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Usage Information

Mini-dCas13X–mediated RNA editing restores dystrophin expression in a humanized mouse model of Duchenne muscular dystrophy
Guoling Li, Ming Jin, Zhifang Li, Qingquan Xiao, Jiajia Lin, Dong Yang, Yuanhua Liu, Xing Wang, Long Xie, Wenqin Ying, Haoqiang Wang, Erwei Zuo, Linyu Shi, Ning Wang, Wanjin Chen, Chunlong Xu, Hui Yang
Guoling Li, Ming Jin, Zhifang Li, Qingquan Xiao, Jiajia Lin, Dong Yang, Yuanhua Liu, Xing Wang, Long Xie, Wenqin Ying, Haoqiang Wang, Erwei Zuo, Linyu Shi, Ning Wang, Wanjin Chen, Chunlong Xu, Hui Yang
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Research Article

Mini-dCas13X–mediated RNA editing restores dystrophin expression in a humanized mouse model of Duchenne muscular dystrophy

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Abstract

Approximately 10% of monogenic diseases are caused by nonsense point mutations that generate premature termination codons (PTCs), resulting in a truncated protein and nonsense-mediated decay of the mutant mRNAs. Here, we demonstrate a mini-dCas13X–mediated RNA adenine base editing (mxABE) strategy to treat nonsense mutation–related monogenic diseases via A-to-G editing in a genetically humanized mouse model of Duchenne muscular dystrophy (DMD). Initially, we identified a nonsense point mutation (c.4174C>T, p.Gln1392*) in the DMD gene of a patient and validated its pathogenicity in humanized mice. In this model, mxABE packaged in a single adeno-associated virus (AAV) reached A-to-G editing rates up to 84% in vivo, at least 20-fold greater than rates reported in previous studies using other RNA editing modalities. Furthermore, mxABE restored robust expression of dystrophin protein to over 50% of WT levels by enabling PTC read-through in multiple muscle tissues. Importantly, systemic delivery of mxABE by AAV also rescued dystrophin expression to averages of 37%, 6%, and 54% of WT levels in the diaphragm, tibialis anterior, and heart muscle, respectively, as well as rescued muscle function. Our data strongly suggest that mxABE-based strategies may be a viable new treatment modality for DMD and other monogenic diseases.

Authors

Guoling Li, Ming Jin, Zhifang Li, Qingquan Xiao, Jiajia Lin, Dong Yang, Yuanhua Liu, Xing Wang, Long Xie, Wenqin Ying, Haoqiang Wang, Erwei Zuo, Linyu Shi, Ning Wang, Wanjin Chen, Chunlong Xu, Hui Yang

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Usage data is cumulative from September 2025 through September 2026.

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ISSN: 0021-9738 (print), 1558-8238 (online)

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