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Chromatin complex dependencies reveal targeting opportunities in leukemia

Chromatin regulators are frequently mutated in human cancer and are attractive drug targets. They include diverse proteins that share functional domains and assemble into related multi-subunit complexes. To investigate functional relationships among these regulators, here we apply combinatorial CRIS...

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Autores principales: Najm, Fadi J., DeWeirdt, Peter, Moore, Molly M., Bevill, Samantha M., El Farran, Chadi A., Macias, Kevin A., Hegde, Mudra, Waterbury, Amanda L., Liau, Brian B., van Galen, Peter, Doench, John G., Bernstein, Bradley E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9883437/
https://www.ncbi.nlm.nih.gov/pubmed/36707513
http://dx.doi.org/10.1038/s41467-023-36150-7
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author Najm, Fadi J.
DeWeirdt, Peter
Moore, Molly M.
Bevill, Samantha M.
El Farran, Chadi A.
Macias, Kevin A.
Hegde, Mudra
Waterbury, Amanda L.
Liau, Brian B.
van Galen, Peter
Doench, John G.
Bernstein, Bradley E.
author_facet Najm, Fadi J.
DeWeirdt, Peter
Moore, Molly M.
Bevill, Samantha M.
El Farran, Chadi A.
Macias, Kevin A.
Hegde, Mudra
Waterbury, Amanda L.
Liau, Brian B.
van Galen, Peter
Doench, John G.
Bernstein, Bradley E.
author_sort Najm, Fadi J.
collection PubMed
description Chromatin regulators are frequently mutated in human cancer and are attractive drug targets. They include diverse proteins that share functional domains and assemble into related multi-subunit complexes. To investigate functional relationships among these regulators, here we apply combinatorial CRISPR knockouts (KOs) to test over 35,000 gene-gene pairings in leukemia cells, using a library of over 300,000 constructs. Top pairs that demonstrate either compensatory non-lethal interactions or synergistic lethality enrich for paralogs and targets that occupy the same protein complex. The screen highlights protein complex dependencies not apparent in single KO screens, for example MCM histone exchange, the nucleosome remodeling and deacetylase (NuRD) complex, and HBO1 (KAT7) complex. We explore two approaches to NuRD complex inactivation. Paralog and non-paralog combinations of the KAT7 complex emerge as synergistic lethal and specifically nominate the ING5 PHD domain as a potential therapeutic target when paired with other KAT7 complex member losses. These findings highlight the power of combinatorial screening to provide mechanistic insight and identify therapeutic targets within redundant networks.
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spelling pubmed-98834372023-01-29 Chromatin complex dependencies reveal targeting opportunities in leukemia Najm, Fadi J. DeWeirdt, Peter Moore, Molly M. Bevill, Samantha M. El Farran, Chadi A. Macias, Kevin A. Hegde, Mudra Waterbury, Amanda L. Liau, Brian B. van Galen, Peter Doench, John G. Bernstein, Bradley E. Nat Commun Article Chromatin regulators are frequently mutated in human cancer and are attractive drug targets. They include diverse proteins that share functional domains and assemble into related multi-subunit complexes. To investigate functional relationships among these regulators, here we apply combinatorial CRISPR knockouts (KOs) to test over 35,000 gene-gene pairings in leukemia cells, using a library of over 300,000 constructs. Top pairs that demonstrate either compensatory non-lethal interactions or synergistic lethality enrich for paralogs and targets that occupy the same protein complex. The screen highlights protein complex dependencies not apparent in single KO screens, for example MCM histone exchange, the nucleosome remodeling and deacetylase (NuRD) complex, and HBO1 (KAT7) complex. We explore two approaches to NuRD complex inactivation. Paralog and non-paralog combinations of the KAT7 complex emerge as synergistic lethal and specifically nominate the ING5 PHD domain as a potential therapeutic target when paired with other KAT7 complex member losses. These findings highlight the power of combinatorial screening to provide mechanistic insight and identify therapeutic targets within redundant networks. Nature Publishing Group UK 2023-01-27 /pmc/articles/PMC9883437/ /pubmed/36707513 http://dx.doi.org/10.1038/s41467-023-36150-7 Text en © The Author(s) 2023 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
Najm, Fadi J.
DeWeirdt, Peter
Moore, Molly M.
Bevill, Samantha M.
El Farran, Chadi A.
Macias, Kevin A.
Hegde, Mudra
Waterbury, Amanda L.
Liau, Brian B.
van Galen, Peter
Doench, John G.
Bernstein, Bradley E.
Chromatin complex dependencies reveal targeting opportunities in leukemia
title Chromatin complex dependencies reveal targeting opportunities in leukemia
title_full Chromatin complex dependencies reveal targeting opportunities in leukemia
title_fullStr Chromatin complex dependencies reveal targeting opportunities in leukemia
title_full_unstemmed Chromatin complex dependencies reveal targeting opportunities in leukemia
title_short Chromatin complex dependencies reveal targeting opportunities in leukemia
title_sort chromatin complex dependencies reveal targeting opportunities in leukemia
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9883437/
https://www.ncbi.nlm.nih.gov/pubmed/36707513
http://dx.doi.org/10.1038/s41467-023-36150-7
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