A panoramic view of cell population dynamics in mammalian aging
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.
Authors
- Jasper Lee
- Brittney Wick
- Chloe Schaefer (ORCID: https://orcid.org/0009-0008-2913-9352)
- Junyue Cao (ORCID: https://orcid.org/0000-0003-4097-489X)
- Gesmira Molla (ORCID: https://orcid.org/0000-0002-8628-5056)
- Andras Sziraki
- Abdulraouf Abdulraouf (ORCID: https://orcid.org/0000-0003-4452-4781)
- Rahul Satija (ORCID: https://orcid.org/0000-0002-1479-664X)
- Zehao Zhang (ORCID: https://orcid.org/0000-0002-7568-5775)
- Maximilian Haeussler (ORCID: https://orcid.org/0000-0001-8721-8253)
- Ziyu Lu (ORCID: https://orcid.org/0000-0003-4321-2727)
- Zhuoyan Li (ORCID: https://orcid.org/0009-0002-3486-5785)
- Weirong Jiang
- Wei Zhou (ORCID: https://orcid.org/0000-0003-4236-4091)
Institutions
- University of California, Santa Cruz (US)
- Tri-Institutional PhD Program in Chemical Biology (US)
- New York Genome Center (US)
- New York University (US)
- Rockefeller University (US)
Publication Details
- Journal
- Science
- Published
- 2024-11-28
- DOI
- https://doi.org/10.1126/science.adn3949
- Citations
- 47
- Primary Topic
- Single-cell and spatial transcriptomics
- Type
- article
- Field-Weighted Citation Impact
- 10.99
Funders
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
- National Institutes of Health
- National Institute of Mental Health
- National Human Genome Research Institute