清脆的
基因组编辑
计算机科学
计算生物学
Cas9
基因组
协议(科学)
引导RNA
亚基因组mRNA
DNA测序
生物
遗传学
基因
医学
病理
替代医学
作者
Matthew C. Canver,Maximilian Haeussler,Daniel E. Bauer,Stuart H. Orkin,Neville E. Sanjana,Ophir Shalem,Guo‐Cheng Yuan,Feng Zhang,Jean‐Paul Concordet,Luca Pinello
出处
期刊:Nature Protocols
[Nature Portfolio]
日期:2018-04-12
卷期号:13 (5): 946-986
被引量:85
标识
DOI:10.1038/nprot.2018.005
摘要
This protocol describes how to set up arrayed and pooled CRISPR genome-editing experiments. It describes the design of sgRNAs using CRISPOR, the wet-lab implementations, and analysis of the generated results by CRISPResso. CRISPR (clustered regularly interspaced short palindromic repeats) genome-editing experiments offer enormous potential for the evaluation of genomic loci using arrayed single guide RNAs (sgRNAs) or pooled sgRNA libraries. Numerous computational tools are available to help design sgRNAs with optimal on-target efficiency and minimal off-target potential. In addition, computational tools have been developed to analyze deep-sequencing data resulting from genome-editing experiments. However, these tools are typically developed in isolation and oftentimes are not readily translatable into laboratory-based experiments. Here, we present a protocol that describes in detail both the computational and benchtop implementation of an arrayed and/or pooled CRISPR genome-editing experiment. This protocol provides instructions for sgRNA design with CRISPOR (computational tool for the design, evaluation, and cloning of sgRNA sequences), experimental implementation, and analysis of the resulting high-throughput sequencing data with CRISPResso (computational tool for analysis of genome-editing outcomes from deep-sequencing data). This protocol allows for design and execution of arrayed and pooled CRISPR experiments in 4–5 weeks by non-experts, as well as computational data analysis that can be performed in 1–2 d by both computational and noncomputational biologists alike using web-based and/or command-line versions.
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