Cited by 11Genetics, Aging, and Longevity in Model OrganismsSingle-cell and spatial transcriptomicsTelomeres, Telomerase, and Senescence

Cellular age explains variation in age-related cell-to-cell transcriptome variability

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Yang, Ming, Harrison, Benjamin R., Promislow, Daniel E.L.·2023·Genome Research

Published version of a preprint

Abstract

Organs and tissues age at different rates within a single individual. Such asynchrony in aging has been widely observed at multiple levels, from functional hallmarks, such as anatomical structures and physiological processes, to molecular endophenotypes, such as the transcriptome and metabolome. However, we lack a conceptual framework to understand why some components age faster than others. Just as demographic models explain why aging evolves, here we test the hypothesis that demographic differences among cell types, determined by cell-specific differences in turnover rate, can explain why the transcriptome shows signs of aging in some cell types but not others. Through analysis of mouse single-cell transcriptome data across diverse tissues and ages, we find that cellular age explains a large proportion of the variation in the age-related increase in transcriptome variance. We further show that long-lived cells are characterized by relatively high expression of genes associated with proteostasis and that the transcriptome of long-lived cells shows greater evolutionary constraint than short-lived cells. In contrast, in short-lived cell types, the transcriptome is enriched for genes associated with DNA repair. Based on these observations, we develop a novel heuristic model that explains how and why aging rates differ among cell types.

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References 80 · Cited by 11

Authors
Yang, M., Harrison, B. R., & Promislow, D. E. L.
Affiliations
University of Washington (US)
Corresponding author
Promislow, Daniel E.L.
Venue
Genome Research
Published
2023-11
Volume
33
Issue
11
Pages
1906-1916
ISSN
  • 1088-9051 (ISSN-L)
  • 1549-5469
OpenAlex
W4388725868
Cited by
11
References
80
Citations by year
2026: 5 · 2025: 3 · 2024: 3
Type
posted content
Language
en
Open access
Locations
  • Genome Research (publishedVersion)
  • PubMed Central (publishedVersion, cc-by-nc)
  • PubMed (publishedVersion)
  • HighWire Press Open Archive (submittedVersion)
  • Rare & Special e-Zone (The Hong Kong University of Science and Technology) (submittedVersion)
Funders
  • National Institutes of Health (R01 AG063371, R61 AG078428)
  • Norn Group Impetus
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Aging › Genetics, Aging, and Longevity in Model Organisms
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
  • Health Sciences › Medicine › Physiology › Telomeres, Telomerase, and Senescence
Keywords
tissue aging, proteostasis, DNA repair, evolutionary constraints, single-cell transcriptomics
MeSH terms
Aging, Animals, Cellular Senescence, Gene Expression Profiling, Mice, Single-Cell Analysis, Transcriptome

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