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Activity-based selection for enhanced base editor mutational scanning

delete2025-10-14
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PRE
AI
E
Eleanor G. Kaplan
R
Ryan J. Steger
S
Shivang S. Shah
L
Laura M Drepanos
A
Audrey L Griffith
G
Ganna Reint
J
John G. Doench *
DOI:10.1038/s41588-025-02366-0delete
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Abstract

Abstract

En 中文
Base editing is a CRISPR-based technology that enables high-throughput, nucleotide-level functional interrogation of the genome that is essential for understanding the genetic basis of human disease and informing therapeutic development. Base editing screens have emerged as a powerful experimental approach, yet significant cell-to-cell variability in editing efficiency introduces noise that may obscure meaningful results. Here we develop a co-selection method that enriches for cells with high base editing activity, substantially increasing editing efficiency at a target locus. We evaluate this activity-based selection method against a traditional screening approach by tiling guide RNAs across TP53, demonstrating its enhanced capacity to pinpoint specific mutations and protein regions of functional importance. We anticipate that this modular selection method will enhance the resolution of base editing screens across many applications. This study presents a splice-based selection method that enriches actively editing cells in base editing screening at target loci, reducing the number of unedited cells from over 40% to less than 10%.
Keywords:
Base editing
CRISPR
Functional interrogation
Mutational scanning
Selection method

Journal

Nature Genetics cover
Nature Genetics
IF:
29
Papers:
692
Citations:
241

Organization

B
Broad Institute of MIT and Harvard
Scholars:
1.2K
Papers: 327
Citations: 0