Other
14 Authors
- Jiang W,
- Zhou W,
- Haeussler M,
- Schaefer C,
- Li Z,
- Lee J,
- Abdulraouf A,
- Cao J,
- Satija R,
- Sziraki A,
- Wick B,
- Zhang Z,
- Lu Z,
- Molla G
| First Author | Zhang Z | Year | 2024 |
| Journal | Science | Pages | eadn3949 |
| PubMed ID | 39607904 | Mgi Jnum | J:359770 |
| Mgi Id | MGI:7788903 | Doi | 10.1126/science.adn3949 |
| Citation | Zhang Z, et al. (2024) A panoramic view of cell population dynamics in mammalian aging. Science :eadn3949 |
| abstractText | To elucidate aging-associated cellular population dynamics, we present PanSci, a single-cell transcriptome atlas profiling over 20 million cells from 623 mouse tissues across different life stages, sexes, and genotypes. This comprehensive dataset reveals more than 3,000 unique cellular states and over 200 aging-associated cell populations. Our panoramic analysis uncovered organ-, lineage-, and sex-specific shifts of cellular dynamics during lifespan 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. |
