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Series GSE8028 Query DataSets for GSE8028
Status Public on May 01, 2008
Title Pathway analysis of expression QTL data in fat identifies a role for cyclin H in oxidative phosphorylation
Organism Mus musculus
Experiment type Expression profiling by array
Summary Genome-wide gene expression profiling has been extensively used to generate biological hypotheses based on differential expression. Recently, many studies have used microarrays to measure gene expression levels across genetic mapping populations. These gene expression phenotypes have been used for genome-wide association analyses, an analysis referred to as expression QTL (eQTL) mapping. Here, eQTL analysis was performed in fat issue from 28 inbred strains of mice. We focused our analysis on “trans-eQTL bands”, defined as instances in which the expression patterns of many genes were all associated to a common genetic locus. Genes comprising trans-eQTL bands were screened for enrichments in functional gene sets representing known biological pathways, while genes located at associated trans-eQTL band loci were considered candidate transcriptional modulators. We demonstrate that these patterns reflect previously characterized relationships between known upstream transcriptional regulators and their downstream target genes. Moreover, we used this strategy to identify both novel regulators and novel members of known pathways. Finally, based on putative regulatory relationship identified in our analysis, we validated in vitro a previously uncharacterized role for cyclin H in the regulation of oxidative phosphorylation.
Keywords: strain comparison
 
Overall design tissues were taken from different mouse strains under identical baseline conditions
 
Contributor(s) Wu C, Delano DL, Mitro N, Su SV, Janes J, McClurg P, Batalov S, Welch GL, Zhang J, Orth AP, Walker JR, Glynne RJ, Cooke MP, Takahashi JS, Shimomura K, Kohsaka A, Bass J, Saez E, Wiltshire T, Su AI
Citation(s) 18464898
Submission date Jun 05, 2007
Last update date Mar 17, 2012
Contact name John R Walker
E-mail(s) jwalker@gnf.org
Phone 858-812-1636
Organization name Genomics Institute of the Novartis Research Foundation
Lab Genetics Core
Street address 10675 John Jay Hopkins
City San Diego
State/province CA
ZIP/Postal code 92121
Country USA
 
Platforms (1)
GPL1073 GNF1M
Samples (28)
GSM198202 A/J
GSM198203 AKR/J
GSM198204 BALB/cByJ
Relations
BioProject PRJNA100837

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SOFT formatted family file(s) SOFTHelp
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Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE8028_RAW.tar 156.3 Mb (http)(custom) TAR (of CEL)
Processed data included within Sample table

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