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A panoramic view of cell population dynamics in mammalian aging

Zehao Zhang, Chloe Schaefer, Weirong Jiang, Ziyu Lu, Jasper Lee, Andras Sziraki, Abdulraouf Abdulraouf, Brittney Wick, Maximilian Haeussler, Zhuoyan Li, Gesmira Molla, Rahul Satija, Wei Zhou, Junyue Cao

Science · 2024 · ▲ 85 citations

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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Provenance

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OpenAlex
DOI
10.1126/science.adn3949
Canonical
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2026-07-25 MST

Cite this

APA
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., &amp; Cao, J. (2024). A panoramic view of cell population dynamics in mammalian aging. <em>Science</em>. https://doi.org/10.1126/science.adn3949
Vancouver
Zhang Z, Schaefer C, Jiang W, Lu Z, Lee J, Sziraki A, et al. A panoramic view of cell population dynamics in mammalian aging. Science. 2024. doi:10.1126/science.adn3949.
BibTeX
@unpublished{zehao2024Apanor, title = {A panoramic view of cell population dynamics in mammalian aging}, author = {Zehao Zhang and Chloe Schaefer and Weirong Jiang and Ziyu Lu and Jasper Lee and Andras Sziraki and Abdulraouf Abdulraouf and Brittney Wick and Maximilian Haeussler and Zhuoyan Li and Gesmira Molla and Rahul Satija and Wei Zhou and Junyue Cao}, journal = {Science}, year = {2024}, doi = {10.1126/science.adn3949}, }

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