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Transcriptome analysis of metabolic tissues in young and aged mice

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NIAID Data Ecosystem2026-03-12 收录
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https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE120290
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Studies on aging have largely included one or two OMICS layers, which may not necessarily reflect the signatures of other layers. Moreover, most aging studies have often compared very young (4-5 wks) mice with old (24 months) mice which does not reflect the aging transition after the attainment of adulthood. Therefore, we aimed to study and compared muti-OMICS aging signatures across key metabolic tissues of mature adults (6 months) and old (24 months) C57BL/6J mice (the most commonly used mouse strain). We compared the differentially regulated genes and enriched pathways for transcriptome, proteome and epigenome (H3K27ac, H3K4me3, H3K27me3, DNA methylation) across different tissues. Here are transcriptome data from Affymatrix microarrays. The goal of this study is to establish the global gene expression profiles of metabolic tissues from young and aged mice.
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2020-10-13
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