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6 results on '"Groot, Kelvin"'

1. Indisulam synergizes with palbociclib to induce senescence through inhibition of CDK2 kinase activity

Author

Pogacar, Ziva, primary, Johnson, Jackie L., additional, Krenning, Lenno, additional, De Conti, Giulia, additional, Jochems, Fleur, additional, Lieftink, Cor, additional, Velds, Arno, additional, Wardak, Leyma, additional, Groot, Kelvin, additional, Schepers, Arnout, additional, Wang, Liqin, additional, Song, Ji-Ying, additional, van de Ven, Marieke, additional, van Tellingen, Olaf, additional, Medema, Rene H., additional, Beijersbergen, Roderick L., additional, Bernards, Rene, additional, and Leite de Oliveira, Rodrigo, additional

Published
2022
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2. Genetic and compound screens uncover factors modulating cancer cell response to indisulam

Author

Pogacar, Ziva, primary, Groot, Kelvin, additional, Jochems, Fleur, additional, Dos Santos Dias, Matheus, additional, Mulero-Sánchez, Antonio, additional, Morris, Ben, additional, Roosen, Mieke, additional, Wardak, Leyma, additional, De Conti, Giulia, additional, Velds, Arno, additional, Lieftink, Cor, additional, Thijssen, Bram, additional, Beijersbergen, Roderick L, additional, Bernards, René, additional, and Leite de Oliveira, Rodrigo, additional

Published
2022
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3. Genetic and compound screens uncover factors modulating cancer cell response to indisulam

Author

Pogacar, Ziva, primary, Groot, Kelvin, additional, Jochems, Fleur, additional, Dos Santos Dias, Matheus, additional, Morris, Ben, additional, Roosen, Mieke, additional, Wardak, Leyma, additional, De Conti, Giulia, additional, Velds, Arno, additional, Lieftink, Cor, additional, Beijersbergen, Roderick L., additional, Bernards, René, additional, and de Oliveira, Rodrigo Leite, additional

Published
2021
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4. Indisulam synergizes with palbociclib to induce senescence through inhibition of CDK2 kinase activity

Author

Pogacar, Ziva, primary, Johnson, Jackie L., additional, Krenning, Lenno, additional, De Conti, Giulia, additional, Lieftink, Cor, additional, Velds, Arno, additional, Wardak, Leyma, additional, Jochems, Fleur, additional, Groot, Kelvin, additional, Schepers, Arnout, additional, Wang, Liqin, additional, Song, Ji-Ying, additional, van de Ven, Marieke, additional, van Tellingen, Olaf, additional, Medema, Rene H., additional, Beijersbergen, Roderick L., additional, Bernards, Rene, additional, and de Oliveira, Rodrigo Leite, additional

Published
2021
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5. The Cancer SENESCopedia: A delineation of cancer cell senescence

Author

Jochems, Fleur, primary, Thijssen, Bram, additional, De Conti, Giulia, additional, Jansen, Robin, additional, Pogacar, Ziva, additional, Groot, Kelvin, additional, Wang, Liqin, additional, Schepers, Arnout, additional, Wang, Cun, additional, Jin, Haojie, additional, Beijersbergen, Roderick L., additional, Leite de Oliveira, Rodrigo, additional, Wessels, Lodewyk F.A., additional, and Bernards, René, additional

Published
2021
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6. The Cancer SENESCopedia: A delineation of cancer cell senescence

Author

Jochems, Fleur (author), Thijssen, Bram (author), De Conti, Giulia (author), Jansen, Robin (author), Pogacar, Ziva (author), Groot, Kelvin (author), Wang, Liqin (author), Schepers, Arnout (author), Wessels, L.F.A. (author), Jochems, Fleur (author), Thijssen, Bram (author), De Conti, Giulia (author), Jansen, Robin (author), Pogacar, Ziva (author), Groot, Kelvin (author), Wang, Liqin (author), Schepers, Arnout (author), and Wessels, L.F.A. (author)

Abstract

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., Pattern Recognition and Bioinformatics

Published
2021
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