Sequence determinants of improved CRISPR sgRNA design

Han Xu, Tengfei Xiao, Chen Hao Chen, Wei Li, Clifford A. Meyer, Qiu Wu, Di Wu, Le Cong, Feng Zhang, Jun S. Liu, Myles Brown, X. Shirley Liu

Research output: Contribution to journalArticlepeer-review

414 Scopus citations

Abstract

The CRISPR/Cas9 system has revolutionized mammalian somatic cell genetics. Genome-wide functional screens using CRISPR/Cas9-mediated knockout or dCas9 fusion-mediated inhibition/activation (CRISPRi/a) are powerful techniques for discovering phenotype-associated gene function. We systematically assessed the DNA sequence features that contribute to single guide RNA (sgRNA) efficiency in CRISPR-based screens. Leveraging the information from multiple designs, we derived a new sequence model for predicting sgRNA efficiency in CRISPR/Cas9 knockout experiments. Our model confirmed known features and suggested new features including a preference for cytosine at the cleavage site. The model was experimentally validated for sgRNA-mediated mutation rate and protein knockout efficiency. Tested on independent data sets, the model achieved significant results in both positive and negative selection conditions and outperformed existing models. We also found that the sequence preference for CRISPRi/a is substantially different from that for CRISPR/Cas9 knockout and propose a new model for predicting sgRNA efficiency in CRISPRi/a experiments. These results facilitate the genome-wide design of improved sgRNA for both knockout and CRISPRi/a studies.

Original languageEnglish (US)
Pages (from-to)1147-1157
Number of pages11
JournalGenome research
Volume25
Issue number8
DOIs
StatePublished - Aug 1 2015
Externally publishedYes

ASJC Scopus subject areas

  • Genetics
  • Genetics(clinical)

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