Machine learning-based morphological quantification of replicative senescence in human fibroblasts
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geriatrics and Gerontology,Aging
Link
https://link.springer.com/content/pdf/10.1007/s11357-023-01007-w.pdf
Reference61 articles.
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2. Fumagalli M, Rossiello F, Mondello C. d'Adda di Fagagna F: Stable cellular senescence is associated with persistent DDR activation. PLoS One. 2014;9:e110969.
3. Campisi J. d'Adda di Fagagna F: Cellular senescence: when bad things happen to good cells. Nat Rev Mol Cell Biol. 2007;8:729–40.
4. Gorgoulis V, Adams PD, Alimonti A, Bennett DC, Bischof O, Bishop C, Campisi J, Collado M, Evangelou K, Ferbeyre G, et al. Cellular Senescence: Defining a Path Forward. Cell. 2019;179:813–27.
5. Lopez-Otin C, Blasco MA, Partridge L, Serrano M, Kroemer G. The hallmarks of aging. Cell. 2013;153:1194–217.
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