Wang Yuanli, Chuai Guohui, Yan Jifang, Shi Lei, Liu Qi
School of Computer and Information, Hefei University of Technology, Hefei 230009, Anhui, China.
Shanghai Tenth People's Hospital, Department of Bioinformatics, School of Life Sciences and Technology, Tongji University, Shanghai 200092, China.
Sheng Wu Gong Cheng Xue Bao. 2017 Oct 25;33(10):1744-1756. doi: 10.13345/j.cjb.170182.
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.
基于CRISPR的基因组编辑已在各种细胞类型中广泛应用。电子单导向RNA(sgRNA)设计是使用CRISPR系统成功进行基因编辑的关键步骤。人们不断努力优化电子sgRNA设计,以提高靶向效率并减少脱靶效应。在本文中,我们总结了当前的sgRNA设计工具,并表明可以构建有效的电子模型,整合当前异质的基因组编辑数据,以得出无偏差的sgRNA设计规则,并识别改善sgRNA设计的关键特征。我们的综述表明,对sgRNA的靶向和脱靶效应进行系统的比较和评估,将使使用CRISPR系统进行更精确的基因组编辑和基因治疗成为可能。