Marker-free quantification of repair pathway utilization at Cas9-induced double-strand breaks
Author(s) -
Wanjuan Feng,
Dennis A. Simpson,
Jang-Eun Cho,
Juan Carvajal-Garcia,
Chelsea M. Smith,
Kathryn M. Headley,
Nate Hathaway,
Dale A. Ramsden,
Gaorav P. Gupta
Publication year - 2021
Publication title -
nucleic acids research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 9.008
H-Index - 537
eISSN - 1362-4954
pISSN - 0305-1048
DOI - 10.1093/nar/gkab299
Subject(s) - biology , homologous recombination , digital polymerase chain reaction , crispr , genome editing , amplicon , cas9 , dna repair , homology directed repair , computational biology , genome instability , dna , non homologous end joining , genetics , microbiology and biotechnology , dna damage , gene , polymerase chain reaction , dna mismatch repair
Genome integrity and genome engineering require efficient repair of DNA double-strand breaks (DSBs) by non-homologous end joining (NHEJ), homologous recombination (HR), or alternative end-joining pathways. Here we describe two complementary methods for marker-free quantification of DSB repair pathway utilization at Cas9-targeted chromosomal DSBs in mammalian cells. The first assay features the analysis of amplicon next-generation sequencing data using ScarMapper, an iterative break-associated alignment algorithm to classify individual repair products based on deletion size, microhomology usage, and insertions. The second assay uses repair pathway-specific droplet digital PCR assays ('PathSig-dPCR') for absolute quantification of signature DSB repair outcomes. We show that ScarMapper and PathSig-dPCR enable comprehensive assessment of repair pathway utilization in different cell models, after a variety of experimental perturbations. We use these assays to measure the differential impact of DNA end resection on NHEJ, HR and polymerase theta-mediated end joining (TMEJ) repair. These approaches are adaptable to any cellular model system and genomic locus where Cas9-mediated targeting is feasible. Thus, ScarMapper and PathSig-dPCR allow for systematic fate mapping of a targeted DSB with facile and accurate quantification of DSB repair pathway choice at endogenous chromosomal loci.
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