Faculty Opinions recommendation of PGC-1alpha-responsive genes involved in oxidative phosphorylation are coordinately downregulated in human diabetes.

By M. Hofker. 2003

2,516 citations recorded by the source corpus.

Subfields: Cancer Research, Molecular Biology, Physiology

View Paper: https://www.semanticscholar.org/paper/b509d78c3889d3d9faf314fd526ac569325b3b2c

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Citations in the corpus

Antioxidants prevent health-promoting effects of physical exercise in humans (2009, background): “The transcriptional coactivator PGC1 has been previously linked to type 2 diabetes in humans (21, 22).”
Transgenerational epigenetic programming via sperm microRNA recapitulates effects of paternal stress (2015, background): “multi-miR groups revealed the robust enrichment of curated gene sets for collagen formation and extracellular matrix organization in the PBS group (26, 27), indicating that the expression of member genes was decreased in the multi-miR–injected group (Fig.”
An embryonic stem cell–like gene expression signature in poorly differentiated aggressive human tumors (2008, background): “As different subsets of the many genes involved in these networks may be active in different individual tumors, we reasoned that expression analyses of gene sets (groups of genes related through a common function, pathway or other property) could prove more revealing than single-gene analyse”
Reduced mitochondrial density and increased IRS-1 serine phosphorylation in muscle of insulin-resistant offspring of type 2 diabetic parents. (2005, neutral): “…smaller sample size of the present study, it may also be related to the fact that our IR offspring were young, lean, and healthy, in contrast to the subjects in the other studies, who were older, obese, and diabetic (8, 9) or, in the case of the first-degree nondiabetic relatives, overweight (9).”
Metabolic control through the PGC-1 family of transcription coactivators. (2005, background): “…PGC-1 coactivators Transcription factor PGC-1α PGC-1β Function References NRF-1 + + mitochondrial genes Wu et al., 1999 NRF-2 + ND mitochondrial genes Mootha et al., 2003 PPARα + + fatty-acid oxidation Vega et al., 2000 PPARβ/δ + ND fatty-acid oxidation Wang et al., 2003 PPARγ + + UCP1/GyK…”
Mitochondrial remodeling in adipose tissue associated with obesity and treatment with rosiglitazone. (2004, background): “A link between insulin resistance and the mitochondrial oxidative phosphorylation pathway has recently emerged in the analysis of genes expressed in human populations of insulin-resistant individuals (25, 26).”
limma powers differential expression analyses for RNA-sequencing and microarray studies (2015, background): “Gene set enrichment analysis (GSEA) is an approach that correlates a large database of co-regulated gene sets with respect to a microarray or RNA-seq data set (62,63).”
Alternative M2 activation of Kupffer cells by PPARdelta ameliorates obesity-induced insulin resistance. (2008, background): “Since reduction in oxidative phosphorylation (OXPHOS) is causally linked to development of insulin resistance in mice and humans (Mootha et al., 2003; Patti et al., 2003; Petersen et al., 2003; Vianna et al., 2006), we looked for evidence ofmitochondrialdysfunction inall three tissues.”
Pathway level analysis of gene expression using singular value decomposition (2005, methodology): “[9].”
Germinal Center Dynamics Revealed by Multiphoton Microscopy Using a Photoactivatable Fluorescent Reporter (2010, neutral): “(D) GSEA analysis showing enrichment of gene signatures of CD40 and BCR ligation (gene sets obtained from the literature) in LZ cells.”
Evolving gene/transcript definitions significantly alter the interpretation of GeneChip data (2005, methodology): “…in the ﬁnal differentially expressed gene list or ranking not only inﬂuences the selection of genes for follow-up studies but also changes the results for function category-based analysis, such as Gene Set Enrichment Analysis and the Fisher’s Exact Test using func-25 tional categories (20,21).”
Semiparametric Regression of Multidimensional Genetic Pathway Data: Least‐Squares Kernel Machines and Linear Mixed Models (2007, neutral): “…are often downstream genes, so moderate changes in many genes may give more insight into biological mechanisms than dramatic change in a single gene (Mootha et al., 2003); (3) individually highly ranked genes can be poorly annotated and are often not re-producible across studies (Fortunel et…”
Deficiency of subsarcolemmal mitochondria in obesity and type 2 diabetes. (2005, background): “Two recently published studies using gene array expression analyses have reported a significant decrease in the nuclear expression of genes encoding proteins of oxidative phosphorylation and other mitochondrial proteins in type 2 diabetes (42,43).”