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Genome-wide transcript and protein analysis highlights the role of protein homeostasis in the aging mouse heart
Author(s) -
Isabela Gerdes Gyuricza,
Joel M. Chick,
Gregory R. Keele,
Andrew Deighan,
Steven C. Munger,
Ron Korstanje,
Steven P. Gygi,
Gary A. Churchill
Publication year - 2022
Publication title -
genome research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 9.556
H-Index - 297
eISSN - 1549-5469
pISSN - 1088-9051
DOI - 10.1101/gr.275672.121
Subject(s) - biology , transcriptome , proteostasis , proteome , homeostasis , senescence , longevity , ageing , genetics , microbiology and biotechnology , gene , gene expression
Investigation of the molecular mechanisms of aging in the human heart is challenging due to confounding factors, such as diet and medications, as well as limited access to tissues from healthy aging individuals. The laboratory mouse provides an ideal model to study aging in healthy individuals in a controlled environment. However, previous mouse studies have examined only a narrow range of the genetic variation that shapes individual differences during aging. Here, we analyze transcriptome and proteome data from 185 genetically diverse male and female mice at ages 6, 12 and 18 months to characterize molecular changes that occur in the aging heart. Transcripts and proteins reveal activation of pathways related to exocytosis and cellular transport with age, while processes involved in protein folding decrease with age. Additional changes are apparent only in the protein data including reduced fatty acid oxidation and increased autophagy. For proteins that form complexes, we see a decline in correlation between their component subunits with age, suggesting age-related loss of stoichiometry. The most affected complexes are themselves involved in protein homeostasis, which potentially contributes to a cycle of progressive breakdown in protein quality control with age. Our findings highlight the important role of post-transcriptional regulation in aging. In addition, we identify genetic loci that modulate age-related changes in protein homeostasis, suggesting that genetic variation can alter the molecular aging process.

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