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Multi-omic measurement of mutually exclusive loss-of-function enriches for candidate synthetic lethal gene pairs

BACKGROUND: Identification of synthetic lethal interactions in cancer cells could offer promising new therapeutic targets. Large-scale functional genomic screening presents an opportunity to test large numbers of cancer synthetic lethal hypotheses. Methods enriching for candidate synthetic lethal ta...

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Autores principales: Wappett, Mark, Dulak, Austin, Yang, Zheng Rong, Al-Watban, Abdullatif, Bradford, James R., Dry, Jonathan R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4717622/
https://www.ncbi.nlm.nih.gov/pubmed/26781748
http://dx.doi.org/10.1186/s12864-016-2375-1
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author Wappett, Mark
Dulak, Austin
Yang, Zheng Rong
Al-Watban, Abdullatif
Bradford, James R.
Dry, Jonathan R.
author_facet Wappett, Mark
Dulak, Austin
Yang, Zheng Rong
Al-Watban, Abdullatif
Bradford, James R.
Dry, Jonathan R.
author_sort Wappett, Mark
collection PubMed
description BACKGROUND: Identification of synthetic lethal interactions in cancer cells could offer promising new therapeutic targets. Large-scale functional genomic screening presents an opportunity to test large numbers of cancer synthetic lethal hypotheses. Methods enriching for candidate synthetic lethal targets in molecularly defined cancer cell lines can steer effective design of screening efforts. Loss of one partner of a synthetic lethal gene pair creates a dependency on the other, thus synthetic lethal gene pairs should never show simultaneous loss-of-function. We have developed a computational approach to mine large multi-omic cancer data sets and identify gene pairs with mutually exclusive loss-of-function. Since loss-of-function may not always be genetic, we look for deleterious mutations, gene deletion and/or loss of mRNA expression by bimodality defined with a novel algorithm BiSEp. RESULTS: Applying this toolkit to both tumour cell line and patient data, we achieve statistically significant enrichment for experimentally validated tumour suppressor genes and synthetic lethal gene pairings. Notably non-reliance on genetic loss reveals a number of known synthetic lethal relationships otherwise missed, resulting in marked improvement over genetic-only predictions. We go on to establish biological rationale surrounding a number of novel candidate synthetic lethal gene pairs with demonstrated dependencies in published cancer cell line shRNA screens. CONCLUSIONS: This work introduces a multi-omic approach to define gene loss-of-function, and enrich for candidate synthetic lethal gene pairs in cell lines testable through functional screens. In doing so, we offer an additional resource to generate new cancer drug target and combination hypotheses. Algorithms discussed are freely available in the BiSEp CRAN package at http://cran.r-project.org/web/packages/BiSEp/index.html. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-016-2375-1) contains supplementary material, which is available to authorized users.
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spelling pubmed-47176222016-01-20 Multi-omic measurement of mutually exclusive loss-of-function enriches for candidate synthetic lethal gene pairs Wappett, Mark Dulak, Austin Yang, Zheng Rong Al-Watban, Abdullatif Bradford, James R. Dry, Jonathan R. BMC Genomics Research Article BACKGROUND: Identification of synthetic lethal interactions in cancer cells could offer promising new therapeutic targets. Large-scale functional genomic screening presents an opportunity to test large numbers of cancer synthetic lethal hypotheses. Methods enriching for candidate synthetic lethal targets in molecularly defined cancer cell lines can steer effective design of screening efforts. Loss of one partner of a synthetic lethal gene pair creates a dependency on the other, thus synthetic lethal gene pairs should never show simultaneous loss-of-function. We have developed a computational approach to mine large multi-omic cancer data sets and identify gene pairs with mutually exclusive loss-of-function. Since loss-of-function may not always be genetic, we look for deleterious mutations, gene deletion and/or loss of mRNA expression by bimodality defined with a novel algorithm BiSEp. RESULTS: Applying this toolkit to both tumour cell line and patient data, we achieve statistically significant enrichment for experimentally validated tumour suppressor genes and synthetic lethal gene pairings. Notably non-reliance on genetic loss reveals a number of known synthetic lethal relationships otherwise missed, resulting in marked improvement over genetic-only predictions. We go on to establish biological rationale surrounding a number of novel candidate synthetic lethal gene pairs with demonstrated dependencies in published cancer cell line shRNA screens. CONCLUSIONS: This work introduces a multi-omic approach to define gene loss-of-function, and enrich for candidate synthetic lethal gene pairs in cell lines testable through functional screens. In doing so, we offer an additional resource to generate new cancer drug target and combination hypotheses. Algorithms discussed are freely available in the BiSEp CRAN package at http://cran.r-project.org/web/packages/BiSEp/index.html. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-016-2375-1) contains supplementary material, which is available to authorized users. BioMed Central 2016-01-19 /pmc/articles/PMC4717622/ /pubmed/26781748 http://dx.doi.org/10.1186/s12864-016-2375-1 Text en © Wappett et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Wappett, Mark
Dulak, Austin
Yang, Zheng Rong
Al-Watban, Abdullatif
Bradford, James R.
Dry, Jonathan R.
Multi-omic measurement of mutually exclusive loss-of-function enriches for candidate synthetic lethal gene pairs
title Multi-omic measurement of mutually exclusive loss-of-function enriches for candidate synthetic lethal gene pairs
title_full Multi-omic measurement of mutually exclusive loss-of-function enriches for candidate synthetic lethal gene pairs
title_fullStr Multi-omic measurement of mutually exclusive loss-of-function enriches for candidate synthetic lethal gene pairs
title_full_unstemmed Multi-omic measurement of mutually exclusive loss-of-function enriches for candidate synthetic lethal gene pairs
title_short Multi-omic measurement of mutually exclusive loss-of-function enriches for candidate synthetic lethal gene pairs
title_sort multi-omic measurement of mutually exclusive loss-of-function enriches for candidate synthetic lethal gene pairs
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4717622/
https://www.ncbi.nlm.nih.gov/pubmed/26781748
http://dx.doi.org/10.1186/s12864-016-2375-1
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