Cell
Volume 184, Issue 22, 28 October 2021, Pages 5635-5652.e29
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Article
Enhanced prime editing systems by manipulating cellular determinants of editing outcomes

https://doi.org/10.1016/j.cell.2021.09.018Get rights and content
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Highlights

  • Pooled CRISPRi screens reveal that MMR inhibits prime editing efficiency and precision

  • PE4 and PE5 enhance editing outcomes through co-expression of dominant negative MLH1

  • Programming additional silent mutations can enhance prime editing by evading MMR

  • PEmax editor improves prime editing efficacy in synergy with PE4, PE5, and epegRNAs

Summary

While prime editing enables precise sequence changes in DNA, cellular determinants of prime editing remain poorly understood. Using pooled CRISPRi screens, we discovered that DNA mismatch repair (MMR) impedes prime editing and promotes undesired indel byproducts. We developed PE4 and PE5 prime editing systems in which transient expression of an engineered MMR-inhibiting protein enhances the efficiency of substitution, small insertion, and small deletion prime edits by an average 7.7-fold and 2.0-fold compared to PE2 and PE3 systems, respectively, while improving edit/indel ratios by 3.4-fold in MMR-proficient cell types. Strategic installation of silent mutations near the intended edit can enhance prime editing outcomes by evading MMR. Prime editor protein optimization resulted in a PEmax architecture that enhances editing efficacy by 2.8-fold on average in HeLa cells. These findings enrich our understanding of prime editing and establish prime editing systems that show substantial improvement across 191 edits in seven mammalian cell types.

Keywords

prime editing
genome editing
CRISPR-Cas9
Repair-seq
mismatch repair

Data and code availability

Amplicon sequencing data generated during this study are available at the NCBI Sequence Read Archive database under PRJNA735408. Data from Repair-seq screens are available under PRJNA734952. Processed Repair-seq screen data are available at DOI: https://doi.org/10.5281/zenodo.5551032. The code used for data processing and analysis are available at https://github.com/pinellolab/CRISPResso2 and https://github.com/jeffhussmann/repair-seq (DOI: https://doi.org/10.5281/zenodo.5534778).

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