2012
DOI: 10.1039/c2mb05255e
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A meta-analysis of caloric restriction gene expression profiles to infer common signatures and regulatory mechanisms

Abstract: Caloric restriction, a reduction in calorie intake without malnutrition, retards age-related degeneration and extends lifespan in several organisms. CR induces multiple changes, yet its underlying mechanisms remain poorly understood. In this work, we first performed a meta-analysis of microarray CR studies in mammals and identified genes and processes robustly altered due to CR. Our results reveal a complex array of CR-induced changes and we re-identified several genes and processes previously associated with … Show more

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Cited by 80 publications
(91 citation statements)
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References 63 publications
(75 reference statements)
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“…In addition, we searched GenAge and GenDR databases (de Magalhães, Curado & Church, 2009; Plank, Wuttke, van Dam, Clarke & de Magalhaes, 2012) to test if any of our longevity signature genes were experimentally confirmed for longevity effects in yeast, flies, worms, and mice. Specifically, we checked whether the genes showing positive correlation in our list had pro‐longevity and those showing negative correlation had antilongevity effects.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…In addition, we searched GenAge and GenDR databases (de Magalhães, Curado & Church, 2009; Plank, Wuttke, van Dam, Clarke & de Magalhaes, 2012) to test if any of our longevity signature genes were experimentally confirmed for longevity effects in yeast, flies, worms, and mice. Specifically, we checked whether the genes showing positive correlation in our list had pro‐longevity and those showing negative correlation had antilongevity effects.…”
Section: Resultsmentioning
confidence: 99%
“…Our gene list was examined against GenAge/GenDR databases (de Magalhães et al., 2009; Plank et al., 2012) to determine how the longevity effects reported in model organisms relate to our gene dataset. To analyze microarray datasets, data were downloaded from Gene Expression Omnibus (GEO) database.…”
Section: Methodsmentioning
confidence: 99%
“…Interestingly, let‐363 , rps‐6 and sir‐2.1 are also in GenDR as associated with CR longevity effects (Wuttke et al ., 2012). Additionally, we found three genes so far not associated with longevity which have been suggested to play a role in CR: orthologs of fkb‐6 and gsy‐1 (both targets of rapamycin) are significantly overexpressed in mice under CR (Plank et al ., 2012). Additionally, cbp‐1 (a transcriptional factor that might be affected by TSA) is induced under CR and blocking it results in countering the protective effects of CR (Zhang et al ., 2009).…”
Section: Resultsmentioning
confidence: 99%
“…This would also be consistent with a shift towards lipolysis, which supports the idea that during CR, there is an increase in oxidation of fatty acids as opposed to glucose utilization. This compliments transcriptomic liver data from previous studies, which indicate CR increases fatty acid mobilization and metabolism in several strains of mice and rats (Selman et al ., 2006; Plank et al ., 2012; Collino et al ., 2013). Three key metabolic groups showed increased responses to the levels of restriction.…”
Section: Discussionmentioning
confidence: 99%