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

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• 作者：Guo-hui Chuai¹ ; ³ ; Qi-Long Wang² ; ³ ; Qi Liu¹ ; ^{qiliu@tongji.edu.cn}
• 关键词：CRISPR ; in silico sgRNA design ; off-target ; genome editing
• 刊名：Trends in Biotechnology
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：35
• 期：1
• 页码：12-21
• 全文大小：1494 K
• 卷排序：35

文摘

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.