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Integration of multiple biological contexts reveals principles of synthetic lethality that affect reproducibility
Synthetic lethal screens have the potential to identify new vulnerabilities incurred by specific cancer mutations but have been hindered by lack of agreement between studies. In the case of KRAS, we identify that published synthetic lethal screen hits significantly overlap at the pathway rather than...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7217969/ https://www.ncbi.nlm.nih.gov/pubmed/32398776 http://dx.doi.org/10.1038/s41467-020-16078-y |
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author | Ku, Angel A. Hu, Hsien-Ming Zhao, Xin Shah, Khyati N. Kongara, Sameera Wu, Di McCormick, Frank Balmain, Allan Bandyopadhyay, Sourav |
author_facet | Ku, Angel A. Hu, Hsien-Ming Zhao, Xin Shah, Khyati N. Kongara, Sameera Wu, Di McCormick, Frank Balmain, Allan Bandyopadhyay, Sourav |
author_sort | Ku, Angel A. |
collection | PubMed |
description | Synthetic lethal screens have the potential to identify new vulnerabilities incurred by specific cancer mutations but have been hindered by lack of agreement between studies. In the case of KRAS, we identify that published synthetic lethal screen hits significantly overlap at the pathway rather than gene level. Analysis of pathways encoded as protein networks could identify synthetic lethal candidates that are more reproducible than those previously reported. Lack of overlap likely stems from biological rather than technical limitations as most synthetic lethal phenotypes are strongly modulated by changes in cellular conditions or genetic context, the latter determined using a pairwise genetic interaction map that identifies numerous interactions that suppress synthetic lethal effects. Accounting for pathway, cellular and genetic context nominates a DNA repair dependency in KRAS-mutant cells, mediated by a network containing BRCA1. We provide evidence for why most reported synthetic lethals are not reproducible which is addressable using a multi-faceted testing framework. |
format | Online Article Text |
id | pubmed-7217969 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-72179692020-05-15 Integration of multiple biological contexts reveals principles of synthetic lethality that affect reproducibility Ku, Angel A. Hu, Hsien-Ming Zhao, Xin Shah, Khyati N. Kongara, Sameera Wu, Di McCormick, Frank Balmain, Allan Bandyopadhyay, Sourav Nat Commun Article Synthetic lethal screens have the potential to identify new vulnerabilities incurred by specific cancer mutations but have been hindered by lack of agreement between studies. In the case of KRAS, we identify that published synthetic lethal screen hits significantly overlap at the pathway rather than gene level. Analysis of pathways encoded as protein networks could identify synthetic lethal candidates that are more reproducible than those previously reported. Lack of overlap likely stems from biological rather than technical limitations as most synthetic lethal phenotypes are strongly modulated by changes in cellular conditions or genetic context, the latter determined using a pairwise genetic interaction map that identifies numerous interactions that suppress synthetic lethal effects. Accounting for pathway, cellular and genetic context nominates a DNA repair dependency in KRAS-mutant cells, mediated by a network containing BRCA1. We provide evidence for why most reported synthetic lethals are not reproducible which is addressable using a multi-faceted testing framework. Nature Publishing Group UK 2020-05-12 /pmc/articles/PMC7217969/ /pubmed/32398776 http://dx.doi.org/10.1038/s41467-020-16078-y 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 Ku, Angel A. Hu, Hsien-Ming Zhao, Xin Shah, Khyati N. Kongara, Sameera Wu, Di McCormick, Frank Balmain, Allan Bandyopadhyay, Sourav Integration of multiple biological contexts reveals principles of synthetic lethality that affect reproducibility |
title | Integration of multiple biological contexts reveals principles of synthetic lethality that affect reproducibility |
title_full | Integration of multiple biological contexts reveals principles of synthetic lethality that affect reproducibility |
title_fullStr | Integration of multiple biological contexts reveals principles of synthetic lethality that affect reproducibility |
title_full_unstemmed | Integration of multiple biological contexts reveals principles of synthetic lethality that affect reproducibility |
title_short | Integration of multiple biological contexts reveals principles of synthetic lethality that affect reproducibility |
title_sort | integration of multiple biological contexts reveals principles of synthetic lethality that affect reproducibility |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7217969/ https://www.ncbi.nlm.nih.gov/pubmed/32398776 http://dx.doi.org/10.1038/s41467-020-16078-y |
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