reference samples: application to RNA expression profiling of blood from Duchenne muscular dystrophy patients

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    McCulloch Charles E

    2008-10-01

    Full Text Available Abstract Background Non-biological experimental error routinely occurs in microarray data collected in different batches. It is often impossible to compare groups of samples from independent experiments because batch effects confound true gene expression differences. Existing methods can correct for batch effects only when samples from all biological groups are represented in every batch. Results In this report we describe a generalized empirical Bayes approach to correct for cross-experimental batch effects, allowing direct comparisons of gene expression between biological groups from independent experiments. The proposed experimental design uses identical reference samples in each batch in every experiment. These reference samples are from the same tissue as the experimental samples. This design with tissue matched reference samples allows a gene-by-gene correction to be performed using fewer arrays than currently available methods. We examine the effects of non-biological variation within a single experiment and between experiments. Conclusion Batch correction has a significant impact on which genes are identified as differentially regulated. Using this method, gene expression in the blood of patients with Duchenne Muscular Dystrophy is shown to differ for hundreds of genes when compared to controls. The numbers of specific genes differ depending upon whether between experiment and/or between batch corrections are performed.

  7. Profiling of hepatic gene expression of mice fed with edible japanese mushrooms by DNA microarray analysis: comparison among Pleurotus ostreatus, Grifola frondosa, and Hypsizigus marmoreus.

    Science.gov (United States)

    Sato, Mayumi; Tokuji, Yoshihiko; Yoneyama, Shozo; Fujii-Akiyama, Kyoko; Kinoshita, Mikio; Ohnishi, Masao

    2011-10-12

    To compare and estimate the effects of dietary intake of three kinds of mushrooms (Pleurotus ostreatus, Grifola frondosa, and Hypsizigus marmoreus), mice were fed a diet containing 10-14% of each mushroom for 4 weeks. Triacylglycerol in the liver and plasma decreased and plasma cholesterol increased in the P. ostreatus-fed group compared with those in the control group. Cholesterol in the liver was lower in the G. frondosa-fed group than in the control group, but no changes were found in the H. marmoreus-fed group. DNA microarray analysis of the liver revealed differences of gene expression patterns among mushrooms. Ctp1a and Fabp families were upregulated in the P. ostreatus-fed group, which were considered to promote lipid transport and β-oxidation. In the G. frondosa-fed group, not only the gene involved in signal transduction of innate immunity via TLR3 and interferon but also virus resistance genes, such as Mx1, Rsad2, and Oas1, were upregulated. PMID:21910414

  8. Genome wide microarray based expression profiles associated with BmNPV resistance and susceptibility in Indian silkworm races of Bombyx mori.

    Science.gov (United States)

    Lekha, Govindaraj; Gupta, Tania; Awasthi, Arvind K; Murthy, Geetha N; Trivedy, Kanika; Ponnuvel, Kangayam M

    2015-12-01

    The molecular mechanism involved in BmNPV resistance was investigated using a genome wide microarray in midgut tissue of Indian silkworm Bombyx mori. In resistant race (Sarupat), 735 genes up-regulated and 589 genes down-regulated at 12 h post BmNPV infection. Similarly, in case of susceptible race (CSR-2), 2183 genes up-regulated and 2115 genes down-regulated. Among these, nine up-regulated and eight down-regulated genes were validated using real-time qPCR analysis. In Sarupat, vacuolar protein sorting associated, Xfin-like protein and carboxypeptidase E-like protein genes significantly up-regulated in infected midgut; prominently down-regulated genes were glutamate receptor ionotropic kainite 2-like, BTB/POZ domain and transferrin. Considerably up-regulated genes in the CSR-2 were peptidoglycan recognition protein S6 precursor and rapamycin while the conspicuous down-regulated genes were facilitated trehalose transporter and zinc transporter ZIP1-like gene. The up-regulation of genes in resistant race after BmNPV infection indicates their possible role in antiviral immune response. PMID:26376410

  9. Study of antimutagenic and antioxidant activities of gallic acid and 1,2,3,4,6-pentagalloylglucose from Pistacia lentiscus. Confirmation by microarray expression profiling.

    Science.gov (United States)

    Abdelwahed, Afef; Bouhlel, Ines; Skandrani, Ines; Valenti, Kita; Kadri, Malika; Guiraud, Pascal; Steiman, Régine; Mariotte, Anne-Marie; Ghedira, Kamel; Laporte, François; Dijoux-Franca, Marie-Geneviève; Chekir-Ghedira, Leila

    2007-01-01

    In vitro antioxidant and antimutagenic activities of two polyphenols isolated from the fruits of Pistacia lentiscus was assessed. Antioxidant activity was determined by the ability of each compound to scavenge the free radical 1,1-diphenyl-2-picrylhydrazyl (DPPH*), to inhibit xanthine oxidase and to inhibit the lipid peroxidation induced by H(2)O(2) in K562 cell line. Antimutagenic activity was assayed with SOS chromotest using Escherichia coli PQ37 as tester strain and Comet assay using K562 cell line. 1,2,3,4,6-Pentagalloylglucose was found to be more effective to scavenge DPPH* radical and protect against lipid peroxidation. Moreover, these two compounds induced an inhibitory activity against nifuroxazide and aflatoxin B1 mutagenicity. The protective effect exhibited by these molecules was also determined by analysis of gene expression as response to an oxidative stress. For this purpose, we used a cDNA-microarray containing 82 genes related to cell defense, essentially represented by antioxidant and DNA repair proteins. We found that 1,2,3,4,6-pentagalloylglucose induced a decrease in the expression of 11 transcripts related to antioxidant enzymes family (GPX1, TXN, AOE372, SHC1 and SEPW1) and DNA repair (POLD1, APEX, POLD2, MPG, PARP and XRCC5). The use of Gallic acid, induced expression of TXN, TXNRD1, AOE372, GSS (antioxidant enzymes) and LIG4, POLD2, MPG, GADD45A, PCNA, RPA2, DDIT3, HMOX2, XPA, TDG, ERCC1 and GTF2H1 (DNA repair) as well as the repression of GPX1, SEPW1, POLD1 and SHC1 gene expression. PMID:17129579

  10. Microarray gene expression profiles of fasting induced changes in liver and adipose tissues of pigs expressing the melanocortin-4 receptor D298N variant

    Science.gov (United States)

    Transcriptional profiling was used to identify porcine genes and pathways that respond to a fasting in pigs that express the missense mutation (D298N) in the melanocortin-4 receptor (MC4R) gene, which has been associated with increased growth and feed efficiency. Prepubertal gilts (n=24; 12 wildtype...

  11. A genome-wide 20 K citrus microarray for gene expression analysis

    Directory of Open Access Journals (Sweden)

    Gadea Jose

    2008-07-01

    Full Text Available Abstract Background Understanding of genetic elements that contribute to key aspects of citrus biology will impact future improvements in this economically important crop. Global gene expression analysis demands microarray platforms with a high genome coverage. In the last years, genome-wide EST collections have been generated in citrus, opening the possibility to create new tools for functional genomics in this crop plant. Results We have designed and constructed a publicly available genome-wide cDNA microarray that include 21,081 putative unigenes of citrus. As a functional companion to the microarray, a web-browsable database 1 was created and populated with information about the unigenes represented in the microarray, including cDNA libraries, isolated clones, raw and processed nucleotide and protein sequences, and results of all the structural and functional annotation of the unigenes, like general description, BLAST hits, putative Arabidopsis orthologs, microsatellites, putative SNPs, GO classification and PFAM domains. We have performed a Gene Ontology comparison with the full set of Arabidopsis proteins to estimate the genome coverage of the microarray. We have also performed microarray hybridizations to check its usability. Conclusion This new cDNA microarray replaces the first 7K microarray generated two years ago and allows gene expression analysis at a more global scale. We have followed a rational design to minimize cross-hybridization while maintaining its utility for different citrus species. Furthermore, we also provide access to a website with full structural and functional annotation of the unigenes represented in the microarray, along with the ability to use this site to directly perform gene expression analysis using standard tools at different publicly available servers. Furthermore, we show how this microarray offers a good representation of the citrus genome and present the usefulness of this genomic tool for global

  12. Normalization Benefits Microarray-Based Classification

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    Chen Yidong

    2006-01-01

    Full Text Available When using cDNA microarrays, normalization to correct labeling bias is a common preliminary step before further data analysis is applied, its objective being to reduce the variation between arrays. To date, assessment of the effectiveness of normalization has mainly been confined to the ability to detect differentially expressed genes. Since a major use of microarrays is the expression-based phenotype classification, it is important to evaluate microarray normalization procedures relative to classification. Using a model-based approach, we model the systemic-error process to generate synthetic gene-expression values with known ground truth. These synthetic expression values are subjected to typical normalization methods and passed through a set of classification rules, the objective being to carry out a systematic study of the effect of normalization on classification. Three normalization methods are considered: offset, linear regression, and Lowess regression. Seven classification rules are considered: 3-nearest neighbor, linear support vector machine, linear discriminant analysis, regular histogram, Gaussian kernel, perceptron, and multiple perceptron with majority voting. The results of the first three are presented in the paper, with the full results being given on a complementary website. The conclusion from the different experiment models considered in the study is that normalization can have a significant benefit for classification under difficult experimental conditions, with linear and Lowess regression slightly outperforming the offset method.

  13. Normalization Benefits Microarray-Based Classification

    Directory of Open Access Journals (Sweden)

    Edward R. Dougherty

    2006-08-01

    Full Text Available When using cDNA microarrays, normalization to correct labeling bias is a common preliminary step before further data analysis is applied, its objective being to reduce the variation between arrays. To date, assessment of the effectiveness of normalization has mainly been confined to the ability to detect differentially expressed genes. Since a major use of microarrays is the expression-based phenotype classification, it is important to evaluate microarray normalization procedures relative to classification. Using a model-based approach, we model the systemic-error process to generate synthetic gene-expression values with known ground truth. These synthetic expression values are subjected to typical normalization methods and passed through a set of classification rules, the objective being to carry out a systematic study of the effect of normalization on classification. Three normalization methods are considered: offset, linear regression, and Lowess regression. Seven classification rules are considered: 3-nearest neighbor, linear support vector machine, linear discriminant analysis, regular histogram, Gaussian kernel, perceptron, and multiple perceptron with majority voting. The results of the first three are presented in the paper, with the full results being given on a complementary website. The conclusion from the different experiment models considered in the study is that normalization can have a significant benefit for classification under difficult experimental conditions, with linear and Lowess regression slightly outperforming the offset method.

  14. DNA Microarray Technologies: A Novel Approach to Geonomic Research

    Energy Technology Data Exchange (ETDEWEB)

    Hinman, R.; Thrall, B.; Wong, K,

    2002-01-01

    A cDNA microarray allows biologists to examine the expression of thousands of genes simultaneously. Researchers may analyze the complete transcriptional program of an organism in response to specific physiological or developmental conditions. By design, a cDNA microarray is an experiment with many variables and few controls. One question that inevitably arises when working with a cDNA microarray is data reproducibility. How easy is it to confirm mRNA expression patterns? In this paper, a case study involving the treatment of a murine macrophage RAW 264.7 cell line with tumor necrosis factor alpha (TNF) was used to obtain a rough estimate of data reproducibility. Two trials were examined and a list of genes displaying either a > 2-fold or > 4-fold increase in gene expression was compiled. Variations in signal mean ratios between the two slides were observed. We can assume that erring in reproducibility may be compensated by greater inductive levels of similar genes. Steps taken to obtain results included serum starvation of cells before treatment, tests of mRNA for quality/consistency, and data normalization.

  15. DNA Microarray as Part of a Genomic-Assisted Breeding Approach

    DEFF Research Database (Denmark)

    Vincze, Éva; Bowra, Steve

    2010-01-01

    be major considerations when the technique is applied. We consider the use of cDNA vs. oligonucleotide microarrays, target purification, labelling, hybridisation, image acquisition, minimising random errors, experimental design, biological and technical variability, quality control, normalisation......, statistical and practical significances, fold changes, validation and possible additional regulatory mechanisms in gene expression. The subject of the fourth section is the applications of DNA microarrays to study of global gene expression during grain filling in monocot crops, especially barley. We compare...

  16. Improved intra-array and interarray normalization of peptide microarray phosphorylation for phosphorylome and kinome profiling by rational selection of relevant spots.

    Science.gov (United States)

    Scholma, Jetse; Fuhler, Gwenny M; Joore, Jos; Hulsman, Marc; Schivo, Stefano; List, Alan F; Reinders, Marcel J T; Peppelenbosch, Maikel P; Post, Janine N

    2016-01-01

    Massive parallel analysis using array technology has become the mainstay for analysis of genomes and transcriptomes. Analogously, the predominance of phosphorylation as a regulator of cellular metabolism has fostered the development of peptide arrays of kinase consensus substrates that allow the charting of cellular phosphorylation events (often called kinome profiling). However, whereas the bioinformatical framework for expression array analysis is well-developed, no advanced analysis tools are yet available for kinome profiling. Especially intra-array and interarray normalization of peptide array phosphorylation remain problematic, due to the absence of "housekeeping" kinases and the obvious fallacy of the assumption that different experimental conditions should exhibit equal amounts of kinase activity. Here we describe the development of analysis tools that reliably quantify phosphorylation of peptide arrays and that allow normalization of the signals obtained. We provide a method for intraslide gradient correction and spot quality control. We describe a novel interarray normalization procedure, named repetitive signal enhancement, RSE, which provides a mathematical approach to limit the false negative results occuring with the use of other normalization procedures. Using in silico and biological experiments we show that employing such protocols yields superior insight into cellular physiology as compared to classical analysis tools for kinome profiling. PMID:27225531

  17. Various Versions of K-means Clustering Algorithm for Segmentation of Microarray Image

    OpenAIRE

    D.Rama Krishna; J Harikiran; Dr.P.V.Lakshmi; Dr.K.V.Ramesh

    2013-01-01

    A Deoxyribonucleic Acid (DNA) microarray is a collection of microscopic DNA spots attached to a solid surface, such as glass, plastic or silicon chip forming an array. The analysis of DNA microarray images allows the identification of gene expressions to draw biological conclusions for applications ranging from genetic profiling to diagnosis of cancer. The DNA microarray image analysis includes three tasks: gridding, segmentation and intensity extraction. The segmentation step of microarray i...

  18. Screening of differentially expressed genes related to differentiation and proliferation by gene expression profiling of different grade astrocytoma cell lines

    Institute of Scientific and Technical Information of China (English)

    Yi Zeng; Zhong Yang; Yangyun Han; Chao You

    2008-01-01

    BACKGROUND: The detection of differential gene expression in brain is possible by cDNA microarray technology, and the screening of differentially expressed genes might provide a biological basis for gene-targeted therapy for tumors. OBJECTIVE: To detect the differential expression of genes among astrocytoma SHG-44 (WHO grade IV), CHG-5 (WHO grade II), and ATRA-treated SHG-44 cell lines by cDNA microarray. DESIGN: Laboratory experiments in vitro.SETTING: Department of Neurobiology, the Third Military Medical University. MATERIALS: The experiment was performed at the Department of Neurobiology in the Third Military Medical University of the Chinese PLA from January to October 2007. The SHG-44 cell line (WHO grade Ⅳ) was established by Prof. Ziwei Du, and the CHG-5 cell line (WHO grade II) was set up by Prof. Xiuwu Bian from the Third Military Medical University of the Chinese PLA. The cDNA microarray containing 9182 known genes was prepared and provided by Dr. Yang Zhong at the City University of Hong Kong. MAIN OUTCOME MEASURES: The identification of genes that were similarly regulated (overlapping) during tumor progression and differentiation, by comparison of gene expression profiles between CHG-5 and SHG-44 cells, and between SHG-44 cells with or without treatment with ATRA. RESULTS: Thirty-one overlapping genes were found to have similar regulatory effects on astrocytomas; among them, twenty genes were up-regulated and eleven were down-regulated in both comparisons between CHG-5 and SHG-44 cells, and between SHG-44 cells with or without treatment with ATRA. The four reported genes, SERPINF1, MAPK11, HIF1A and SOD2, were up-regulated in this study.CONCLUSION: The differentially expressed genes in different grade astrocytoma cell lines were revealed primarily by cDNA microarray; among them, five identified overlapping genes, SERPINF1, MAPK11, DCTN2, HIF1A and SOD2, were related to the malignant progression of astrocytoma cells.

  19. Gene expression profiling of dendritic cells in different physiological stages under Cordyceps sinensis treatment.

    Directory of Open Access Journals (Sweden)

    Chia-Yang Li

    Full Text Available Cordyceps sinensis (CS has been commonly used as herbal medicine and a health supplement in China for over two thousand years. Although previous studies have demonstrated that CS has benefits in immunoregulation and anti-inflammation, the precise mechanism by which CS affects immunomodulation is still unclear. In this study, we exploited duplicate sets of loop-design microarray experiments to examine two different batches of CS and analyze the effects of CS on dendritic cells (DCs, in different physiology stages: naïve stage and inflammatory stage. Immature DCs were treated with CS, lipopolysaccharide (LPS, or LPS plus CS (LPS/CS for two days, and the gene expression profiles were examined using cDNA microarrays. The results of two loop-design microarray experiments showed good intersection rates. The expression level of common genes found in both loop-design microarray experiments was consistent, and the correlation coefficients (Rs, were higher than 0.96. Through intersection analysis of microarray results, we identified 295 intersecting significantly differentially expressed (SDE genes of the three different treatments (CS, LPS, and LPS/CS, which participated mainly in the adjustment of immune response and the regulation of cell proliferation and death. Genes regulated uniquely by CS treatment were significantly involved in the regulation of focal adhesion pathway, ECM-receptor interaction pathway, and hematopoietic cell lineage pathway. Unique LPS regulated genes were significantly involved in the regulation of Toll-like receptor signaling pathway, systemic lupus erythematosus pathway, and complement and coagulation cascades pathway. Unique LPS/CS regulated genes were significantly involved in the regulation of oxidative phosphorylation pathway. These results could provide useful information in further study of the pharmacological mechanisms of CS. This study also demonstrates that with a rigorous experimental design, the biological effects

  20. Inter-Platform comparability of microarrays in acute lymphoblastic leukemia

    Directory of Open Access Journals (Sweden)

    Mintz Michelle

    2004-09-01

    Full Text Available Abstract Background Acute lymphoblastic leukemia (ALL is the most common pediatric malignancy and has been the poster-child for improved therapeutics in cancer, with life time disease-free survival (LTDFS rates improving from 80% today. There are numerous known genetic prognostic variables in ALL, which include T cell ALL, the hyperdiploid karyotype and the translocations: t(12;21[TEL-AML1], t(4;11[MLL-AF4], t(9;22[BCR-ABL], and t(1;19[E2A-PBX]. ALL has been studied at the molecular level through expression profiling resulting in un-validated expression correlates of these prognostic indices. To date, the great wealth of expression data, which has been generated in disparate institutions, representing an extremely large cohort of samples has not been combined to validate any of these analyses. The majority of this data has been generated on the Affymetrix platform, potentially making data integration and validation on independent sample sets a possibility. Unfortunately, because the array platform has been evolving over the past several years the arrays themselves have different probe sets, making direct comparisons difficult. To test the comparability between different array platforms, we have accumulated all Affymetrix ALL array data that is available in the public domain, as well as two sets of cDNA array data. In addition, we have supplemented this data pool by profiling additional diagnostic pediatric ALL samples in our lab. Lists of genes that are differentially expressed in the six major subclasses of ALL have previously been reported in the literature as possible predictors of the subclass. Results We validated the predictability of these gene lists on all of the independent datasets accumulated from various labs and generated on various array platforms, by blindly distinguishing the prognostic genetic variables of ALL. Cross-generation array validation was used successfully with high sensitivity and high specificity of gene predictors

  1. Determination of the mechanism of action of repetitive halothane exposure on rat brain tissues using a combined method of microarray gene expression profiling and bioinformatics analysis.

    Science.gov (United States)

    Wang, Jiansheng; Yang, Xiaojun; Xiao, Huan; Kong, Jianqiang; Bing, Miao

    2015-12-01

    The present study aimed to investigate the gene expression profiles of rats brain tissues treated with halothane compared with untreated controls to improve current understanding of the mechanism of action of the inhaled anesthetic. The GSE357 gene expression profile was dowloaded from the Gene Expression Omnibus database, and included six gene chips of samples repeatedly exposed to halothane and 12 gene chips of untreated controls. The differentially expressed genes (DEGs) between these two groups were identified using the Limma package in R language. Subsequently, the Database for Annotation, Visualization and Integrated Discovery was used to annotate the function of these DEGs. In addition, the most significantly upregulated gene and downregulated gene were annotated, to reveal the functional interactions with other associated genes, in FuncBase database. A total of 44 DEGs were obtained between The control and halothane exposure samples. Following Gene Ontology functional classification, these DEGs were found to be involved predominantly in the circulatory system, regulation of cell proliferation and response to endogenous stimulus and corticosteroid stimulus processes. KRT31 and HMGCS2, which were identified as the most significantly downregulated and upregulated DEGs, respectively, were associated with the lipid metabolic process and T cell activation, respectively. These results provided a basis for the development of improved inhalational anesthetics with minimal side effects and are essential for optimization of inhaled anesthetic techniques for advanced surgical procedures. PMID:26497548

  2. Gene expression profiles of lung adenocarcinoma linked to histopathological grading and survival but not to EGF-R status: a microarray study

    International Nuclear Information System (INIS)

    Several different gene expression signatures have been proposed to predict response to therapy and clinical outcome in lung adenocarcinoma. Herein, we investigate if elements of published gene sets can be reproduced in a small dataset, and how gene expression profiles based on limited sample size relate to clinical parameters including histopathological grade and EGFR protein expression. Affymetrix Human Genome U133A platform was used to obtain gene expression profiles of 28 pathologically and clinically annotated adenocarcinomas of the lung. EGFR status was determined by fluorescent in situ hybridization and immunohistochemistry. Using unsupervised clustering algorithms, the predominant gene expression signatures correlated with the histopathological grade but not with EGFR protein expression as detected by immunohistochemistry. In a supervised analysis, the signature of high grade tumors but not of EGFR overexpressing cases showed significant enrichment of gene sets reflecting MAPK activation and other potential signaling cascades downstream of EGFR. Out of four different previously published gene sets that had been linked to prognosis, three showed enrichment in the gene expression signature associated with favorable prognosis. In this dataset, histopathological tumor grades but not EGFR status were associated with dominant gene expression signatures and gene set enrichment reflecting oncogenic pathway activation, suggesting that high immunohistochemistry EGFR scores may not necessarily be linked to downstream effects that cause major changes in gene expression patterns. Published gene sets showed association with patient survival; however, the small sample size of this study limited the options for a comprehensive validation of previously reported prognostic gene expression signatures

  3. Massive Collection of Full-Length Complementary DNA Clones and Microarray Analyses:. Keys to Rice Transcriptome Analysis

    Science.gov (United States)

    Kikuchi, Shoshi

    2009-02-01

    Completion of the high-precision genome sequence analysis of rice led to the collection of about 35,000 full-length cDNA clones and the determination of their complete sequences. Mapping of these full-length cDNA sequences has given us information on (1) the number of genes expressed in the rice genome; (2) the start and end positions and exon-intron structures of rice genes; (3) alternative transcripts; (4) possible encoded proteins; (5) non-protein-coding (np) RNAs; (6) the density of gene localization on the chromosome; (7) setting the parameters of gene prediction programs; and (8) the construction of a microarray system that monitors global gene expression. Manual curation for rice gene annotation by using mapping information on full-length cDNA and EST assemblies has revealed about 32,000 expressed genes in the rice genome. Analysis of major gene families, such as those encoding membrane transport proteins (pumps, ion channels, and secondary transporters), along with the evolution from bacteria to higher animals and plants, reveals how gene numbers have increased through adaptation to circumstances. Family-based gene annotation also gives us a new way of comparing organisms. Massive amounts of data on gene expression under many kinds of physiological conditions are being accumulated in rice oligoarrays (22K and 44K) based on full-length cDNA sequences. Cluster analyses of genes that have the same promoter cis-elements, that have similar expression profiles, or that encode enzymes in the same metabolic pathways or signal transduction cascades give us clues to understanding the networks of gene expression in rice. As a tool for that purpose, we recently developed "RiCES", a tool for searching for cis-elements in the promoter regions of clustered genes.

  4. Transcriptome sequencing and microarray development for the Manila clam, Ruditapes philippinarum: genomic tools for environmental monitoring

    Directory of Open Access Journals (Sweden)

    Patarnello Tomaso

    2011-05-01

    Full Text Available Abstract Background The Manila clam, Ruditapes philippinarum, is one of the major aquaculture species in the world and a potential sentinel organism for monitoring the status of marine ecosystems. However, genomic resources for R. philippinarum are still extremely limited. Global analysis of gene expression profiles is increasingly used to evaluate the biological effects of various environmental stressors on aquatic animals under either artificial conditions or in the wild. Here, we report on the development of a transcriptomic platform for global gene expression profiling in the Manila clam. Results A normalized cDNA library representing a mixture of adult tissues was sequenced using a ultra high-throughput sequencing technology (Roche 454. A database consisting of 32,606 unique transcripts was constructed, 9,747 (30% of which could be annotated by similarity. An oligo-DNA microarray platform was designed and applied to profile gene expression of digestive gland and gills. Functional annotation of differentially expressed genes between different tissues was performed by enrichment analysis. Expression of Natural Antisense Transcripts (NAT analysis was also performed and bi-directional transcription appears a common phenomenon in the R. philippinarum transcriptome. A preliminary study on clam samples collected in a highly polluted area of the Venice Lagoon demonstrated the applicability of genomic tools to environmental monitoring. Conclusions The transcriptomic platform developed for the Manila clam confirmed the high level of reproducibility of current microarray technology. Next-generation sequencing provided a good representation of the clam transcriptome. Despite the known limitations in transcript annotation and sequence coverage for non model species, sufficient information was obtained to identify a large set of genes potentially involved in cellular response to environmental stress.

  5. Domain-oriented functional analysis based on expression profiling

    Directory of Open Access Journals (Sweden)

    Greene Jonathan

    2002-10-01

    Full Text Available Abstract Background Co-regulation of genes may imply involvement in similar biological processes or related function. Many clusters of co-regulated genes have been identified using microarray experiments. In this study, we examined co-regulated gene families using large-scale cDNA microarray experiments on the human transcriptome. Results We present a simple model, which, for each probe pair, distills expression changes into binary digits and summarizes the expression of multiple members of a gene family as the Family Regulation Ratio. The set of Family Regulation Ratios for each protein family across multiple experiments is called a Family Regulation Profile. We analyzed these Family Regulation Profiles using Pearson Correlation Coefficients and derived a network diagram portraying relationships between the Family Regulation Profiles of gene families that are well represented on the microarrays. Our strategy was cross-validated with two randomly chosen data subsets and was proven to be a reliable approach. Conclusion This work will help us to understand and identify the functional relationships between gene families and the regulatory pathways in which each family is involved. Concepts presented here may be useful for objective clustering of protein functions and deriving a comprehensive protein interaction map. Functional genomic approaches such as this may also be applicable to the elucidation of complex genetic regulatory networks.

  6. Gene expression profiles of lung adenocarcinoma linked to histopathological grading and survival but not to EGF-R status: a microarray study

    Directory of Open Access Journals (Sweden)

    Passlick Bernward

    2010-03-01

    Full Text Available Abstract Background Several different gene expression signatures have been proposed to predict response to therapy and clinical outcome in lung adenocarcinoma. Herein, we investigate if elements of published gene sets can be reproduced in a small dataset, and how gene expression profiles based on limited sample size relate to clinical parameters including histopathological grade and EGFR protein expression. Methods Affymetrix Human Genome U133A platform was used to obtain gene expression profiles of 28 pathologically and clinically annotated adenocarcinomas of the lung. EGFR status was determined by fluorescent in situ hybridization and immunohistochemistry. Results Using unsupervised clustering algorithms, the predominant gene expression signatures correlated with the histopathological grade but not with EGFR protein expression as detected by immunohistochemistry. In a supervised analysis, the signature of high grade tumors but not of EGFR overexpressing cases showed significant enrichment of gene sets reflecting MAPK activation and other potential signaling cascades downstream of EGFR. Out of four different previously published gene sets that had been linked to prognosis, three showed enrichment in the gene expression signature associated with favorable prognosis. Conclusions In this dataset, histopathological tumor grades but not EGFR status were associated with dominant gene expression signatures and gene set enrichment reflecting oncogenic pathway activation, suggesting that high immunohistochemistry EGFR scores may not necessarily be linked to downstream effects that cause major changes in gene expression patterns. Published gene sets showed association with patient survival; however, the small sample size of this study limited the options for a comprehensive validation of previously reported prognostic gene expression signatures.

  7. StressDB: A Locally Installable Web-Based Relational Microarray Database Designed for Small User Communities

    OpenAIRE

    Madhusmita Mitra; Nigam Shah; Lukas Mueller; Scuth Pin; Nina Fedoroff

    2002-01-01

    We have built a microarray database, StressDB, for management of microarray data from our studies on stress-modulated genes in Arabidopsis. StressDB provides small user groups with a locally installable web-based relational microarray database. It has a simple and intuitive architecture and has been designed for cDNA microarray technology users. StressDB uses Windows™ 2000 as the centralized database server with Oracle™ 8i as the relational database management system. It allows users to manag...

  8. Restriction landmark cDNA scanning (RLCS): a novel cDNA display system using two-dimensional gel electrophoresis.

    Science.gov (United States)

    Suzuki, H; Yaoi, T; Kawai, J; Hara, A; Kuwajima, G; Wantanabe, S

    1996-01-01

    We have developed a new method, designated restriction landmark cDNA scanning (RLCS), which displays many cDNA species quantitatively and simultaneously as two-dimensional gel spots. In this method cDNA species of uniform length were prepared for each mRNA species using restriction enzymes. After the restriction enzyme sites were radiolabeled as landmarks, the labeled fragments were subjected to high resolution two-dimensional gel electrophoresis. In analyses of cDNA samples from adult mouse liver and brain (cerebral cortex, cerebellum and brain stem) we detected approximately 500 and >1000 discrete gel spots respectively of various intensities at a time. The spot patterns of the three brain regions were very similar, although not identical, but were quite different from the pattern for the liver. RNA blot hybridization analysis using several cloned spot DNAs as probes showed that differences in intensity of the spots among RLCS profiles correlated well with expression levels of the corresponding mRNA species in the brain regions. Because the spots and their intensities reflect distinct mRNA species and their expression level respectively, the RLCS is a novel cDNA display system which provides a great deal of information and should be useful for systematic documentation of differentially expressed genes. PMID:8628652

  9. 出生后不同鼠龄大鼠视皮质差异基因表达谱分析%Expression profiles analysis of differential genes in rat visual cortex depending upon postnatal days by microarray

    Institute of Scientific and Technical Information of China (English)

    杨柳; 瞿远珍; 李岱; 吴开力

    2014-01-01

    Background Visual adaptive mechanism of mammalian is close responsible for the development of visual cortex.The various genes with different biological functions in different developing stages of visual cortex participate in regulation of visual development.To investigate the differential expression profiles of various genes in different ages of rat cortex can offer basis and evidence for the study of visual development.Objective Present study aimed to investigate the genes that changed continuously in the postnatal developmental process of rat visual cortex by microarray analysis of visual cortex RNA.Methods Sixty clean SD rats were grouped numbered and randomized into the postnatal day 0 group (P0,n =20),before eye opening group (postnatal day 10,P10,n =15),before the critical period of visual cortex growth group (postnatal day 20,P20,n =15) and the end of development of visual cortex group(postnatal day 45,P45,n=15).The rats were sacrificed at corresponding time point respectively,and the fresh visual cortex were obtained for the extraction of total RNA and microarray analysis.Genes exhibiting changes in expression by≥2.0 folds were further confirmed using real-time PCR(RT-PCR).In order to evaluate the association of differential gene expression with growth,the postnatal stages were paired as 36 groups with the 3 pairs for each target gene (P45/P0,P20/P0,P10/P0).Results Microarray analysis showed that the gene with differential ratio ≥ 2.0 folds in rat visual cortex included Akap7,Asam,Casp3,Cxcr4,Egr1,Ennp2,Fabp7,Gpr88,Inpp5d,Rpsa,Stk32c and Vamp1.Real-time PCR verified that 24 genes form 26 probe sets had the same-phase regulating tendency,including 20 up-regulating probe sets and 6 down-regulating probe sets.The homodromous expressing tendency was seen in Akap7,Asam,Casp3,Cxcr4,Egr1,Ennp2,Fabp7,Inpp5d,Rpsa and Vamp1 genes between microarray analysis and RT-PCR.However,reverse expressions were found in the P45/P0 of Gpr88 and Stk32c genes,showing the up

  10. Noise Removal From Microarray Images Using Maximum a Posteriori Based Bivariate Estimator

    Directory of Open Access Journals (Sweden)

    A.Sharmila Agnal

    2013-01-01

    Full Text Available Microarray Image contains information about thousands of genes in an organism and these images are affected by several types of noises. They affect the circular edges of spots and thus degrade the image quality. Hence noise removal is the first step of cDNA microarray image analysis for obtaining gene expression level and identifying the infected cells. The Dual Tree Complex Wavelet Transform (DT-CWT is preferred for denoising microarray images due to its properties like improved directional selectivity and near shift-invariance. In this paper, bivariate estimators namely Linear Minimum Mean Squared Error (LMMSE and Maximum A Posteriori (MAP derived by applying DT-CWT are used for denoising microarray images. Experimental results show that MAP based denoising method outperforms existing denoising techniques for microarray images.

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

    Science.gov (United States)

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

  12. Gene expression analysis of strawberry achene and receptacle maturation using DNA microarrays

    NARCIS (Netherlands)

    Aharoni, A.; O'Connell, A.P.

    2002-01-01

    Large-scale, single pass sequencing and parallel gene expression analysis using DNA microarrays were employed for the comprehensive investigation of ripening in strawberry fruit. A total of 1701 cDNA clones (comprising 1100 strawberry ESTs and 601 unsequenced cDNAs) obtained from a strawberry (Fraga

  13. Protein microarrays for systems biology

    Institute of Scientific and Technical Information of China (English)

    Lina Yang; Shujuan Guo; Yang Li; Shumin Zhou; Shengce Tao

    2011-01-01

    Systems biology holds the key for understanding biological systems on a system level. It eventually holds the key for the treatment and cure of complex diseases such as cancer,diabetes, obesity, mental disorders, and many others. The '-omics' technologies, such as genomics, transcriptomics,proteomics, and metabonomics, are among the major driving forces of systems biology. Featured as highthroughput, miniaturized, and capable of parallel analysis,protein microarrays have already become an important technology platform for systems biology, In this review, we will focus on the system level or global analysis of biological systems using protein microarrays. Four major types of protein microarrays will be discussed: proteome microarrays, antibody microarrays, reverse-phase protein arrays,and lectin microarrays. We will also discuss the challenges and future directions of protein microarray technologies and their applications for systems biology. We strongly believe that protein microarrays will soon become an indispensable and invaluable tool for systems biology.

  14. Microarray technology and its applications

    CERN Document Server

    Müller, UR

    2006-01-01

    It presents detailed overviews of the different techniques of fabricating microarrays, of the chemistries and preparative steps involved, of the different types of microarrays, and of the instrumentation and optical issues involved.

  15. Combining Affymetrix microarray results

    Directory of Open Access Journals (Sweden)

    Doerge RW

    2005-03-01

    Full Text Available Abstract Background As the use of microarray technology becomes more prevalent it is not unusual to find several laboratories employing the same microarray technology to identify genes related to the same condition in the same species. Although the experimental specifics are similar, typically a different list of statistically significant genes result from each data analysis. Results We propose a statistically-based meta-analytic approach to microarray analysis for the purpose of systematically combining results from the different laboratories. This approach provides a more precise view of genes that are significantly related to the condition of interest while simultaneously allowing for differences between laboratories. Of particular interest is the widely used Affymetrix oligonucleotide array, the results of which are naturally suited to a meta-analysis. A simulation model based on the Affymetrix platform is developed to examine the adaptive nature of the meta-analytic approach and to illustrate the usefulness of such an approach in combining microarray results across laboratories. The approach is then applied to real data involving a mouse model for multiple sclerosis. Conclusion The quantitative estimates from the meta-analysis model tend to be closer to the "true" degree of differential expression than any single lab. Meta-analytic methods can systematically combine Affymetrix results from different laboratories to gain a clearer understanding of genes' relationships to specific conditions of interest.

  16. Evaluation of toxicity of the mycotoxin citrinin using yeast ORF DNA microarray and Oligo DNA microarray

    Directory of Open Access Journals (Sweden)

    Nobumasa Hitoshi

    2007-04-01

    Full Text Available Abstract Background Mycotoxins are fungal secondary metabolites commonly present in feed and food, and are widely regarded as hazardous contaminants. Citrinin, one of the very well known mycotoxins that was first isolated from Penicillium citrinum, is produced by more than 10 kinds of fungi, and is possibly spread all over the world. However, the information on the action mechanism of the toxin is limited. Thus, we investigated the citrinin-induced genomic response for evaluating its toxicity. Results Citrinin inhibited growth of yeast cells at a concentration higher than 100 ppm. We monitored the citrinin-induced mRNA expression profiles in yeast using the ORF DNA microarray and Oligo DNA microarray, and the expression profiles were compared with those of the other stress-inducing agents. Results obtained from both microarray experiments clustered together, but were different from those of the mycotoxin patulin. The oxidative stress response genes – AADs, FLR1, OYE3, GRE2, and MET17 – were significantly induced. In the functional category, expression of genes involved in "metabolism", "cell rescue, defense and virulence", and "energy" were significantly activated. In the category of "metabolism", genes involved in the glutathione synthesis pathway were activated, and in the category of "cell rescue, defense and virulence", the ABC transporter genes were induced. To alleviate the induced stress, these cells might pump out the citrinin after modification with glutathione. While, the citrinin treatment did not induce the genes involved in the DNA repair. Conclusion Results from both microarray studies suggest that citrinin treatment induced oxidative stress in yeast cells. The genotoxicity was less severe than the patulin, suggesting that citrinin is less toxic than patulin. The reproducibility of the expression profiles was much better with the Oligo DNA microarray. However, the Oligo DNA microarray did not completely overcome cross

  17. Hyperspectral microarray scanning: impact on the accuracy and reliability of gene expression data

    Directory of Open Access Journals (Sweden)

    Martinez M Juanita

    2005-05-01

    Full Text Available Abstract Background Commercial microarray scanners and software cannot distinguish between spectrally overlapping emission sources, and hence cannot accurately identify or correct for emissions not originating from the labeled cDNA. We employed our hyperspectral microarray scanner coupled with multivariate data analysis algorithms that independently identify and quantitate emissions from all sources to investigate three artifacts that reduce the accuracy and reliability of microarray data: skew toward the green channel, dye separation, and variable background emissions. Results Here we demonstrate that several common microarray artifacts resulted from the presence of emission sources other than the labeled cDNA that can dramatically alter the accuracy and reliability of the array data. The microarrays utilized in this study were representative of a wide cross-section of the microarrays currently employed in genomic research. These findings reinforce the need for careful attention to detail to recognize and subsequently eliminate or quantify the presence of extraneous emissions in microarray images. Conclusion Hyperspectral scanning together with multivariate analysis offers a unique and detailed understanding of the sources of microarray emissions after hybridization. This opportunity to simultaneously identify and quantitate contaminant and background emissions in microarrays markedly improves the reliability and accuracy of the data and permits a level of quality control of microarray emissions previously unachievable. Using these tools, we can not only quantify the extent and contribution of extraneous emission sources to the signal, but also determine the consequences of failing to account for them and gain the insight necessary to adjust preparation protocols to prevent such problems from occurring.

  18. Sensitivity and fidelity of DNA microarray improved with integration of Amplified Differential Gene Expression (ADGE

    Directory of Open Access Journals (Sweden)

    Ile Kristina E

    2003-07-01

    Full Text Available Abstract Background The ADGE technique is a method designed to magnify the ratios of gene expression before detection. It improves the detection sensitivity to small change of gene expression and requires small amount of starting material. However, the throughput of ADGE is low. We integrated ADGE with DNA microarray (ADGE microarray and compared it with regular microarray. Results When ADGE was integrated with DNA microarray, a quantitative relationship of a power function between detected and input ratios was found. Because of ratio magnification, ADGE microarray was better able to detect small changes in gene expression in a drug resistant model cell line system. The PCR amplification of templates and efficient labeling reduced the requirement of starting material to as little as 125 ng of total RNA for one slide hybridization and enhanced the signal intensity. Integration of ratio magnification, template amplification and efficient labeling in ADGE microarray reduced artifacts in microarray data and improved detection fidelity. The results of ADGE microarray were less variable and more reproducible than those of regular microarray. A gene expression profile generated with ADGE microarray characterized the drug resistant phenotype, particularly with reference to glutathione, proliferation and kinase pathways. Conclusion ADGE microarray magnified the ratios of differential gene expression in a power function, improved the detection sensitivity and fidelity and reduced the requirement for starting material while maintaining high throughput. ADGE microarray generated a more informative expression pattern than regular microarray.

  19. Tissue Microarrays for Analysis of Expression Patterns

    OpenAIRE

    Lindskog Bergström, Cecilia

    2013-01-01

    Proteins are essential building blocks in every living cell, and since the complete human genome was sequenced in 2004, researchers have attempted to map the human proteome, which is the functional representation of the genome. One such initiative is the Human Protein Atlas programme (HPA), which generates monospecific antibodies towards all human proteins and uses these for high-throughput tissue profiling on tissue microarrays (TMAs). The results are publically available at the website www....

  20. Isolation, cDNA sequence analysis and tissue expression profile of a novel swine gene differentially expressed in the Longissimus dorsi muscle tissues from Large White × Meishan cross combination

    Institute of Scientific and Technical Information of China (English)

    LIU Yonggang; LEI Minggang; XIONG Yuanzhu; DENG Changyan

    2005-01-01

    In order to study the molecular mechanism of heterosis in pigs, the mRNA differential display technique was performed to investigate the differences in gene expression in the Longissimus dorsi muscle tissues from Large White × Meishan cross combination.One novel gene differentially expressed between the hybrids and the purebreds was isolated and subsequently identified using semi-quantitative reverse transcriptase polymerase chain reaction (RT-PCR) and its complete cDNA sequence was obtained using the rapid amplification of cDNA ends (RACE) method. The nucleotide sequence of the gene is not homologous to any of the known porcine genes. The sequence prediction revealed that the open reading frame of this gene encodes a protein of 188 amino acids that contains the putative conserved domain of the PRA1 family protein and this protein has high homology with the PRA1 family protein 3 of three species-rat (88 % ), human(88 % ), and mouse (87 % ), -so that it can be defined as swine PRA1 family protein 3. The phylogenetic tree analysis revealed that the swine PRA1 family protein 3 has a closer genetic relationship with the human PRA1 family protein 3 than with those of mouse and rat.The tissue expression analysis indicated that swine PRA1family protein 3 gene is highly-expressed in muscle and fat, moderately in spleen,weakly in heart, kidney, ovary, lung, and almost not expressed in small intestine and liver. The function of this gene and the relationship between this gene and heterosis are also discussed.

  1. Generation and analysis of large-scale expressed sequence tags (ESTs from a full-length enriched cDNA library of porcine backfat tissue

    Directory of Open Access Journals (Sweden)

    Lee Hae-Young

    2006-02-01

    Full Text Available Abstract Background Genome research in farm animals will expand our basic knowledge of the genetic control of complex traits, and the results will be applied in the livestock industry to improve meat quality and productivity, as well as to reduce the incidence of disease. A combination of quantitative trait locus mapping and microarray analysis is a useful approach to reduce the overall effort needed to identify genes associated with quantitative traits of interest. Results We constructed a full-length enriched cDNA library from porcine backfat tissue. The estimated average size of the cDNA inserts was 1.7 kb, and the cDNA fullness ratio was 70%. In total, we deposited 16,110 high-quality sequences in the dbEST division of GenBank (accession numbers: DT319652-DT335761. For all the expressed sequence tags (ESTs, approximately 10.9 Mb of porcine sequence were generated with an average length of 674 bp per EST (range: 200–952 bp. Clustering and assembly of these ESTs resulted in a total of 5,008 unique sequences with 1,776 contigs (35.46% and 3,232 singleton (65.54% ESTs. From a total of 5,008 unique sequences, 3,154 (62.98% were similar to other sequences, and 1,854 (37.02% were identified as having no hit or low identity (Sus scrofa. Gene ontology (GO annotation of unique sequences showed that approximately 31.7, 32.3, and 30.8% were assigned molecular function, biological process, and cellular component GO terms, respectively. A total of 1,854 putative novel transcripts resulted after comparison and filtering with the TIGR SsGI; these included a large percentage of singletons (80.64% and a small proportion of contigs (13.36%. Conclusion The sequence data generated in this study will provide valuable information for studying expression profiles using EST-based microarrays and assist in the condensation of current pig TCs into clusters representing longer stretches of cDNA sequences. The isolation of genes expressed in backfat tissue is the

  2. Development of gene microarray in screening differently expressed genes in keloid and normal-control skin

    Institute of Scientific and Technical Information of China (English)

    陈伟; 付小兵; 葛世丽; 孙晓庆; 周岗; 赵志力; 盛志勇

    2004-01-01

    Background Keloid is an intricate lesion that is probably regulated by many genes. In this study, the authors used the technique of complementary DNA (cDNA) microarray to analyse abnormal gene expression in keloids and normal control skins. Methods The polymerase chain reaction (PCR) products of 8400 genes were spotted in an array on chemical-material-coated-glass plates. The DNAs were fixed on the glass plates. The total RNAs were isolated from freshly excised human keloid and normal control skins, and the mRNAs were then purified. The mRNA from both keloid and normal control skins were reversely transcribed to cDNAs, with the incorporation of fluorescent dUTP, for preparing the hybridisation probes. The mixed probes were then hybridised to the cDNA microarray. After thorough washing, the cDNA microarray was scanned for differing fluorescent signals from two types of tissues. Gene expression of tissue growth factor-β1 (TGF-β1) and of c-myc was detected with both RT-PCR and Northern blot hybridisation to confirm the effectiveness of cDNA microarray. Results Among the 8400 human genes, 402 were detected with different expression levels between keloid and normal control skins. Two hundred and fifty genes, including TGF-β1 and c-myc, were up-regulated and 152 genes were down-regulated. Higher expressions of TGF-β1 and c-myc in keloid were also revealed using RT-PCR and Northern blot methods. Conclusion cDNA microarray analysis provides a powerful tool for investigating differential gene expression in keloid and normal control skins. Keloid is a complicated lesion with many genes involved.

  3. Gene expression profiles of human bone marrow derived mesenchymal stem cells and tendon cells

    Institute of Scientific and Technical Information of China (English)

    胡庆柳; 朴英杰; 邹飞

    2003-01-01

    Objective To study the gene expression profiles of human bone marrow derived mesenchymal stem cells and tendon cells.Methods Total RNA extracted from human bone marrow derived mesenchymal stem cells and tendon cells underwent reverse transcription, and the products were labeled with α-32P dCTP. The cDNA probes of total RNA were hybridized to cDNA microarray with 1176 genes, and then the signals were analyzed by AtlasImage analysis software Version 1.01a.Results Fifteen genes associated with cell proliferation and signal transduction were up-regulated, and one gene that takes part in cell-to-cell adhesion was down-regulated in tendon cells.Conclusion The 15 up-regulated and one down-regulated genes may be beneficial to the orientational differentiation of mesenchymal stem cells into tendon cells.

  4. Navigating public microarray databases.

    Science.gov (United States)

    Penkett, Christopher J; Bähler, Jürg

    2004-01-01

    With the ever-escalating amount of data being produced by genome-wide microarray studies, it is of increasing importance that these data are captured in public databases so that researchers can use this information to complement and enhance their own studies. Many groups have set up databases of expression data, ranging from large repositories, which are designed to comprehensively capture all published data, through to more specialized databases. The public repositories, such as ArrayExpress at the European Bioinformatics Institute contain complete datasets in raw format in addition to processed data, whilst the specialist databases tend to provide downstream analysis of normalized data from more focused studies and data sources. Here we provide a guide to the use of these public microarray resources. PMID:18629145

  5. Multisegment one-step RT-PCR fluorescent labeling of influenza A virus genome for use in diagnostic microarray applications

    International Nuclear Information System (INIS)

    Microarray technology is one of the most challenging methods of influenza A virus subtyping, which is based on the antigenic properties of viral surface glycoproteins - hemagglutinin and neuraminidase. On the example of biochip for detection of influenza A/H5N1 virus we showed the possibility of using multisegment RTPCR method for amplification of fluorescently labeled cDNA of all possible influenza A virus subtypes with a single pair of primers in influenza diagnostic microarrays.

  6. Microarray Analysis of Human Liver Cells irradiated by 80MeV/u Carbon Ions

    Science.gov (United States)

    Wang, Xiao; Tian, Xiaoling; Kong, Fuquan; Li, Qiang; Jin, Xiaodong; Dai, Zhongying; Zhang, Hong; Yang, Mingjian; Zhao, Kui

    Objective Biological effect of heavy ion beam has the important significance for cancer therapy and space exploring owing its high LET and RBE, low OER, especially forming Bragg spike at the end of the tracks of charged particles. More serious damage for cells are induced by heavy ions and difficult repair than other irradiation such as X-ray and ν-ray . To explore the molecular mechanism of biological effect caused by heavy ionizing radiation (HIR) and to construct the gene expression profile database of HIR-induced human liver cells L02 by microarray analysis. Methods In this study, L02 cells were irradiated by 80MeV/u carbon ions at 5 Gy delivered by HIRFL (Heavy Ion Research Facility in Lanzhou) at room temperature. Total RNAs of cells incubated 6 hours and 24hours after irradiation were extracted with Trizol. Unirradiated cells were used as a control. RNAs were transcripted into cDNA by reverse transcription and labelled with cy5-dCTP and cy3-dCTP respectively. A human genome oligonucleotide set consisting of 5 amino acid-modified 70-mer probes and representing 21,329 well-characterized Homo sapiens genes was selected for microarray analysis and printed on amino-silaned glass slides. Arrays were fabricated using an OmniGrid microarrayer. Only genes whose alteration tendency was consistent in both microarrays were selected as differentially expressed genes. The Affymetrix's short oligonucleotide (25-mer) HG U133A 2.0 array analyses were performed per the manufacturer's instructions. Results Of the 21,329 genes tested, 37 genes showed changes in expression level with ratio higher than 2.0 and lower than 0.5 at 6hrs after irradiation. There were 19 genes showing up-regulation in radiated L02 cells, whereas 18 genes showing down-regulation; At 24hrs after irradiation, 269 genes showed changes in expression level with ratio higher than 2.0 and lower than 0.5. There were 67 genes showing up-regulation in radiated L02 cells, whereas 202 genes showing down

  7. Gene expression profile differences in high and low metastatic human ovarian cancer cell lines by gene chip

    Institute of Scientific and Technical Information of China (English)

    许沈华; 牟瀚舟; 吕桂泉; 朱赤红; 羊正炎; 高永良; 楼洪坤; 刘祥麟; 程勇; 杨文

    2002-01-01

    Objectives To study the difference between gene expressions of high (H0-8910PM) and low (HO-8910) metastatic human ovarian carcinoma cell lines and screen novel associated genes by cDNA microarray. Methods cDNA retro-transcribed from equal quantities of mRNA derived from high and low metastatic tumor cells or normal ovarian tissues were labeled with Cy5 and Cy3 fluorescein as probes. The mixed probe was hybridized with two pieces of BioDoor 4096 double dot human whole gene chip and scanned with a ScanArray 3000 laser scanner. The acquired image was analyzed by ImaGene 3.0 software. Results A total of 355 genes with expression levels more than 3 times larger were found by comparing the HO-8910 cell with normal ovarian epithelial cells. A total of 323 genes with expression levels more than 3 times larger in HO-8910PM cells compared to normal ovarian epithelium cells were also detected. A total of 165 genes whose expression levels were more than two times those of HO-8910PM cells compared to their mother cell line (HO-8910) were detected. Twenty-one genes with expression levels >3 times were found from comparison of these two tumor cell lines.Conclusions cDNA microarray techniques are effective in screening differential gene expression between two human ovarian cancer cell lines (H0-8910PM; HO-8910) and normal ovarian epithelial cells. These genes may be related to the genesis and development of ovarian carcinoma. Analysis of the human ovarian cancer gene expression profile with cDNA microarray may help in gene diagnosis, treatment and prevention.

  8. Microarray-based identification of gonad transcripts differentially expressed between lines of Pacific oyster selected to be resistant or susceptible to summer mortality.

    Science.gov (United States)

    Fleury, Elodie; Moal, Jeanne; Boulo, Viviane; Daniel, Jean-Yves; Mazurais, David; Hénaut, Alain; Corporeau, Charlotte; Boudry, Pierre; Favrel, Pascal; Huvet, Arnaud

    2010-06-01

    Summer mortality of the Pacific oyster Crassostrea gigas is the result of a complex interaction between oysters, their environment, and pathogens. Heredity appears to be a major factor determining the sensitivity of oysters to summer mortality, allowing resistant (R) and susceptible (S) lines to be produced. We conducted genome-wide expression profiling of R and S gonads during the 3-month period preceding a summer mortality event, using a cDNA microarray that we designed. ANOVA analysis revealed that 34 genes were differentially expressed between R and S lines on four dates preceding the mortality event. Annotation of some of these genes highlights reproduction and its allocation and antioxidant defenses as the main pathways that operate differentially between R and S lines. This transcriptional analysis provides new indications to define markers for quantitative trait loci searches and functional studies and evaluate the potential role of each gene in the resistance to summer mortality. PMID:19813056

  9. A Flexible Microarray Data Simulation Model

    Directory of Open Access Journals (Sweden)

    Doulaye Dembélé

    2013-04-01

    Full Text Available Microarray technology allows monitoring of gene expression profiling at the genome level. This is useful in order to search for genes involved in a disease. The performances of the methods used to select interesting genes are most often judged after other analyzes (qPCR validation, search in databases..., which are also subject to error. A good evaluation of gene selection methods is possible with data whose characteristics are known, that is to say, synthetic data. We propose a model to simulate microarray data with similar characteristics to the data commonly produced by current platforms. The parameters used in this model are described to allow the user to generate data with varying characteristics. In order to show the flexibility of the proposed model, a commented example is given and illustrated. An R package is available for immediate use.

  10. Cross-platform analysis of cancer microarray data improves gene expression based classification of phenotypes

    Directory of Open Access Journals (Sweden)

    Eils Roland

    2005-11-01

    Full Text Available Abstract Background The extensive use of DNA microarray technology in the characterization of the cell transcriptome is leading to an ever increasing amount of microarray data from cancer studies. Although similar questions for the same type of cancer are addressed in these different studies, a comparative analysis of their results is hampered by the use of heterogeneous microarray platforms and analysis methods. Results In contrast to a meta-analysis approach where results of different studies are combined on an interpretative level, we investigate here how to directly integrate raw microarray data from different studies for the purpose of supervised classification analysis. We use median rank scores and quantile discretization to derive numerically comparable measures of gene expression from different platforms. These transformed data are then used for training of classifiers based on support vector machines. We apply this approach to six publicly available cancer microarray gene expression data sets, which consist of three pairs of studies, each examining the same type of cancer, i.e. breast cancer, prostate cancer or acute myeloid leukemia. For each pair, one study was performed by means of cDNA microarrays and the other by means of oligonucleotide microarrays. In each pair, high classification accuracies (> 85% were achieved with training and testing on data instances randomly chosen from both data sets in a cross-validation analysis. To exemplify the potential of this cross-platform classification analysis, we use two leukemia microarray data sets to show that important genes with regard to the biology of leukemia are selected in an integrated analysis, which are missed in either single-set analysis. Conclusion Cross-platform classification of multiple cancer microarray data sets yields discriminative gene expression signatures that are found and validated on a large number of microarray samples, generated by different laboratories and

  11. Microarray and Proteomic Analyses of Myeloproliferative Neoplasms with a Highlight on the mTOR Signaling Pathway.

    Directory of Open Access Journals (Sweden)

    Vladan P Čokić

    Full Text Available The gene and protein expression profiles in myeloproliferative neoplasms (MPNs may reveal gene and protein markers of a potential clinical relevance in diagnosis, treatment and prediction of response to therapy. Using cDNA microarray analysis of 25,100 unique genes, we studied the gene expression profile of CD34+ cells and granulocytes obtained from peripheral blood of subjects with essential thrombocythemia (ET, polycythemia vera (PV and primary myelofibrosis (PMF. The microarray analyses of the CD34+ cells and granulocytes were performed from 20 de novo MPN subjects: JAK2 positive ET, PV, PMF subjects, and JAK2 negative ET/PMF subjects. The granulocytes for proteomic studies were pooled in 4 groups: PV with JAK2 mutant allele burden above 80%, ET with JAK2 mutation, PMF with JAK2 mutation and ET/PMF with no JAK2 mutation. The number of differentially regulated genes was about two fold larger in CD34+ cells compared to granulocytes. Thirty-six genes (including RUNX1, TNFRSF19 were persistently highly expressed, while 42 genes (including FOXD4, PDE4A were underexpressed both in CD34+ cells and granulocytes. Using proteomic studies, significant up-regulation was observed for MAPK and PI3K/AKT signaling regulators that control myeloid cell apoptosis and proliferation: RAC2, MNDA, S100A8/9, CORO1A, and GNAI2. When the status of the mTOR signaling pathway related genes was analyzed, PI3K/AKT regulators were preferentially up-regulated in CD34+ cells of MPNs, with down-regulated major components of the protein complex EIF4F. Molecular profiling of CD34+ cells and granulocytes of MPN determined gene expression patterns beyond their recognized function in disease pathogenesis that included dominant up-regulation of PI3K/AKT signaling.

  12. Cell-Based Microarrays for In Vitro Toxicology

    Science.gov (United States)

    Wegener, Joachim

    2015-07-01

    DNA/RNA and protein microarrays have proven their outstanding bioanalytical performance throughout the past decades, given the unprecedented level of parallelization by which molecular recognition assays can be performed and analyzed. Cell microarrays (CMAs) make use of similar construction principles. They are applied to profile a given cell population with respect to the expression of specific molecular markers and also to measure functional cell responses to drugs and chemicals. This review focuses on the use of cell-based microarrays for assessing the cytotoxicity of drugs, toxins, or chemicals in general. It also summarizes CMA construction principles with respect to the cell types that are used for such microarrays, the readout parameters to assess toxicity, and the various formats that have been established and applied. The review ends with a critical comparison of CMAs and well-established microtiter plate (MTP) approaches.

  13. Towards standardization of microarray-based genotyping of Salmonella

    DEFF Research Database (Denmark)

    Löfström, Charlotta; Grønlund, Hugo Ahlm; Riber, Leise; Vigre, Håkan; Folling, Liselotte; Huehn, Stephan; Malorny, Burkhard; Rådström, Peter; Rudi, Knut; Hoorfar, Jeffrey

    2010-01-01

    Genotyping is becoming an increasingly important tool to improve risk assessments of Salmonella. DNA microarray technology is a promising diagnostic tool that can provide high resolution genomic profile of many genes simultaneously. However, standardization of DNA microarray analysis is needed...... before it can be used as a tool in source attribution models for comparable characterization of isolates across laboratories and countries. The reproducibility of data was evaluated for a simple and single-dye DNA microarray (Huehn et al., Appl Environ Microbiol, 2009, 75:1011-1020) for genotyping of...... agreement (Kappa = 0.2-0.6) between microarray results were observed when using different hybridization buffers, indicating this as the most critical factor for standardization between laboratories. In conclusion, this study indicates that it is possible to set up an international standard for a...

  14. Sensitive and robust gene expression changes in fish exposed to estrogen – a microarray approach

    Directory of Open Access Journals (Sweden)

    Nerman Olle

    2007-06-01

    Full Text Available Abstract Background Vitellogenin is a well established biomarker for estrogenic exposure in fish. However, effects on gonadal differentiation at concentrations of estrogen not sufficient to give rise to a measurable vitellogenin response suggest that more sensitive biomarkers would be useful. Induction of zona pellucida genes may be more sensitive but their specificities are not as clear. The objective of this study was to find additional sensitive and robust candidate biomarkers of estrogenic exposure. Results Hepatic mRNA expression profiles were characterized in juvenile rainbow trout exposed to a measured concentration of 0.87 and 10 ng ethinylestradiol/L using a salmonid cDNA microarray. The higher concentration was used to guide the subsequent identification of generally more subtle responses at the low concentration not sufficient to induce vitellogenin. A meta-analysis was performed with data from the present study and three similar microarray studies using different fish species and platforms. Within the generated list of presumably robust responses, several well-known estrogen-regulated genes were identified. Two genes, confirmed by quantitative RT-PCR (qPCR, fulfilled both the criteria of high sensitivity and robustness; the induction of the genes encoding zona pellucida protein 3 and a nucleoside diphosphate kinase (nm23. Conclusion The cross-species, cross-platform meta-analysis correctly identified several robust responses. This adds confidence to our approach used for identifying candidate biomarkers. Specifically, we propose that analyses of an nm23 gene together with zona pellucida genes may increase the possibilities to detect an exposure to low levels of estrogenic compounds in fish.

  15. Meta-Analysis of Microarray Results: Challenges, Opportunities, and Recommendations for Standardization

    OpenAIRE

    Cahan, Patrick; Rovegno, Felicia; Mooney, Denise; Newman, John C.; Laurent, Georges St.; McCaffrey, Timothy A.

    2007-01-01

    Microarray profiling of gene expression is a powerful tool for discovery, but the ability to manage and compare the resulting data can be problematic. Biological, experimental, and technical variations between studies of the same phenotype/phenomena create substantial differences in results. The application of conventional meta-analysis to raw microarray data is complicated by differences in the type of microarray used, gene nomenclatures, species, and analytical methods. An alternative appro...

  16. Comparative genomic mapping of the bovine Fragile Histidine Triad (FHIT tumour suppressor gene: characterization of a 2 Mb BAC contig covering the locus, complete annotation of the gene, analysis of cDNA and of physiological expression profiles

    Directory of Open Access Journals (Sweden)

    Boussaha Mekki

    2006-05-01

    Full Text Available Abstract Background The Fragile Histidine Triad gene (FHIT is an oncosuppressor implicated in many human cancers, including vesical tumors. FHIT is frequently hit by deletions caused by fragility at FRA3B, the most active of human common fragile sites, where FHIT lays. Vesical tumors affect also cattle, including animals grazing in the wild on bracken fern; compounds released by the fern are known to induce chromosome fragility and may trigger cancer with the interplay of latent Papilloma virus. Results The bovine FHIT was characterized by assembling a contig of 78 BACs. Sequence tags were designed on human exons and introns and used directly to select bovine BACs, or compared with sequence data in the bovine genome database or in the trace archive of the bovine genome sequencing project, and adapted before use. FHIT is split in ten exons like in man, with exons 5 to 9 coding for a 149 amino acids protein. VISTA global alignments between bovine genomic contigs retrieved from the bovine genome database and the human FHIT region were performed. Conservation was extremely high over a 2 Mb region spanning the whole FHIT locus, including the size of introns. Thus, the bovine FHIT covers about 1.6 Mb compared to 1.5 Mb in man. Expression was analyzed by RT-PCR and Northern blot, and was found to be ubiquitous. Four cDNA isoforms were isolated and sequenced, that originate from an alternative usage of three variants of exon 4, revealing a size very close to the major human FHIT cDNAs. Conclusion A comparative genomic approach allowed to assemble a contig of 78 BACs and to completely annotate a 1.6 Mb region spanning the bovine FHIT gene. The findings confirmed the very high level of conservation between human and bovine genomes and the importance of comparative mapping to speed the annotation process of the recently sequenced bovine genome. The detailed knowledge of the genomic FHIT region will allow to study the role of FHIT in bovine cancerogenesis

  17. The IronChip evaluation package: a package of perl modules for robust analysis of custom microarrays

    Directory of Open Access Journals (Sweden)

    Brazma Alvis

    2010-03-01

    Full Text Available Abstract Background Gene expression studies greatly contribute to our understanding of complex relationships in gene regulatory networks. However, the complexity of array design, production and manipulations are limiting factors, affecting data quality. The use of customized DNA microarrays improves overall data quality in many situations, however, only if for these specifically designed microarrays analysis tools are available. Results The IronChip Evaluation Package (ICEP is a collection of Perl utilities and an easy to use data evaluation pipeline for the analysis of microarray data with a focus on data quality of custom-designed microarrays. The package has been developed for the statistical and bioinformatical analysis of the custom cDNA microarray IronChip but can be easily adapted for other cDNA or oligonucleotide-based designed microarray platforms. ICEP uses decision tree-based algorithms to assign quality flags and performs robust analysis based on chip design properties regarding multiple repetitions, ratio cut-off, background and negative controls. Conclusions ICEP is a stand-alone Windows application to obtain optimal data quality from custom-designed microarrays and is freely available here (see "Additional Files" section and at: http://www.alice-dsl.net/evgeniy.vainshtein/ICEP/

  18. Detection of HIV cDNA Point Mutations with Rolling-Circle Amplification Arrays

    Directory of Open Access Journals (Sweden)

    Zhongwei Wu

    2010-01-01

    Full Text Available In this paper we describe an isothermal rolling-circle amplification (RCA protocol to detect gene point mutations on chips. The method is based on an allele-specific oligonucleotide circularization mediated by a special DNA ligase. The probe is circularized when perfect complementary sequences between the probe oligonucleotide and HIV cDNA gene. Mismatches around the ligation site can prevent probe circularization. The circularized probe (C-probe can be amplified by rolling circle amplification to generate multimeric singlestranded DNA (ssDNA under isothermal conditions. There are four sequence regions to bind respectively with fluorescent probe, RCA primer, solid probe and HIV cDNA template in the C-probe which we designed. These ssDNA products are hybridized with fluorescent probes and solid probes which are immobilized on a glass slide composing a regular microarray pattern. The fluorescence signals can be monitored by a scanner in the presence of HIV cDNA templates, whereas the probes cannot be circularized and signal of fluorescence cannot be found. The RCA array has capability of high-throughput detection of the point mutation and the single-nucleotide polymorphism (SNP.The development of C-probe-based technologies offers a promising prospect for situ detection, microarray, molecular diagnosis, single nucleotide polymorphism, and whole genome amplification.

  19. DNA Microarray-Based Diagnostics.

    Science.gov (United States)

    Marzancola, Mahsa Gharibi; Sedighi, Abootaleb; Li, Paul C H

    2016-01-01

    The DNA microarray technology is currently a useful biomedical tool which has been developed for a variety of diagnostic applications. However, the development pathway has not been smooth and the technology has faced some challenges. The reliability of the microarray data and also the clinical utility of the results in the early days were criticized. These criticisms added to the severe competition from other techniques, such as next-generation sequencing (NGS), impacting the growth of microarray-based tests in the molecular diagnostic market.Thanks to the advances in the underlying technologies as well as the tremendous effort offered by the research community and commercial vendors, these challenges have mostly been addressed. Nowadays, the microarray platform has achieved sufficient standardization and method validation as well as efficient probe printing, liquid handling and signal visualization. Integration of various steps of the microarray assay into a harmonized and miniaturized handheld lab-on-a-chip (LOC) device has been a goal for the microarray community. In this respect, notable progress has been achieved in coupling the DNA microarray with the liquid manipulation microsystem as well as the supporting subsystem that will generate the stand-alone LOC device.In this chapter, we discuss the major challenges that microarray technology has faced in its almost two decades of development and also describe the solutions to overcome the challenges. In addition, we review the advancements of the technology, especially the progress toward developing the LOC devices for DNA diagnostic applications. PMID:26614075

  20. Hazard characterization and identification of a former ammunition site using microarrays, bioassays, and chemical analysis.

    Science.gov (United States)

    Eisentraeger, Adolf; Reifferscheid, Georg; Dardenne, Freddy; Blust, Ronny; Schofer, Andrea

    2007-04-01

    More than 100,000 tons of 2,4,6-trinitrotoluene were produced at the former ammunition site Werk Tanne in Clausthal-Zellerfeld, Germany. The production of explosives and consequent detonation in approximately 1944 by the Allies caused great pollution in this area. Four soil samples and three water samples were taken from this site and characterized by applying chemical-analytical methods and several bioassays. Ecotoxicological test systems, such as the algal growth inhibition assay with Desmodesmus subspicatus, and genotoxicity tests, such as the umu and NM2009 tests, were performed. Also applied were the Ames test, according to International Organization for Standardization 16240, and an Ames fluctuation test. The toxic mode of action was examined using bacterial gene profiling assays with a battery of Escherichia coli strains and with the human liver cell line hepG2 using the PIQOR Toxicology cDNA microarray. Additionally, the molecular mechanism of 2,4,6-trinitrotoluene in hepG2 cells was analyzed. The present assessment indicates a danger of pollutant leaching for the soil-groundwater path. A possible impact for human health is discussed, because the groundwater in this area serves as drinking water. PMID:17447547

  1. Screening and Identification of Differentially Expressed Genes Induced by Cotton Bollworm Infestation from Cotton Plants with cDNA Microarray Method%基因芯片技术鉴定棉铃虫胁迫后棉花差异表达基因

    Institute of Scientific and Technical Information of China (English)

    武娟; 齐放军; 田文华; 韩榕; 张永军; 郭予元

    2011-01-01

    In general, gene expression changes when cotton is infested by phytophagous insects. Screening and identification of these regulatory genes induced by cotton bollworm (Helicoverpa armigera Hiibner) infestation will help us understand the molecular mechanism of the host plants resistance to insect pests. In this paper, cotton {Gossypium spp.cv. Zhongl2) was as test material. The cotton plants were divided into control groups and pest stress treatment groups (including 6, 12, 24 and 48 h, pest stress treatments, respectively). The total RNA were extracted from control groups and different pest stress treatments, and the Affymetrix cotton gene chip analysis were applied to explore gene expression profiles. It was found that a total of 4 109 genes (28%) in leaves weredifferentially expressed after induced 6 h, 1 917 of them was up-regulated and 2 192 of them was down-regulated, respectively. After 12 h, a total of 2 605 genes(l 8%) were differentially expressed, 1 326 of them was up-regulated and 1 279 of them was down-regulated, separately. After 24 h, a total of 3 213 genes (22%) were differentially expressed, 1 424 of them is up-regulated and 1 789 of them was down-regulated, respectively. After 48 h, a total of 2 763 genes (19%) were differentially expressed, 1 450 of them was up-regulated and 1 313 of them is down-regulated, separately. Bioinformatics analysis revealed that function of some differentially expressed genes involved roxidative stress response, defense response, signal transduction, transcriptional regulation, flavone and flavonol biosynthesis, terpenoids synthesis and metabolism, biosynthesis of alkaloids derived from many kinds of amino acids, etc. Furthermore, some potential genes which regulate specific volatiles emission in cotton were also identified. It was found that the gene expression of farnesyl pyrophosphate synthase was regulated by circadian rhythm. Meanwhile, (+)-delta-cadinenesynthase gene expression level increased when cotton plants

  2. SIGMA: A System for Integrative Genomic Microarray Analysis of Cancer Genomes

    Directory of Open Access Journals (Sweden)

    Davies Jonathan J

    2006-12-01

    Full Text Available Abstract Background The prevalence of high resolution profiling of genomes has created a need for the integrative analysis of information generated from multiple methodologies and platforms. Although the majority of data in the public domain are gene expression profiles, and expression analysis software are available, the increase of array CGH studies has enabled integration of high throughput genomic and gene expression datasets. However, tools for direct mining and analysis of array CGH data are limited. Hence, there is a great need for analytical and display software tailored to cross platform integrative analysis of cancer genomes. Results We have created a user-friendly java application to facilitate sophisticated visualization and analysis such as cross-tumor and cross-platform comparisons. To demonstrate the utility of this software, we assembled array CGH data representing Affymetrix SNP chip, Stanford cDNA arrays and whole genome tiling path array platforms for cross comparison. This cancer genome database contains 267 profiles from commonly used cancer cell lines representing 14 different tissue types. Conclusion In this study we have developed an application for the visualization and analysis of data from high resolution array CGH platforms that can be adapted for analysis of multiple types of high throughput genomic datasets. Furthermore, we invite researchers using array CGH technology to deposit both their raw and processed data, as this will be a continually expanding database of cancer genomes. This publicly available resource, the System for Integrative Genomic Microarray Analysis (SIGMA of cancer genomes, can be accessed at http://sigma.bccrc.ca.

  3. 气虚证模型大鼠反义DNA阵列A区基因表达谱特征的初步研究%The Features of Gene Expression Profile on A Area of AtlasTM cDNA Array among Rats with Qi Deficient Syndrome

    Institute of Scientific and Technical Information of China (English)

    田道法; 唐发清; 周小军

    2001-01-01

    To investigate the features of gene expression profile on A area of AtlasTM cDNA array and their response to treatment among rats with qi deficient syndrome.Qi deficient syndrome was induced in rats with the method of herbal decoction perfused gastrically and supplemented by forced swimming. The expressive features of genes on A area were determined in nasopharyngeal tissues of tested rats on AtlasTM cDNA expression array.Results: The expressive activities of c-jun and c-kit proto-oncogenes were downwards regulated,and those of prothymosin α and calcium binding protein genes were upwards regulated among the rats of model group,while c-jun and c-kit were the only genes still remaining in an abnormal status of activity,which were downwards regulated,among the rats of the treatment group.Conclusion:The features of gene expression profile of rats with qi deficient syndrome were the abnormal expression activities of proto-oncogenes and those genes related with stress response.The implications of this pathological process lie in the maintenance of the balance of yin and yang within the diseased body to a most favorable degree.%探讨气虚证模型大鼠A区基因表达谱特征及其对治疗的反应。采用药物加疲劳法制造Wistar大鼠气虚模型,AtlasTM反义DNA(cDNA)阵列法检测造模动物鼻咽上皮细胞基因组A区基因表达谱。结果:模型组动物表现细胞核转录因子亚单位基因c-jun和c-kit原癌基因表达下调,前胸腺素α和钙结合蛋白2基因表达上调。治疗1周后,表达上调的2基因活性恢复正常,但表达下调的2基因活性仍维持低表达状态。结论:单纯气虚证动物出现原癌基因和应激反应相关基因表达活性异常,其变化趋势和病理生理意义在于尽力维持机体内环境的稳定,即阴阳平衡。

  4. Development of DNA Microarrays for Metabolic Pathway and Bioprocess Monitoring

    Energy Technology Data Exchange (ETDEWEB)

    Gregory Stephanopoulos

    2004-07-31

    Transcriptional profiling experiments utilizing DNA microarrays to study the intracellular accumulation of PHB in Synechocystis has proved difficult in large part because strains that show significant differences in PHB which would justify global analysis of gene expression have not been isolated.

  5. Genes transactivated by hepatitis C virus core protein, a microarray assay

    Institute of Scientific and Technical Information of China (English)

    Min Liu; Shu-Lin Zhang; Jun Cheng; Yan Liu; Lin Wang; Qing Shao; Jian Zhang; Shu-Mei Lin

    2005-01-01

    AIM: To explore the new target genes transactivated by hepatitis C virus (HCV) core protein and to elucidate the pathogenesis of HCV infection.METHODS: Reverse transcribed cDNA was subjected tomicroarray assay. The coding gene transactivated by HCV core protein was cloned and analyzed with bioinformatics methods.RESULTS: The expressive vector of pcDNA3.1(-)-core was constructed and confirmed by restriction enzyme digestion and DNA sequencing and approved correct. mRNA was purified from HepG2 and HepG2 cells transfected with pcDNA3.1(-)-core, respectively. The cDNA derived was subjected to microarray assay. A new gene namedHCTP4 was cloned with molecular biological method in combination with bioinformatics method.CONCLUSION: HCV core is a potential transactivator.Microarray is an efficient and convenient method for analysis of differentially expressed genes.

  6. Protein Microarray On-Demand: A Novel Protein Microarray System

    OpenAIRE

    Chatterjee, Deb K.; Sitaraman, Kalavathy; Baptista, Cassio; Hartley, James; Hill, Thomas M.; David J. Munroe

    2008-01-01

    We describe a novel, simple and low-cost protein microarray strategy wherein the microarrays are generated by printing expression ready plasmid DNAs onto slides that can be converted into protein arrays on-demand. The printed expression plasmids serve dual purposes as they not only direct the synthesis of the protein of interest; they also serve to capture the newly synthesized proteins through a high affinity DNA-protein interaction. To accomplish this we have exploited the high-affinity bin...

  7. cDNA: 27908 [ASTRA[Archive

    Lifescience Database Archive (English)

    Full Text Available H. sapiens - Hs.406397 Homo sapiens cDNA FLJ45472 fis, clone BRSTN2016918, highly similar to Gli ... al fibrillary acidic protein, astrocyte ... gnl|UG|Hs#S16883914 AK128790 17/4578_27908.png ...

  8. cDNA: 57843 [ASTRA[Archive

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    Full Text Available M. musculus - Mm.1441 Mus musculus adult male testis cDNA, RIKEN full-length enriched library, c ... lone:4930519F16 product:hypothetical Serine proteases , trypsin family/Chymotrypsin serine protease famil ...

  9. cDNA: 55929 [ASTRA[Archive

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    Full Text Available M. musculus + Mm.244143 Mus musculus adult male small intestine cDNA, RIKEN full-length enriched ... rary, clone:2010001P08 product:hypothetical Serine proteases , trypsin family containing protein, full insert se ...

  10. cDNA: 44740 [ASTRA[Archive

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    Full Text Available M. musculus - Mm.29756 Mus musculus adult male testis cDNA, RIKEN full-length enriched library, ... 2 product:hypothetical Eukaryotic thiol (cysteine) proteases ... active site containing protein, full insert sequen ...

  11. cDNA: 43675 [ASTRA[Archive

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    Full Text Available M. musculus + Mm.333219 Mus musculus 8 days embryo whole body cDNA, RIKEN full-length enriched l ... 0 product:hypothetical Eukaryotic thiol (cysteine) proteases ... active site containing protein, full insert sequen ...

  12. cDNA: 53523 [ASTRA[Archive

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    Full Text Available M. musculus + Mm.277582 Mus musculus 16 days neonate cerebellum cDNA, RIKEN full-length enriched ... rary, clone:9630053E09 product:hypothetical Serine proteases , subtilase family/Leucine-rich repeat containing p ...

  13. cDNA: 42035 [ASTRA[Archive

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    Full Text Available M. musculus - Mm.274255 Mus musculus adult male urinary bladder cDNA, RIKEN full-length enriched ... rary, clone:9530081K03 product:hypothetical Serine proteases , trypsin family containing protein, full insert se ...

  14. cDNA: 43679 [ASTRA[Archive

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    Full Text Available M. musculus + Mm.333219 Mus musculus 10 days neonate cerebellum cDNA, RIKEN full-length enriched ... 0 product:hypothetical Eukaryotic thiol (cysteine) proteases ... active site containing protein, full insert sequen ...

  15. cDNA: 54640 [ASTRA[Archive

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    Full Text Available M. musculus - Mm.212157 Mus musculus adult male kidney cDNA, RIKEN full-length enriched library, ... 1 product:hypothetical Eukaryotic thiol (cysteine) proteases ... active site containing protein, full insert sequen ...

  16. cDNA: 44744 [ASTRA[Archive

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    Full Text Available M. musculus - Mm.29756 Mus musculus 0 day neonate thymus cDNA, RIKEN full-length enriched librar ... 1 product:hypothetical Eukaryotic thiol (cysteine) proteases ... active site containing protein, full insert sequen ...

  17. cDNA: 35986 [ASTRA[Archive

    Lifescience Database Archive (English)

    Full Text Available M. musculus - Mm.122430 Mus musculus adult male corpora quadrigemina cDNA, RIKEN full-length enr ... 0341B09 product:hypothetical Ubiquitin-conjugating enzymes ... containing protein, full insert sequence gnl|UG|Mm ...

  18. cDNA: 35981 [ASTRA[Archive

    Lifescience Database Archive (English)

    Full Text Available M. musculus - Mm.122430 Mus musculus adult retina cDNA, RIKEN full-length enriched library, clon ... 0014I21 product:hypothetical Ubiquitin-conjugating enzymes ... containing protein, full insert sequence gnl|UG|Mm ...

  19. cDNA: 35985 [ASTRA[Archive

    Lifescience Database Archive (English)

    Full Text Available M. musculus - Mm.122430 Mus musculus adult male testis cDNA, RIKEN full-length enriched library, ... 0440H19 product:hypothetical Ubiquitin-conjugating enzymes ... containing protein, full insert sequence gnl|UG|Mm ...

  20. cDNA sequence quality data - Budding yeast cDNA sequencing project | LSDB Archive [Life Science Database Archive metadata

    Lifescience Database Archive (English)

    Full Text Available Budding yeast cDNA sequencing project cDNA sequence quality data Data detail Data name cDNA sequence quality... data Description of data contents Phred's quality score. PHD format, one file to a single cDNA data, and co...ription Download License Update History of This Database Site Policy | Contact Us cDNA sequence quality data - Budding yeast cDNA sequencing project | LSDB Archive ...

  1. A genome-wide 20 K citrus microarray for gene expression analysis

    OpenAIRE

    Martinez-Godoy, M Angeles; Mauri, Nuria; Juarez, Jose; Marques, M Carmen; Santiago, Julia; Forment, Javier; Gadea, Jose

    2008-01-01

    Background Understanding of genetic elements that contribute to key aspects of citrus biology will impact future improvements in this economically important crop. Global gene expression analysis demands microarray platforms with a high genome coverage. In the last years, genome-wide EST collections have been generated in citrus, opening the possibility to create new tools for functional genomics in this crop plant. Results We have designed and constructed a publicly available genome-wide cDNA...

  2. Differential gene expression in recombinant Pichia pastoris analysed by heterologous DNA microarray hybridisation

    OpenAIRE

    Porro Danilo; Maurer Michael; Valli Minoska; Gasser Brigitte; Branduardi Paola; Sauer Michael; Mattanovich Diethard

    2004-01-01

    Abstract Background Pichia pastoris is a well established yeast host for heterologous protein expression, however, the physiological and genetic information about this yeast remains scanty. The lack of a published genome sequence renders DNA arrays unavailable, thereby hampering more global investigations of P. pastoris from the beginning. Here, we examine the suitability of Saccharomyces cerevisiae DNA microarrays for heterologous hybridisation with P. pastoris cDNA. Results We could show th...

  3. A molecular analysis by gene expression profiling reveals Bik/NBK overexpression in sporadic breast tumor samples of Mexican females

    International Nuclear Information System (INIS)

    Breast cancer is one of the most frequent causes of death in Mexican women over 35 years of age. At molecular level, changes in many genetic networks have been reported as associated with this neoplasia. To analyze these changes, we determined gene expression profiles of tumors from Mexican women with breast cancer at different stages and compared these with those of normal breast tissue samples. 32P-radiolabeled cDNA was synthesized by reverse transcription of mRNA from fresh sporadic breast tumor biopsies, as well as normal breast tissue. cDNA probes were hybridized to microarrays and expression levels registered using a phosphorimager. Expression levels of some genes were validated by real time RT-PCR and immunohistochemical assays. We identified two subgroups of tumors according to their expression profiles, probably related with cancer progression. Ten genes, unexpressed in normal tissue, were turned on in some tumors. We found consistent high expression of Bik gene in 14/15 tumors with predominant cytoplasmic distribution. Recently, the product of the Bik gene has been associated with tumoral reversion in different neoplasic cell lines, and was proposed as therapy to induce apoptosis in cancers, including breast tumors. Even though a relationship among genes, for example those from a particular pathway, can be observed through microarrays, this relationship might not be sufficient to assign a definitive role to Bik in development and progression of the neoplasia. The findings herein reported deserve further investigation

  4. Use of microarray technology to assess the time course of liver stress response after confinement exposure in gilthead sea bream (Sparus aurata L.

    Directory of Open Access Journals (Sweden)

    Cairns Michael T

    2010-03-01

    Full Text Available Abstract Background Selection programs for growth and stress traits in cultured fish are fundamental to the improvement of aquaculture production. The gilthead sea bream (Sparus aurata is the main aquacultured species in the Mediterranean area and there is considerable interest in the genetic improvement of this species. With the aim of increasing the genomic resources in gilthead sea bream and identifying genes and mechanisms underlying the physiology of the stress response, we developed a cDNA microarray for gilthead sea bream that is enriched by suppression substractive hybridization with stress and immunorelevant genes. This microarray is used to analyze the dynamics of gilthead sea bream liver expression profile after confinement exposure. Results Groups of confined and control juvenile fish were sampled at 6, 24, 72 and 120 h post exposure. GeneSpring analyses identified 202 annotated genes that appeared differentially expressed at least at one sampling time (P Conclusions Collectively, these findings show the complex nature of the adaptive stress response with a clear indication that the ER is an important control point for homeostatic adjustments. The study also identifies metabolic pathways which could be analyzed in greater detail to provide new insights regarding the transcriptional regulation of the stress response in fish.

  5. Microarray Scanner for Fluorescence Detection

    Institute of Scientific and Technical Information of China (English)

    2003-01-01

    A novel pseudo confocal microarray scanner is introduced, in which one dimension scanning is performed by a galvanometer optical scanner and a telecentric objective, another dimension scanning is performed by a stepping motor.

  6. Microarrayed Materials for Stem Cells

    OpenAIRE

    Ying Mei

    2012-01-01

    Stem cells hold remarkable promise for applications in disease modeling, cancer therapy, and regenerative medicine. Despite the significant progress made during the last decade, designing materials to control stem cell fate remains challenging. As an alternative, materials microarray technology has received great attention because it allows for high throughput materials synthesis and screening at a reasonable cost. Here, we discuss recent developments in materials microarray technology and th...

  7. GEPAS, a web-based tool for microarray data analysis and interpretation

    OpenAIRE

    Tárraga, Joaquín; Medina, Ignacio; Carbonell, José; Huerta-Cepas, Jaime; Minguez, Pablo; Alloza, Eva; Al-Shahrour, Fátima; Vegas-Azcárate, Susana; Goetz, Stefan; Escobar, Pablo; Garcia-Garcia, Francisco; Conesa, Ana; Montaner, David; Dopazo, Joaquín

    2008-01-01

    Gene Expression Profile Analysis Suite (GEPAS) is one of the most complete and extensively used web-based packages for microarray data analysis. During its more than 5 years of activity it has continuously been updated to keep pace with the state-of-the-art in the changing microarray data analysis arena. GEPAS offers diverse analysis options that include well established as well as novel algorithms for normalization, gene selection, class prediction, clustering and functional profiling of the...

  8. 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.

  9. Stability and Heterogeneity of Expression Profiles in Lung Cancer Specimens Harvested Following Surgical Resection

    Directory of Open Access Journals (Sweden)

    Fiona H. Blackhall

    2004-11-01

    Full Text Available One of the major concerns in microarray profiling studies of clinical samples is the effect of tissue sampling and RNA extraction on data. We analyzed gene expression in lung cancer specimens that were serially harvested from tumor mass and snap-frozen at several intervals up to 120 minutes after surgical resection. Global gene expression was profiled on cDNA microarrays, and selected stress and hypoxia-activated genes were evaluated using real-time reverse transcription polymerase chain reaction (RT-PCR. Remarkably, similar gene expression profiles were obtained for the majority of samples regardless of the time that had elapsed between resection and freezing. Real-time RT-PCR studies showed significant heterogeneity in the expression levels of stress and hypoxia-activated genes in samples obtained from different areas of a tumor specimen at one time point after resection. The variations between multiple samplings were significantly greater than those of elapsed time between sampling/freezing. Overall samples snap-frozen within 30 to 60 minutes of surgical resection are acceptable for gene expression studies, thus making sampling and snap-freezing of tumor samples in a routine surgical pathology laboratory setting feasible. However, sampling and pooling from multiple sites of each tumor may be necessary for expression profiling studies to overcome the molecular heterogeneity present in tumor specimens.

  10. MiRNA profiles of prostate carcinoma detected by multi-platform miRNA screening

    DEFF Research Database (Denmark)

    Wach, Sven; Nolte, Elke; Szczyrba, Jaroslaw; Stöhr, Robert; Hartmann, Arndt; Orntoft, Torben; Andersen, Lars Dyrskjøt; Eltze, Elke; Wieland, Wolf; Keck, Bastian; Ekici, Arif B; Grässer, Friedrich; Wullich, Bernd

    MicroRNAs (miRNAs) are small RNA molecules that regulate gene expression via posttranscriptional inhibition of protein synthesis. They play a vital role in tumorigenesis. To characterize the diagnostic potential of miRNAs in prostate cancer, a leading cause of cancer mortality, we performed...... screening of miRNA expression profiles. We used commercially available microarrays to establish miRNA expression profiles from a cohort of 20 cancer samples. The expression of selected miRNAs was analyzed by quantitative real-time PCR and the identity of miRNA expressing cells was determined by miRNA in...... situ hybridization. We identified 25 miRNAs that showed a significant differential expression in cancer samples. The comparison with previously published data generated by deep sequencing of cDNA libraries of small RNA molecules revealed a concordance rate of 47% among miRNAs identified with both...

  11. Species differences in brain gene expression profiles associated with adult behavioral maturation in honey bees

    Directory of Open Access Journals (Sweden)

    Robinson Gene E

    2007-06-01

    Full Text Available Abstract Background Honey bees are known for several striking social behaviors, including a complex pattern of behavioral maturation that gives rise to an age-related colony division of labor and a symbolic dance language, by which successful foragers communicate the location of attractive food sources to their nestmates. Our understanding of honey bees is mostly based on studies of the Western honey bee, Apis mellifera, even though there are 9–10 other members of genus Apis, showing interesting variations in social behavior relative to A. mellifera. To facilitate future in-depth genomic and molecular level comparisons of behavior across the genus, we performed a microarray analysis of brain gene expression for A. mellifera and three key species found in Asia, A. cerana, A. florea and A. dorsata. Results For each species we compared brain gene expression patterns between foragers and adult one-day-old bees on an A. mellifera cDNA microarray and calculated within-species gene expression ratios to facilitate cross-species analysis. The number of cDNA spots showing hybridization fluorescence intensities above the experimental threshold was reduced by an average of 16% in the Asian species compared to A. mellifera, but an average of 71% of genes on the microarray were available for analysis. Brain gene expression profiles between foragers and one-day-olds showed differences that are consistent with a previous study on A. mellifera and were comparable across species. Although 1772 genes showed significant differences in expression between foragers and one-day-olds, only 218 genes showed differences in forager/one-day-old expression between species (p Conclusion We conclude that the A. mellifera cDNA microarray can be used effectively for cross-species comparisons within the genus. Our results indicate that there is a widespread conservation of the molecular processes in the honey bee brain underlying behavioral maturation. Species differences in

  12. Transcriptome profiling in conifers and the PiceaGenExpress database show patterns of diversification within gene families and interspecific conservation in vascular gene expression

    Directory of Open Access Journals (Sweden)

    Raherison Elie

    2012-08-01

    Full Text Available Abstract Background Conifers have very large genomes (13 to 30 Gigabases that are mostly uncharacterized although extensive cDNA resources have recently become available. This report presents a global overview of transcriptome variation in a conifer tree and documents conservation and diversity of gene expression patterns among major vegetative tissues. Results An oligonucleotide microarray was developed from Picea glauca and P. sitchensis cDNA datasets. It represents 23,853 unique genes and was shown to be suitable for transcriptome profiling in several species. A comparison of secondary xylem and phelloderm tissues showed that preferential expression in these vascular tissues was highly conserved among Picea spp. RNA-Sequencing strongly confirmed tissue preferential expression and provided a robust validation of the microarray design. A small database of transcription profiles called PiceaGenExpress was developed from over 150 hybridizations spanning eight major tissue types. In total, transcripts were detected for 92% of the genes on the microarray, in at least one tissue. Non-annotated genes were predominantly expressed at low levels in fewer tissues than genes of known or predicted function. Diversity of expression within gene families may be rapidly assessed from PiceaGenExpress. In conifer trees, dehydrins and late embryogenesis abundant (LEA osmotic regulation proteins occur in large gene families compared to angiosperms. Strong contrasts and low diversity was observed in the dehydrin family, while diverse patterns suggested a greater degree of diversification among LEAs. Conclusion Together, the oligonucleotide microarray and the PiceaGenExpress database represent the first resource of this kind for gymnosperm plants. The spruce transcriptome analysis reported here is expected to accelerate genetic studies in the large and important group comprised of conifer trees.

  13. Microarray analysis of tumor necrosis factor α induced gene expression in U373 human glioblastoma cells

    Directory of Open Access Journals (Sweden)

    Prüllage Maria

    2003-11-01

    Full Text Available Abstract Background Tumor necrosis factor α (TNF is able to induce a variety of biological responses in the nervous system including inflammation and neuroprotection. Human astrocytoma cells U373 have been widely used as a model for inflammatory cytokine actions in the nervous system. Here we used cDNA microarrays to analyze the time course of the transcriptional response from 1 h up to 12 h post TNF treatment in comparison to untreated U373 cells. TNF activated strongly the NF-κB transcriptional pathway and is linked to other pathways via the NF-κB target genes JUNB and IRF-1. Part of the TNF-induced gene expression could be inhibited by pharmacological inhibition of NF-κB with pyrrolidine-dithiocarbamate (PDTC. NF-κB comprises a family of transcription factors which are involved in the inducible expression of genes regulating neuronal survival, inflammatory response, cancer and innate immunity. Results In this study we show that numerous genes responded to TNF (> 880 from 7500 tested with a more than two-fold induction rate. Several novel TNF-responsive genes (about 60% of the genes regulated by a factor ≥ 3 were detected. A comparison of our TNF-induced gene expression profiles of U373, with profiles from 3T3 and Hela cells revealed a striking cell-type specificity. SCYA2 (MCP-1, CCL2, MCAF was induced in U373 cells in a sustained manner and at the highest level of all analyzed genes. MCP-1 protein expression, as monitored with immunofluorescence and ELISA, correlated exactly with microarray data. Based on these data and on evidence from literature we suggest a model for the potential neurodegenerative effect of NF-κB in astroglia: Activation of NF-κB via TNF results in a strongly increased production of MCP-1. This leads to a exacerbation of neurodegeneration in stoke or Multiple Sclerosis, presumably via infiltration of macrophages. Conclusions The vast majority of genes regulated more than 3-fold were previously not linked to

  14. The Stanford Tissue Microarray Database.

    Science.gov (United States)

    Marinelli, Robert J; Montgomery, Kelli; Liu, Chih Long; Shah, Nigam H; Prapong, Wijan; Nitzberg, Michael; Zachariah, Zachariah K; Sherlock, Gavin J; Natkunam, Yasodha; West, Robert B; van de Rijn, Matt; Brown, Patrick O; Ball, Catherine A

    2008-01-01

    The Stanford Tissue Microarray Database (TMAD; http://tma.stanford.edu) is a public resource for disseminating annotated tissue images and associated expression data. Stanford University pathologists, researchers and their collaborators worldwide use TMAD for designing, viewing, scoring and analyzing their tissue microarrays. The use of tissue microarrays allows hundreds of human tissue cores to be simultaneously probed by antibodies to detect protein abundance (Immunohistochemistry; IHC), or by labeled nucleic acids (in situ hybridization; ISH) to detect transcript abundance. TMAD archives multi-wavelength fluorescence and bright-field images of tissue microarrays for scoring and analysis. As of July 2007, TMAD contained 205 161 images archiving 349 distinct probes on 1488 tissue microarray slides. Of these, 31 306 images for 68 probes on 125 slides have been released to the public. To date, 12 publications have been based on these raw public data. TMAD incorporates the NCI Thesaurus ontology for searching tissues in the cancer domain. Image processing researchers can extract images and scores for training and testing classification algorithms. The production server uses the Apache HTTP Server, Oracle Database and Perl application code. Source code is available to interested researchers under a no-cost license. PMID:17989087

  15. Understanding mechanisms of vitiligo development in Smyth line of chickens by transcriptomic microarray analysis of evolving autoimmune lesions

    Directory of Open Access Journals (Sweden)

    Shi Fengying

    2012-04-01

    Full Text Available Abstract Background The Smyth line (SL of chicken is an excellent avian model for human autoimmune vitiligo. The etiology of vitiligo is complicated and far from clear. In order to better understand critical components leading to vitiligo development, cDNA microarray technology was used to compare gene expression profiles in the target tissue (the growing feather of SL chickens at different vitiligo (SLV states. Results Compared to the reference sample, which was from Brown line chickens (the parental control, 395, 522, 524 and 526 out of the 44 k genes were differentially expressed (DE (P ≤ 0.05 in feather samples collected from SL chickens that never developed SLV (NV, from SLV chickens prior to SLV onset (EV, during active loss of pigmentation (AV, and after complete loss of melanocytes (CV. Comparisons of gene expression levels within SL samples (NV, EV, AV and CV revealed 206 DE genes, which could be categorized into immune system-, melanocyte-, stress-, and apoptosis-related genes based on the biological functions of their corresponding proteins. The autoimmune nature of SLV was supported by predominant presence of immune system related DE genes and their remarkably elevated expression in AV samples compared to NV, EV and/or CV samples. Melanocyte loss was confirmed by decreased expression of genes for melanocyte related proteins in AV and CV samples compared to NV and EV samples. In addition, SLV development was also accompanied by altered expression of genes associated with disturbed redox status and apoptosis. Ingenuity Pathway Analysis of DE genes provided functional interpretations involving but not limited to innate and adaptive immune response, oxidative stress and cell death. Conclusions The microarray results provided comprehensive information at the transcriptome level supporting the multifactorial etiology of vitiligo, where together with apparent inflammatory/innate immune activity and oxidative stress, the adaptive immune

  16. Development of a cDNA array for chicken gene expression analysis

    Directory of Open Access Journals (Sweden)

    Burt David

    2005-02-01

    Full Text Available Abstract Background The application of microarray technology to functional genomic analysis in the chicken has been limited by the lack of arrays containing large numbers of genes. Results We have produced cDNA arrays using chicken EST collections generated by BBSRC, University of Delaware and the Fred Hutchinson Cancer Research Center. From a total of 363,838 chicken ESTs representing 24 different adult or embryonic tissues, a set of 11,447 non-redundant ESTs were selected and added to an existing collection of clones (4,162 from immune tissues and a chicken bursal cell line (DT40. Quality control analysis indicates there are 13,007 useable features on the array, including 160 control spots. The array provides broad coverage of mRNAs expressed in many tissues; in addition, clones with expression unique to various tissues can be detected. Conclusions A chicken multi-tissue cDNA microarray with 13,007 features is now available to academic researchers from genomics@fhcrc.org. Sequence information for all features on the array is in GenBank, and clones can be readily obtained. Targeted users include researchers in comparative and developmental biology, immunology, vaccine and agricultural technology. These arrays will be an important resource for the entire research community using the chicken as a model.

  17. Difference of Gene Expression Profiles between Barrett's Esophagus and Cardia Intestinal Metaplasia by Gene Chip

    Institute of Scientific and Technical Information of China (English)

    CHANG Ying; LIU Bin

    2006-01-01

    The difference of gene expression profile changes in Barrettes esophagus (BE) and cardia intestinal metaplasia (CIM) epithelium was studied and the novel associated genes were screened in the early stage by cDNA microarray. The cDNA retro-transcribed from equal quantity mRNA from BE and CIM epithelial tissues were labeled with Cy3 and Cy5 fluorescence as probes. The mixed probe was hybridized with three pieces BiostarH-40s double dot human whole gene chip. The chips were scanned with a ScanArray 4000. The acquired images were analyzed using GenePix Pro 3.0 software. It was found a total of 141 genes were screened out that exhibited differentially expression more than 2 times in all three chips. It was identified that in gene expression profiles of BE, 74 genes were up-regulated and 67 down-regulated as compared with CIM. The comparison between the difference of gene expression profile changes in BE and CIM epithelia revealed that there existed the difference between BE and CIM at gene level. 141 genes with the expression more than two time were probably related to the occurrence and development of BE and the promotion or progress in adenocarcinoma.

  18. The Porcelain Crab Transcriptome and PCAD, the Porcelain Crab Microarray and Sequence Database

    Energy Technology Data Exchange (ETDEWEB)

    Tagmount, Abderrahmane; Wang, Mei; Lindquist, Erika; Tanaka, Yoshihiro; Teranishi, Kristen S.; Sunagawa, Shinichi; Wong, Mike; Stillman, Jonathon H.

    2010-01-27

    Background: With the emergence of a completed genome sequence of the freshwater crustacean Daphnia pulex, construction of genomic-scale sequence databases for additional crustacean sequences are important for comparative genomics and annotation. Porcelain crabs, genus Petrolisthes, have been powerful crustacean models for environmental and evolutionary physiology with respect to thermal adaptation and understanding responses of marine organisms to climate change. Here, we present a large-scale EST sequencing and cDNA microarray database project for the porcelain crab Petrolisthes cinctipes. Methodology/Principal Findings: A set of ~;;30K unique sequences (UniSeqs) representing ~;;19K clusters were generated from ~;;98K high quality ESTs from a set of tissue specific non-normalized and mixed-tissue normalized cDNA libraries from the porcelain crab Petrolisthes cinctipes. Homology for each UniSeq was assessed using BLAST, InterProScan, GO and KEGG database searches. Approximately 66percent of the UniSeqs had homology in at least one of the databases. All EST and UniSeq sequences along with annotation results and coordinated cDNA microarray datasets have been made publicly accessible at the Porcelain Crab Array Database (PCAD), a feature-enriched version of the Stanford and Longhorn Array Databases.Conclusions/Significance: The EST project presented here represents the third largest sequencing effort for any crustacean, and the largest effort for any crab species. Our assembly and clustering results suggest that our porcelain crab EST data set is equally diverse to the much larger EST set generated in the Daphnia pulex genome sequencing project, and thus will be an important resource to the Daphnia research community. Our homology results support the pancrustacea hypothesis and suggest that Malacostraca may be ancestral to Branchiopoda and Hexapoda. Our results also suggest that our cDNA microarrays cover as much of the transcriptome as can reasonably be captured in

  19. cDNA: 13750 [ASTRA[Archive

    Lifescience Database Archive (English)

    Full Text Available H. sapiens + Hs.183373 Homo sapiens full open reading frame cDNA clone RZPDo834C1012D for gene HIP ... IP-55, src homology 3 domain-containing protein HIP -55; complete cds, incl. stopcodon gnl|UG|Hs#S20347 ...

  20. cDNA: 46042 [ASTRA[Archive

    Lifescience Database Archive (English)

    Full Text Available M. musculus + Mm.290868 Mus musculus 12 days embryo spinal ganglion cDNA, RIKEN full-length enri ... , clone:D130020P04 product:target of myb1 homolog (chicken ), full insert sequence gnl|UG|Mm#S10839663 AK05124 ...

  1. cDNA: 37672 [ASTRA[Archive

    Lifescience Database Archive (English)

    Full Text Available M. musculus - Mm.315626 Mus musculus adult male thymus cDNA, RIKEN full-length enriched library, ... 10 product:MODULATOR OF ANTIGEN RECEPTOR SIGNALING MARS , full insert sequence gnl|UG|Mm#S10847064 AK030877 ...

  2. cDNA: 37677 [ASTRA[Archive

    Lifescience Database Archive (English)

    Full Text Available M. musculus - Mm.315626 Mus musculus adult retina cDNA, RIKEN full-length enriched library, clon ... 21 product:MODULATOR OF ANTIGEN RECEPTOR SIGNALING MARS , full insert sequence gnl|UG|Mm#S9072626 AK020837 ...

  3. cDNA: 37673 [ASTRA[Archive

    Lifescience Database Archive (English)

    Full Text Available M. musculus - Mm.315626 Mus musculus 2 days neonate thymus thymic cells cDNA, RIKEN full-length ... 24 product:MODULATOR OF ANTIGEN RECEPTOR SIGNALING MARS , full insert sequence gnl|UG|Mm#S10833741 AK088672 ...

  4. cDNA: 53525 [ASTRA[Archive

    Lifescience Database Archive (English)

    Full Text Available M. musculus + Mm.277582 Mus musculus 10 days neonate cerebellum cDNA, RIKEN full-length enriched ... rary, clone:B930059G06 product:hypothetical Serine proteases , subtilase family/Leucine-rich repeat containing p ...

  5. cDNA: 53519 [ASTRA[Archive

    Lifescience Database Archive (English)

    Full Text Available M. musculus + Mm.277582 Mus musculus 0 day neonate eyeball cDNA, RIKEN full-length enriched libr ... ary, clone:E130306I01 product:hypothetical Serine proteases , subtilase family/Leucine-rich repeat containing p ...

  6. cDNA: 57842 [ASTRA[Archive

    Lifescience Database Archive (English)

    Full Text Available M. musculus - Mm.1441 Mus musculus adult male spinal cord cDNA, RIKEN full-length enriched libra ... ry, clone:A330093C04 product:hypothetical Serine proteases , trypsin family/Chymotrypsin serine protease famil ...

  7. cDNA: 35980 [ASTRA[Archive

    Lifescience Database Archive (English)

    Full Text Available M. musculus - Mm.122430 Mus musculus 0 day neonate cerebellum cDNA, RIKEN full-length enriched l ... 0027A22 product:hypothetical Ubiquitin-conjugating enzymes ... containing protein, full insert sequence gnl|UG|Mm ...

  8. cDNA: 35899 [ASTRA[Archive

    Lifescience Database Archive (English)

    Full Text Available M. musculus + Mm.337238 Mus musculus 13 days embryo liver cDNA, RIKEN full-length enriched libra ... 0010F15 product:hypothetical Ubiquitin-conjugating enzymes ... containing protein, full insert sequence gnl|UG|Mm ...

  9. cDNA: 35982 [ASTRA[Archive

    Lifescience Database Archive (English)

    Full Text Available M. musculus - Mm.122430 Mus musculus 14 days embryo thymus cDNA, RIKEN full-length enriched libr ... 0401J04 product:hypothetical Ubiquitin-conjugating enzymes ... containing protein, full insert sequence gnl|UG|Mm ...

  10. Gene transcriptional profiles in human lymphoblastoid cells with low and high doses of irradiation

    International Nuclear Information System (INIS)

    Objective: To compare the gene expression difference between 0.1 and 5 Gy X-ray irradiated cells,and to explore its possible mechanism. Methods: A cDNA microarray corresponding to 45033 human genes was used to analyze the transcriptional profiles of normal human lymphoblastoid AHH-1 cells at 4 h after 0.1 or 5 Gy irradiation. The genes with a fold change ≥ 2.0 were identified as the differentially expressed genes. real-lime PCR and Western blot were used to confirm the expression of PERP. Results: The microarray assay showed that there were 760 up-regulated genes and 1222 down-regulated genes in the cells at 0.1 Gy, while there were 744 genes down-regulated and 457 genes up-regulated in the cells at 5 Gy. In addition, 55 genes were commonly up-regulated and 339 genes commonly down-regulated at 0.1 and 5 Gy. The predominant biological processes of the differential genes responding to low-dose radiation include cell-cell signaling transduction and DNA damage response, and the altered genes after 5 Gy irradiation were related to cell proliferation, differentiation, and apoptosis. Moreover, the expression of PERP gene was down regulated, which was consistent with the data of microarray assay. Conclusions: The quantitative and qualitative differences in the gene expressions may contribute to the diverse biological effects induced by low or high doses of ionizing radiation. (authors)

  11. Microarray analysis of extracellular matrix genes expression in myocardium of mouse with Coxsackie virus B3 myocarditis

    Institute of Scientific and Technical Information of China (English)

    张召才; 李双杰; 杨英珍; 陈瑞珍; 葛均波; 陈灏珠

    2004-01-01

    Background Extracellular matrix (ECM) orchestrates cell behaviour including growth, death, apoptosis, adhesion, migration, and invasion by activating several signalling pathways. Certain components of ECM, such as integrins, may act as receptors or co-receptors of enterovirus. ECM-activated gene expressions in myocardium of viral heart disease including myocarditis and partial cardiomyopathy remain elusive. This study was to investigate the expression of ECM-activated genes in myocardium of mouse with viral myocarditis. Methods BALB/c mice were infected with Coxsackie virus B3 (CVB3) to establish an animal model of myocarditis. Uninfected mice were also prepared and served as controls. Specific mRNA expression pattern in myocarditic mouse heart was analysed by an in-house cDNA microarray containing 8192 genes. Overexpressed ECM genes were selected and subsequently confirmed by Northern blot analysis. Results Nine ECM genes were isolated, from the array of 8192 genes, as overexpressed genes in hearts of myocarditic mice in comparison with controls. Subsequent Northern blot analysis confirmed that four of the nine genes were highly expressed. Expression of these four genes, Fin15, Ilk, Lamr1 and ADAMTS-1, has not been reported previously to be induced by Coxsackie virus. Conclusion CVB3-induced myocarditis is associated with gene expression profiles of certain ECM components.

  12. Microfluidic microarray systems and methods thereof

    Science.gov (United States)

    West, Jay A. A.; Hukari, Kyle W.; Hux, Gary A.

    2009-04-28

    Disclosed are systems that include a manifold in fluid communication with a microfluidic chip having a microarray, an illuminator, and a detector in optical communication with the microarray. Methods for using these systems for biological detection are also disclosed.

  13. Microarray Developed on Plastic Substrates.

    Science.gov (United States)

    Bañuls, María-José; Morais, Sergi B; Tortajada-Genaro, Luis A; Maquieira, Ángel

    2016-01-01

    There is a huge potential interest to use synthetic polymers as versatile solid supports for analytical microarraying. Chemical modification of polycarbonate (PC) for covalent immobilization of probes, micro-printing of protein or nucleic acid probes, development of indirect immunoassay, and development of hybridization protocols are described and discussed. PMID:26614067

  14. An efficient algorithm for the stochastic simulation of the hybridization of DNA to microarrays

    Directory of Open Access Journals (Sweden)

    Laurenzi Ian J

    2009-12-01

    Full Text Available Abstract Background Although oligonucleotide microarray technology is ubiquitous in genomic research, reproducibility and standardization of expression measurements still concern many researchers. Cross-hybridization between microarray probes and non-target ssDNA has been implicated as a primary factor in sensitivity and selectivity loss. Since hybridization is a chemical process, it may be modeled at a population-level using a combination of material balance equations and thermodynamics. However, the hybridization reaction network may be exceptionally large for commercial arrays, which often possess at least one reporter per transcript. Quantification of the kinetics and equilibrium of exceptionally large chemical systems of this type is numerically infeasible with customary approaches. Results In this paper, we present a robust and computationally efficient algorithm for the simulation of hybridization processes underlying microarray assays. Our method may be utilized to identify the extent to which nucleic acid targets (e.g. cDNA will cross-hybridize with probes, and by extension, characterize probe robustnessusing the information specified by MAGE-TAB. Using this algorithm, we characterize cross-hybridization in a modified commercial microarray assay. Conclusions By integrating stochastic simulation with thermodynamic prediction tools for DNA hybridization, one may robustly and rapidly characterize of the selectivity of a proposed microarray design at the probe and "system" levels. Our code is available at http://www.laurenzi.net.

  15. Fish and chips: Various methodologies demonstrate utility of a 16,006-gene salmonid microarray

    Directory of Open Access Journals (Sweden)

    Nelson Colleen C

    2005-09-01

    Full Text Available Abstract Background We have developed and fabricated a salmonid microarray containing cDNAs representing 16,006 genes. The genes spotted on the array have been stringently selected from Atlantic salmon and rainbow trout expressed sequence tag (EST databases. The EST databases presently contain over 300,000 sequences from over 175 salmonid cDNA libraries derived from a wide variety of tissues and different developmental stages. In order to evaluate the utility of the microarray, a number of hybridization techniques and screening methods have been developed and tested. Results We have analyzed and evaluated the utility of a microarray containing 16,006 (16K salmonid cDNAs in a variety of potential experimental settings. We quantified the amount of transcriptome binding that occurred in cross-species, organ complexity and intraspecific variation hybridization studies. We also developed a methodology to rapidly identify and confirm the contents of a bacterial artificial chromosome (BAC library containing Atlantic salmon genomic DNA. Conclusion We validate and demonstrate the usefulness of the 16K microarray over a wide range of teleosts, even for transcriptome targets from species distantly related to salmonids. We show the potential of the use of the microarray in a variety of experimental settings through hybridization studies that examine the binding of targets derived from different organs and tissues. Intraspecific variation in transcriptome expression is evaluated and discussed. Finally, BAC hybridizations are demonstrated as a rapid and accurate means to identify gene content.

  16. Comparison of gene expression microarray data with count-based RNA measurements informs microarray interpretation

    OpenAIRE

    Richard, Arianne C.; Lyons, Paul A.; Peters, James E.; Biasci, Daniele; Flint, Shaun M; James C Lee; McKinney, Eoin F; Siegel, Richard M.; Smith, Kenneth GC

    2014-01-01

    Background Although numerous investigations have compared gene expression microarray platforms, preprocessing methods and batch correction algorithms using constructed spike-in or dilution datasets, there remains a paucity of studies examining the properties of microarray data using diverse biological samples. Most microarray experiments seek to identify subtle differences between samples with variable background noise, a scenario poorly represented by constructed datasets. Thus, microarray u...

  17. The Widely Used Diagnostics "DNA Microarray"-A Review

    OpenAIRE

    Kumar, R M

    2009-01-01

    Problem statement: DNA microarray technique is one of the latest advances in the field of molecular biology and medicine. It is a multiplex technique used in combination of bioinformatics and statistical data analysis. Since, 1995, the technique offers the possibility of conducting tens or hundreds of thousands of simultaneous hybridizations. Approach: This increased experimental efficiency permits high throughput and whole genome expression profiling of pathogen...

  18. Gene networks from DNA microarray data: centrality and lethality

    OpenAIRE

    Provero, P.

    2002-01-01

    We construct a gene network based on expression data from DNA microarray experiments, by establishing a link between two genes whenever the Pearson's correlation coefficient between their expression profiles is higher than a certain cutoff. The resulting connectivity distribution is compatible with a power-law decay with exponent ~1, corrected by an exponential cutoff at large connectivity. The biological relevance of such network is demonstrated by showing that there is a strong statistical ...

  19. Assessing the Application of Tissue Microarray Technology to Kidney Research

    OpenAIRE

    Zhang, Ming-Zhi; Su, Yinghao; Yao, Bing; Zheng, Wei; deCaestecker, Mark; Harris, Raymond C.

    2010-01-01

    Tissue microarray (TMA) is a new high-throughput method that enables simultaneous analysis of the profiles of protein expression in multiple tissue samples. TMA technology has not previously been adapted for physiological and pathophysiological studies of rodent kidneys. We have evaluated the validity and reliability of using TMA to assess protein expression in mouse and rat kidneys. A representative TMA block that we have produced included: (1) mouse and rat kidney cortex, outer medulla, and...

  20. Identification of novel endogenous antisense transcripts by DNA microarray analysis targeting complementary strand of annotated genes

    Directory of Open Access Journals (Sweden)

    Kohama Chihiro

    2009-08-01

    Full Text Available Abstract Background Recent transcriptomic analyses in mammals have uncovered the widespread occurrence of endogenous antisense transcripts, termed natural antisense transcripts (NATs. NATs are transcribed from the opposite strand of the gene locus and are thought to control sense gene expression, but the mechanism of such regulation is as yet unknown. Although several thousand potential sense-antisense pairs have been identified in mammals, examples of functionally characterized NATs remain limited. To identify NAT candidates suitable for further functional analyses, we performed DNA microarray-based NAT screening using mouse adult normal tissues and mammary tumors to target not only the sense orientation but also the complementary strand of the annotated genes. Results First, we designed microarray probes to target the complementary strand of genes for which an antisense counterpart had been identified only in human public cDNA sources, but not in the mouse. We observed a prominent expression signal from 66.1% of 635 target genes, and 58 genes of these showed tissue-specific expression. Expression analyses of selected examples (Acaa1b and Aard confirmed their dynamic transcription in vivo. Although interspecies conservation of NAT expression was previously investigated by the presence of cDNA sources in both species, our results suggest that there are more examples of human-mouse conserved NATs that could not be identified by cDNA sources. We also designed probes to target the complementary strand of well-characterized genes, including oncogenes, and compared the expression of these genes between mammary cancerous tissues and non-pathological tissues. We found that antisense expression of 95 genes of 404 well-annotated genes was markedly altered in tumor tissue compared with that in normal tissue and that 19 of these genes also exhibited changes in sense gene expression. These results highlight the importance of NAT expression in the regulation

  1. Lectin cDNA and transgenic plants derived therefrom

    Science.gov (United States)

    Raikhel, Natasha V.

    2000-10-03

    Transgenic plants containing cDNA encoding Gramineae lectin are described. The plants preferably contain cDNA coding for barley lectin and store the lectin in the leaves. The transgenic plants, particularly the leaves exhibit insecticidal and fungicidal properties.

  2. Genome-scale cluster analysis of replicated microarrays using shrinkage correlation coefficient

    OpenAIRE

    Loraine Ann; Hung Yeung; Salmi Mari L; Chang Chunqi; Yao Jianchao; Roux Stanley J

    2008-01-01

    Abstract Background Currently, clustering with some form of correlation coefficient as the gene similarity metric has become a popular method for profiling genomic data. The Pearson correlation coefficient and the standard deviation (SD)-weighted correlation coefficient are the two most widely-used correlations as the similarity metrics in clustering microarray data. However, these two correlations are not optimal for analyzing replicated microarray data generated by most laboratories. An eff...

  3. Quality control in microarray assessment of gene expression in human airway epithelium

    OpenAIRE

    Attiyeh Marc A; Harvey Ben-Gary; Wang Wei; Hackett Neil R; O'Connor Timothy P; Raman Tina; Dang David T; Teater Matthew; Crystal Ronald G

    2009-01-01

    Abstract Background Microarray technology provides a powerful tool for defining gene expression profiles of airway epithelium that lend insight into the pathogenesis of human airway disorders. The focus of this study was to establish rigorous quality control parameters to ensure that microarray assessment of the airway epithelium is not confounded by experimental artifact. Samples (total n = 223) of trachea, large and small airway epithelium were collected by fiberoptic bronchoscopy of 144 in...

  4. Can subtle changes in gene expression be consistently detected with different microarray platforms?

    OpenAIRE

    Kuiper Rowan; de Hollander Mattias; Ariyurek Yavuz; Vossen Rolf HAM; Schenk Geert J; Vreugdenhil Erno; 't Hoen Peter AC; Pedotti Paola; van Ommen Gertjan JB; den Dunnen Johan T; Boer Judith M; Menezes Renée X

    2008-01-01

    Abstract Background The comparability of gene expression data generated with different microarray platforms is still a matter of concern. Here we address the performance and the overlap in the detection of differentially expressed genes for five different microarray platforms in a challenging biological context where differences in gene expression are few and subtle. Results Gene expression profiles in the hippocampus of five wild-type and five transgenic δC-doublecortin-like kinase mice were...

  5. A post-processing method for optimizing synthesis strategy for oligonucleotide microarrays

    OpenAIRE

    Ning, Kang; Choi, Kwok Pui; Leong, Hon Wai; Zhang, Louxin

    2005-01-01

    The broad applicability of gene expression profiling to genomic analyses has generated huge demand for mass production of microarrays and hence for improving the cost effectiveness of microarray fabrication. We developed a post-processing method for deriving a good synthesis strategy. In this paper, we assessed all the known efficient methods and our post-processing method for reducing the number of synthesis cycles for manufacturing a DNA-chip of a given set of oligos. Our experimental resul...

  6. Extraction of Spots in DNA Microarrays Using Genetic Algorithm

    Directory of Open Access Journals (Sweden)

    A. Sreedevi

    2013-12-01

    Full Text Available DNA microarray technology is an eminent tool for ge nomic studies. Accurate extraction of spots is a crucial issue since biological interpretations depe nd on it. The image analysis starts with the format ion of grid, which is a laborious process requiring human intervention. This paper presents a method for opti mal search of the spots using genetic algorithm without formation of grid. The information of every spot i s extracted by obtaining a pixel belonging to that sp ot. The method developed selects pixels of high int ensity in the image, thereby spot is recognized. The objec tive function, which is implemented, helps in ident ifying the exact pixel. The algorithm is applied to differ ent sizes of sub images and features of the spots a re obtained. It is found that there is a tradeoff betw een accuracy in the number of spots identified and time required for processing the image. Segmentation pro cess is independent of shape, size and location of the spots. Background estimation is one step process as both foreground and complete spot are realized. Coding of the proposed algorithm is developed in MA TLAB-7 and applied to cDNA microarray images. This approach provides reliable results for identif ication of even low intensity spots and elimination of spurious spots.

  7. DNA microarray profiling of a diverse collection of nosocomial methicillin-resistant staphylococcus aureus isolates assigns the majority to the correct sequence type and staphylococcal cassette chromosome mec (SCCmec) type and results in the subsequent identification and characterization of novel SCCmec-SCCM1 composite islands.

    LENUS (Irish Health Repository)

    Shore, Anna C

    2012-10-01

    One hundred seventy-five isolates representative of methicillin-resistant Staphylococcus aureus (MRSA) clones that predominated in Irish hospitals between 1971 and 2004 and that previously underwent multilocus sequence typing (MLST) and staphylococcal cassette chromosome mec (SCCmec) typing were characterized by spa typing (175 isolates) and DNA microarray profiling (107 isolates). The isolates belonged to 26 sequence type (ST)-SCCmec types and subtypes and 35 spa types. The array assigned all isolates to the correct MLST clonal complex (CC), and 94% (100\\/107) were assigned an ST, with 98% (98\\/100) correlating with MLST. The array assigned all isolates to the correct SCCmec type, but subtyping of only some SCCmec elements was possible. Additional SCCmec\\/SCC genes or DNA sequence variation not detected by SCCmec typing was detected by array profiling, including the SCC-fusidic acid resistance determinant Q6GD50\\/fusC. Novel SCCmec\\/SCC composite islands (CIs) were detected among CC8 isolates and comprised SCCmec IIA-IIE, IVE, IVF, or IVg and a ccrAB4-SCC element with 99% DNA sequence identity to SCC(M1) from ST8\\/t024-MRSA, SCCmec VIII, and SCC-CI in Staphylococcus epidermidis. The array showed that the majority of isolates harbored one or more superantigen (94%; 100\\/107) and immune evasion cluster (91%; 97\\/107) genes. Apart from fusidic acid and trimethoprim resistance, the correlation between isolate antimicrobial resistance phenotype and the presence of specific resistance genes was ≥97%. Array profiling allowed high-throughput, accurate assignment of MRSA to CCs\\/STs and SCCmec types and provided further evidence of the diversity of SCCmec\\/SCC. In most cases, array profiling can accurately predict the resistance phenotype of an isolate.

  8. Simplified Microarray Technique for Identifying mRNA in Rare Samples

    Science.gov (United States)

    Almeida, Eduardo; Kadambi, Geeta

    2007-01-01

    Two simplified methods of identifying messenger ribonucleic acid (mRNA), and compact, low-power apparatuses to implement the methods, are at the proof-of-concept stage of development. These methods are related to traditional methods based on hybridization of nucleic acid, but whereas the traditional methods must be practiced in laboratory settings, these methods could be practiced in field settings. Hybridization of nucleic acid is a powerful technique for detection of specific complementary nucleic acid sequences, and is increasingly being used for detection of changes in gene expression in microarrays containing thousands of gene probes. A traditional microarray study entails at least the following six steps: 1. Purification of cellular RNA, 2. Amplification of complementary deoxyribonucleic acid [cDNA] by polymerase chain reaction (PCR), 3. Labeling of cDNA with fluorophores of Cy3 (a green cyanine dye) and Cy5 (a red cyanine dye), 4. Hybridization to a microarray chip, 5. Fluorescence scanning the array(s) with dual excitation wavelengths, and 6. Analysis of the resulting images. This six-step procedure must be performed in a laboratory because it requires bulky equipment.

  9. Thermodynamics of competitive surface adsorption on DNA microarrays

    International Nuclear Information System (INIS)

    Gene microarrays provide a powerful functional genomics technology which permits the expression profiling of tens of thousands of genes in parallel. The basic idea of their functioning is based on the sequence specificity of probe-target interactions combined with fluorescence detection. In reality, this straightforward principle is opposed by the complexity of the experimental system due to imperfections of chip fabrication and RNA preparation, due to the non-linearity of the probe response and especially due to competitive interactions which are inherently connected with the high throughput character of the method. We theoretically analysed aspects of the hybridization of DNA oligonucleotide probes with a complex multicomponent mixture of RNA fragments, such as the effect of different interactions between nucleotide strands competing with the formation of specific duplexes, electrostatic and entropic blocking, the fragmentation of the RNA, the incomplete synthesis of the probes and 'zipping' effects in the oligonucleotide duplexes. The effective hybridization affinities of microarray probes are considerably smaller than those for bulk hybridization owing to the effects discussed, but they correlate well with the bulk data on a relative scale. In general, the hybridization isotherms of microarray probes are shown to deviate from a Langmuir-type behaviour. Nevertheless isotherms of the Langmuir or Sips type are predicted to provide a relatively simple description of the non-linear, probe-specific concentration dependence of the signal intensity of microarray probes

  10. How Can Microarrays Unlock Asthma?

    Directory of Open Access Journals (Sweden)

    Alen Faiz

    2012-01-01

    Full Text Available Asthma is a complex disease regulated by the interplay of a large number of underlying mechanisms which contribute to the overall pathology. Despite various breakthroughs identifying genes related to asthma, our understanding of the importance of the genetic background remains limited. Although current therapies for asthma are relatively effective, subpopulations of asthmatics do not respond to these regimens. By unlocking the role of these underlying mechanisms, a source of novel and more effective treatments may be identified. In the new age of high-throughput technologies, gene-expression microarrays provide a quick and effective method of identifying novel genes and pathways, which would be impossible to discover using an individual gene screening approach. In this review we follow the history of expression microarray technologies and describe their contributions to advancing our current knowledge and understanding of asthma pathology.

  11. EFFECTS OF TEMPERATURE ON GENE EXPRESSION PATTERNS IN LEPTOSPIRA INTERROGANS SEROVAR LAI AS ASSESSED BY WHOLE-GENOME MICROARRAYS

    Science.gov (United States)

    The availability of genome sequences for two serovars of Leptospira interrogans, Lai and Copenhageni, has opened up opportunities to examine global transcription profiles using microarray technology. Temperature is a key environmental factor, which is known to affect leptospiral protein expression....

  12. A salmonid EST genomic study: genes, duplications, phylogeny and microarrays

    Directory of Open Access Journals (Sweden)

    Brahmbhatt Sonal

    2008-11-01

    Full Text Available Abstract Background Salmonids are of interest because of their relatively recent genome duplication, and their extensive use in wild fisheries and aquaculture. A comprehensive gene list and a comparison of genes in some of the different species provide valuable genomic information for one of the most widely studied groups of fish. Results 298,304 expressed sequence tags (ESTs from Atlantic salmon (69% of the total, 11,664 chinook, 10,813 sockeye, 10,051 brook trout, 10,975 grayling, 8,630 lake whitefish, and 3,624 northern pike ESTs were obtained in this study and have been deposited into the public databases. Contigs were built and putative full-length Atlantic salmon clones have been identified. A database containing ESTs, assemblies, consensus sequences, open reading frames, gene predictions and putative annotation is available. The overall similarity between Atlantic salmon ESTs and those of rainbow trout, chinook, sockeye, brook trout, grayling, lake whitefish, northern pike and rainbow smelt is 93.4, 94.2, 94.6, 94.4, 92.5, 91.7, 89.6, and 86.2% respectively. An analysis of 78 transcript sets show Salmo as a sister group to Oncorhynchus and Salvelinus within Salmoninae, and Thymallinae as a sister group to Salmoninae and Coregoninae within Salmonidae. Extensive gene duplication is consistent with a genome duplication in the common ancestor of salmonids. Using all of the available EST data, a new expanded salmonid cDNA microarray of 32,000 features was created. Cross-species hybridizations to this cDNA microarray indicate that this resource will be useful for studies of all 68 salmonid species. Conclusion An extensive collection and analysis of salmonid RNA putative transcripts indicate that Pacific salmon, Atlantic salmon and charr are 94–96% similar while the more distant whitefish, grayling, pike and smelt are 93, 92, 89 and 86% similar to salmon. The salmonid transcriptome reveals a complex history of gene duplication that is

  13. Gene expression profiling in chemoresistant variants of three cell lines of different origin

    DEFF Research Database (Denmark)

    Johnsson, Anders; Vallon-Christensson, Johan; Strand, Carina;

    2005-01-01

    BACKGROUND: Drug resistance is a major problem in clinical cancer chemotherapy. Several mechanisms of resistance have been identified, but the underlying genomic changes are still poorly understood. MATERIALS AND METHODS: Gene expression profiling, using cDNA microarray, was performed in eight cell...... lines (K562 leukemia, MCF-7 breast cancer and S1 colon cancer) with acquired resistance against five cytostatic drugs; daunorubicin (DNR), doxorubicin (DOX), vincristine (VCR), etoposide (VP) and mitoxantrone (MX). RESULTS: The resistant cell lines clustered together based on their type of origin....... Several genes encoding ABC transporters were highly up-regulated, most notably ABCB1 (MDR1) and ABCB4 in several cell lines and ABCG2 (MXR) specifically in MX-resistant cell lines. A pronounced down-regulation of several histones was noted in the MCF-7-derived resistant sublines. Altered expression was...

  14. MicroArray Facility: a laboratory information management system with extended support for Nylon based technologies

    Directory of Open Access Journals (Sweden)

    Beaudoing Emmanuel

    2006-09-01

    Full Text Available Abstract Background High throughput gene expression profiling (GEP is becoming a routine technique in life science laboratories. With experimental designs that repeatedly span thousands of genes and hundreds of samples, relying on a dedicated database infrastructure is no longer an option. GEP technology is a fast moving target, with new approaches constantly broadening the field diversity. This technology heterogeneity, compounded by the informatics complexity of GEP databases, means that software developments have so far focused on mainstream techniques, leaving less typical yet established techniques such as Nylon microarrays at best partially supported. Results MAF (MicroArray Facility is the laboratory database system we have developed for managing the design, production and hybridization of spotted microarrays. Although it can support the widely used glass microarrays and oligo-chips, MAF was designed with the specific idiosyncrasies of Nylon based microarrays in mind. Notably single channel radioactive probes, microarray stripping and reuse, vector control hybridizations and spike-in controls are all natively supported by the software suite. MicroArray Facility is MIAME supportive and dynamically provides feedback on missing annotations to help users estimate effective MIAME compliance. Genomic data such as clone identifiers and gene symbols are also directly annotated by MAF software using standard public resources. The MAGE-ML data format is implemented for full data export. Journalized database operations (audit tracking, data anonymization, material traceability and user/project level confidentiality policies are also managed by MAF. Conclusion MicroArray Facility is a complete data management system for microarray producers and end-users. Particular care has been devoted to adequately model Nylon based microarrays. The MAF system, developed and implemented in both private and academic environments, has proved a robust solution for

  15. Transcriptome analysis of zebrafish embryogenesis using microarrays.

    Directory of Open Access Journals (Sweden)

    Sinnakaruppan Mathavan

    2005-08-01

    Full Text Available Zebrafish (Danio rerio is a well-recognized model for the study of vertebrate developmental genetics, yet at the same time little is known about the transcriptional events that underlie zebrafish embryogenesis. Here we have employed microarray analysis to study the temporal activity of developmentally regulated genes during zebrafish embryogenesis. Transcriptome analysis at 12 different embryonic time points covering five different developmental stages (maternal, blastula, gastrula, segmentation, and pharyngula revealed a highly dynamic transcriptional profile. Hierarchical clustering, stage-specific clustering, and algorithms to detect onset and peak of gene expression revealed clearly demarcated transcript clusters with maximum gene activity at distinct developmental stages as well as co-regulated expression of gene groups involved in dedicated functions such as organogenesis. Our study also revealed a previously unidentified cohort of genes that are transcribed prior to the mid-blastula transition, a time point earlier than when the zygotic genome was traditionally thought to become active. Here we provide, for the first time to our knowledge, a comprehensive list of developmentally regulated zebrafish genes and their expression profiles during embryogenesis, including novel information on the temporal expression of several thousand previously uncharacterized genes. The expression data generated from this study are accessible to all interested scientists from our institute resource database (http://giscompute.gis.a-star.edu.sg/~govind/zebrafish/data_download.html.

  16. 用cDNA微阵列芯片检测苯中毒细胞色素P450基因表达差异%Analysis on differential expression profile of cytochrome P450 genes in benzene poisoning cells using cDNA microarray

    Institute of Scientific and Technical Information of China (English)

    徐持华; 张国梁; 赵职卫; 夏颖; 张秋萍; 毕勇毅

    2006-01-01

    目的利用cDNA芯片技术检测苯中毒细胞色素P450的基因表达谱差异.方法选取7名诊断为不同程度接苯中毒的工人(疑似1例、轻度2例、中度2例和重度2例),并设年龄、工龄匹配的健康者做对照,分离外周血白细胞,用Trizol试剂盒抽提总RNA,纯化、逆转录生成cDNA产物,分别用荧光染料Cy3和Cy5标记后与含32条细胞色素P450基因的微阵列芯片进行杂交.结果共有6条细胞色素P450基因呈差异性表达,包括CYP4F3、CYP1A1、CYP27A1、CYP1B1、CYP2B6、CYP51,其中CYP4F3基因在所有苯中毒工人中均表达上调.结论苯中毒工人细胞色素P450基因的表达异常可能在苯诱导的血液毒性中起重要作用.

  17. 棉花功能基因组学:亚洲棉纤维dbEST和cDNA微阵列表达谱的研究%Cotton Functional Genomics: Lessons Learned from the Gossypium arboreum L. Fiber dbEST and Expression Profiling using cDNA Microarrays

    Institute of Scientific and Technical Information of China (English)

    Thea A. WILKINS; A. Bulak ARPAT

    2002-01-01

    @@ Over the last decade, no more than 50 cotton fiber genes have been described in the literature.However, our view of the molecular basis of the cotton fiber has changed dramatically in just a few short years as a direct result of highthroughput EST sequencing projects. As part of the NSF Cotton Genome Project, a fiber dbEST containing > 36000 sequences was generated from expanding cotton fibers isolated from the A-genome diploid species, Gossypium arboreum.

  18. Microarray analysis in the archaeon Halobacterium salinarum strain R1.

    Directory of Open Access Journals (Sweden)

    Jens Twellmeyer

    Full Text Available BACKGROUND: Phototrophy of the extremely halophilic archaeon Halobacterium salinarum was explored for decades. The research was mainly focused on the expression of bacteriorhodopsin and its functional properties. In contrast, less is known about genome wide transcriptional changes and their impact on the physiological adaptation to phototrophy. The tool of choice to record transcriptional profiles is the DNA microarray technique. However, the technique is still rarely used for transcriptome analysis in archaea. METHODOLOGY/PRINCIPAL FINDINGS: We developed a whole-genome DNA microarray based on our sequence data of the Hbt. salinarum strain R1 genome. The potential of our tool is exemplified by the comparison of cells growing under aerobic and phototrophic conditions, respectively. We processed the raw fluorescence data by several stringent filtering steps and a subsequent MAANOVA analysis. The study revealed a lot of transcriptional differences between the two cell states. We found that the transcriptional changes were relatively weak, though significant. Finally, the DNA microarray data were independently verified by a real-time PCR analysis. CONCLUSION/SIGNIFICANCE: This is the first DNA microarray analysis of Hbt. salinarum cells that were actually grown under phototrophic conditions. By comparing the transcriptomics data with current knowledge we could show that our DNA microarray tool is well applicable for transcriptome analysis in the extremely halophilic archaeon Hbt. salinarum. The reliability of our tool is based on both the high-quality array of DNA probes and the stringent data handling including MAANOVA analysis. Among the regulated genes more than 50% had unknown functions. This underlines the fact that haloarchaeal phototrophy is still far away from being completely understood. Hence, the data recorded in this study will be subject to future systems biology analysis.

  19. Microarray-Based Differential Expression Monitoring of 79 Novel Genes in Human Fetal Tissues

    Institute of Scientific and Technical Information of China (English)

    Ma; Shu-hua; Wang; Dun-cheng; 等

    2003-01-01

    79 ESTs fragments with represents corresponding novel genes were obtained by sequencing and bioinformatics analysis of human fetal kidney cDNA library. Microarray was prepared by using these novel EST fragments by automatic spotting. Expression patters of 79 ESTs of novel genes from human fetal kidney were analyzed in fetal brain and fetal heart tissues of 20-week-and 26-week-age fetus by performing of cDNA chip hybridization. This provides clues for studying exact functions of the novel genes. 8 genes were obtained which were expressed differentially in the fetal brain and heart of 20-week-and 26-week-age respectively. Then differentially expressed genes were identified by Northern analysis. The more exact function of the novel genes is under study.

  20. High quality protein microarray using in situ protein purification

    Directory of Open Access Journals (Sweden)

    Fleischmann Robert D

    2009-08-01

    Full Text Available Abstract Background In the postgenomic era, high throughput protein expression and protein microarray technologies have progressed markedly permitting screening of therapeutic reagents and discovery of novel protein functions. Hexa-histidine is one of the most commonly used fusion tags for protein expression due to its small size and convenient purification via immobilized metal ion affinity chromatography (IMAC. This purification process has been adapted to the protein microarray format, but the quality of in situ His-tagged protein purification on slides has not been systematically evaluated. We established methods to determine the level of purification of such proteins on metal chelate-modified slide surfaces. Optimized in situ purification of His-tagged recombinant proteins has the potential to become the new gold standard for cost-effective generation of high-quality and high-density protein microarrays. Results Two slide surfaces were examined, chelated Cu2+ slides suspended on a polyethylene glycol (PEG coating and chelated Ni2+ slides immobilized on a support without PEG coating. Using PEG-coated chelated Cu2+ slides, consistently higher purities of recombinant proteins were measured. An optimized wash buffer (PBST composed of 10 mM phosphate buffer, 2.7 mM KCl, 140 mM NaCl and 0.05% Tween 20, pH 7.4, further improved protein purity levels. Using Escherichia coli cell lysates expressing 90 recombinant Streptococcus pneumoniae proteins, 73 proteins were successfully immobilized, and 66 proteins were in situ purified with greater than 90% purity. We identified several antigens among the in situ-purified proteins via assays with anti-S. pneumoniae rabbit antibodies and a human patient antiserum, as a demonstration project of large scale microarray-based immunoproteomics profiling. The methodology is compatible with higher throughput formats of in vivo protein expression, eliminates the need for resin-based purification and circumvents

  1. Investigating amoebic pathogenesis using Entamoeba histolytica DNA microarrays

    Indian Academy of Sciences (India)

    Upinder Singh; Preetam Shah

    2002-11-01

    Entamoeba histolytica, a protozoan parasite, causes diarrhea and liver abscesses resulting in 50 million cases of infection worldwide annually. Elucidation of parasite virulence determinants has recently been investigated using genetic approaches. We have undertaken a genomics approach to identify novel virulence determinants in the parasite. A DNA microarray of E. histolytica is being developed based on sequenced genomic clones from the genome sequencing efforts of The Institute of Genomic Research (TIGR) and the Sanger Center. Hybridization of the slides with samples labelled differentially using fluorescent dyes allows the characterization of transcriptional profiles of genes under the biological conditions tested. Additionally, a genome-wide comparison of E. histolytica and E. dispar can be undertaken. The development of an E. histolytica microarray will be outlined and its uses in identifying novel virulence determinants and characterizing amoebic biology will be discussed.

  2. R/BHC: fast Bayesian hierarchical clustering for microarray data

    Directory of Open Access Journals (Sweden)

    Grant Murray

    2009-08-01

    Full Text Available Abstract Background Although the use of clustering methods has rapidly become one of the standard computational approaches in the literature of microarray gene expression data analysis, little attention has been paid to uncertainty in the results obtained. Results We present an R/Bioconductor port of a fast novel algorithm for Bayesian agglomerative hierarchical clustering and demonstrate its use in clustering gene expression microarray data. The method performs bottom-up hierarchical clustering, using a Dirichlet Process (infinite mixture to model uncertainty in the data and Bayesian model selection to decide at each step which clusters to merge. Conclusion Biologically plausible results are presented from a well studied data set: expression profiles of A. thaliana subjected to a variety of biotic and abiotic stresses. Our method avoids several limitations of traditional methods, for example how many clusters there should be and how to choose a principled distance metric.

  3. Microarray and Proteomic Analysis of Brassinosteroid- and Gibberellin-Regulated Gene and Protein Expression in Rice

    Institute of Scientific and Technical Information of China (English)

    Guangxiao Yang; Setsuko Komatsu

    2004-01-01

    Brassinosteroid (BR) and gibberellin (GA) are two groups of plant growth regulators essential for normal plant growth and development. To gain insight into the molecular mechanism by which BR and GA regulate the growth and development of plants, especially the monocot plant rice, it is necessary to identify and analyze more genes and proteins that are regulated by them. With the availability of draft sequences of two major types, japonica and indica rice, it has become possible to analyze expression changes of genes and proteins at genome scale. In this review, we summarize rice functional genomic research by using microarray and proteomic approaches and our recent research results focusing on the comparison of cDNA microarray and proteomic analyses of BR- and GA-regulated gene and protein expression in rice. We believe our findings have important implications for understanding the mechanism by which BR and GA regulate the growth and development of rice.

  4. Construction of metastatic spinal cancer tissue microarrays

    Institute of Scientific and Technical Information of China (English)

    Yang Xinghai; Chen Huajiang; Xiao Jianru; Yuan Wen; Jia Lianshun

    2009-01-01

    Objective: To explore the construction of metastatic spinal cancer (MSC) tissue microarrays and validate its value in immunohistochemical study of MSC. Methods: Paraffin-embedded specimens from 71 MSC cases and 6 primary tumor cases were selected as donor blocks and prepared into MSC tissue microarrays by tissue array arrangement, the steps of which included location, punching, sampling, sample seeding, and re-diagnosis by hematoxylin-eosin (HE) as well as MMP-9 and MMP-14 immunohistochemical staining. Results: The MSC tissue microarrays thus constructed were intact and crackless, containing 154 complete and well arranged microarray points. None of the sectioned tissue microarrays was lost, and the results of HE staining was consistent with the primary pathologic diagnoses. Immunohistochemical staining was also good without non-specific or marginal effect. Conclusion: The MSC tissue microarrays have a high value in the immunohistochemical study of MSC.

  5. Integrated Amplification Microarrays for Infectious Disease Diagnostics

    Directory of Open Access Journals (Sweden)

    Darrell P. Chandler

    2012-11-01

    Full Text Available This overview describes microarray-based tests that combine solution-phase amplification chemistry and microarray hybridization within a single microfluidic chamber. The integrated biochemical approach improves microarray workflow for diagnostic applications by reducing the number of steps and minimizing the potential for sample or amplicon cross-contamination. Examples described herein illustrate a basic, integrated approach for DNA and RNA genomes, and a simple consumable architecture for incorporating wash steps while retaining an entirely closed system. It is anticipated that integrated microarray biochemistry will provide an opportunity to significantly reduce the complexity and cost of microarray consumables, equipment, and workflow, which in turn will enable a broader spectrum of users to exploit the intrinsic multiplexing power of microarrays for infectious disease diagnostics.

  6. Genomic resources for Myzus persicae: EST sequencing, SNP identification, and microarray design

    Directory of Open Access Journals (Sweden)

    Malloch Gaynor

    2007-11-01

    Full Text Available Abstract Background The green peach aphid, Myzus persicae (Sulzer, is a world-wide insect pest capable of infesting more than 40 plant families, including many crop species. However, despite the significant damage inflicted by M. persicae in agricultural systems through direct feeding damage and by its ability to transmit plant viruses, limited genomic information is available for this species. Results Sequencing of 16 M. persicae cDNA libraries generated 26,669 expressed sequence tags (ESTs. Aphids for library construction were raised on Arabidopsis thaliana, Nicotiana benthamiana, Brassica oleracea, B. napus, and Physalis floridana (with and without Potato leafroll virus infection. The M. persicae cDNA libraries include ones made from sexual and asexual whole aphids, guts, heads, and salivary glands. In silico comparison of cDNA libraries identified aphid genes with tissue-specific expression patterns, and gene expression that is induced by feeding on Nicotiana benthamiana. Furthermore, 2423 genes that are novel to science and potentially aphid-specific were identified. Comparison of cDNA data from three aphid lineages identified single nucleotide polymorphisms that can be used as genetic markers and, in some cases, may represent functional differences in the protein products. In particular, non-conservative amino acid substitutions in a highly expressed gut protease may be of adaptive significance for M. persicae feeding on different host plants. The Agilent eArray platform was used to design an M. persicae oligonucleotide microarray representing over 10,000 unique genes. Conclusion New genomic resources have been developed for M. persicae, an agriculturally important insect pest. These include previously unknown sequence data, a collection of expressed genes, molecular markers, and a DNA microarray that can be used to study aphid gene expression. These resources will help elucidate the adaptations that allow M. persicae to develop compatible

  7. Application of Oligonucleotide Microarrays for Bacterial Source Tracking of Environmental Enterococcus sp. Isolates

    Directory of Open Access Journals (Sweden)

    John S. Furey

    2005-04-01

    Full Text Available In an effort towards adapting new and defensible methods for assessing and managing the risk posed by microbial pollution, we evaluated the utility of oligonucleotide microarrays for bacterial source tracking (BST of environmental Enterococcus sp. isolates derived from various host sources. Current bacterial source tracking approaches rely on various phenotypic and genotypic methods to identify sources of bacterial contamination resulting from point or non-point pollution. For this study Enterococcus sp. isolates originating from deer, bovine, gull, and human sources were examined using microarrays. Isolates were subjected to Box PCR amplification and the resulting amplification products labeled with Cy5. Fluorescent-labeled templates were hybridized to in-house constructed nonamer oligonucleotide microarrays consisting of 198 probes. Microarray hybridization profiles were obtained using the ArrayPro image analysis software. Principal Components Analysis (PCA and Hierarchical Cluster Analysis (HCA were compared for their ability to visually cluster microarray hybridization profiles based on the environmental source from which the Enterococcus sp. isolates originated. The PCA was visually superior at separating origin-specific clusters, even for as few as 3 factors. A Soft Independent Modeling (SIM classification confirmed the PCA, resulting in zero misclassifications using 5 factors for each class. The implication of these results for the application of random oligonucleotide microarrays for BST is that, given the reproducibility issues, factor-based variable selection such as in PCA and SIM greatly outperforms dendrogram-based similarity measures such as in HCA and K-Nearest Neighbor KNN.

  8. In silico design and performance of peptide microarrays for breast cancer tumour-auto-antibody testing

    Directory of Open Access Journals (Sweden)

    Andreas Weinhäusel

    2012-06-01

    Full Text Available The simplicity and potential of minimally invasive testing using sera from patients makes auto-antibody based biomarkers a very promising tool for use in cancer diagnostics. Protein microarrays have been used for the identification of such auto-antibody signatures. Because high throughput protein expression and purification is laborious, synthetic peptides might be a good alternative for microarray generation and multiplexed analyses. In this study, we designed 1185 antigenic peptides, deduced from proteins expressed by 642 cDNA expression clones found to be sero-reactive in both breast tumour patients and controls. The sero-reactive proteins and the corresponding peptides were used for the production of protein and peptide microarrays. Serum samples from females with benign and malignant breast tumours and healthy control sera (n=16 per group were then analysed. Correct classification of the serum samples on peptide microarrays were 78% for discrimination of ‘malignant versus healthy controls’, 72% for ‘benign versus malignant’ and 94% for ‘benign versus controls’. On protein arrays, correct classification for these contrasts was 69%, 59% and 59%, respectively. The over-representation analysis of the classifiers derived from class prediction showed enrichment of genes associated with ribosomes, spliceosomes, endocytosis and the pentose phosphate pathway. Sequence analyses of the peptides with the highest sero-reactivity demonstrated enrichment of the zinc-finger domain. Peptides’ sero-reactivities were found negatively correlated with hydrophobicity and positively correlated with positive charge, high inter-residue protein contact energies and a secondary structure propensity bias. This study hints at the possibility of using in silico designed antigenic peptide microarrays as an alternative to protein microarrays for the improvement of tumour auto-antibody based diagnostics.

  9. Comprehensive comparison of six microarray technologies

    OpenAIRE

    Yauk, Carole L.; Berndt, M. Lynn; Williams, Andrew; Douglas, George R

    2004-01-01

    Microarray technology is extensively used in biological research. The applied technologies vary greatly between laboratories, and outstanding questions remain regarding the degree of correlation among approaches. Recently, there has been a drive toward ensuring high-quality microarray data by the implementation of MIAME (Minimal Information About a Microarray Experiment) guidelines and an emphasis on ensuring public-availability to all datasets. However, despite its current widespread use and...

  10. Integrating data from heterogeneous DNA microarray platforms

    OpenAIRE

    Valente, Eduardo; Rocha, Miguel

    2015-01-01

    DNA microarrays are one of the most used technologies for gene expression measurement. However, there are several distinct microarray platforms, from different manufacturers, each with its own measurement protocol, resulting in data that can hardly be compared or directly integrated. Data integration from multiple sources aims to improve the assertiveness of statistical tests, reducing the data dimensionality problem. The integration of heterogeneous DNA microarray platforms comprehends a set...

  11. Construction of cDNA Library from Populus euphratica

    Institute of Scientific and Technical Information of China (English)

    Yu Guangjun; Wang Yiqin; Shen Xin

    2003-01-01

    In order to isolate and clone salt-tolerance involved genes of Populus euphratica, we constructed a cDNA library from salt-treated leaves of P. euphratica. In the experiment, double strand cDNA were synthesized by a beads-based method. The syntheses of the first strand and the second strand cDNA, adapter ligation and restriction reaction for releasing cDNA were all conducted on the beads. The double strand cDNA were released from magnetic beads by digestion with NotI, and cDNA fragments smaller than 500 bp and residual adapters were removed through cDNA size fractionation columns. Finally, double strand cDNA were directionally cloned intoλExcell vector. The results show that the primary titer of the cDNA library is 7.46×106 pfu per mL and the packaging efficiency reaches 1.47×107 recombinants per μg DNA. λDNA extracted from two clones of plaque were digested by EcoR I and NotI, both of the clones contained inserts larger than 900 bp. These results show that the cDNA library of salt-treated P. euphratica leaves has been successfully constructed.

  12. Transcriptome sequencing of the Microarray Quality Control (MAQC RNA reference samples using next generation sequencing

    Directory of Open Access Journals (Sweden)

    Thierry-Mieg Danielle

    2009-06-01

    Full Text Available Abstract Background Transcriptome sequencing using next-generation sequencing platforms will soon be competing with DNA microarray technologies for global gene expression analysis. As a preliminary evaluation of these promising technologies, we performed deep sequencing of cDNA synthesized from the Microarray Quality Control (MAQC reference RNA samples using Roche's 454 Genome Sequencer FLX. Results We generated more that 3.6 million sequence reads of average length 250 bp for the MAQC A and B samples and introduced a data analysis pipeline for translating cDNA read counts into gene expression levels. Using BLAST, 90% of the reads mapped to the human genome and 64% of the reads mapped to the RefSeq database of well annotated genes with e-values ≤ 10-20. We measured gene expression levels in the A and B samples by counting the numbers of reads that mapped to individual RefSeq genes in multiple sequencing runs to evaluate the MAQC quality metrics for reproducibility, sensitivity, specificity, and accuracy and compared the results with DNA microarrays and Quantitative RT-PCR (QRTPCR from the MAQC studies. In addition, 88% of the reads were successfully aligned directly to the human genome using the AceView alignment programs with an average 90% sequence similarity to identify 137,899 unique exon junctions, including 22,193 new exon junctions not yet contained in the RefSeq database. Conclusion Using the MAQC metrics for evaluating the performance of gene expression platforms, the ExpressSeq results for gene expression levels showed excellent reproducibility, sensitivity, and specificity that improved systematically with increasing shotgun sequencing depth, and quantitative accuracy that was comparable to DNA microarrays and QRTPCR. In addition, a careful mapping of the reads to the genome using the AceView alignment programs shed new light on the complexity of the human transcriptome including the discovery of thousands of new splice variants.

  13. Characterization of adjacent breast tumors using oligonucleotide microarrays

    International Nuclear Information System (INIS)

    Current methodology often cannot distinguish second primary breast cancers from multifocal disease, a potentially important distinction for clinical management. In the present study we evaluated the use of oligonucleotide-based microarray analysis in determining the clonality of tumors by comparing gene expression profiles. Total RNA was extracted from two tumors with no apparent physical connection that were located in the right breast of an 87-year-old woman diagnosed with invasive ductal carcinoma (IDC). The RNA was hybridized to the Affymetrix Human Genome U95A Gene Chip® (12,500 known human genes) and analyzed using the Gene Chip Analysis Suite® 3.3 (Affymetrix, Inc, Santa Clara, CA, USA) and JMPIN® 3.2.6 (SAS Institute, Inc, Cary, NC, USA). Gene expression profiles of tumors from five additional patients were compared in order to evaluate the heterogeneity in gene expression between tumors with similar clinical characteristics. The adjacent breast tumors had a pairwise correlation coefficient of 0.987, and were essentially indistinguishable by microarray analysis. Analysis of gene expression profiles from different individuals, however, generated a pairwise correlation coefficient of 0.710. Transcriptional profiling may be a useful diagnostic tool for determining tumor clonality and heterogeneity, and may ultimately impact on therapeutic decision making

  14. Hybridization kinetics analysis of an oligonucleotide microarray for microRNA detection

    Institute of Scientific and Technical Information of China (English)

    Botao Zhao; Shuo Ding; Wei Li; Youxin Jin

    2011-01-01

    MicroRNA (miRNA) microarrays have been successfully used for profiling miRNA expression in many physiological processes such as development, differentiation, oncogenesis,and other disease processes. Detecting miRNA by miRNA microarray is actually based on nucleic acid hybridization between target molecules and their corresponding complementary probes. Due to the small size and high degree of similarity among miRNA sequences, the hybridization condition must be carefully optimized to get specific and reliable signals. Previously, we reported a microarray platform to detect miRNA expression. In this study, we evaluated the sensitivity and specificity of our microarray platform. After systematic analysis, we determined an optimized hybridization condition with high sensitivity and specificity for miRNA detection. Our results would be helpful for other hybridization-based miRNA detection methods, such as northern blot and nuclease protection assay.

  15. Gene expression in retinoic acid-induced neural tube defects A cDNA mieroarray analysis

    Institute of Scientific and Technical Information of China (English)

    Xiaodong Long; Zhong Yang; Yi Zeng; Hongli Li; Yangyun Han; Chao You

    2009-01-01

    BACKGROUND: Neural tube defects can be induced by abnormal factors in vivo or in vitro during development. However, the molecular mechanisms of neural tube defect induction, and the related gene expression and regulation are still unknown.OBJECTIVE: To compare the differences in gene expression between normal embryos and those with neural tube defects.DESIGN, TIME AND SETTING: A neural development study was performed at the Department of Neurobiology, Third Military Medical University of Chinese PLA between January 2006 and October 2007.MATERIALS: Among 120 adult Kunming mice, 60 pregnant mice were randomly and evenly divided into a retinoic acid group (n = 30) and a normal control group (n =30). The retinoic acid was produced by Sigma, USA, the gene microarray by the Amersham Pharmacia Company, Hong Kong, and the gene sequence was provided by the Incyte database, USA.METHODS: Retinoic acid was administered to prepare models of neural tube defects, and corn oil was similady administered to the normal control group. Total RNA was extracted from embryonic tissue of the two groups using a Trizol kit, and a cDNA microarray containing 1 100 known genes was used to compare differences in gene expression between the normal control group and the retinoic acid group on embryonic (E) clay 10.5 and 11.5. Several differentially expressed genes were randomly selected from the two groups for Northern blotting, to verify the results of the cDNA microarray.MAIN OUTCOME MEASURES: Morphological changes and differential gene expression between the normal control group and the retinoic acid group.RESULTS: Anatomical microscopy demonstrated that an intact closure of the brain was formed in the normal mouse embryos by days E10.5 and E11.5. The cerebral appearance was full and smooth, and the surface of the spine was intact. However, in the retinoic acid group on days E10.5 and E11.5, there were more dead embryos. Morphological malformations typically included non-closure at the top of

  16. Purification, characterization, and cDNA cloning of opine dehydrogenases from the polychaete rockworm Marphysa sanguinea.

    Science.gov (United States)

    Endo, Noriyuki; Kan-no, Nobuhiro; Nagahisa, Eizoh

    2007-06-01

    Alanopine dehydrogenase (AlDH) and three isoforms of strombine/alanopine dehydrogenase (St/AlDH) were purified from muscle tissue of the polychaete rockworm Marphysa sanguinea. The four enzymes, which can be distinguished by the isoelectric point, are monomeric 42 kDa proteins, possess similar pH-activity profiles, and display specificity for pyruvate and NAD(H). The three isoforms of St/AlDH show equivalent Km and Vmax for glycine and L-alanine and for D-strombine and meso-alanopine. Free amino acid levels in the muscle and D-strombine accumulation in vivo during muscle activity suggest that St/AlDHs function physiologically as StDH. AlDH shows specificity for L-alanine and meso-alanopine, but not for glycine or D-strombine. The amino acid sequences of AlDH and one of the St/AlDH isoforms were determined by a combination of amino acid sequence analysis and cDNA cloning. St/AlDH cDNA consisted of 1586 bp nucleotides that encode a 399-residue protein (43,346.70 Da), and AlDH cDNA consisted of 1587 bp nucleotides that encode a 399-residue protein (43,886.68 Da). The two amino acid sequences deduced from the cDNA displayed 67% amino acid identity, with greatest similarity to that of tauropine dehydrogenase from the polychaete Arabella iricolor. PMID:17350870

  17. Cloning of Drosophila choline acetyltransferase cDNA.

    OpenAIRE

    Itoh, N; Slemmon, J.R.; Hawke, D.H.; Williamson, R.; Morita, E.; Itakura, K; Roberts, E; Shively, J. E.; Crawford, G D; Salvaterra, P M

    1986-01-01

    Choline acetyltransferase (EC 2.3.1.6) is the biosynthetic enzyme for the neurotransmitter acetylcholine. To isolate choline acetyltransferase cDNA clones, a cDNA library was constructed from poly(A)+ RNA of Drosophila melanogaster heads, these being one of the richest known sources of the enzyme. By screening the cDNA library with a mixture of three different monoclonal antibodies to Drosophila choline acetyltransferase, we isolated 14 positive clones. Only 1 of these clones was identified t...

  18. Perfil transcricional e resposta à quimioterapia neoadjuvante em câncer de mama Transcriptional profile and response to neoadjuvante chemotherapy in breast cancer

    Directory of Open Access Journals (Sweden)

    Maria Aparecida Azevedo Koike Folgueira

    2011-06-01

    Full Text Available OBJETIVO: Na tentativa de melhorar a acurácia dos modelos preditivos de resposta à quimioterapia neoadjuvante em câncer de mama, utilizou-se a tecnologia de cDNA microarray para determinar o perfil transcricional dos tumores. A avaliação de assinaturas gênicas, associadas à predição de resposta à quimioterapia neoadjuvante, é o objeto desta revisão. MÉTODOS: Foi realizada busca no banco de dados eletrônico http://www.ncbi.nlm.nih.gov/pubmed/, usando as palavras "breast cancer" AND "neoadjuvant/primary chemotherapy" AND "gene expression profile/microarray". Recuperaram-se 279 publicações, excluindo-se as repetições, selecionando-se para exposição aquelas consideradas mais relevantes pelos autores. RESULTADOS: O número de publicações acerca desse assunto vem crescendo ao longo dos anos, chegando a mais de 50 em 2010, abordando resposta a diferentes quimioterápicos como antraciclinas, taxanos, isoladamente ou em associação. Os primeiros estudos são do início da década passada e utilizaram plataformas de microarray produzidas pelos pesquisadores. Trabalhos mais recentes utilizam plataformas de microarray comerciais, cujos dados são depositados em bancos públicos, permitindo análise de um número maior de amostras. Foram identificados vários perfis transcricionais associados à resposta patológica completa. Outros autores utilizaram como desfecho a resposta clínica ao tratamento, determinando, nesse caso, um painel preditivo de resistência ao esquema quimioterápico em questão. Essa questão também é fundamental, pois pode contribuir para individualizar o tratamento, permitindo que pacientes resistentes a determinado agente quimioterápico sejam submetidos a outro esquema terapêutico. CONCLUSÃO: A identificação de pacientes responsivos à quimioterapia é de fundamental interesse e, apesar de passos importantes terem sido dados, o assunto merece estudos adicionais em vista de sua complexidade.OBJECTIVE: To

  19. Application of microarray technology in pulmonary diseases

    OpenAIRE

    Patlakas George; Tzouvelekis Argyris; Bouros Demosthenes

    2004-01-01

    Abstract Microarrays are a powerful tool that have multiple applications both in clinical and cell biology arenas of common lung diseases. To exemplify how this tool can be useful, in this review, we will provide an overview of the application of microarray technology in research relevant to common lung diseases and present some of the future perspectives.

  20. 5'-end sequences of budding yeast full-length cDNA clones - Budding yeast cDNA sequencing project | LSDB Archive [Life Science Database Archive metadata

    Lifescience Database Archive (English)

    Full Text Available Budding yeast cDNA sequencing project 5'-end sequences of budding yeast full-length cDNA clones Data detail Data name 5'-end sequence...s of budding yeast full-length cDNA clones Description of data contents cDNA sequence...e Update History of This Database Site Policy | Contact Us 5'-end sequences of budding yeast full-length cDNA clones - Budding yeast cDNA sequencing project | LSDB Archive ...

  1. Retrieving relevant experiments: The case of microRNA microarrays.

    Science.gov (United States)

    Açıcı, Koray; Terzi, Yunus Kasım; Oğul, Hasan

    2015-08-01

    Content-based retrieval of biological experiments in large public repositories is a recent challenge in computational biology and bioinformatics. The task is, in general, to search in a database using a query-by-example without any experimental meta-data annotation. Here, we consider a more specific problem that seeks a solution for retrieving relevant microRNA experiments from microarray repositories. A computational framework is proposed with this objective. The framework adapts a normal-uniform mixture model for identifying differentially expressed microRNAs in microarray profiling experiments. A rank-based thresholding scheme is offered to binarize real-valued experiment fingerprints based on differential expression. An effective similarity metric is introduced to compare categorical fingerprints, which in turn infers the relevance between two experiments. Two different views of experimental relevance are evaluated, one for disease association and another for embryonic germ layer, to discern the retrieval ability of the proposed model. To the best of our knowledge, the experiment retrieval task is investigated for the first time in the context of microRNA microarrays. PMID:26116091

  2. Microarray, SAGE and their applications to cardiovascular diseases

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    The wealth of DNA data generated by the human genome project coupling with recently invented high-throughput gene expression profiling techniques has dramatically sped up the process for biomedical researchers on elucidating the role of genes in human diseases. One powerful method to reveal insight into gene functions is the systematic analysis of gene expression. Two popular high-throughput gene expression technologies, microarray and Serial Analysis of Gene Expression (SAGE) are capable of producing large amounts of gene expression data with the potential of providing novel insights into fundamental disease processes, especially complex syndromes such as cardiovascular disease, whose etiologies are due to multiple genetic factors and their interplay with the environment. Microarray and SAGE have already been used to examine gene expression patterns of cell-culture, animal and human tissues models of cardiovascular diseases. In this review, we will first give a brief introduction of microarray and SAGE technologies and point out their limitations. We will then discuss the major discoveries and the new biological insightsthat have emerged from their applications to cardiovascular diseases. Finally we will touch upon potential challenges and future developments in this area.

  3. Carbohydrate Microarrays in Plant Science

    DEFF Research Database (Denmark)

    Fangel, Jonatan Ulrik; Pedersen, H.L.; Vidal-Melgosa, S.;

    2012-01-01

    Almost all plant cells are surrounded by glycan-rich cell walls, which form much of the plant body and collectively are the largest source of biomass on earth. Plants use polysaccharides for support, defense, signaling, cell adhesion, and as energy storage, and many plant glycans are also important...... industrially and nutritionally. Understanding the biological roles of plant glycans and the effective exploitation of their useful properties requires a detailed understanding of their structures, occurrence, and molecular interactions. Microarray technology has revolutionized the massively high...... plant research and can be used to map glycan populations across large numbers of samples to screen antibodies, carbohydrate binding proteins, and carbohydrate binding modules and to investigate enzyme activities....

  4. Microarray analysis of thioacetamide-treated type 1 diabetic rats

    International Nuclear Information System (INIS)

    It is well known that diabetes imparts high sensitivity to numerous hepatotoxicants. Previously, we have shown that a normally non-lethal dose of thioacetamide (TA, 300 mg/kg) causes 90% mortality in type 1 diabetic (DB) rats due to inhibited tissue repair allowing progression of liver injury. On the other hand, DB rats exposed to 30 mg TA/kg exhibit delayed tissue repair and delayed recovery from injury. The objective of this study was to investigate the mechanism of impaired tissue repair and progression of liver injury in TA-treated DB rats by using cDNA microarray. Gene expression pattern was examined at 0, 6, and 12 h after TA challenge, and selected mechanistic leads from microarray experiments were confirmed by real-time RT-PCR and further investigated at protein level over the time course of 0 to 36 h after TA treatment. Diabetic condition itself increased gene expression of proteases and decreased gene expression of protease inhibitors. Administration of 300 mg TA/kg to DB rats further elevated gene expression of proteases and suppressed gene expression of protease inhibitors, explaining progression of liver injury in DB rats after TA treatment. Inhibited expression of genes involved in cell division cycle (cyclin D1, IGFBP-1, ras, E2F) was observed after exposure of DB rats to 300 mg TA/kg, explaining inhibited tissue repair in these rats. On the other hand, DB rats receiving 30 mg TA/kg exhibit delayed expression of genes involved in cell division cycle, explaining delayed tissue repair in these rats. In conclusion, impaired cyclin D1 signaling along with increased proteases and decreased protease inhibitors may explain impaired tissue repair that leads to progression of liver injury initiated by TA in DB rats

  5. Gene expression profiles in liver cancer and normal liver tissues

    Institute of Scientific and Technical Information of China (English)

    Lian Xin Liu; Hong Chi Jiang; An Long Zhu; Jin Zhou; Xiu Qin Wang; Min Wu

    2000-01-01

    AIM To describe a liver cancer = specific gene expression profile and to identify genes that showed alteredexpression between liver cancer tissues and their adjacent nearly normal tissues.METHODS The cDNA probes which were labeled with a-32P dATP were synthesized from total RNA ofliver cancer and adjacent normal tissues and hybridized separately to two identical Atlas human cancer eDNAexpression array membranes containing 588 known genes.RESULTS Autoradiographic results were analyzed by specific Atlas ImageTM (version 1. 0) software.Among the 588 genes analyzed, 18 genes were found up-regulated in cancer, including TFDP2, Aktl, E2F-3etc, and 25 genes were down-regulated in cancer, including TDGF1, BAK, LAR, etc. Expression levels ofgenes that associated with the regulation of cell proliferation, apoptosis, differentiation, cell-cellinteraction, invasion regulators and eytokines altered mostly.CONCLUSION The result obtained from Atlas microarray provides a comprehensive liver cancer-specificexpression profile. The results can lead to the identification of liver cancer-specific biomarkers and may behelpful in early diagnosis and dentifiction of target genes for designing rational therapeutic strategies.

  6. Immobilized probe and glass surface chemistry as variables in microarray fabrication

    Directory of Open Access Journals (Sweden)

    Muheisen Sanaa

    2004-08-01

    Full Text Available Abstract Background Global gene expression studies with microarrays can offer biological insights never before possible. However, the technology possesses many sources of technical variability that are an obstacle to obtaining high quality data sets. Since spotted microarrays offer design/content flexibility and potential cost savings over commercial systems, we have developed prehybridization quality control strategies for spotted cDNA and oligonucleotide arrays. These approaches utilize a third fluorescent dye (fluorescein to monitor key fabrication variables, such as print/spot morphology, DNA retention, and background arising from probe redistributed during blocking. Here, our labeled cDNA array platform is used to study, 1 compression of array data using known input ratios of Arabidopsis in vitro transcripts and arrayed serial dilutions of homologous probes; 2 how curing time of in-house poly-L-lysine coated slides impacts probe retention capacity; and 3 the retention characteristics of 13 commercially available surfaces. Results When array element fluorescein intensity drops below 5,000 RFU/pixel, gene expression measurements become increasingly compressed, thereby validating this value as a prehybridization quality control threshold. We observe that the DNA retention capacity of in-house poly-L-lysine slides decreases rapidly over time (~50% reduction between 3 and 12 weeks post-coating; p Conclusions High DNA retention rates are necessary for accurate gene expression measurements. Therefore, an understanding of the characteristics and optimization of protocols to an array surface are prerequisites to fabrication of high quality arrays.

  7. Relationship between gene co-expression and probe localization on microarray slides

    Directory of Open Access Journals (Sweden)

    Qian Jiang

    2003-12-01

    Full Text Available Abstract Background Microarray technology allows simultaneous measurement of thousands of genes in a single experiment. This is a potentially useful tool for evaluating co-expression of genes and extraction of useful functional and chromosomal structural information about genes. Results In this work we studied the association between the co-expression of genes, their location on the chromosome and their location on the microarray slides by analyzing a number of eukaryotic expression datasets, derived from the S. cerevisiae, C. elegans, and D. melanogaster. We find that in several different yeast microarray experiments the distribution of the number of gene pairs with correlated expression profiles as a function of chromosomal spacing is peaked at short separations and has two superimposed periodicities. The longer periodicity has a spacing of 22 genes (~42 Kb, and the shorter periodicity is 2 genes (~4 Kb. Conclusion The relative positioning of DNA probes on microarray slides and source plates introduces subtle but significant correlations between pairs of genes. Careful consideration of this spatial artifact is important for analysis of microarray expression data. It is particularly relevant to recent microarray analyses that suggest that co-expressed genes cluster along chromosomes or are spaced by multiples of a fixed number of genes along the chromosome.

  8. MARS: Microarray analysis, retrieval, and storage system

    Directory of Open Access Journals (Sweden)

    Scheideler Marcel

    2005-04-01

    Full Text Available Abstract Background Microarray analysis has become a widely used technique for the study of gene-expression patterns on a genomic scale. As more and more laboratories are adopting microarray technology, there is a need for powerful and easy to use microarray databases facilitating array fabrication, labeling, hybridization, and data analysis. The wealth of data generated by this high throughput approach renders adequate database and analysis tools crucial for the pursuit of insights into the transcriptomic behavior of cells. Results MARS (Microarray Analysis and Retrieval System provides a comprehensive MIAME supportive suite for storing, retrieving, and analyzing multi color microarray data. The system comprises a laboratory information management system (LIMS, a quality control management, as well as a sophisticated user management system. MARS is fully integrated into an analytical pipeline of microarray image analysis, normalization, gene expression clustering, and mapping of gene expression data onto biological pathways. The incorporation of ontologies and the use of MAGE-ML enables an export of studies stored in MARS to public repositories and other databases accepting these documents. Conclusion We have developed an integrated system tailored to serve the specific needs of microarray based research projects using a unique fusion of Web based and standalone applications connected to the latest J2EE application server technology. The presented system is freely available for academic and non-profit institutions. More information can be found at http://genome.tugraz.at.

  9. Microarray analysis of tomato's early and late wound response reveals new regulatory targets for Leucine aminopeptidase A.

    Directory of Open Access Journals (Sweden)

    Melissa A Scranton

    Full Text Available Wounding due to mechanical injury or insect feeding causes a wide array of damage to plant cells including cell disruption, desiccation, metabolite oxidation, and disruption of primary metabolism. In response, plants regulate a variety of genes and metabolic pathways to cope with injury. Tomato (Solanum lycopersicum is a model for wound signaling but few studies have examined the comprehensive gene expression profiles in response to injury. A cross-species microarray approach using the TIGR potato 10-K cDNA array was analyzed for large-scale temporal (early and late and spatial (locally and systemically responses to mechanical wounding in tomato leaves. These analyses demonstrated that tomato regulates many primary and secondary metabolic pathways and this regulation is dependent on both timing and location. To determine if LAP-A, a known modulator of wound signaling, influences gene expression beyond the core of late wound-response genes, changes in RNAs from healthy and wounded Leucine aminopeptidase A-silenced (LapA-SI and wild-type (WT leaves were examined. While most of the changes in gene expression after wounding in LapA-SI leaves were similar to WT, overall responses were delayed in the LapA-SI leaves. Moreover, two pathogenesis-related 1 (PR-1c and PR-1a2 and two dehydrin (TAS14 and Dhn3 genes were negatively regulated by LAP-A. Collectively, this study has shown that tomato wound responses are complex and that LAP-A's role in modulation of wound responses extends beyond the well described late-wound gene core.

  10. Molecular cloning of lupin leghemoglobin cDNA

    DEFF Research Database (Denmark)

    Konieczny, A; Jensen, E O; Marcker, K A;

    1987-01-01

    Poly(A)+ RNA isolated from root nodules of yellow lupin (Lupinus luteus, var. Ventus) has been used as a template for the construction of a cDNA library. The ds cDNA was synthesized and inserted into the Hind III site of plasmid pBR 322 using synthetic Hind III linkers. Clones containing sequences...... specific for nodules were selected by differential colony hybridization using 32P-labeled cDNA synthesized either from nodule poly(A)+ RNA or from poly(A)+ RNA of uninfected root as probes. Among the recombinant plasmids, the cDNA gene for leghemoglobin was identified. The protein structure derived from...... its nucleotide sequence was consistent with known amino acid sequence of lupin Lb II. The cloned lupin Lb cDNA hybridized to poly(A)+ RNA from nodules only, which is in accordance with the general concept, that leghemoglobin is expressed exclusively in nodules. Udgivelsesdato: 1987-null...

  11. Sample size for detecting differentially expressed genes in microarray experiments

    Directory of Open Access Journals (Sweden)

    Li Jiangning

    2004-11-01

    Full Text Available Abstract Background Microarray experiments are often performed with a small number of biological replicates, resulting in low statistical power for detecting differentially expressed genes and concomitant high false positive rates. While increasing sample size can increase statistical power and decrease error rates, with too many samples, valuable resources are not used efficiently. The issue of how many replicates are required in a typical experimental system needs to be addressed. Of particular interest is the difference in required sample sizes for similar experiments in inbred vs. outbred populations (e.g. mouse and rat vs. human. Results We hypothesize that if all other factors (assay protocol, microarray platform, data pre-processing were equal, fewer individuals would be needed for the same statistical power using inbred animals as opposed to unrelated human subjects, as genetic effects on gene expression will be removed in the inbred populations. We apply the same normalization algorithm and estimate the variance of gene expression for a variety of cDNA data sets (humans, inbred mice and rats comparing two conditions. Using one sample, paired sample or two independent sample t-tests, we calculate the sample sizes required to detect a 1.5-, 2-, and 4-fold changes in expression level as a function of false positive rate, power and percentage of genes that have a standard deviation below a given percentile. Conclusions Factors that affect power and sample size calculations include variability of the population, the desired detectable differences, the power to detect the differences, and an acceptable error rate. In addition, experimental design, technical variability and data pre-processing play a role in the power of the statistical tests in microarrays. We show that the number of samples required for detecting a 2-fold change with 90% probability and a p-value of 0.01 in humans is much larger than the number of samples commonly used in

  12. Graph based study of allergen cross-reactivity of plant lipid transfer proteins (LTPs) using microarray in a multicenter study.

    OpenAIRE

    Palacín Gómez, Aranzazu; Gomez Casado, Cristina; Rivas, Luis; Aguirre, Jacobo; Tordesillas Villuendas, Leticia; Bartra, Joan; Blanco, Carlos; Carrillo, Teresa; Cuesta-Herranz, Javier; de Frutos, Consolación; García Álvarez-Eire, Genoveva; Fernández, Francisco; Gamboa, P. M.; Muñoz, Rosa; Sánchez-Monge Laguna de Rins, Rosa

    2012-01-01

    The study of cross-reactivity in allergy is key to both understanding. the allergic response of many patients and providing them with a rational treatment In the present study, protein microarrays and a co-sensitization graph approach were used in conjunction with an allergen microarray immunoassay. This enabled us to include a wide number of proteins and a large number of patients, and to study sensitization profiles among members of the LTP family. Fourteen LTPs from the most frequent plant...

  13. Short-term arginine deprivation results in large-scale modulation of hepatic gene expression in both normal and tumor cells: microarray bioinformatic analysis

    Directory of Open Access Journals (Sweden)

    Sabo Edmond

    2006-09-01

    Full Text Available Abstract Background We have reported arginine-sensitive regulation of LAT1 amino acid transporter (SLC 7A5 in normal rodent hepatic cells with loss of arginine sensitivity and high level constitutive expression in tumor cells. We hypothesized that liver cell gene expression is highly sensitive to alterations in the amino acid microenvironment and that tumor cells may differ substantially in gene sets sensitive to amino acid availability. To assess the potential number and classes of hepatic genes sensitive to arginine availability at the RNA level and compare these between normal and tumor cells, we used an Affymetrix microarray approach, a paired in vitro model of normal rat hepatic cells and a tumorigenic derivative with triplicate independent replicates. Cells were exposed to arginine-deficient or control conditions for 18 hours in medium formulated to maintain differentiated function. Results Initial two-way analysis with a p-value of 0.05 identified 1419 genes in normal cells versus 2175 in tumor cells whose expression was altered in arginine-deficient conditions relative to controls, representing 9–14% of the rat genome. More stringent bioinformatic analysis with 9-way comparisons and a minimum of 2-fold variation narrowed this set to 56 arginine-responsive genes in normal liver cells and 162 in tumor cells. Approximately half the arginine-responsive genes in normal cells overlap with those in tumor cells. Of these, the majority was increased in expression and included multiple growth, survival, and stress-related genes. GADD45, TA1/LAT1, and caspases 11 and 12 were among this group. Previously known amino acid regulated genes were among the pool in both cell types. Available cDNA probes allowed independent validation of microarray data for multiple genes. Among genes downregulated under arginine-deficient conditions were multiple genes involved in cholesterol and fatty acid metabolism. Expression of low-density lipoprotein receptor was

  14. Use of a Microarray to Detect Expression of Genes for Lignin-Degrading Enzymes in Soil Fungi

    Science.gov (United States)

    Bailey, V. L.; Smith, J. L.; Bolton, H.

    2003-12-01

    Lignin is a complex biopolymer that is degraded by fungi. Several extracellular enzymes have been implicated in degradation and include lignin peroxidases, laccases, manganese peroxidases, and glyoxal oxidases. Versions of these enzymes are produced by multiple species of fungi, and in some cases, multiple versions of a single enzyme may be produced by the same species of fungus. Previous research has indicated changes in fungal activity and diversity along a tallgrass prairie restoration chronosequence (Fermi National Lab, IL). A cDNA microarray was designed to interrogate the expression and microbial source of these lignin degrading enzymes in the chronosequence soils. We hypothesized that less diversity in gene expression would be detected in a farmed soil than in a restored prairie soil. The array had 46 oligonucleotides (15-25mer) that represent each of the enzymes listed above. Messenger RNA was extracted from 32 one-gram subsamples of the target soils then all of the extracts were pooled prior to RNA precipitation and mRNA purification. Aminoallyl modified dUTPs were incorporated during reverse transcription, after which the cDNA was labeled with Alexa-555 dye. The labeled cDNA was hybridized with the microarray for 24 hours and then imaged. Preliminary results support the hypothesis that fewer genes were expressed in the farmed soil than in the restored soil.

  15. Analysis of factorial time-course microarrays with application to a clinical study of burn injury

    OpenAIRE

    Zhou, Baiyu; Xu, Weihong; Herndon, David; Tompkins, Ronald; Davis, Ronald; Xiao, Wenzhong; Wong, Wing Hung; Toner, Mehmet; Warren, H. Shaw; Schoenfeld, David A.; Rahme, Laurence; McDonald-Smith, Grace P.; Hayden, Douglas; Mason, Philip; Fagan, Shawn

    2010-01-01

    Time-course microarray experiments are capable of capturing dynamic gene expression profiles. It is important to study how these dynamic profiles depend on the multiple factors that characterize the experimental condition under which the time course is observed. Analytic methods are needed to simultaneously handle the time course and factorial structure in the data. We developed a method to evaluate factor effects by pooling information across the time course while accounting for multiple tes...

  16. Carbohydrate Microarrays in Plant Science

    DEFF Research Database (Denmark)

    Fangel, Jonatan Ulrik; Pedersen, H.L.; Vidal-Melgosa, S.; Ahl, Louise Isager; Salmean, A.A.; Egelund, Jack; Rydahl, Maja Gro; Clausen, M.H.; Willats, William George Tycho

    2012-01-01

    Almost all plant cells are surrounded by glycan-rich cell walls, which form much of the plant body and collectively are the largest source of biomass on earth. Plants use polysaccharides for support, defense, signaling, cell adhesion, and as energy storage, and many plant glycans are also importa...... plant research and can be used to map glycan populations across large numbers of samples to screen antibodies, carbohydrate binding proteins, and carbohydrate binding modules and to investigate enzyme activities.......Almost all plant cells are surrounded by glycan-rich cell walls, which form much of the plant body and collectively are the largest source of biomass on earth. Plants use polysaccharides for support, defense, signaling, cell adhesion, and as energy storage, and many plant glycans are also important...... industrially and nutritionally. Understanding the biological roles of plant glycans and the effective exploitation of their useful properties requires a detailed understanding of their structures, occurrence, and molecular interactions. Microarray technology has revolutionized the massively high...

  17. Molecular characterization of Neisseria meningitidis isolates using a resequencing DNA microarray.

    Science.gov (United States)

    Corless, Caroline E; Kaczmarski, Edward; Borrow, Ray; Guiver, Malcolm

    2008-05-01

    Neisseria meningitidis is a major cause of both meningitis and septicemia. Typically, isolates are characterized by using a combination of immunological phenotyping, using monoclonal and polyclonal antisera, and Sanger nucleotide sequencing of epitope-encoding variable regions, although these methods can be both time-consuming and limited by reagent availability. Herein, we describe and evaluate a novel microarray to define the porB and porA serotypes of N. meningitidis by the resequencing of variable regions in a single hybridization reaction. PCR products for each gene were amplified, pooled in equimolar concentrations, hybridized to the microarray, and analyzed using Affymetrix GeneChip DNA Analysis Software. Resequencing of the microarray data was then validated by comparison with sequencing data. Molecular profiles were generated for 50 isolates that were combinations of phenotypically typeable (ie, PorA and PorB) and non-typeable (PorB only) isolates. Microarray-generated profiles from isolates with a PorB phenotype were concordant with predicted profiles compared with a previously described typing scheme. In addition, 42% (8 of 19) of previously non-typeable samples were assigned a PorB type when tested using the microarray. The remaining isolates were novel types for which no typing antisera are currently available. The porA data were 97% concordant with Sanger nucleotide sequencing. These results suggest that that microarray resequencing may be a useful tool for the characterization of meningococci, particularly for those isolates that cannot be phenotyped, offering an alternative to conventional sequencing methods. PMID:18372424

  18. Multiplex component-based allergen microarray in recent clinical studies.

    Science.gov (United States)

    Patelis, A; Borres, M P; Kober, A; Berthold, M

    2016-08-01

    During the last decades component-resolved diagnostics either as singleplex or multiplex measurements has been introduced into the field of clinical allergology, providing important information that cannot be obtained from extract-based tests. Here we review recent studies that demonstrate clinical applications of the multiplex microarray technique in the diagnosis and risk assessment of allergic patients, and its usefulness in studies of allergic diseases. The usefulness of ImmunoCAP ISAC has been validated in a wide spectrum of allergic diseases like asthma, allergic rhinoconjunctivitis, atopic dermatitis, eosinophilic esophagitis, food allergy and anaphylaxis. ISAC provides a broad picture of a patient's sensitization profile from a single test, and provides information on specific and cross-reactive sensitizations that facilitate diagnosis, risk assessment, and disease management. Furthermore, it can reveal unexpected sensitizations which may explain anaphylaxis previously categorized as idiopathic and also display for the moment clinically non-relevant sensitizations. ISAC can facilitate a better selection of relevant allergens for immunotherapy compared with extract testing. Microarray technique can visualize the allergic march and molecular spreading in the preclinical stages of allergic diseases, and may indicate that the likelihood of developing symptomatic allergy is associated with specific profiles of sensitization to allergen components. ISAC is shown to be a useful tool in routine allergy diagnostics due to its ability to improve risk assessment, to better select relevant allergens for immunotherapy as well as detecting unknown sensitization. Multiplex component testing is especially suitable for patients with complex symptomatology. PMID:27196983

  19. The EADGENE Microarray Data Analysis Workshop

    DEFF Research Database (Denmark)

    de Koning, Dirk-Jan; Jaffrézic, Florence; Lund, Mogens Sandø;

    2007-01-01

    10 countries performed and discussed the statistical analyses of real and simulated 2-colour microarray data that were distributed among participants. The real data consisted of 48 microarrays from a disease challenge experiment in dairy cattle, while the simulated data consisted of 10 microarrays...... from a direct comparison of two treatments (dye-balanced). While there was broader agreement with regards to methods of microarray normalisation and significance testing, there were major differences with regards to quality control. The quality control approaches varied from none, through using...... statistical weights, to omitting a large number of spots or omitting entire slides. Surprisingly, these very different approaches gave quite similar results when applied to the simulated data, although not all participating groups analysed both real and simulated data. The workshop was very successful in...

  20. Robust image analysis of Beadchip microarrays

    Czech Academy of Sciences Publication Activity Database

    Kalina, Jan; Schlenker, A.

    Prague, 2015. [AMISTAT 2015. Analytical Methods in Statistics. 10.11.2015-13.11.2015, Prague] Institutional support: RVO:67985807 Keywords : microarray * robust image analysis * noise * outlying measurements * background effect Subject RIV: IN - Informatics, Computer Science

  1. 3D Biomaterial Microarrays for Regenerative Medicine

    DEFF Research Database (Denmark)

    Gaharwar, Akhilesh K.; Arpanaei, Ayyoob; Andresen, Thomas Lars;

    2015-01-01

    Three dimensional (3D) biomaterial microarrays hold enormous promise for regenerative medicine because of their ability to accelerate the design and fabrication of biomimetic materials. Such tissue-like biomaterials can provide an appropriate microenvironment for stimulating and controlling stem...

  2. Microarray Data Analysis of Gene Expression Evolution

    OpenAIRE

    Honghuang Lin

    2009-01-01

    Microarrays are becoming a widely used tool to study gene expression evolution. A recent paper by Wang and Rekaya describes a comprehensive study of gene expression evolution by microarray.1 The work provides a perspective to study gene expression evolution in terms of functional enrichment and promoter conservation. It was found that gene expression patterns are highly conserved in some biological processes, but the correlation between promoter and gene expression is insignificant. This scop...

  3. Protein Microarrays: Novel Developments and Applications

    OpenAIRE

    Berrade, Luis; Garcia, Angie E.; Camarero, Julio A.

    2010-01-01

    Protein microarray technology possesses some of the greatest potential for providing direct information on protein function and potential drug targets. For example, functional protein microarrays are ideal tools suited for the mapping of biological pathways. They can be used to study most major types of interactions and enzymatic activities that take place in biochemical pathways and have been used for the analysis of simultaneous multiple biomolecular interactions involving protein-protein, ...

  4. Text Mining Perspectives in Microarray Data Mining

    OpenAIRE

    Natarajan, Jeyakumar

    2013-01-01

    Current microarray data mining methods such as clustering, classification, and association analysis heavily rely on statistical and machine learning algorithms for analysis of large sets of gene expression data. In recent years, there has been a growing interest in methods that attempt to discover patterns based on multiple but related data sources. Gene expression data and the corresponding literature data are one such example. This paper suggests a new approach to microarray data mining as ...

  5. Polymer microarrays for cell based applications

    OpenAIRE

    Hansen, Anne Klara Brigitte

    2012-01-01

    The development and identification of new biomaterials that can replace specific tissues and organs is desirable. In the presented PhD thesis polymer microarrays were applied for the screening of polyacrylates and polyurethanes and evaluation for material discovery for applications in the life sciences. In the first part of the thesis, the largest polymer microarray ever made with more than 7000 features was fabricated and subsequently used for the screening of polyacrylates...

  6. Surface free energy and microarray deposition technology

    OpenAIRE

    McHale, Glen

    2007-01-01

    Microarray techniques use a combinatorial approach to assess complex biochemical interactions. The fundamental goal is simultaneous, large-scale experimentation analogous to the automation achieved in the semiconductor industry. However, microarray deposition inherently involves liquids contacting solid substrates. Liquid droplet shapes are determined by surface and interfacial tension forces, and flows during drying. This article looks at how surface free energy and wetting considerations ma...

  7. Development and Validation of Corynebacterium DNA Microarrays

    OpenAIRE

    Loos, Andrea; Glanemann, Christoph; Willis, Laura B.; O'Brien, Xian M; Lessard, Philip A.; Gerstmeir, Robert; Guillouet, Stéphane; Sinskey, Anthony J.

    2001-01-01

    We have developed DNA microarray techniques for studying Corynebacterium glutamicum. A set of 52 C. glutamicum genes encoding enzymes from primary metabolism was amplified by PCR and printed in triplicate onto glass slides. Total RNA was extracted from cells harvested during the exponential-growth and lysine production phases of a C. glutamicum fermentation. Fluorescently labeled cDNAs were prepared by reverse transcription using random hexamer primers and hybridized to the microarrays. To es...

  8. cDNA cloning and sequencing of ostrich Growth hormone

    Directory of Open Access Journals (Sweden)

    Doosti Abbas

    2012-01-01

    Full Text Available In recent years, industrial breeding of ostrich (Struthio camelus has been widely developed in Iran. Growth hormone (GH is a peptide hormone that stimulates growth and cell reproduction in different animals. The aim of this study was to clone and sequence the ostrich growth hormone gene in E. coli, done for the first time in Iran. The cDNA that encodes ostrich growth hormone was isolated from total mRNA of the pituitary gland and amplified by RT-PCR using GH specific PCR primers. Then GH cDNA was cloned by T/A cloning technique and the construct was transformed into E. coli. Finally, GH cDNA sequence was submitted to the GenBank (Accession number: JN559394. The results of present study showed that GH cDNA was successfully cloned in E. coli. Sequencing confirmed that GH cDNA was cloned and that the length of ostrich GH cDNA was 672 bp; BLAST search showed that the sequence of growth hormone cDNA of the ostrich from Iran has 100% homology with other records existing in GenBank.

  9. The Impact of Photobleaching on Microarray Analysis

    Directory of Open Access Journals (Sweden)

    Marcel von der Haar

    2015-09-01

    Full Text Available DNA-Microarrays have become a potent technology for high-throughput analysis of genetic regulation. However, the wide dynamic range of signal intensities of fluorophore-based microarrays exceeds the dynamic range of a single array scan by far, thus limiting the key benefit of microarray technology: parallelization. The implementation of multi-scan techniques represents a promising approach to overcome these limitations. These techniques are, in turn, limited by the fluorophores’ susceptibility to photobleaching when exposed to the scanner’s laser light. In this paper the photobleaching characteristics of cyanine-3 and cyanine-5 as part of solid state DNA microarrays are studied. The effects of initial fluorophore intensity as well as laser scanner dependent variables such as the photomultiplier tube’s voltage on bleaching and imaging are investigated. The resulting data is used to develop a model capable of simulating the expected degree of signal intensity reduction caused by photobleaching for each fluorophore individually, allowing for the removal of photobleaching-induced, systematic bias in multi-scan procedures. Single-scan applications also benefit as they rely on pre-scans to determine the optimal scanner settings. These findings constitute a step towards standardization of microarray experiments and analysis and may help to increase the lab-to-lab comparability of microarray experiment results.

  10. Effects of emodin on gene expression profile in small cell lung cancer NCI-H446 cells

    Institute of Scientific and Technical Information of China (English)

    FU Zhong-yan; HAN Jin-xiang; HUANG Hai-yan

    2007-01-01

    Background The treatment of patients with small cell lung cancer (SCLC) is based on chemotherapy. However, the treatment is limited by the development of drug resistance. Emodin has been shown to exhibit an anti-cancer effect. But the molecular mechanism remains unclear. This study was conducted to investigate the effect of emodin on the gene expression profile changes in SCLC NCI-H446 cells.Methods NCI-H446 cells were treated with emodin and cell viability was determined by MTT assay. Cell apoptosis was determined by both flow cytometry and caspase-3 activity assay. The effect of emodin on the gene expression profile of NCI-H446 cells was analyzed using cDNA microarray. Semi-quantitative reverse transcriptase-polymerase chain reaction (RT-PCR) was used to validate the microarray results.Results Emodin suppressed viability, induced apoptosis and changed cell cycle of NCI-H446 cells. Among the 1262 genes, 10 genes were up-regulated and 8 genes were down-regulated more than 2 folds in NCI-H446 cells when compared with the control cells after treatment with emodin for 12 hours, while 12 genes were up-regulated and 24 genes were down-regulated after treatment with emodin for 24 hours. These genes were involved in metabolism, signal transduction, transcription regulation, cytoskeleton organization, immune response, transport, protein synthesis, cell cycle control, cell adhesion and RNA processing. The RT-PCR results were consistent with those obtained by the microarray.Conclusions Emodin affects the expression of genes involved in various cellular functions and plays important roles in cell apoptosis, tumor metastasis and chemotherapy-resistance, which suggests emodin might become an effective chemopreventive or chemotherapeutic agent for SCLC.

  11. ASCARIS SUUM: CDNA MICROARRAY ANALYSIS OF 4TH STAGE LARVAE (L4) DURING SELF-CURE FROM THE INTESTINE

    Science.gov (United States)

    There is spontaneous cure of a large portion of Ascaris suum 4th-stage larvae (L4) from the jejunum of infected pigs between 14 and 21 days after inoculation (DAI). Those L4 that remain in the jejunum continue to develop while those that have moved to the ileum are eventually expelled from the inte...

  12. PMD: A Resource for Archiving and Analyzing Protein Microarray data

    OpenAIRE

    Zhaowei Xu; Likun Huang; Hainan Zhang; Yang Li; Shujuan Guo; Nan Wang; Shi-hua Wang; Ziqing Chen; Jingfang Wang; Sheng-ce Tao

    2016-01-01

    Protein microarray is a powerful technology for both basic research and clinical study. However, because there is no database specifically tailored for protein microarray, the majority of the valuable original protein microarray data is still not publically accessible. To address this issue, we constructed Protein Microarray Database (PMD), which is specifically designed for archiving and analyzing protein microarray data. In PMD, users can easily browse and search the entire database by expe...

  13. A novel multifunctional oligonucleotide microarray for Toxoplasma gondii

    Directory of Open Access Journals (Sweden)

    Chen Feng

    2010-10-01

    Full Text Available Abstract Background Microarrays are invaluable tools for genome interrogation, SNP detection, and expression analysis, among other applications. Such broad capabilities would be of value to many pathogen research communities, although the development and use of genome-scale microarrays is often a costly undertaking. Therefore, effective methods for reducing unnecessary probes while maintaining or expanding functionality would be relevant to many investigators. Results Taking advantage of available genome sequences and annotation for Toxoplasma gondii (a pathogenic parasite responsible for illness in immunocompromised individuals and Plasmodium falciparum (a related parasite responsible for severe human malaria, we designed a single oligonucleotide microarray capable of supporting a wide range of applications at relatively low cost, including genome-wide expression profiling for Toxoplasma, and single-nucleotide polymorphism (SNP-based genotyping of both T. gondii and P. falciparum. Expression profiling of the three clonotypic lineages dominating T. gondii populations in North America and Europe provides a first comprehensive view of the parasite transcriptome, revealing that ~49% of all annotated genes are expressed in parasite tachyzoites (the acutely lytic stage responsible for pathogenesis and 26% of genes are differentially expressed among strains. A novel design utilizing few probes provided high confidence genotyping, used here to resolve recombination points in the clonal progeny of sexual crosses. Recent sequencing of additional T. gondii isolates identifies >620 K new SNPs, including ~11 K that intersect with expression profiling probes, yielding additional markers for genotyping studies, and further validating the utility of a combined expression profiling/genotyping array design. Additional applications facilitating SNP and transcript discovery, alternative statistical methods for quantifying gene expression, etc. are also pursued at

  14. Optimization of gene expression microarray protocol for formalin-fixed paraffin-embedded tissues

    Directory of Open Access Journals (Sweden)

    Nevin Belder

    2016-03-01

    Full Text Available Formalin-fixed paraffin-embedded (FFPE tissue is a widely available clinical specimen for retrospective studies. The possibility of long-term clinical follow-up of FFPE samples makes them a valuable source to evaluate links between molecular and clinical information. Working with FFPE samples in the molecular research area, especially using high-throughput molecular techniques such as microarray gene expression profiling, has come into prominence. Because of the harmful effects of formalin fixation process such as degradation of nucleic acids, cross-linking with proteins, and chemical modifications on DNA and RNA, there are some limitations in gene expression profiling studies using FFPE samples. To date many studies have been conducted to evaluate gene expression profiling using microarrays (Thomas et al., Thomas et al. (2013 [1]; Scicchitano et al., Scicchitano et al. (2006 [2]; Frank et al., Frank et al. (2007 [3]; Fedorowicz et al., Fedorowicz et al. (2009 [4]. However, there is still no generally accepted, efficient and standardized procedure for microarray analysis of FFPE samples. This paper describes the microarray data presented in our recently accepted to be published article showing a standard protocol from deparaffinization of FFPE tissue sections and RNA extraction to microarray gene expression analysis. Here we represent our data in detail, deposited in the gene expression omnibus (GEO database with the accession number GSE73883. Four combinations of two different cRNA/cDNA preparation and labeling protocols with two different array platforms (Affymetrix Human Genome U133 Plus 2.0 and U133_X3P were evaluated to determine which combination gives the best percentage of present call. The study presents a dataset for comparative analysis which has a potential in terms of providing a robust protocol for gene expression profiling with FFPE tissue samples.

  15. Optimization of gene expression microarray protocol for formalin-fixed paraffin-embedded tissues.

    Science.gov (United States)

    Belder, Nevin; Coşkun, Öznur; Erdoğan, Beyza Doğanay; Savaş, Berna; Ensari, Arzu; Özdağ, Hilal

    2016-03-01

    Formalin-fixed paraffin-embedded (FFPE) tissue is a widely available clinical specimen for retrospective studies. The possibility of long-term clinical follow-up of FFPE samples makes them a valuable source to evaluate links between molecular and clinical information. Working with FFPE samples in the molecular research area, especially using high-throughput molecular techniques such as microarray gene expression profiling, has come into prominence. Because of the harmful effects of formalin fixation process such as degradation of nucleic acids, cross-linking with proteins, and chemical modifications on DNA and RNA, there are some limitations in gene expression profiling studies using FFPE samples. To date many studies have been conducted to evaluate gene expression profiling using microarrays (Thomas et al., Thomas et al. (2013) [1]; Scicchitano et al., Scicchitano et al. (2006) [2]; Frank et al., Frank et al. (2007) [3]; Fedorowicz et al., Fedorowicz et al. (2009) [4]). However, there is still no generally accepted, efficient and standardized procedure for microarray analysis of FFPE samples. This paper describes the microarray data presented in our recently accepted to be published article showing a standard protocol from deparaffinization of FFPE tissue sections and RNA extraction to microarray gene expression analysis. Here we represent our data in detail, deposited in the gene expression omnibus (GEO) database with the accession number GSE73883. Four combinations of two different cRNA/cDNA preparation and labeling protocols with two different array platforms (Affymetrix Human Genome U133 Plus 2.0 and U133_X3P) were evaluated to determine which combination gives the best percentage of present call. The study presents a dataset for comparative analysis which has a potential in terms of providing a robust protocol for gene expression profiling with FFPE tissue samples. PMID:26981433

  16. Microarray analysis of differentially expressed genes in the kidneys and testes of mice after long-term irradiation with low-dose-rate γ-rays

    International Nuclear Information System (INIS)

    Measuring global gene expression using cDNA or oligonucleotide microarrays is an effective approach to understanding the complex mechanisms of the effects of radiation. However, few studies have been carried out that investigate gene expression in vivo after prolonged exposure to low-dose-rate radiation. In this study, C57BL/6J mice were continuously irradiated with γ-rays for 485 days at dose-rates of 0.032-13 μGy/min. Gene expression profiles in the kidney and testis from irradiated and unirradiated mice were analyzed, and differentially expressed genes were identified. A combination of pathway analysis and hierarchical clustering of differentially expressed genes revealed that expression of genes involved in mitochondrial oxidative phosphorylation was elevated in the kidney after irradiation at the dose-rates of 0.65 μGy/min and 13 μGy/min. Expression of cell cycle-associated genes was not profoundly modulated in the kidney, in contrast to the response to acute irradiation, suggesting a threshold in the dose-rate for modulation of the expression of cell cycle-related genes in vivo following exposure to radiation. We demonstrated that changes to the gene expression profile in the testis were largely different from those in the kidney. The Gene Ontology categories 'DNA metabolism', 'response to DNA damage' and 'DNA replication' overlapped significantly with the clusters of genes whose expression decreased with an increase in the dose-rate to the testis. These observations provide a fundamental insight into the organ-specific responses to low-dose-rate radiation. (author)

  17. Sequence-matched probes produce increased cross-platform consistency and more reproducible biological results in microarray-based gene expression measurements.

    Science.gov (United States)

    Mecham, Brigham H; Klus, Gregory T; Strovel, Jeffrey; Augustus, Meena; Byrne, David; Bozso, Peter; Wetmore, Daniel Z; Mariani, Thomas J; Kohane, Isaac S; Szallasi, Zoltan

    2004-01-01

    Cancer derived microarray data sets are routinely produced by various platforms that are either commercially available or manufactured by academic groups. The fundamental difference in their probe selection strategies holds the promise that identical observations produced by more than one platform prove to be more robust when validated by biology. However, cross-platform comparison requires matching corresponding probe sets. We are introducing here sequence-based matching of probes instead of gene identifier-based matching. We analyzed breast cancer cell line derived RNA aliquots using Agilent cDNA and Affymetrix oligonucleotide microarray platforms to assess the advantage of this method. We show, that at different levels of the analysis, including gene expression ratios and difference calls, cross-platform consistency is significantly improved by sequence- based matching. We also present evidence that sequence-based probe matching produces more consistent results when comparing similar biological data sets obtained by different microarray platforms. This strategy allowed a more efficient transfer of classification of breast cancer samples between data sets produced by cDNA microarray and Affymetrix gene-chip platforms. PMID:15161944

  18. A Hybrid Reduction Approach for Enhancing Cancer Classification of Microarray Data

    Directory of Open Access Journals (Sweden)

    Abeer M. Mahmoud

    2014-10-01

    Full Text Available This paper presents a novel hybrid machine learning (MLreduction approach to enhance cancer classification accuracy of microarray data based on two ML gene ranking techniques (T-test and Class Separability (CS. The proposed approach is integrated with two ML classifiers; K-nearest neighbor (KNN and support vector machine (SVM; for mining microarray gene expression profiles. Four public cancer microarray databases are used for evaluating the proposed approach and successfully accomplish the mining process. These are Lymphoma, Leukemia SRBCT, and Lung Cancer. The strategy to select genes only from the training samples and totally excluding the testing samples from the classifier building process is utilized for more accurate and validated results. Also, the computational experiments are illustrated in details and comprehensively presented with literature related results. The results showed that the proposed reduction approach reached promising results of the number of genes supplemented to the classifiers as well as the classification accuracy.

  19. Detecting Outlier Microarray Arrays by Correlation and Percentage of Outliers Spots

    Directory of Open Access Journals (Sweden)

    Song Yang

    2006-01-01

    Full Text Available We developed a quality assurance (QA tool, namely microarray outlier filter (MOF, and have applied it to our microarray datasets for the identification of problematic arrays. Our approach is based on the comparison of the arrays using the correlation coefficient and the number of outlier spots generated on each array to reveal outlier arrays. For a human universal reference (HUR dataset, which is used as a technical control in our standard hybridization procedure, 3 outlier arrays were identified out of 35 experiments. For a human blood dataset, 12 outlier arrays were identified from 185 experiments. In general, arrays from human blood samples displayed greater variation in their gene expression profiles than arrays from HUR samples. As a result, MOF identified two distinct patterns in the occurrence of outlier arrays. These results demonstrate that this methodology is a valuable QA practice to identify questionable microarray data prior to downstream analysis.

  20. The use of lectin microarray for assessing glycosylation of therapeutic proteins.

    Science.gov (United States)

    Zhang, Lei; Luo, Shen; Zhang, Baolin

    2016-04-01

    Glycans or carbohydrates attached to therapeutic glycoproteins can directly affect product quality, safety and efficacy, and therefore must be adequately analyzed and controlled throughout product life cycles. However, the complexity of protein glycosylation poses a daunting analytical challenge. In this study, we evaluated the utility of a lectin microarray for assessing protein glycans. Using commercial lectin chips, which contain 45 lectins toward distinct glycan structures, we were able to determine the lectin binding patterns of a panel of 15 therapeutic proteins, including 8 monoclonal antibodies. Lectin binding signals were analyzed to generate glycan profiles that were generally consistent with the known glycan patterns for these glycoproteins. In particular, the lectin-based microarray was found to be highly sensitive to variations in the terminal carbohydrate structures such as galactose versus sialic acid epitopes. These data suggest that lectin microarray could be used for screening glycan patterns of therapeutic glycoproteins. PMID:26918373

  1. The Potentials and Pitfalls of Microarrays in Neglected Tropical Diseases: A Focus on Human Filarial Infections.

    Science.gov (United States)

    Kwarteng, Alexander; Ahuno, Samuel Terkper

    2016-01-01

    Data obtained from expression microarrays enables deeper understanding of the molecular signatures of infectious diseases. It provides rapid and accurate information on how infections affect the clustering of gene expression profiles, pathways and networks that are transcriptionally active during various infection states compared to conventional diagnostic methods, which primarily focus on single genes or proteins. Thus, microarray technologies offer advantages in understanding host-parasite interactions associated with filarial infections. More importantly, the use of these technologies can aid diagnostics and helps translate current genomic research into effective treatment and interventions for filarial infections. Studying immune responses via microarray following infection can yield insight into genetic pathways and networks that can have a profound influence on the development of anti-parasitic vaccines. PMID:27600086

  2. DNA Microarray Assay Helps to Identify Functional Genes Specific for Leukemia Stem Cells

    Directory of Open Access Journals (Sweden)

    Haojian Zhang

    2013-01-01

    Full Text Available Chronic myeloid leukemia (CML is a myeloproliferative disease derived from an abnormal hematopoietic stem cell (HSC and is consistently associated with the formation of Philadelphia (Ph chromosome. Tyrosine kinase inhibitors (TKIs are highly effective in treating chronic phase CML but do not eliminate leukemia stem cells (LSCs, which are believed to be related to disease relapse. Therefore, one major challenge in the current CML research is to understand the biology of LSCs and to identify the molecular difference between LSCs and its normal stem cell counterparts. Comparing the gene expression profiles between LSCs and normal HSCs by DNA microarray assay is a systematic and unbiased approach to address this issue. In this paper, we present a DNA microarray dataset for CML LSCs and normal HSCs to show that the microarray assay will benefit the current and future studies of the biology of CML stem cells.

  3. The Human Adult Skeletal Muscle Transcriptional Profile Reconstructed by a Novel Computational Approach

    Science.gov (United States)

    Bortoluzzi, Stefania; d'Alessi, Fabio; Romualdi, Chiara; Danieli, Gian Antonio

    2000-01-01

    By applying a novel software tool, information on 4080 UniGene clusters was retrieved from three adult human skeletal muscle cDNA libraries, which were selected for being neither normalized nor subtracted. Reconstruction of a transcriptional profile of the corresponding tissue was attempted by a computational approach, classifying each transcript according to its level of expression. About 25% of the transcripts accounted for about 80% of the detected transcriptional activity, whereas most genes showed a low level of expression. This in silico transcriptional profile was then compared with data obtained by a SAGE study. A fairly good agreement between the two methods was observed. About 400 genes, highly expressed in skeletal muscle or putatively skeletal muscle-specific, may represent the minimal set of genes needed to determine the tissue specificity. These genes could be used as a convenient reference to monitor major changes in the transcriptional profile of adult human skeletal muscle in response to different physiological or pathological conditions, thus providing a framework for designing DNA microarrays and initiating biological studies. PMID:10720575

  4. Generalization of DNA microarray dispersion properties: microarray equivalent of t-distribution

    DEFF Research Database (Denmark)

    Novak, Jaroslav P; Kim, Seon-Young; Xu, Jun;

    2006-01-01

    BACKGROUND: DNA microarrays are a powerful technology that can provide a wealth of gene expression data for disease studies, drug development, and a wide scope of other investigations. Because of the large volume and inherent variability of DNA microarray data, many new statistical methods have b...

  5. Mitochondrial-related gene expression profiles suggest an important role of PGC-1alpha in the compensatory mechanism of endemic dilated cardiomyopathy

    Energy Technology Data Exchange (ETDEWEB)

    He, Shu-Lan [Key Laboratory of Environment and Gene Related Diseases, Xi' an Jiaotong University, Ministry Education, No. 76 Yanta West Road, Xi' an, Shaanxi 710061 (China); Key Laboratory of Trace Elements and Endemic Diseases, Xi' an Jiaotong University, Ministry of Health, No. 76 Yanta West Road, Xi' an, Shaanxi 710061 (China); Tan, Wu-Hong, E-mail: tanwh@mail.xjtu.edu.cn [Key Laboratory of Environment and Gene Related Diseases, Xi' an Jiaotong University, Ministry Education, No. 76 Yanta West Road, Xi' an, Shaanxi 710061 (China); Key Laboratory of Trace Elements and Endemic Diseases, Xi' an Jiaotong University, Ministry of Health, No. 76 Yanta West Road, Xi' an, Shaanxi 710061 (China); Zhang, Zeng-Tie; Zhang, Feng [Key Laboratory of Environment and Gene Related Diseases, Xi' an Jiaotong University, Ministry Education, No. 76 Yanta West Road, Xi' an, Shaanxi 710061 (China); Key Laboratory of Trace Elements and Endemic Diseases, Xi' an Jiaotong University, Ministry of Health, No. 76 Yanta West Road, Xi' an, Shaanxi 710061 (China); Qu, Cheng-Juan [Institute of Biomedicine, University of Eastern Finland, Kuopio (Finland); Lei, Yan-Xia; Zhu, Yan-He [Key Laboratory of Environment and Gene Related Diseases, Xi' an Jiaotong University, Ministry Education, No. 76 Yanta West Road, Xi' an, Shaanxi 710061 (China); Key Laboratory of Trace Elements and Endemic Diseases, Xi' an Jiaotong University, Ministry of Health, No. 76 Yanta West Road, Xi' an, Shaanxi 710061 (China); Yu, Han-Jie [Department of Biotechnology, Northwest University, Xi' an, Shaanxi 710069 (China); Xiang, You-Zhang [Shandong Institute for prevention and Treatment of Endemic Disease, Jinan, Shandong 250014 (China); and others

    2013-10-15

    Keshan disease (KD) is an endemic dilated cardiomyopathy with unclear etiology. In this study, we compared mitochondrial-related gene expression profiles of peripheral blood mononuclear cells (PBMCs) derived from 16 KD patients and 16 normal controls in KD areas. Total RNA was isolated, amplified, labeled and hybridized to Agilent human 4×44k whole genome microarrays. Mitochondrial-related genes were screened out by the Third-Generation Human Mitochondria-Focused cDNA Microarray (hMitChip3). Quantitative real-time PCR, immunohistochemical and biochemical parameters related mitochondrial metabolism were conducted to validate our microarray results. In KD samples, 34 up-regulated genes (ratios≥2.0) were detected by significance analysis of microarrays and ingenuity systems pathway analysis (IPA). The highest ranked molecular and cellular functions of the differentially regulated genes were closely related to amino acid metabolism, free radical scavenging, carbohydrate metabolism, and energy production. Using IPA, 40 significant pathways and four significant networks, involved mainly in apoptosis, mitochondrion dysfunction, and nuclear receptor signaling were identified. Based on our results, we suggest that PGC-1alpha regulated energy metabolism and anti-apoptosis might play an important role in the compensatory mechanism of KD. Our results may lead to the identification of potential diagnostic biomarkers for KD in PBMCs, and may help to understand the pathogenesis of KD. Highlights: • Thirty-four up-regulated genes were detected in KD versus health controls. • Forty pathways and four networks were detected in KD. • PGC-1alpha regulated energy metabolism and anti-apoptosis in KD.

  6. High-Throughput Plasmid cDNA Library Screening

    Energy Technology Data Exchange (ETDEWEB)

    Wan, Kenneth H.; Yu, Charles; George, Reed A.; Carlson, JosephW.; Hoskins, Roger A.; Svirskas, Robert; Stapleton, Mark; Celniker, SusanE.

    2006-05-24

    Libraries of cDNA clones are valuable resources foranalysing the expression, structure, and regulation of genes, as well asfor studying protein functions and interactions. Full-length cDNA clonesprovide information about intron and exon structures, splice junctionsand 5'- and 3'-untranslated regions (UTRs). Open reading frames (ORFs)derived from cDNA clones can be used to generate constructs allowingexpression of native proteins and N- or C-terminally tagged proteins.Thus, obtaining full-length cDNA clones and sequences for most or allgenes in an organism is critical for understanding genome functions.Expressed sequence tag (EST) sequencing samples cDNA libraries at random,which is most useful at the beginning of large-scale screening projects.However, as projects progress towards completion, the probability ofidentifying unique cDNAs via EST sequencing diminishes, resulting in poorrecovery of rare transcripts. We describe an adapted, high-throughputprotocol intended for recovery of specific, full-length clones fromplasmid cDNA libraries in five days.

  7. Expression profiling of colon cancer cell lines and colon biopsies: towards a screening system for potential cancer-preventive compounds.

    Science.gov (United States)

    van Erk, M J; Krul, C A M; Caldenhoven, E; Stierum, R H; Peters, W H; Woutersen, R A; van Ommen, B

    2005-10-01

    Interest in mechanisms of colon cancer prevention by food compounds is strong and research in this area is often performed with cultured colon cancer cells. In order to assess utility for screening of potential cancer-preventive (food) compounds, expression profiles of 14 human cell lines derived from colonic tissue were measured using cDNA microarrays with 4000 genes and compared with expression profiles in biopsies of human colon tumours and normal tissue. Differences and similarities in the gene expression profiles of the cell lines were analysed by clustering and principal component analysis (PCA). Cytoskeleton genes and immune response genes are two functional classes of genes that contributed to the differences between the cell lines. A subset of 72 colon cancer-specific genes was identified by comparing expression profiles in human colon biopsies of tumour tissue and normal tissue. A separation of the cell lines based on the tumour stage of the original adenocarcinoma was observed after PCA of expression data of the subset of colon cancer-specific genes in the cell lines. The results of this study may be useful in the ongoing research into mechanisms of cancer prevention by dietary components. PMID:16175049

  8. A tiling microarray for global analysis of chloroplast genome expression in cucumber and other plants

    Directory of Open Access Journals (Sweden)

    Pląder Wojciech

    2011-09-01

    Full Text Available Abstract Plastids are small organelles equipped with their own genomes (plastomes. Although these organelles are involved in numerous plant metabolic pathways, current knowledge about the transcriptional activity of plastomes is limited. To solve this problem, we constructed a plastid tiling microarray (PlasTi-microarray consisting of 1629 oligonucleotide probes. The oligonucleotides were designed based on the cucumber chloroplast genomic sequence and targeted both strands of the plastome in a non-contiguous arrangement. Up to 4 specific probes were designed for each gene/exon, and the intergenic regions were covered regularly, with 70-nt intervals. We also developed a protocol for direct chemical labeling and hybridization of as little as 2 micrograms of chloroplast RNA. We used this protocol for profiling the expression of the cucumber chloroplast plastome on the PlasTi-microarray. Owing to the high sequence similarity of plant plastomes, the newly constructed microarray can be used to study plants other than cucumber. Comparative hybridization of chloroplast transcriptomes from cucumber, Arabidopsis, tomato and spinach showed that the PlasTi-microarray is highly versatile.

  9. Molecular cloning, characterization and tissue profiles of a HSP70 cDNA in Siberian sturgeon Acipenser baerii%西伯利亚鲟热休克蛋白HSP70 cDNA的克隆、序列分析和组织分布

    Institute of Scientific and Technical Information of China (English)

    田照辉; 徐绍刚; 王巍; 胡红霞; 董颖; 宋超

    2012-01-01

    A full length cDNA encoding heat shock protein 70 (HSP70) was cloned from liver RNA in Siberian sturgeon (Acipenser baerii) ,and was found to contain 2 343 bp, including 5'untranslated region of 140 bp, 3'un-translated region of 256 bp and an open reading frame of 1 947 bp. The deduced 648 amino acids sequence with estimated molecular of 71 000 and theoretical isoelectric point of 5. 21 had high similarity with other vertebrate HSP70 genes in NCBI. Sequence analysis indicated that the HSP70 cDNA was consisted of three signature sequences IDL-GTTYS, IFDLGGGTFDVSrL and IVLVGGSTRIPKIQK belonging to HSP70 family. Phylogenetic tree revealed that Alligator mississippiensis, Xenopus laevis ,Ambystoma mexicanum and Sebrian Sturgeon showed a close genetic relationship. Using fluorescent real-time quantitative PCR.the HSP70 was expressed in the liver, gill, spleen, heart, intestine, muscle, gonad and brain of Siberian sturgeon, with the peak in the spleen and the minimum in the liver (P<0.05) , indicating that the HSP70 cDNA could be used in understanding of anti-stress mechanism in Siberian sturgeon and in genetic breeding improvement.%采用普通PCR和RACE技术克隆了西伯利亚鲟Acipenser baerii热休克蛋白HSP70 cDNA的全序列,该序列全长为2343 bp,其中5'非编码区为140 bp,3'非编码区为256 bp,可读编码框(ORF)为1947bp,编码为648个氨基酸.该氨基酸序列中含有HSP70家族的3个特征序列——IDLGTTYS、IFDLGGGTFDVSIL和ⅣLVGGSTRIPKIQK,细胞质特征性保守序列为EEVD,C端重复序列为GGMP.该cDNA序列与其它生物的HSP70 cDNA序列一样具有很高的相似性.系统发育树显示,西伯利亚鲟与非洲爪蛙蟾Xenopus laevis、密西西比短吻鳄Alligator mississippiensis、美西螈Ambystoma mexicanum的亲缘关系较近.实时定量分析结果表明,水温为17.5℃时,西伯利亚鲟肝脏、鳃、脾脏、心脏、肌肉、中肠、性腺、脑8种组织中均有HSP70表达,其中HSP70在脾脏中的表达

  10. Acute hepatotoxicity: a predictive model based on focused illumina microarrays.

    Science.gov (United States)

    Zidek, Nadine; Hellmann, Juergen; Kramer, Peter-Juergen; Hewitt, Philip G

    2007-09-01

    Drug-induced hepatotoxicity is a major issue for drug development, and toxicogenomics has the potential to predict toxicity during early toxicity screening. A bead-based Illumina oligonucleotide microarray containing 550 liver specific genes has been developed. We have established a predictive screening system for acute hepatotoxicity by analyzing differential gene expression profiles of well-known hepatotoxic and nonhepatotoxic compounds. Low and high doses of tetracycline, carbon tetrachloride (CCL4), 1-naphthylisothiocyanate (ANIT), erythromycin estolate, acetaminophen (AAP), or chloroform as hepatotoxicants, clofibrate, theophylline, naloxone, estradiol, quinidine, or dexamethasone as nonhepatotoxic compounds, were administered as a single dose to male Sprague-Dawley rats. After 6, 24, and 72 h, livers were taken for histopathological evaluation and for analysis of gene expression alterations. All hepatotoxic compounds tested generated individual gene expression profiles. Based on leave-one-out cross-validation analysis, gene expression profiling allowed the accurate discrimination of all model compounds, 24 h after high dose treatment. Even during the regeneration phase, 72 h after treatment, CCL4, ANIT, and AAP were predicted to be hepatotoxic, and only these three compounds showed histopathological changes at this time. Furthermore, we identified 64 potential marker genes responsible for class prediction, which reflected typical hepatotoxicity responses. These genes and pathways, commonly deregulated by hepatotoxicants, may be indicative of the early characterization of hepatotoxicity and possibly predictive of later hepatotoxicity onset. Two unknown test compounds were used for prevalidating the screening test system, with both being correctly predicted. We conclude that focused gene microarrays are sufficient to classify compounds with respect to toxicity prediction. PMID:17522070

  11. rapmad: Robust analysis of peptide microarray data

    Directory of Open Access Journals (Sweden)

    Rothermel Andrée

    2011-08-01

    Full Text Available Abstract Background Peptide microarrays offer an enormous potential as a screening tool for peptidomics experiments and have recently seen an increased field of application ranging from immunological studies to systems biology. By allowing the parallel analysis of thousands of peptides in a single run they are suitable for high-throughput settings. Since data characteristics of peptide microarrays differ from DNA oligonucleotide microarrays, computational methods need to be tailored to these specifications to allow a robust and automated data analysis. While follow-up experiments can ensure the specificity of results, sensitivity cannot be recovered in later steps. Providing sensitivity is thus a primary goal of data analysis procedures. To this end we created rapmad (Robust Alignment of Peptide MicroArray Data, a novel computational tool implemented in R. Results We evaluated rapmad in antibody reactivity experiments for several thousand peptide spots and compared it to two existing algorithms for the analysis of peptide microarrays. rapmad displays competitive and superior behavior to existing software solutions. Particularly, it shows substantially improved sensitivity for low intensity settings without sacrificing specificity. It thereby contributes to increasing the effectiveness of high throughput screening experiments. Conclusions rapmad allows the robust and sensitive, automated analysis of high-throughput peptide array data. The rapmad R-package as well as the data sets are available from http://www.tron-mz.de/compmed.

  12. The Widely Used Diagnostics "DNA Microarray"-A Review

    Directory of Open Access Journals (Sweden)

    R. M. Kumar

    2009-01-01

    Full Text Available Problem statement: DNA microarray technique is one of the latest advances in the field of molecular biology and medicine. It is a multiplex technique used in combination of bioinformatics and statistical data analysis. Since, 1995, the technique offers the possibility of conducting tens or hundreds of thousands of simultaneous hybridizations. Approach: This increased experimental efficiency permits high throughput and whole genome expression profiling of pathogens and hosts. Results: Microarray technologies are rapidly advancing with numerous applications in gene expression, genotyping, pharmaco-genomics, proteomics and cell biology, in infectious diseases recognizing the causative agent, molecular typing, in studying the interactions between causative agents and host cells, cancer biology, genetics, determining the presence of a pathogen in food samples, to characterize microbial isolates, identifying the presence of virulence factors or microbial resistance genes, to detect microbial mutations associated with resistance to antiretroviral drugs, simultaneously detect and discriminate several viruses, to study the contaminants in cultures, such as mycoplasma, yeasts, fungi, exogenous and endogenous viruses and prions from both animal and human origin so and so forth. Conclusion: This article reviews the applicability of this technique elaborately in some of the important areas of biological sciences.

  13. A microarray-based gastric carcinoma prewarning system

    Institute of Scientific and Technical Information of China (English)

    Da-Xiang Cui; Jin-Rong Zhao; Fen-Chan Han; Ju Zhang; Jia-Le Hu; Dai-Ming Fan; Hua-Jian Gao; Li Zhang; Xiao-Jun Yan; Ling-Xia Zhang; Jun-Rong Xu; Yan-Hai Guo; Gui-Qiu Jin; Giovani Gomez; Ding Li

    2005-01-01

    AIM: To develop a microarray-based prewarning system consisting of gastric cancer chip, prewarning data and analysissoftware for early detection of gastric cancer and pre-cancerous lesions.METHODS: Two high-density chips with 8 464 human cDNA sites were used to primarily identify potential genes specific for normal gastric mucosa, pre-cancerous lesion and gastric cancer. The low-density chips, composed of selected genes associated with normal gastric mucosa,precancerous lesion and gastric cancer, were fabricated and used to screen 150 specimens including 60 specimens of gastric cancer, 60 of pre-cancerous tissues and 30 of normal gastric mucosa. CAD software was used to screen out the relevant genes and their critical threshold values of expression levels distinguishing normal mucosa from pre-cancerous lesion and cancer. All data were stored in a computer database to establish a prewarning data library for gastric cancer. Two potential markers brcaa1 and ndr1were identified by Western blot and immunohistochemistry.RESULTS: A total of 412 genes associated with three stages of gastric cancer development were identified.There were 216 genes displaying higher expression in gastric cancer, 85 genes displaying higher expression in pre-cancerous lesion and 88 genes displaying higher expression in normal gastric mucosa. Also 15 genes associated with metastasis of gastric cancer and 8 genes associated with risk factors were screened out for target genes of diagnosis chip of early gastric cancer. The threshold values of 412 selected genes to distinguish gastric cancer, pre-cancerous lesion from normal gastric mucosa were defined as 6.01±2.40, 4.86±1.94 and 5.42±2.17, respectively. These selected 412 genes and critical threshold values were compiled into an analysis software, which can automatically provide reports by analyzing the results of 412 genes obtained by examining gastric tissues. All data were compiled into a prewarning database for gastric cancer by CGO

  14. Discovering biological progression underlying microarray samples.

    Directory of Open Access Journals (Sweden)

    Peng Qiu

    2011-04-01

    Full Text Available In biological systems that undergo processes such as differentiation, a clear concept of progression exists. We present a novel computational approach, called Sample Progression Discovery (SPD, to discover patterns of biological progression underlying microarray gene expression data. SPD assumes that individual samples of a microarray dataset are related by an unknown biological process (i.e., differentiation, development, cell cycle, disease progression, and that each sample represents one unknown point along the progression of that process. SPD aims to organize the samples in a manner that reveals the underlying progression and to simultaneously identify subsets of genes that are responsible for that progression. We demonstrate the performance of SPD on a variety of microarray datasets that were generated by sampling a biological process at different points along its progression, without providing SPD any information of the underlying process. When applied to a cell cycle time series microarray dataset, SPD was not provided any prior knowledge of samples' time order or of which genes are cell-cycle regulated, yet SPD recovered the correct time order and identified many genes that have been associated with the cell cycle. When applied to B-cell differentiation data, SPD recovered the correct order of stages of normal B-cell differentiation and the linkage between preB-ALL tumor cells with their cell origin preB. When applied to mouse embryonic stem cell differentiation data, SPD uncovered a landscape of ESC differentiation into various lineages and genes that represent both generic and lineage specific processes. When applied to a prostate cancer microarray dataset, SPD identified gene modules that reflect a progression consistent with disease stages. SPD may be best viewed as a novel tool for synthesizing biological hypotheses because it provides a likely biological progression underlying a microarray dataset and, perhaps more importantly, the

  15. The use of microarrays in microbial ecology

    Energy Technology Data Exchange (ETDEWEB)

    Andersen, G.L.; He, Z.; DeSantis, T.Z.; Brodie, E.L.; Zhou, J.

    2009-09-15

    Microarrays have proven to be a useful and high-throughput method to provide targeted DNA sequence information for up to many thousands of specific genetic regions in a single test. A microarray consists of multiple DNA oligonucleotide probes that, under high stringency conditions, hybridize only to specific complementary nucleic acid sequences (targets). A fluorescent signal indicates the presence and, in many cases, the abundance of genetic regions of interest. In this chapter we will look at how microarrays are used in microbial ecology, especially with the recent increase in microbial community DNA sequence data. Of particular interest to microbial ecologists, phylogenetic microarrays are used for the analysis of phylotypes in a community and functional gene arrays are used for the analysis of functional genes, and, by inference, phylotypes in environmental samples. A phylogenetic microarray that has been developed by the Andersen laboratory, the PhyloChip, will be discussed as an example of a microarray that targets the known diversity within the 16S rRNA gene to determine microbial community composition. Using multiple, confirmatory probes to increase the confidence of detection and a mismatch probe for every perfect match probe to minimize the effect of cross-hybridization by non-target regions, the PhyloChip is able to simultaneously identify any of thousands of taxa present in an environmental sample. The PhyloChip is shown to reveal greater diversity within a community than rRNA gene sequencing due to the placement of the entire gene product on the microarray compared with the analysis of up to thousands of individual molecules by traditional sequencing methods. A functional gene array that has been developed by the Zhou laboratory, the GeoChip, will be discussed as an example of a microarray that dynamically identifies functional activities of multiple members within a community. The recent version of GeoChip contains more than 24,000 50mer

  16. Pineal function: impact of microarray analysis

    DEFF Research Database (Denmark)

    Klein, David C; Bailey, Michael J; Carter, David A;

    2009-01-01

    retina and has provided reason to explore new avenues of study including intracellular signaling, signal transduction, transcriptional cascades, thyroid/retinoic acid hormone signaling, metal biology, RNA splicing, and the role the pineal gland plays in the immune/inflammation response. The new......Microarray analysis has provided a new understanding of pineal function by identifying genes that are highly expressed in this tissue relative to other tissues and also by identifying over 600 genes that are expressed on a 24-h schedule. This effort has highlighted surprising similarity to the...... foundation that microarray analysis has provided will broadly support future research on pineal function....

  17. Study of the Gene Expression Profile of Human Ovarian Carcinoma by a Gene Chip

    Institute of Scientific and Technical Information of China (English)

    Shenhua Xu; Hanzhou Mou; Chihong Zhu; Lijuan Qian; Zhengyan Yang; Ye Ying; Xianglin Liu

    2005-01-01

    OBJECTIVE To study the difference in gene expression between human ovarian carcinoma and normal ovarian tissues, and screen the novel associated genes by cDNA microarrays.METHODS Total RNA from 10 cases of ovarian cancer and from normal ovarian tissues were extracted by a single step method. The cDNA was retro-transcribed from an equal quantity of mRNA derived from the 10 cases of ovarian carcinoma and normal ovarian tissues, followed by labeling the cDNA strands with Cy5 and Cy3 fluorescence as probes. The mixed probes were hybridized with BiostarH 8464 dot human somatic cell genes.Fluorescence signals were assessed by a ScanArray 4000 laser scanner and the images analyzed by Gene Pix Pro 3.0 software with a digital computer.RESULTS By applying the cDNA microarray we found a total of 185 genes for which expression levels differed more than 5 times comparing human ovarian carcinoma with normal ovarian epithelium. Among these genes 86 were up-regulated >5 times and 99 were down regulated <0.2.CONCLUSION The cDNA microarray technique is effective in screening the differential gene expression between human ovarian cancers and normal ovarian epithelium. It is suggested that these genes identified are related to the genesis and development of ovarian carcinoma.

  18. Microarray Я US: a user-friendly graphical interface to Bioconductor tools that enables accurate microarray data analysis and expedites comprehensive functional analysis of microarray results

    Directory of Open Access Journals (Sweden)

    Dai Yilin

    2012-06-01

    Full Text Available Abstract Background Microarray data analysis presents a significant challenge to researchers who are unable to use the powerful Bioconductor and its numerous tools due to their lack of knowledge of R language. Among the few existing software programs that offer a graphic user interface to Bioconductor packages, none have implemented a comprehensive strategy to address the accuracy and reliability issue of microarray data analysis due to the well known probe design problems associated with many widely used microarray chips. There is also a lack of tools that would expedite the functional analysis of microarray results. Findings We present Microarray Я US, an R-based graphical user interface that implements over a dozen popular Bioconductor packages to offer researchers a streamlined workflow for routine differential microarray expression data analysis without the need to learn R language. In order to enable a more accurate analysis and interpretation of microarray data, we incorporated the latest custom probe re-definition and re-annotation for Affymetrix and Illumina chips. A versatile microarray results output utility tool was also implemented for easy and fast generation of input files for over 20 of the most widely used functional analysis software programs. Conclusion Coupled with a well-designed user interface, Microarray Я US leverages cutting edge Bioconductor packages for researchers with no knowledge in R language. It also enables a more reliable and accurate microarray data analysis and expedites downstream functional analysis of microarray results.

  19. Versatile High Throughput Microarray Analysis for Marine Glycobiology

    DEFF Research Database (Denmark)

    Asunción Salmeán, Armando

    to concept proof that is possible to use the Comprehensive Microarray Polymer Profiling (CoMPP) as a tool for other extracellular matrixes such as marine animals and not only for algal or plant cell walls. Thus, we discovered fucoidan and cellulose epitopes in several tissues of various marine......Algal cell walls are a type of extracellular matrix mainly made of polysaccharides, highly diverse, complex and heterogeneous. They possess unique and original polymers in their composition including several polysaccharides with industrial relevance such as agar, agarose, carrageenans (red algae......) alginates and sulphated fucans (brown algae). Part of this work studied the polysaccharide composition of macroalgal cell walls, with special focus into the brown algal cell walls in a context of evolution, wall architecture and embryo development. Thus, we found evidence of the presence of (1...

  20. Graph-driven features extraction from microarray data

    CERN Document Server

    Vert, J P; Vert, Jean-Philippe; Kanehisa, Minoru

    2002-01-01

    Gene function prediction from microarray data is a first step toward better understanding the machinery of the cell from relatively cheap and easy-to-produce data. In this paper we investigate whether the knowledge of many metabolic pathways and their catalyzing enzymes accumulated over the years can help improve the performance of classifiers for this problem. The complex network of known biochemical reactions in the cell results in a representation where genes are nodes of a graph. Formulating the problem as a graph-driven features extraction problem, based on the simple idea that relevant features are likely to exhibit correlation with respect to the topology of the graph, we end up with an algorithm which involves encoding the network and the set of expression profiles into kernel functions, and performing a regularized form of canonical correlation analysis in the corresponding reproducible kernel Hilbert spaces. Function prediction experiments for the genes of the yeast S. Cerevisiae validate this appro...