Optimizing CRISPR precision in mouse embryos via microhomology-mediated end joining-dominant targeting

CRISPR/Cas9 technology enables efficient gene editing in mice, but its reliance on non-homologous end joining often leads to unpredictable and mosaic mutations in founder (F0) animals. Here, we present a hybrid genome editing strategy that combines in silico prediction software with in vitro validation using mouse embryonic stem cells (mESCs). Although the software was trained on mESC datasets, actual editing outcomes in mESCs more accurately reflected mutation patterns observed in blastocysts and post-implantation embryos. Using this information to develop an integrated pipeline, we pre-selected guide RNAs (gRNAs) predicted to promote microhomology-mediated end joining (MMEJ)-dominant repair and validated them in mESCs prior to embryo injection. Applied to the Tyr and Fgf10 genes, this approach enabled efficient generation of F0 mice with highly uniform genotypes. Our strategy enhances the predictability and reproducibility of CRISPR-based genome editing in mice and may help reduce animal usage in gene editing studies.

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Publication Details

Journal
Communications Biology
Published
2026-03-23
DOI
https://doi.org/10.1038/s42003-026-09771-z
Primary Topic
CRISPR and Genetic Engineering
Type
article
Field-Weighted Citation Impact
0.00
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article

Optimizing CRISPR precision in mouse embryos via microhomology-mediated end joining-dominant targeting

Yasushi Itoh, Akihiro Kuno, Eiichi Okamura, Hayate Suzuki et al.
Communications Biology
CRISPR and Genetic Engineering
article

Optimizing CRISPR precision in mouse embryos via microhomology-mediated end joining-dominant targeting

Yasushi Itoh, Akihiro Kuno, Eiichi Okamura, Hayate Suzuki, Seiya Mizuno, Taito Taki, Knut Woltjen, Masatsugu Ema, Khanui Lkhagvadorj
article en

Abstract

CRISPR/Cas9 technology enables efficient gene editing in mice, but its reliance on non-homologous end joining often leads to unpredictable and mosaic mutations in founder (F0) animals. Here, we present a hybrid genome editing strategy that combines in silico prediction software with in vitro validation using mouse embryonic stem cells (mESCs). Although the software was trained on mESC datasets, actual editing outcomes in mESCs more accurately reflected mutation patterns observed in blastocysts and post-implantation embryos. Using this information to develop an integrated pipeline, we pre-selected guide RNAs (gRNAs) predicted to promote microhomology-mediated end joining (MMEJ)-dominant repair and validated them in mESCs prior to embryo injection. Applied to the Tyr and Fgf10 genes, this approach enabled efficient generation of F0 mice with highly uniform genotypes. Our strategy enhances the predictability and reproducibility of CRISPR-based genome editing in mice and may help reduce animal usage in gene editing studies.

Communications BiologyVol. 9(1)
University of Tsukuba (JP), Shiga University of Medical Science (JP), Kyoto University (JP), Institute of Applied Biochemistry (JP)
Openalex Percentile: Top 13%
CRISPR and Genetic Engineering
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Optimizing CRISPR precision in mouse embryos via microhomology-mediated end joining-dominant targeting — Yasushi Itoh, Akihiro Kuno, et al. · Communications Biology (2026) | TGRS Research Map | TGRS