Identifying tumorigenic non-coding mutations through altered cis-regulation

Summary: Identification of non-coding mutations driving tumorigenesis requires alternative approaches to coding mutations. Enriched associations between mutated regulatory elements and altered cis-regulation in tumors are a promising approach to stratify candidate non-coding driver mutations. Here w...

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Autores principales: Zhongshan Cheng, Michael Vermeulen, Micheal Rollins-Green, Tomas Babak, Brian DeVeale
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Lenguaje:EN
Publicado: Elsevier 2021
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Acceso en línea:https://doaj.org/article/6395de5f28e04b289848e10d87506912
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spelling oai:doaj.org-article:6395de5f28e04b289848e10d875069122021-11-10T04:41:26ZIdentifying tumorigenic non-coding mutations through altered cis-regulation2666-166710.1016/j.xpro.2021.100934https://doaj.org/article/6395de5f28e04b289848e10d875069122021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2666166721006407https://doaj.org/toc/2666-1667Summary: Identification of non-coding mutations driving tumorigenesis requires alternative approaches to coding mutations. Enriched associations between mutated regulatory elements and altered cis-regulation in tumors are a promising approach to stratify candidate non-coding driver mutations. Here we provide a bioinformatics pipeline to mine data from the Cancer Genomic Commons (GDC) for such associations. The pipeline integrates RNA and whole-genome sequencing with genotyping data to reveal putative non-coding driver mutations by cancer type.For complete information on the generation and use of this protocol, please refer to Cheng et al. (2021).Zhongshan ChengMichael VermeulenMicheal Rollins-GreenTomas BabakBrian DeVealeElsevierarticleBioinformaticsSequence analysisCancerGenomicsRNAseqScience (General)Q1-390ENSTAR Protocols, Vol 2, Iss 4, Pp 100934- (2021)
institution DOAJ
collection DOAJ
language EN
topic Bioinformatics
Sequence analysis
Cancer
Genomics
RNAseq
Science (General)
Q1-390
spellingShingle Bioinformatics
Sequence analysis
Cancer
Genomics
RNAseq
Science (General)
Q1-390
Zhongshan Cheng
Michael Vermeulen
Micheal Rollins-Green
Tomas Babak
Brian DeVeale
Identifying tumorigenic non-coding mutations through altered cis-regulation
description Summary: Identification of non-coding mutations driving tumorigenesis requires alternative approaches to coding mutations. Enriched associations between mutated regulatory elements and altered cis-regulation in tumors are a promising approach to stratify candidate non-coding driver mutations. Here we provide a bioinformatics pipeline to mine data from the Cancer Genomic Commons (GDC) for such associations. The pipeline integrates RNA and whole-genome sequencing with genotyping data to reveal putative non-coding driver mutations by cancer type.For complete information on the generation and use of this protocol, please refer to Cheng et al. (2021).
format article
author Zhongshan Cheng
Michael Vermeulen
Micheal Rollins-Green
Tomas Babak
Brian DeVeale
author_facet Zhongshan Cheng
Michael Vermeulen
Micheal Rollins-Green
Tomas Babak
Brian DeVeale
author_sort Zhongshan Cheng
title Identifying tumorigenic non-coding mutations through altered cis-regulation
title_short Identifying tumorigenic non-coding mutations through altered cis-regulation
title_full Identifying tumorigenic non-coding mutations through altered cis-regulation
title_fullStr Identifying tumorigenic non-coding mutations through altered cis-regulation
title_full_unstemmed Identifying tumorigenic non-coding mutations through altered cis-regulation
title_sort identifying tumorigenic non-coding mutations through altered cis-regulation
publisher Elsevier
publishDate 2021
url https://doaj.org/article/6395de5f28e04b289848e10d87506912
work_keys_str_mv AT zhongshancheng identifyingtumorigenicnoncodingmutationsthroughalteredcisregulation
AT michaelvermeulen identifyingtumorigenicnoncodingmutationsthroughalteredcisregulation
AT michealrollinsgreen identifyingtumorigenicnoncodingmutationsthroughalteredcisregulation
AT tomasbabak identifyingtumorigenicnoncodingmutationsthroughalteredcisregulation
AT briandeveale identifyingtumorigenicnoncodingmutationsthroughalteredcisregulation
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