Nature BiotechnologyBioengineeringPeer-reviewed journal article
Engineered mitochondrial A-to-G editors with enhanced efficiency and targeting scope
Liang CheniD, Mengjia HongiD, Changming Luan, Meng YuaniD, Yiming WangiD, Xinyuan GuoiD, Yue FangiD, Hao Huang, Xiaohua DongiD, Hongyi Gao, Dan ZhangiD, Xi CheniD, Dong MengiD, Molin Huang, Zongyi YiiD, Mingyao LiuiD, Wensheng WeiiD, Liangcai GaoiD, Gaojie SongiD, Xiaoming ZhouiD, Dali LiiD
Abstract
Mitochondrial base editing is a powerful technology, but the current A-to-G mitochondrial DNA (mtDNA) base editors are reluctant to achieve high efficiency, which is critical for mtDNA engineering. Through laboratory evolution, TadA-8e variants were discovered with substantially increased activity and expanded targeting compatibility, especially for previously unfavorite sequence contexts, when applied to both nuclear and mitochondrial ABEs. Further engineering of the mtDNA editors (eTd-mtABEs) dramatically reduced both DNA and RNA off-targeting effects and enhanced strand-selective A-to-G editing with substitution of DddA to DNA nickases. Moreover, the eTd-mtABEs induced up to 145-fold editing frequencies compared to previous mtDNA adenine base editors in rat cells, and installed targeted mutations in all injected rat embryos with up to 74% efficiency in founders, resulting generation of SNHL and Leigh syndrome models with severe defects. It suggests that eTd-mtABEs are promising mtDNA engineering technology for basic research and for translational studies. HighlightsO_LIEngineered TadA variants enhance nuclear and mitochondrial ABE activity in all sequence contexts. C_LIO_LIAdditional mutations in eTd-mtABEs further minimize both DNA and RNA off-targeting effects. C_LIO_LIEngineered TadA variants are compatible to DNA nickase assisted strand-selective mtDNA editing. C_LIO_LIeTd-mtABEs enable highly efficient generation of rat mtDNA disease models with severe phenotypes. C_LI
- organism: rat
- assay: CRISPR screen
- research focus: cancer & tumor microenvironment
- research focus: cell type annotation
- research focus: gene regulatory network inference
- research focus: drug response / drug discovery
- approach: experimental assay
- approach: genetic perturbation / CRISPR
- Citations
- 32
- FWCI
- 8.84
- Field percentile
- top 1%
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