Using CRISPR to understand how cancer mutations happen

Somatic mutations in cancer genomes can be caused by many different mutational processes, each of which produce distinctive patterns termed “mutational signatures”. Although cancer researchers can now recognize a large number of mutational signatures, exactly how these patterns arise remains unknown...

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Autor principal: Eve H. Rogers
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/6c0d22112dca4591a1b37482add80220
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spelling oai:doaj.org-article:6c0d22112dca4591a1b37482add802202021-12-02T18:02:49ZUsing CRISPR to understand how cancer mutations happen10.1038/s42003-021-02313-92399-3642https://doaj.org/article/6c0d22112dca4591a1b37482add802202021-06-01T00:00:00Zhttps://doi.org/10.1038/s42003-021-02313-9https://doaj.org/toc/2399-3642Somatic mutations in cancer genomes can be caused by many different mutational processes, each of which produce distinctive patterns termed “mutational signatures”. Although cancer researchers can now recognize a large number of mutational signatures, exactly how these patterns arise remains unknown. Nik-Zainal and colleagues tackled this problem using a CRISPR-Cas9 genome editing screen to knock out components of the DNA mismatch repair machinery and learn their unique mutational patterns. Based on their data, the authors developed MMRDetect, a computational algorithm to classify the different DNA repair deficiencies and predict tumour responsiveness to immunotherapy.Eve H. RogersNature PortfolioarticleBiology (General)QH301-705.5ENCommunications Biology, Vol 4, Iss 1, Pp 1-2 (2021)
institution DOAJ
collection DOAJ
language EN
topic Biology (General)
QH301-705.5
spellingShingle Biology (General)
QH301-705.5
Eve H. Rogers
Using CRISPR to understand how cancer mutations happen
description Somatic mutations in cancer genomes can be caused by many different mutational processes, each of which produce distinctive patterns termed “mutational signatures”. Although cancer researchers can now recognize a large number of mutational signatures, exactly how these patterns arise remains unknown. Nik-Zainal and colleagues tackled this problem using a CRISPR-Cas9 genome editing screen to knock out components of the DNA mismatch repair machinery and learn their unique mutational patterns. Based on their data, the authors developed MMRDetect, a computational algorithm to classify the different DNA repair deficiencies and predict tumour responsiveness to immunotherapy.
format article
author Eve H. Rogers
author_facet Eve H. Rogers
author_sort Eve H. Rogers
title Using CRISPR to understand how cancer mutations happen
title_short Using CRISPR to understand how cancer mutations happen
title_full Using CRISPR to understand how cancer mutations happen
title_fullStr Using CRISPR to understand how cancer mutations happen
title_full_unstemmed Using CRISPR to understand how cancer mutations happen
title_sort using crispr to understand how cancer mutations happen
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/6c0d22112dca4591a1b37482add80220
work_keys_str_mv AT evehrogers usingcrisprtounderstandhowcancermutationshappen
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