生物
衰老
路径(计算)
细胞生物学
细胞衰老
计算生物学
遗传学
表型
基因
计算机科学
程序设计语言
作者
Vassilis G. Gorgoulis,Peter D. Adams,Andrea Alimonti,Dorothy C. Bennett,Oliver Bischof,Cleo L. Bishop,Judith Campisi,Manuel Collado,Konstantinos Evangelou,Gerardo Ferbeyre,Jesús Gil,Eiji Hara,Valery Krizhanovsky,Diana Jurk,Andrea B. Maier,Masashi Narita,Laura J. Niedernhofer,João F. Passos,Paul D. Robbins,Clemens A. Schmitt
出处
期刊:Cell
[Cell Press]
日期:2019-10-01
卷期号:179 (4): 813-827
被引量:2181
标识
DOI:10.1016/j.cell.2019.10.005
摘要
Cellular senescence is a cell state implicated in various physiological processes and a wide spectrum of age-related diseases. Recently, interest in therapeutically targeting senescence to improve healthy aging and age-related disease, otherwise known as senotherapy, has been growing rapidly. Thus, the accurate detection of senescent cells, especially in vivo, is essential. Here, we present a consensus from the International Cell Senescence Association (ICSA), defining and discussing key cellular and molecular features of senescence and offering recommendations on how to use them as biomarkers. We also present a resource tool to facilitate the identification of genes linked with senescence, SeneQuest (available at http://Senequest.net). Lastly, we propose an algorithm to accurately assess and quantify senescence, both in cultured cells and in vivo.
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