衰老
转录组
癌细胞
生物
表型
癌症
癌症研究
细胞培养
细胞生物学
基因表达
基因
细胞
遗传学
作者
Fleur Jochems,Bram Thijssen,Giulia De Conti,Robin A. Jansen,Ziva Pogacar,Kelvin Groot,Liqin Wang,Arnout Schepers,Cun Wang,Haojie Jin,Roderick L. Beijersbergen,Rodrigo Leite de Oliveira,Lodewyk F.A. Wessels,René Bernards
出处
期刊:Cell Reports
[Elsevier]
日期:2021-07-01
卷期号:36 (4): 109441-109441
被引量:110
标识
DOI:10.1016/j.celrep.2021.109441
摘要
Cellular senescence is characterized as a stable proliferation arrest that can be triggered by multiple stresses. Most knowledge about senescent cells is obtained from studies in primary cells. However, senescence features may be different in cancer cells, since the pathways that are involved in senescence induction are often deregulated in cancer. We report here a comprehensive analysis of the transcriptome and senolytic responses in a panel of 13 cancer cell lines rendered senescent by two distinct compounds. We show that in cancer cells, the response to senolytic agents and the composition of the senescence-associated secretory phenotype are more influenced by the cell of origin than by the senescence trigger. Using machine learning, we establish the SENCAN gene expression classifier for the detection of senescence in cancer cell samples. The expression profiles and senescence classifier are available as an interactive online Cancer SENESCopedia.
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