2003
DOI: 10.1038/ng1180
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PGC-1α-responsive genes involved in oxidative phosphorylation are coordinately downregulated in human diabetes

Abstract: DNA microarrays can be used to identify gene expression changes characteristic of human disease. This is challenging, however, when relevant differences are subtle at the level of individual genes. We introduce an analytical strategy, Gene Set Enrichment Analysis, designed to detect modest but coordinate changes in the expression of groups of functionally related genes. Using this approach, we identify a set of genes involved in oxidative phosphorylation whose expression is coordinately decreased in human diab… Show more

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Cited by 8,224 publications
(6,991 citation statements)
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References 32 publications
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“…We focused on differentially expressed protein‐coding genes defined as those having an absolute log fold change greater than 1 and adjusted p‐value less than 0.05 (Supporting Information Table S1). Mouse genes were mapped to human orthologs using Mouse Genome Informatics orthology reports, and pathway analysis was performed based on Gene Set Enrichment Analysis (GSEA) (Mootha et al, 2003). …”
Section: Resultsmentioning
confidence: 99%
“…We focused on differentially expressed protein‐coding genes defined as those having an absolute log fold change greater than 1 and adjusted p‐value less than 0.05 (Supporting Information Table S1). Mouse genes were mapped to human orthologs using Mouse Genome Informatics orthology reports, and pathway analysis was performed based on Gene Set Enrichment Analysis (GSEA) (Mootha et al, 2003). …”
Section: Resultsmentioning
confidence: 99%
“…gene expression data from liver, muscle, and heart tissue using GSEA (gene set enrichment analysis) (Mootha et al ., 2003; Subramanian et al ., 2005); unfortunately, adipose gene expression information was not available from the AGEMAP study, and an insufficient number of samples were available from the Pearson et al . study for GSEA.…”
Section: Resultsmentioning
confidence: 99%
“…Heilbronn et al (13) have demonstrated that different biomarkers of mitochondrial biogenesis and metabolism are reduced in overweight and obese insulin-resistant subjects. Two other studies using cDNA microarrays have reported that mitochondrial metabolism in both muscle and adipocytes is disturbed in subjects with insulin resistance, type 2 diabetes and even in subjects with family history for diabetes (28,32). Both trials found a decrease in the expression of a subset of genes involved in mitochondrial oxidative metabolism, suggesting that impaired regulation of mitochondrial function could be an important mechanism linked to obesity and the metabolic syndrome.…”
Section: Discussionmentioning
confidence: 96%