Unknown

Dataset Information

0

Deploying MMEJ using MENdel in precision gene editing applications for gene therapy and functional genomics.


ABSTRACT: Gene-editing experiments commonly elicit the error-prone non-homologous end joining for DNA double-strand break (DSB) repair. Microhomology-mediated end joining (MMEJ) can generate more predictable outcomes for functional genomic and somatic therapeutic applications. We compared three DSB repair prediction algorithms - MENTHU, inDelphi, and Lindel - in identifying MMEJ-repaired, homogeneous genotypes (PreMAs) in an independent dataset of 5,885 distinct Cas9-mediated mouse embryonic stem cell DSB repair events. MENTHU correctly identified 46% of all PreMAs available, a ?2- and ?60-fold sensitivity increase compared to inDelphi and Lindel, respectively. In contrast, only Lindel correctly predicted predominant single-base insertions. We report the new algorithm MENdel, a combination of MENTHU and Lindel, that achieves the most predictive coverage of homogeneous out-of-frame mutations in this large dataset. We then estimated the frequency of Cas9-targetable homogeneous frameshift-inducing DSBs in vertebrate coding regions for gene discovery using MENdel. 47 out of 54 genes (87%) contained at least one early frameshift-inducing DSB and 49 out of 54 (91%) did so when also considering Cas12a-mediated deletions. We suggest that the use of MENdel helps researchers use MMEJ at scale for reverse genetics screenings and with sufficient intra-gene density rates to be viable for nearly all loss-of-function based gene editing therapeutic applications.

SUBMITTER: Martinez-Galvez G 

PROVIDER: S-EPMC7797032 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature

altmetric image

Publications

Deploying MMEJ using MENdel in precision gene editing applications for gene therapy and functional genomics.

Martínez-Gálvez Gabriel G   Joshi Parnal P   Friedberg Iddo I   Manduca Armando A   Ekker Stephen C SC  

Nucleic acids research 20210101 1


Gene-editing experiments commonly elicit the error-prone non-homologous end joining for DNA double-strand break (DSB) repair. Microhomology-mediated end joining (MMEJ) can generate more predictable outcomes for functional genomic and somatic therapeutic applications. We compared three DSB repair prediction algorithms - MENTHU, inDelphi, and Lindel - in identifying MMEJ-repaired, homogeneous genotypes (PreMAs) in an independent dataset of 5,885 distinct Cas9-mediated mouse embryonic stem cell DSB  ...[more]

Similar Datasets

| S-EPMC9226534 | biostudies-literature
| S-EPMC8878256 | biostudies-literature
| S-EPMC6152997 | biostudies-literature
| S-EPMC10148993 | biostudies-literature
| S-EPMC5478260 | biostudies-literature
| S-EPMC8833749 | biostudies-literature
| S-EPMC10775503 | biostudies-literature
| S-EPMC29835 | biostudies-literature
| S-EPMC10046175 | biostudies-literature
| S-EPMC7312441 | biostudies-literature