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In Silico Meets In Vivo: Towards Computational CRISPR-Based sgRNA Design

Author:
Chuai, Guo-hui, Wang, Qi-Long, Liu, Qi
Source:
Trends in biotechnology 2016
ISSN:
0167-7799
Subject:
RNA, RNA editing, gene therapy, genes, genetic engineering, models
Abstract:
CRISPR-based genome editing has been widely implemented in various cell types. In silico single guide RNA (sgRNA) design is a key step for successful gene editing using the CRISPR system, and continuing efforts are aimed at refining in silico sgRNA design with high on-target efficacy and reduced off-target effects. Many sgRNA design tools are available, but careful assessments of their application scenarios and performance benchmarks across different types of genome-editing data are needed. Efficient in silico models can be built that integrate current heterogeneous genome-editing data to derive unbiased sgRNA design rules and identify key features for improving sgRNA design. Comprehensive evaluation of on-target and off-target effects of sgRNA will allow more precise genome editing and gene therapies using the CRISPR system.
Agid:
5245653