A panoramic view of cell population dynamics in mammalian aging
Open accessPublished version of a preprint
Abstract
To elucidate aging-associated cellular population dynamics, we present PanSci, a single-cell transcriptome atlas profiling >20 million cells from 623 mouse tissues across different life stages, sexes, and genotypes. This comprehensive dataset reveals >3000 different cellular states and >200 aging-associated cell populations. Our panoramic analysis uncovered organ-, lineage-, and sex-specific shifts in cellular dynamics during life-span progression. Moreover, we identify both systematic and organ-specific alterations in immune cell populations associated with aging. We further explored the regulatory roles of the immune system on aging and pinpointed specific age-related cell population expansions that are lymphocyte dependent. Our “cell-omics” strategy enhances comprehension of cellular aging and lays the groundwork for exploring the complex cellular regulatory networks in aging and aging-associated diseases.
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The refined senescence scoring pipeline uncovered an age-dependent increase in senescent cells in mouse lung, heart, kidney, and liver.
“our refined senescence scoring pipeline uncovered an age-dependent increase in senescent cells (Figure 4I; Figure S9A–H)”
From SenCat: Cataloging human cell senescence through multi-omic profiling of multiple senescent primary cell types (2026) · cites this paper as [29]
The Results section reports age-associated changes in mouse cell populations, but the passages found do not describe a refined senescence scoring pipeline or an increase in senescent cells across lung, heart, kidney, and liver. Searches for senescence scoring, senescent cells, and senescence markers did not locate that finding in our copy. (LLM, conf=0.77)
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References 108 · Cited by 95
- Authors
- Zhang, Z., Schaefer, C., Jiang, W., Lu, Z., Lee, J., Sziraki, A., Abdulraouf, A., Wick, B., Haeussler, M., Li, Z., Molla, G., Satija, R., Zhou, W., & Cao, J.
- Affiliations
- Rockefeller University (US)
- University of California, Santa Cruz (US)
- New York Genome Center (US)
- Corresponding author
- Zhou, Wei
- Cao, Junyue
- ORCID
- Venue
- Science
- Published
- 2025-01-17
- Volume
- 387
- Issue
- 6731
- Pages
- eadn3949-eadn3949
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- PMC
- PMC11910726
- OpenAlex
- W4404795579
- Semantic Scholar
- 3eb75182d99410329128884679de3564cd17ca18
- Cited by
- 95
- References
- 108
- Citations by year
- 2026: 55 · 2025: 40
- FWCI
- 12.80
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Licence
- cc-by-nc-nd
- Locations
- Science (publishedVersion)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- PubMed Central (submittedVersion, cc-by-nc-nd)
- Funders
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
- National Institutes of Health (OT2OD033760)
- National Institute on Aging (R01AG076932)
- National Institute of Mental Health (RF1MH132662)
- National Human Genome Research Institute (DP2HG012522, U24HG002371, RM1HG011014)
- National Institute of General Medical Sciences (T32GM152349)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Aging › Genetics, Aging, and Longevity in Model Organisms
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Chromatin Dynamics
- Keywords
- cellular aging, cell population dynamics, single-cell transcriptome atlas, mouse tissues, immune cell subsets, sex differences, organ-specific aging, lymphocyte expansion
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