4.7 Article

Sequence determinants of improved CRISPR sgRNA design

Journal

GENOME RESEARCH
Volume 25, Issue 8, Pages 1147-1157

Publisher

COLD SPRING HARBOR LAB PRESS, PUBLICATIONS DEPT
DOI: 10.1101/gr.191452.115

Keywords

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Funding

  1. National Institute for Health Research (NIHR) [U01 CA180980, R01 GM113242-01]
  2. National Science Foundation (NSF) [DMS-1120368]
  3. Claudia Adams Barr Award in Innovative Basic Cancer Research from the Dana-Farber Cancer Institute
  4. NATIONAL CANCER INSTITUTE [P50CA090381, U01CA180980] Funding Source: NIH RePORTER
  5. NATIONAL HUMAN GENOME RESEARCH INSTITUTE [R01HG008728] Funding Source: NIH RePORTER
  6. NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES [R01GM113242] Funding Source: NIH RePORTER
  7. NATIONAL INSTITUTE OF MENTAL HEALTH [R01MH110049, DP1MH100706] Funding Source: NIH RePORTER
  8. Division Of Mathematical Sciences [1120368, 1208771] Funding Source: National Science Foundation

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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.

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