Genome-wide detection and analysis of CRISPR-Cas off-targets

Copyright © 2021 Elsevier Inc. All rights reserved..

The clustered, regularly interspersed, short palindromic repeats (CRISPR) technology is revolutionizing biological studies and holds tremendous promise for treating human diseases. However, a significant limitation of this technology is that modifications can occur on off-target sites lacking perfect complementarity to the single guide RNA (sgRNA) or canonical protospacer-adjacent motif (PAM) sequence. Several in vivo and in vitro genome-wide off-target profiling approaches have been developed to inform on the fidelity of gene editing. Of these, GUIDE-seq has become one of the most widely adopted and reproducible methods. To allow users to easily analyze GUIDE-seq data generated on any sequencing platform, we developed an open-source pipeline, GS-Preprocess, that takes standard base-call output in bcl format and generate all required input data for off-target identification using bioconductor package GUIDEseq for off-target identification. Furthermore, we created a Docker image with GS-Proprocess, GUIDE-seq, and all its R and system dependencies already installed. The bundled pipeline will empower end users to streamline the analysis of GUIDE-seq data and motivate their use of higher throughput sequencing with increased multiplexing for GUIDE-seq experiments.

Medienart:

E-Artikel

Erscheinungsjahr:

2021

Erschienen:

2021

Enthalten in:

Zur Gesamtaufnahme - volume:181

Enthalten in:

Progress in molecular biology and translational science - 181(2021) vom: 07., Seite 31-43

Sprache:

Englisch

Beteiligte Personen:

Rodríguez, Tomás C [VerfasserIn]
Dadafarin, Sina [VerfasserIn]
Pratt, Henry E [VerfasserIn]
Liu, PengPeng [VerfasserIn]
Amrani, Nadia [VerfasserIn]
Zhu, Lihua Julie [VerfasserIn]

Links:

Volltext

Themen:

CRISPR
GUIDE-seq
Genome editing
Journal Article
Off-targets analysis
RNA, Guide, CRISPR-Cas Systems
Software

Anmerkungen:

Date Completed 25.11.2021

Date Revised 04.01.2024

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1016/bs.pmbts.2021.01.012

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM326749799