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Integrated design, execution, and analysis of arrayed and pooled CRISPR genome-editing experiments

机译:集成的设计,执行和分析排列和汇集CRISPR基因组编辑实验

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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.
机译:CRISPR(聚类定期间隙的短文重复)基因组编辑实验提供了使用阵列单引导RNA(SGRNA)或合并的SGRNA文库评估基因组基因座的巨大潜力。可提供许多计算工具,以帮助设计具有最佳目标效率和最小的偏离目标电位的SGRNA。此外,已经开发了计算工具来分析由基因组编辑实验产生的深序列数据。然而,这些工具通常是以隔离的,并且通常不易易于翻译成基于实验室的实验。这里,我们提出了一种协议,详细描述了阵列和/或汇集基因组编辑实验的计算和台式实现。本协议提供了具有CRISOR的SGRNA设计的说明(用于设计,评估和SGRNA序列的克隆的计算工具),实验实施方式和分析由CSSPRINTSPRINGS产生的高通量测序数据(用于分析基因组编辑结果的计算工具)从深序数据中)。该协议允许在非专家4-5周内设计和执行排列和汇集CRISPR实验,以及通过基于Web的网络和非计算生物学家可以在1-2天中进行的计算数据分析。 /或命令行版本。

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