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dc.contributor.authorBoedigheimer, Michael J
dc.contributor.authorWolfinger, Russell D
dc.contributor.authorBass, Michael B
dc.contributor.authorBushel, Pierre R
dc.contributor.authorChou, Jeff W
dc.contributor.authorCooper, Matthew
dc.contributor.authorCorton, J Christopher
dc.contributor.authorFostel, Jennifer
dc.contributor.authorHester, Susan
dc.contributor.authorLee, Janice S
dc.contributor.authorLiu, Fenglong
dc.contributor.authorQian, Hui-Rong
dc.contributor.authorPettit, Syril
dc.contributor.authorThompson, Karol L
dc.contributor.authorLiu, Jie
dc.contributor.authorQuackenbush, John
dc.date.accessioned2010-11-18T18:27:47Z
dc.date.issued2008
dc.identifier.citationBoedigheimer, Michael J., Russell D. Wolfinger, Michael B. Bass, Pierre R. Bushel, Jeff W. Chou, Matthew Cooper, J. Christopher Corton, et al. 2008. Sources of variation in baseline gene expression levels from toxicogenomics study control animals across multiple laboratories. BMC Genomics 9:285.en_US
dc.identifier.issn1471-2164en_US
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:4582568
dc.description.abstractBackground: The use of gene expression profiling in both clinical and laboratory settings would be enhanced by better characterization of variance due to individual, environmental, and technical factors. Meta-analysis of microarray data from untreated or vehicle-treated animals within the control arm of toxicogenomics studies could yield useful information on baseline fluctuations in gene expression, although control animal data has not been available on a scale and in a form best served for data-mining. Results: A dataset of control animal microarray expression data was assembled by a working group of the Health and Environmental Sciences Institute's Technical Committee on the Application of Genomics in Mechanism Based Risk Assessment in order to provide a public resource for assessments of variability in baseline gene expression. Data from over 500 Affymetrix microarrays from control rat liver and kidney were collected from 16 different institutions. Thirty-five biological and technical factors were obtained for each animal, describing a wide range of study characteristics, and a subset were evaluated in detail for their contribution to total variability using multivariate statistical and graphical techniques. Conclusion: The study factors that emerged as key sources of variability included gender, organ section, strain, and fasting state. These and other study factors were identified as key descriptors that should be included in the minimal information about a toxicogenomics study needed for interpretation of results by an independent source. Genes that are the most and least variable, gender-selective, or altered by fasting were also identified and functionally categorized. Better characterization of gene expression variability in control animals will aid in the design of toxicogenomics studies and in the interpretation of their results.en_US
dc.language.isoen_USen_US
dc.publisherBioMed Centralen_US
dc.relation.isversionofdoi:10.1186/1471-2164-9-285en_US
dc.relation.hasversionhttp://www.ncbi.nlm.nih.gov/pmc/articles/PMC2453529/pdf/en_US
dash.licenseLAA
dc.titleSources of Variation in Baseline Gene Expression Levels from Toxicogenomics Study Control Animals across Multiple Laboratoriesen_US
dc.typeJournal Articleen_US
dc.description.versionVersion of Recorden_US
dc.relation.journalBMC Genomicsen_US
dash.depositing.authorQuackenbush, John
dc.date.available2010-11-18T18:27:47Z
dash.affiliation.otherSPH^Biostatisticsen_US
dc.identifier.doi10.1186/1471-2164-9-285*
dash.authorsorderedfalse
dash.contributor.affiliatedLiu, Jie
dash.contributor.affiliatedQuackenbush, John
dc.identifier.orcid0000-0002-2702-5879


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