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Metabolic drug survey highlights cancer cell dependencies and vulnerabilities
Interrogation of cellular metabolism with high-throughput screening approaches can unravel contextual biology and identify cancer-specific metabolic vulnerabilities. To systematically study the consequences of distinct metabolic perturbations, we assemble a comprehensive metabolic drug library (CeMM...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8671470/ https://www.ncbi.nlm.nih.gov/pubmed/34907165 http://dx.doi.org/10.1038/s41467-021-27329-x |
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author | Pemovska, Tea Bigenzahn, Johannes W. Srndic, Ismet Lercher, Alexander Bergthaler, Andreas César-Razquin, Adrián Kartnig, Felix Kornauth, Christoph Valent, Peter Staber, Philipp B. Superti-Furga, Giulio |
author_facet | Pemovska, Tea Bigenzahn, Johannes W. Srndic, Ismet Lercher, Alexander Bergthaler, Andreas César-Razquin, Adrián Kartnig, Felix Kornauth, Christoph Valent, Peter Staber, Philipp B. Superti-Furga, Giulio |
author_sort | Pemovska, Tea |
collection | PubMed |
description | Interrogation of cellular metabolism with high-throughput screening approaches can unravel contextual biology and identify cancer-specific metabolic vulnerabilities. To systematically study the consequences of distinct metabolic perturbations, we assemble a comprehensive metabolic drug library (CeMM Library of Metabolic Drugs; CLIMET) covering 243 compounds. We, next, characterize it phenotypically in a diverse panel of myeloid leukemia cell lines and primary patient cells. Analysis of the drug response profiles reveals that 77 drugs affect cell viability, with the top effective compounds targeting nucleic acid synthesis, oxidative stress, and the PI3K/mTOR pathway. Clustering of individual drug response profiles stratifies the cell lines into five functional groups, which link to specific molecular and metabolic features. Mechanistic characterization of selective responses to the PI3K inhibitor pictilisib, the fatty acid synthase inhibitor GSK2194069, and the SLC16A1 inhibitor AZD3965, bring forth biomarkers of drug response. Phenotypic screening using CLIMET represents a valuable tool to probe cellular metabolism and identify metabolic dependencies at large. |
format | Online Article Text |
id | pubmed-8671470 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-86714702022-01-04 Metabolic drug survey highlights cancer cell dependencies and vulnerabilities Pemovska, Tea Bigenzahn, Johannes W. Srndic, Ismet Lercher, Alexander Bergthaler, Andreas César-Razquin, Adrián Kartnig, Felix Kornauth, Christoph Valent, Peter Staber, Philipp B. Superti-Furga, Giulio Nat Commun Article Interrogation of cellular metabolism with high-throughput screening approaches can unravel contextual biology and identify cancer-specific metabolic vulnerabilities. To systematically study the consequences of distinct metabolic perturbations, we assemble a comprehensive metabolic drug library (CeMM Library of Metabolic Drugs; CLIMET) covering 243 compounds. We, next, characterize it phenotypically in a diverse panel of myeloid leukemia cell lines and primary patient cells. Analysis of the drug response profiles reveals that 77 drugs affect cell viability, with the top effective compounds targeting nucleic acid synthesis, oxidative stress, and the PI3K/mTOR pathway. Clustering of individual drug response profiles stratifies the cell lines into five functional groups, which link to specific molecular and metabolic features. Mechanistic characterization of selective responses to the PI3K inhibitor pictilisib, the fatty acid synthase inhibitor GSK2194069, and the SLC16A1 inhibitor AZD3965, bring forth biomarkers of drug response. Phenotypic screening using CLIMET represents a valuable tool to probe cellular metabolism and identify metabolic dependencies at large. Nature Publishing Group UK 2021-12-14 /pmc/articles/PMC8671470/ /pubmed/34907165 http://dx.doi.org/10.1038/s41467-021-27329-x Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Pemovska, Tea Bigenzahn, Johannes W. Srndic, Ismet Lercher, Alexander Bergthaler, Andreas César-Razquin, Adrián Kartnig, Felix Kornauth, Christoph Valent, Peter Staber, Philipp B. Superti-Furga, Giulio Metabolic drug survey highlights cancer cell dependencies and vulnerabilities |
title | Metabolic drug survey highlights cancer cell dependencies and vulnerabilities |
title_full | Metabolic drug survey highlights cancer cell dependencies and vulnerabilities |
title_fullStr | Metabolic drug survey highlights cancer cell dependencies and vulnerabilities |
title_full_unstemmed | Metabolic drug survey highlights cancer cell dependencies and vulnerabilities |
title_short | Metabolic drug survey highlights cancer cell dependencies and vulnerabilities |
title_sort | metabolic drug survey highlights cancer cell dependencies and vulnerabilities |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8671470/ https://www.ncbi.nlm.nih.gov/pubmed/34907165 http://dx.doi.org/10.1038/s41467-021-27329-x |
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