Ageing transcriptome meta-analysis reveals similarities and differences between key mammalian tissues.

ABSTRACT: By combining transcriptomic data with other data sources, inferences can be made about functional changes during ageing. Thus, we conducted a meta-analysis on 127 publicly available microarray and RNA-Seq datasets from mice, rats and humans, identifying a transcriptomic signature of ageing across species and tissues. Analyses on subsets of these datasets produced transcriptomic signatures of ageing for brain, heart and muscle. We then applied enrichment analysis and machine learning to functionally describe these signatures, revealing overexpression of immune and stress response genes and underexpression of metabolic and developmental genes. Further analyses revealed little overlap between genes differentially expressed with age in different tissues, despite ageing differentially expressed

SUBMITTER: Palmer D 

PROVIDER: S-EPMC7906136 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature