In silico CRISPR-based sgRNA design.

Author: Yuanli WANG ¹ ; Guohui CHUAI ² ; Jifang YAN ² ; Lei SHI ¹ ; Qi LIU ²
Author Information

1. School of Computer and Information, Hefei University of Technology, Hefei 230009, Anhui, China.
2. Shanghai Tenth People's Hospital, Department of Bioinformatics, School of Life Sciences and Technology, Tongji University, Shanghai 200092, China.
Publication Type:Journal Article
Keywords: CRISPR; genome editing; in-silico sgRNA design; off-target
From: Chinese Journal of Biotechnology 2017;33(10):1744-1756
CountryChina
Language:Chinese
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 CRISPR system. Continuing efforts are made to refine in-silico sgRNA design with high on-target efficacy and reduced off-target effects. In this paper, we summarize the present sgRNA design tools, and show that 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. Our review shows that systematic comparisons and evaluation of on-target and off-target effects of sgRNA will allow more precise genome editing and gene therapies using the CRISPR system.