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Prediction-based highly sensitive CRISPR off-target validation using target-specific DNA enrichment

Authors :
Wi Jae Lee
Ju Hyun An
Junho K. Hur
Hanseop Kim
Seung Hun Kang
Yeung Bae Jin
Young-Ho Park
Jong Hee Lee
Yeounsun Oh
Young-Hyun Kim
Sun-Uk Kim
Bong-Hyun Jun
Seung-Hwan Lee
Source :
Nature Communications, Nature Communications, Vol 11, Iss 1, Pp 1-11 (2020)
Publication Year :
2020
Publisher :
Nature Publishing Group UK, 2020.

Abstract

CRISPR effectors, which comprise a CRISPR-Cas protein and a guide (g)RNA derived from the bacterial immune system, are widely used for target-specific genome editing. When the gRNA recognizes genomic loci with sequences that are similar to the target, deleterious mutations can occur. Off-target mutations with a frequency below 0.5% remain mostly undetected by current genome-wide off-target detection techniques. Here we report a method to effectively detect extremely small amounts of mutated DNA based on predicted off-target-specific amplification. In this study, we used various genome editors to induce intracellular genome mutations, and the CRISPR amplification method detected off-target mutations at a significantly higher rate (1.6~984 fold increase) than an existing targeted amplicon sequencing method. In the near future, CRISPR amplification in combination with genome-wide off-target detection methods will allow detection of genome editor-induced off-target mutations with high sensitivity and in a non-biased manner.<br />Off-target mutations that occur at a frequency below 0.5% can be difficult to detect. Here the authors use predicted off-target amplification to increase detection sensitivity.

Details

Language :
English
ISSN :
20411723
Volume :
11
Database :
OpenAIRE
Journal :
Nature Communications
Accession number :
edsair.doi.dedup.....705cdc3c5f08fe6dbdd7b16410c49e17