This website accompanies the manuscript
Cancer SENESCopedia – delineation of cancer cell senescence.
Summary: Cellular senescence is defined as a stable proliferation arrest that can be triggered by multiple stresses. Most knowledge about senescent cells has been 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 of senescent cancer cells are mainly determined by cell line intrinsic properties, rather than the senescence trigger. Using machine learning, we established a gene expression classifier that can be used for the detection of senescence in cancer cell samples. The expression profiles and senescence classifier are available as an interactive online Cancer SENESCyclopedia.
Gene expression: view the gene expression of a particular gene
Classifier: calculate senescence scores from gene expression data