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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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Detalles Bibliográficos
Autor principal: Rogers, Eve H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8222223/
https://www.ncbi.nlm.nih.gov/pubmed/34162994
http://dx.doi.org/10.1038/s42003-021-02313-9
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author Rogers, Eve H.
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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.
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spelling pubmed-82222232021-07-09 Using CRISPR to understand how cancer mutations happen Rogers, Eve H. Commun Biol Research Highlight 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. Nature Publishing Group UK 2021-06-23 /pmc/articles/PMC8222223/ /pubmed/34162994 http://dx.doi.org/10.1038/s42003-021-02313-9 Text en © Springer Nature Limited 2021 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 Research Highlight
Rogers, Eve H.
Using CRISPR to understand how cancer mutations happen
title 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_short Using CRISPR to understand how cancer mutations happen
title_sort using crispr to understand how cancer mutations happen
topic Research Highlight
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8222223/
https://www.ncbi.nlm.nih.gov/pubmed/34162994
http://dx.doi.org/10.1038/s42003-021-02313-9
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