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

Seung-Hun Kang, Wi-jae Lee, Ju-Hyun An, Jong‐Hee Lee, Young-Hyun Kim, Hanseop Kim, Yeounsun Oh, Young‐Ho Park, Yeung Bae Jin, Bong‐Hyun Jun, Junho K. Hur, Sun‐Uk Kim, Seung Hwan Lee

2020Nature Communications65 citationsDOIOpen Access PDF

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.

Topics & Concepts

CRISPRComputational biologyDNAComputer scienceBiologyGeneticsGeneCRISPR and Genetic Engineering
Prediction-based highly sensitive CRISPR off-target validation using target-specific DNA enrichment | Litcius