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Benchmarking of SpCas9 variants enables deeper base editor screens of BRCA1 and BCL2

Author

Listed:
  • Annabel K. Sangree

    (Broad Institute of MIT and Harvard)

  • Audrey L. Griffith

    (Broad Institute of MIT and Harvard)

  • Zsofia M. Szegletes

    (Broad Institute of MIT and Harvard)

  • Priyanka Roy

    (Broad Institute of MIT and Harvard)

  • Peter C. DeWeirdt

    (Broad Institute of MIT and Harvard)

  • Mudra Hegde

    (Broad Institute of MIT and Harvard)

  • Abby V. McGee

    (Broad Institute of MIT and Harvard)

  • Ruth E. Hanna

    (Broad Institute of MIT and Harvard)

  • John G. Doench

    (Broad Institute of MIT and Harvard)

Abstract

Numerous rationally-designed and directed-evolution variants of SpCas9 have been reported to expand the utility of CRISPR technology. Here, we assess the activity and specificity of WT-Cas9 and 10 SpCas9 variants by benchmarking their PAM preferences, on-target activity, and off-target susceptibility in cell culture assays with thousands of guides targeting endogenous genes. To enhance the coverage and thus utility of base editing screens, we demonstrate that the SpCas9-NG and SpG variants are compatible with both A > G and C > T base editors, more than tripling the number of guides and assayable residues. We demonstrate the performance of these technologies by screening for loss-of-function mutations in BRCA1 and Venetoclax-resistant mutations in BCL2, identifying both known and new mutations that alter function. We anticipate that the tools and methodologies described here will facilitate the investigation of genetic variants at a finer and deeper resolution for any locus of interest.

Suggested Citation

  • Annabel K. Sangree & Audrey L. Griffith & Zsofia M. Szegletes & Priyanka Roy & Peter C. DeWeirdt & Mudra Hegde & Abby V. McGee & Ruth E. Hanna & John G. Doench, 2022. "Benchmarking of SpCas9 variants enables deeper base editor screens of BRCA1 and BCL2," Nature Communications, Nature, vol. 13(1), pages 1-17, December.
  • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-28884-7
    DOI: 10.1038/s41467-022-28884-7
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    Cited by:

    1. Peter C. DeWeirdt & Abby V. McGee & Fengyi Zheng & Ifunanya Nwolah & Mudra Hegde & John G. Doench, 2022. "Accounting for small variations in the tracrRNA sequence improves sgRNA activity predictions for CRISPR screening," Nature Communications, Nature, vol. 13(1), pages 1-11, December.

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