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• W4376131495 startingPage "392" @default.
• W4376131495 abstract "Selecting the most suitable existing base editors and engineering new variants for installing specific base conversions with maximal efficiency and minimal undesired edits are pivotal for precise genome editing applications. Here, we present a platform for creating and analyzing a library of engineered base editor variants to enable head-to-head evaluation of their editing performance at scale. Our comprehensive comparison provides quantitative measures on each variant’s editing efficiency, purity, motif preference, and bias in generating single and multiple base conversions, while uncovering undesired higher indel generation rate and noncanonical base conversion for some of the existing base editors. In addition to engineering the base editor protein, we further applied this platform to investigate a hitherto underexplored engineering route and created guide RNA scaffold variants that augment the editor’s base-editing activity. With the unknown performance and compatibility of the growing number of engineered parts including deaminase, CRISPR-Cas enzyme, and guide RNA scaffold variants for assembling the expanding collection of base editor systems, our platform addresses the unmet need for an unbiased, scalable method to benchmark their editing outcomes and accelerate the engineering of next-generation precise genome editors." @default.
• W4376131495 created "2023-05-12" @default.
• W4376131495 creator A5031235292 @default.
• W4376131495 creator A5063230141 @default.
• W4376131495 creator A5074703170 @default.
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• W4376131495 date "2023-05-01" @default.
• W4376131495 modified "2023-10-14" @default.
• W4376131495 title "Parallel engineering and activity profiling of a base editor system" @default.
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• W4376131495 doi "https://doi.org/10.1016/j.cels.2023.03.007" @default.
• W4376131495 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37164010" @default.
• W4376131495 hasPublicationYear "2023" @default.
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