Tissue specific and non-specific changes in gene expression by aging and by early stage CR

Fu, Chunxiao; Hickey, Morgen; Morrison, Melissa; McCarter, Roger; Han, Eun-Soo

doi:10.1016/j.mad.2006.09.006

Cited by 45 publications

(49 citation statements)

References 55 publications

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“…We thus compiled unbiased compatible gene lists from a common population (genes on the MM5 array to which Ensembl identifiers could be assigned) for genes found to be responsive to DR and found to show ageing-related changes in methylation status. Genes regulated by DR, leading to a change in abundance of the corresponding mRNA, were identified from published studies involving DR in mice (Lee et al 2002;Higami et al 2004;Massaro et al 2004;Tsuchiya et al 2004;Han and Hickey 2005;Dhahbi et al 2006;Fu et al 2006;Selman et al 2006;Sharov et al 2008;Swindell 2008;Wu et al 2008). We accepted for each published study the authors' list of regulated genes and used data regardless of tissue investigated.…”

Section: Resultsmentioning

confidence: 99%

Effects of Sirt1 on DNA methylation and expression of genes affected by dietary restriction

Ions

Wakeling

Bosomworth

et al. 2012

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Changes in DNA methylation across the life course may contribute to the ageing process. We hypothesised that some effects of dietary restriction to extend lifespan and/or mitigate against features of ageing result from changes in DNA methylation, so we determined if genes that respond to dietary restriction also show age-related changes in DNA methylation. In support of our hypothesis, the intersection of lists of genes compiled from published sources that (1) were differentially expressed in response to dietary restriction and (2) showed altered methylation with increased age was greater than expected. We also hypothesised that some effects of Sirt1, which may play a pivotal role in beneficial effects of dietary restriction, are mediated through DNA methylation. We thus measured effects of Sirt1 overexpression and knockdown in a human cell line on DNA methylation and expression of a panel of eight genes that respond to dietary restriction and show altered methylation with age. Six genes were affected at the level of DNA methylation, and for six expressions were affected. In further support of our hypothesis, we observed by DNA microarray analysis that genes showing differential expression in response to Sirt1 knockdown were over-represented in the complied list of genes that respond to dietary restriction. The findings reveal that

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Section: Resultsmentioning

confidence: 99%

Effects of Sirt1 on DNA methylation and expression of genes affected by dietary restriction

Ions

Wakeling

Bosomworth

et al. 2012

AGE

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“…Similar studies have evaluated the transcriptome in adipose tissue as a function of aging and/or caloric restriction in rodent models (Higami et al 2004;Fu et al 2006;Linford et al 2007;Swindell 2008). Studies have examined 10-11-month-old male C57BL/6 mice maintained under control or long-term (9-month) caloric restriction (Higami et al 2004).…”

Section: Discussionmentioning

confidence: 99%

“…The modulated pathways included those relating to amino acid, carbohydrate, and lipid metabolism, mitochondrial function, insulin signaling, and inflammation (Higami et al 2004). Independent studies compared the effect of aging on gene expression in heart, liver, and hypothalamus from young (4-6 months) and old (26-28 months) C57BL/6 mice (Fu et al 2006). Age-dependent significant differences were determined in 309 (heart), 1,819 (liver), and 1,085 (hypothalamus) gene expression profiles (Fu et al 2006).…”

Section: Discussionmentioning

confidence: 99%

“…Independent studies compared the effect of aging on gene expression in heart, liver, and hypothalamus from young (4-6 months) and old (26-28 months) C57BL/6 mice (Fu et al 2006). Age-dependent significant differences were determined in 309 (heart), 1,819 (liver), and 1,085 (hypothalamus) gene expression profiles (Fu et al 2006). Furthermore, similar to the current study, only 32% (100, heart), 13% (240, liver), and 20% (215, hypothalamus) of these genes were coordinately expressed as a function of aging in two tissues and only nine genes total in all three tissues (Fu et al 2006).…”

Section: Discussionmentioning

confidence: 99%

“…Age-dependent significant differences were determined in 309 (heart), 1,819 (liver), and 1,085 (hypothalamus) gene expression profiles (Fu et al 2006). Furthermore, similar to the current study, only 32% (100, heart), 13% (240, liver), and 20% (215, hypothalamus) of these genes were coordinately expressed as a function of aging in two tissues and only nine genes total in all three tissues (Fu et al 2006). Comparisons between visceral adipose tissue transcriptomes of ad libitum fed 4-month and 28-month rats determined that a total of 910 genes displayed a 2-fold age-dependent variation (Linford et al 2007).…”

Section: Discussionmentioning

confidence: 99%

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Biological aging alters circadian mechanisms in murine adipose tissue depots

Sutton

Ptitsyn

Floyd

et al. 2012

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Biological aging alters the metabolism and volume of adipose tissue depots. Recent evidence suggests that circadian mechanisms play a role in promoting adipogenesis, obesity, and lipodystrophy.The current study compared cohorts of younger (5-9 months) and older (24-28 months) C57BL/6 mice as a function of biological age and circadian time. Advanced age significantly reduced the weight of the AGE (2013) 35:533-547 DOI 10.1007 Electronic supplementary material The online version of this article (doi:10.1007/s11357-012-9389-7) contains supplementary material, which is available to authorized users. brown, epididymal, inguinal, and retroperitoneal adipose depots but not total body weight. The older mice reduced their physical activity by >50% and delayed their activity initiation after light offset. The expressed transcriptome in brown and white adipose depots and liver of both cohorts displayed evidence of circadian rhythmicity; however, the oscillating mRNAs differed significantly between age groups and across tissues. The amplitude of Cry1, a component of the negative arm of the circadian apparatus, and downstream regulators such as Rev-erbα were elevated in the older relative to the younger cohorts as a function of circadian time. Overall, transcript levels differed significantly for 557 (inguinal adipose), 1,016 (liver), and 1,021 (brown adipose) expressed sequences between the cohorts as a function of age. These included transcripts encoding proteins within the canonical and non-canonical Wnt pathways. Since the Wnt pathway regulates adipose stem cell differentiation and shares a critical enzyme, glycogen synthase kinase 3β, with the circadian mechanism, the intersection between these two fundamental regulatory mechanisms merits further investigation with respect to biological aging of adipose tissues.

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