Unknown

Dataset Information

0

Genome-wide target specificities of CRISPR-Cas9 nucleases revealed by multiplex Digenome-seq.


ABSTRACT: We present multiplex Digenome-seq to profile genome-wide specificities of up to 11 CRISPR-Cas9 nucleases simultaneously, saving time and reducing cost. Cell-free human genomic DNA was digested using multiple sgRNAs combined with the Cas9 protein and then subjected to whole-genome sequencing. In vitro cleavage patterns, characteristic of on- and off-target sites, were computationally identified across the genome using a new DNA cleavage scoring system. We found that many false-positive, bulge-type off-target sites were cleaved by sgRNAs transcribed from an oligonucleotide duplex but not by those transcribed from a plasmid template. Multiplex Digenome-seq captured many bona fide off-target sites, missed by other genome-wide methods, at which indels were induced at frequencies <0.1%. After analyzing 964 sites cleaved in vitro by these sgRNAs and measuring indel frequencies at hundreds of off-target sites in cells, we propose a guideline for the choice of target sites for minimizing CRISPR-Cas9 off-target effects in the human genome.

SUBMITTER: Kim D 

PROVIDER: S-EPMC4772022 | biostudies-literature | 2016 Mar

REPOSITORIES: biostudies-literature

altmetric image

Publications

Genome-wide target specificities of CRISPR-Cas9 nucleases revealed by multiplex Digenome-seq.

Kim Daesik D   Kim Sojung S   Kim Sunghyun S   Park Jeongbin J   Kim Jin-Soo JS  

Genome research 20160119 3


We present multiplex Digenome-seq to profile genome-wide specificities of up to 11 CRISPR-Cas9 nucleases simultaneously, saving time and reducing cost. Cell-free human genomic DNA was digested using multiple sgRNAs combined with the Cas9 protein and then subjected to whole-genome sequencing. In vitro cleavage patterns, characteristic of on- and off-target sites, were computationally identified across the genome using a new DNA cleavage scoring system. We found that many false-positive, bulge-typ  ...[more]

Similar Datasets

| S-EPMC4851738 | biostudies-literature
| S-EPMC4540238 | biostudies-literature
| S-EPMC4980201 | biostudies-literature
| S-EPMC4320685 | biostudies-literature
| S-EPMC6512799 | biostudies-literature
| S-EPMC6320322 | biostudies-literature
| S-EPMC8253812 | biostudies-literature
| S-EPMC6512873 | biostudies-literature
| S-EPMC4469905 | biostudies-literature
| S-EPMC7652380 | biostudies-literature