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Quantitative and multiplexed chemical-genetic phenotyping in mammalian cells with QMAP-Seq

Chemical-genetic interaction profiling in model organisms has proven powerful in providing insights into compound mechanism of action and gene function. However, identifying chemical-genetic interactions in mammalian systems has been limited to low-throughput or computational methods. Here, we devel...

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Autores principales: Brockway, Sonia, Wang, Geng, Jackson, Jasen M., Amici, David R., Takagishi, Seesha R., Clutter, Matthew R., Bartom, Elizabeth T., Mendillo, Marc L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7661543/
https://www.ncbi.nlm.nih.gov/pubmed/33184288
http://dx.doi.org/10.1038/s41467-020-19553-8
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author Brockway, Sonia
Wang, Geng
Jackson, Jasen M.
Amici, David R.
Takagishi, Seesha R.
Clutter, Matthew R.
Bartom, Elizabeth T.
Mendillo, Marc L.
author_facet Brockway, Sonia
Wang, Geng
Jackson, Jasen M.
Amici, David R.
Takagishi, Seesha R.
Clutter, Matthew R.
Bartom, Elizabeth T.
Mendillo, Marc L.
author_sort Brockway, Sonia
collection PubMed
description Chemical-genetic interaction profiling in model organisms has proven powerful in providing insights into compound mechanism of action and gene function. However, identifying chemical-genetic interactions in mammalian systems has been limited to low-throughput or computational methods. Here, we develop Quantitative and Multiplexed Analysis of Phenotype by Sequencing (QMAP-Seq), which leverages next-generation sequencing for pooled high-throughput chemical-genetic profiling. We apply QMAP-Seq to investigate how cellular stress response factors affect therapeutic response in cancer. Using minimal automation, we treat pools of 60 cell types—comprising 12 genetic perturbations in five cell lines—with 1440 compound-dose combinations, generating 86,400 chemical-genetic measurements. QMAP-Seq produces precise and accurate quantitative measures of acute drug response comparable to gold standard assays, but with increased throughput at lower cost. Moreover, QMAP-Seq reveals clinically actionable drug vulnerabilities and functional relationships involving these stress response factors, many of which are activated in cancer. Thus, QMAP-Seq provides a broadly accessible and scalable strategy for chemical-genetic profiling in mammalian cells.
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spelling pubmed-76615432020-11-17 Quantitative and multiplexed chemical-genetic phenotyping in mammalian cells with QMAP-Seq Brockway, Sonia Wang, Geng Jackson, Jasen M. Amici, David R. Takagishi, Seesha R. Clutter, Matthew R. Bartom, Elizabeth T. Mendillo, Marc L. Nat Commun Article Chemical-genetic interaction profiling in model organisms has proven powerful in providing insights into compound mechanism of action and gene function. However, identifying chemical-genetic interactions in mammalian systems has been limited to low-throughput or computational methods. Here, we develop Quantitative and Multiplexed Analysis of Phenotype by Sequencing (QMAP-Seq), which leverages next-generation sequencing for pooled high-throughput chemical-genetic profiling. We apply QMAP-Seq to investigate how cellular stress response factors affect therapeutic response in cancer. Using minimal automation, we treat pools of 60 cell types—comprising 12 genetic perturbations in five cell lines—with 1440 compound-dose combinations, generating 86,400 chemical-genetic measurements. QMAP-Seq produces precise and accurate quantitative measures of acute drug response comparable to gold standard assays, but with increased throughput at lower cost. Moreover, QMAP-Seq reveals clinically actionable drug vulnerabilities and functional relationships involving these stress response factors, many of which are activated in cancer. Thus, QMAP-Seq provides a broadly accessible and scalable strategy for chemical-genetic profiling in mammalian cells. Nature Publishing Group UK 2020-11-12 /pmc/articles/PMC7661543/ /pubmed/33184288 http://dx.doi.org/10.1038/s41467-020-19553-8 Text en © The Author(s) 2020 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/.
spellingShingle Article
Brockway, Sonia
Wang, Geng
Jackson, Jasen M.
Amici, David R.
Takagishi, Seesha R.
Clutter, Matthew R.
Bartom, Elizabeth T.
Mendillo, Marc L.
Quantitative and multiplexed chemical-genetic phenotyping in mammalian cells with QMAP-Seq
title Quantitative and multiplexed chemical-genetic phenotyping in mammalian cells with QMAP-Seq
title_full Quantitative and multiplexed chemical-genetic phenotyping in mammalian cells with QMAP-Seq
title_fullStr Quantitative and multiplexed chemical-genetic phenotyping in mammalian cells with QMAP-Seq
title_full_unstemmed Quantitative and multiplexed chemical-genetic phenotyping in mammalian cells with QMAP-Seq
title_short Quantitative and multiplexed chemical-genetic phenotyping in mammalian cells with QMAP-Seq
title_sort quantitative and multiplexed chemical-genetic phenotyping in mammalian cells with qmap-seq
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7661543/
https://www.ncbi.nlm.nih.gov/pubmed/33184288
http://dx.doi.org/10.1038/s41467-020-19553-8
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