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Annotation and evaluation of base editing outcomes in multiple cell types using CRISPRbase

CRISPR-Cas base editing (BE) system is a powerful tool to expand the scope and efficiency of genome editing with single-nucleotide resolution. The editing efficiency, product purity, and off-target effect differ among various BE systems. Herein, we developed CRISPRbase (http://crisprbase.maolab.org)...

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Detalles Bibliográficos
Autores principales: Fan, Jibiao, Shi, Leisheng, Liu, Qi, Zhu, Zhipeng, Wang, Fan, Song, Runxian, Su, Jimeng, Zhou, Degui, Chen, Xiao, Li, Kailong, Xue, Lixiang, Sun, Lichao, Mao, Fengbiao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9825451/
https://www.ncbi.nlm.nih.gov/pubmed/36350608
http://dx.doi.org/10.1093/nar/gkac967
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author Fan, Jibiao
Shi, Leisheng
Liu, Qi
Zhu, Zhipeng
Wang, Fan
Song, Runxian
Su, Jimeng
Zhou, Degui
Chen, Xiao
Li, Kailong
Xue, Lixiang
Sun, Lichao
Mao, Fengbiao
author_facet Fan, Jibiao
Shi, Leisheng
Liu, Qi
Zhu, Zhipeng
Wang, Fan
Song, Runxian
Su, Jimeng
Zhou, Degui
Chen, Xiao
Li, Kailong
Xue, Lixiang
Sun, Lichao
Mao, Fengbiao
author_sort Fan, Jibiao
collection PubMed
description CRISPR-Cas base editing (BE) system is a powerful tool to expand the scope and efficiency of genome editing with single-nucleotide resolution. The editing efficiency, product purity, and off-target effect differ among various BE systems. Herein, we developed CRISPRbase (http://crisprbase.maolab.org), by integrating 1 252 935 records of base editing outcomes in more than 50 cell types from 17 species. CRISPRbase helps to evaluate the putative editing precision of different BE systems by integrating multiple annotations, functional predictions and a blasting system for single-guide RNA sequences. We systematically assessed the editing window, editing efficiency and product purity of various BE systems. Intensive efforts were focused on increasing the editing efficiency and product purity of base editors since the byproduct could be detrimental in certain applications. Remarkably, more than half of cancer-related off-target mutations were non-synonymous and extremely damaging to protein functions in most common tumor types. Luckily, most of these cancer-related mutations were passenger mutations (4840/5703, 84.87%) rather than cancer driver mutations (863/5703, 15.13%), indicating a weak effect of off-target mutations on carcinogenesis. In summary, CRISPRbase is a powerful and convenient tool to study the outcomes of different base editors and help researchers choose appropriate BE designs for functional studies.
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spelling pubmed-98254512023-01-10 Annotation and evaluation of base editing outcomes in multiple cell types using CRISPRbase Fan, Jibiao Shi, Leisheng Liu, Qi Zhu, Zhipeng Wang, Fan Song, Runxian Su, Jimeng Zhou, Degui Chen, Xiao Li, Kailong Xue, Lixiang Sun, Lichao Mao, Fengbiao Nucleic Acids Res Database Issue CRISPR-Cas base editing (BE) system is a powerful tool to expand the scope and efficiency of genome editing with single-nucleotide resolution. The editing efficiency, product purity, and off-target effect differ among various BE systems. Herein, we developed CRISPRbase (http://crisprbase.maolab.org), by integrating 1 252 935 records of base editing outcomes in more than 50 cell types from 17 species. CRISPRbase helps to evaluate the putative editing precision of different BE systems by integrating multiple annotations, functional predictions and a blasting system for single-guide RNA sequences. We systematically assessed the editing window, editing efficiency and product purity of various BE systems. Intensive efforts were focused on increasing the editing efficiency and product purity of base editors since the byproduct could be detrimental in certain applications. Remarkably, more than half of cancer-related off-target mutations were non-synonymous and extremely damaging to protein functions in most common tumor types. Luckily, most of these cancer-related mutations were passenger mutations (4840/5703, 84.87%) rather than cancer driver mutations (863/5703, 15.13%), indicating a weak effect of off-target mutations on carcinogenesis. In summary, CRISPRbase is a powerful and convenient tool to study the outcomes of different base editors and help researchers choose appropriate BE designs for functional studies. Oxford University Press 2022-11-09 /pmc/articles/PMC9825451/ /pubmed/36350608 http://dx.doi.org/10.1093/nar/gkac967 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of Nucleic Acids Research. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Database Issue
Fan, Jibiao
Shi, Leisheng
Liu, Qi
Zhu, Zhipeng
Wang, Fan
Song, Runxian
Su, Jimeng
Zhou, Degui
Chen, Xiao
Li, Kailong
Xue, Lixiang
Sun, Lichao
Mao, Fengbiao
Annotation and evaluation of base editing outcomes in multiple cell types using CRISPRbase
title Annotation and evaluation of base editing outcomes in multiple cell types using CRISPRbase
title_full Annotation and evaluation of base editing outcomes in multiple cell types using CRISPRbase
title_fullStr Annotation and evaluation of base editing outcomes in multiple cell types using CRISPRbase
title_full_unstemmed Annotation and evaluation of base editing outcomes in multiple cell types using CRISPRbase
title_short Annotation and evaluation of base editing outcomes in multiple cell types using CRISPRbase
title_sort annotation and evaluation of base editing outcomes in multiple cell types using crisprbase
topic Database Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9825451/
https://www.ncbi.nlm.nih.gov/pubmed/36350608
http://dx.doi.org/10.1093/nar/gkac967
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