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The Cancer SENESCopedia: A delineation of cancer cell senescence
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 sen...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cell Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8333195/ https://www.ncbi.nlm.nih.gov/pubmed/34320349 http://dx.doi.org/10.1016/j.celrep.2021.109441 |
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author | Jochems, Fleur Thijssen, Bram De Conti, Giulia Jansen, Robin Pogacar, Ziva Groot, Kelvin Wang, Liqin Schepers, Arnout Wang, Cun Jin, Haojie Beijersbergen, Roderick L. Leite de Oliveira, Rodrigo Wessels, Lodewyk F.A. Bernards, René |
author_facet | Jochems, Fleur Thijssen, Bram De Conti, Giulia Jansen, Robin Pogacar, Ziva Groot, Kelvin Wang, Liqin Schepers, Arnout Wang, Cun Jin, Haojie Beijersbergen, Roderick L. Leite de Oliveira, Rodrigo Wessels, Lodewyk F.A. Bernards, René |
author_sort | Jochems, Fleur |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8333195 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Cell Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-83331952021-08-09 The Cancer SENESCopedia: A delineation of cancer cell senescence Jochems, Fleur Thijssen, Bram De Conti, Giulia Jansen, Robin Pogacar, Ziva Groot, Kelvin Wang, Liqin Schepers, Arnout Wang, Cun Jin, Haojie Beijersbergen, Roderick L. Leite de Oliveira, Rodrigo Wessels, Lodewyk F.A. Bernards, René Cell Rep Resource 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. Cell Press 2021-07-27 /pmc/articles/PMC8333195/ /pubmed/34320349 http://dx.doi.org/10.1016/j.celrep.2021.109441 Text en © 2021 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Resource Jochems, Fleur Thijssen, Bram De Conti, Giulia Jansen, Robin Pogacar, Ziva Groot, Kelvin Wang, Liqin Schepers, Arnout Wang, Cun Jin, Haojie Beijersbergen, Roderick L. Leite de Oliveira, Rodrigo Wessels, Lodewyk F.A. Bernards, René The Cancer SENESCopedia: A delineation of cancer cell senescence |
title | The Cancer SENESCopedia: A delineation of cancer cell senescence |
title_full | The Cancer SENESCopedia: A delineation of cancer cell senescence |
title_fullStr | The Cancer SENESCopedia: A delineation of cancer cell senescence |
title_full_unstemmed | The Cancer SENESCopedia: A delineation of cancer cell senescence |
title_short | The Cancer SENESCopedia: A delineation of cancer cell senescence |
title_sort | cancer senescopedia: a delineation of cancer cell senescence |
topic | Resource |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8333195/ https://www.ncbi.nlm.nih.gov/pubmed/34320349 http://dx.doi.org/10.1016/j.celrep.2021.109441 |
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