bioRxivMolecular BiologyPreprint
An integrated enzymatic and computational pipeline for quantifying off-target base-editing
Alexander G. McFarlandiD, Soon‐Keat OoiiD, Davin Tafuri, Elahe Kamali Ghahe, Natalie Cooper, Emma J. CookiD, Shantan G. Reddy, Danuta Jadwiga Jarocha, Nils WellhauseniD, Saar I. GilliD, Aoife M. Roche, Joseph A. FraiettaiD, Frederic D. BushmaniD, Friederike HerbstiD
Abstract
DNA base editing is increasingly used for human genetic modification, but methods for monitoring off-target editing are nascent. Here we present a simple model-independent workflow for identifying sites of off-target base-editing in relevant cell types on a genome-wide level. We report that sites of off-target editing by the ABE8e editor could be identified using an ABE8e derivative with restored DSB cleavage activity. This allows marking of enzyme-generated double-stranded (ds) DNA breaks by incorporation of dsDNA oligonucleotides that are transfected into primary target cells. DNA sequencing at sites of oligonucleotide incorporation reported both the genomic location of off-target cleavage and the extent of base-editing nearby. We present a platform combining this cellular (BEiGUIDE-Seq) and computational workflow (CRISPRito) to generate optimized amplicon panels for convenient monitoring of off-target base editing. This work introduces a generalizable strategy to evaluate off-target edits in patient-derived cells, addressing a critical safety gap for clinical base editing.
- organism: human
- assay: DNA methylation
- assay: whole-genome sequencing
- research focus: variant calling
- research focus: benchmarking
- research focus: software / tool
- approach: experimental assay
- approach: statistical model
- Citations
- 0
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