Proteomics

Dataset Information

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A proteomics data of 30 tissues in aging female rhesus macaques (Macaca mulatta)


ABSTRACT: A systematic investigation of aging patterns across virtually all major tissues in non-human primates, our evolutionarily closest relatives, can provide valuable insights into tissue aging in humans, which is still elusive largely due to the difficulty in sampling. Here, we generated and analyzed multi-omics data, including transcriptome, proteome, and metabolome, from 30 tissues of 17 female rhesus macaques (Macaca mulatta) aged 3 to 27 years. We found that certain molecular features, such as increased inflammation, are consistent across tissues and align with findings in mice and humans. We further revealed that tissue aging in macaques is asynchronous and can be classified into two distinct types, with one type exhibiting more pronounced aging degree, likely associated with decreased mRNA translation efficiency, and predominantly contributing to whole-body aging. This work provides a comprehensive molecular landscape of aging in non-human primate tissues and links translation efficiency to tissue-specific aging.

INSTRUMENT(S):

ORGANISM(S): Macaca Mulatta (rhesus Macaque)

TISSUE(S): Heart, Brain, Lung, Liver, Colon, Adipose Tissue, Kidney

SUBMITTER: Gong-Hua Li  

LAB HEAD: Qing-Peng Kong

PROVIDER: PXD066108 | Pride | 2025-11-03

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
Adipose_FPEP191625117_X16068.raw Raw
Adipose_FPEP191625137_X11062.raw Raw
Adipose_FPEP191625346_X12372.raw Raw
Adipose_FPEP191625367_X92338.raw Raw
Adipose_FPEP191625397_X16364.raw Raw
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