Benchmarking CRISPR on-target sgRNA design

Jifang Yan, Guohui Chuai, Chi Zhou, Chenyu Zhu, Jing Yang, Chao Zhang, Feng Gu, Han Xu, Jia Wei, Qi Liu

Research output: Contribution to journalArticlepeer-review

21 Scopus citations

Abstract

CRISPR (Clustered Regularly Interspaced Short Palindromic Repeats)-based gene editing has been widely implemented in various cell types and organisms. A major challenge in the effective application of the CRISPR system is the need to design highly efficient single-guide RNA (sgRNA) with minimal off-target cleavage. Several tools are available for sgRNA design, while limited tools were compared. In our opinion, benchmarking the performance of the available tools and indicating their applicable scenarios are important issues. Moreover, whether the reported sgRNA design rules are reproducible across different sgRNA libraries, cell types and organisms remains unclear. In our study, a systematic and unbiased benchmark of the sgRNA predicting efficacy was performed on nine representative on-target design tools, based on six benchmark data sets covering five different cell types. The benchmark study presented here provides novel quantitative insights into the available CRISPR tools.

Original languageEnglish (US)
Pages (from-to)721-724
Number of pages4
JournalBriefings in bioinformatics
Volume19
Issue number4
DOIs
StatePublished - Jul 1 2018
Externally publishedYes

Keywords

  • CRISPR
  • benchmark
  • gene editing
  • sgRNA

ASJC Scopus subject areas

  • Information Systems
  • Molecular Biology

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