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通过模拟高度编辑的内源性ADAR底物的引导RNA改进RNA碱基编辑。

Improved RNA base editing with guide RNAs mimicking highly edited endogenous ADAR substrates.

作者信息

Sun Yuanfan, Cao Yong, Song Yulong, Li Jin, Hou Yongheng, Huang Wen, Xie Guodong, Yang Wenbing, Zhang Rui

机构信息

MOE Key Laboratory of Gene Function and Regulation, Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-Sen University, Guangzhou, China.

RecoRNA Biotechnology, Guangzhou, China.

出版信息

Nat Biotechnol. 2025 Apr 3. doi: 10.1038/s41587-025-02628-6.

Abstract

Adenosine deaminase acting on RNA (ADAR)-mediated RNA base editing offers a safer alternative to genome editing for specific clinical applications because of nonpermanent editing of targets. Current guide RNA (gRNA) designs feature a fully complementary specificity domain with an A-C mismatch at the targeted adenosine. However, perfectly matched dsRNA is not the most effective ADAR substrate. Here we introduce MIRROR (mimicking inverted repeats to recruit ADARs using engineered oligoribonucleotides), an approach that implements structural motifs derived from highly edited inverted Alu repeats in human tissues to enable rational gRNA design for ADAR recruitment. We demonstrated that MIRROR is applicable to both short chemically synthesized gRNAs with modifications and long biologically generated gRNAs and surpasses current state-of-the-art approaches in both gRNA forms. It enhances editing efficiency by up to 5.7-fold in multiple human cell types and primary hepatocytes from an alpha-1 antitrypsin deficiency mouse model. Our findings improve programmable RNA editing in vitro and in vivo by rational design through the screening of highly edited natural substrate mimics.

摘要

作用于RNA的腺苷脱氨酶(ADAR)介导的RNA碱基编辑为特定临床应用提供了一种比基因组编辑更安全的选择,因为其对靶点的编辑是不持久的。目前的向导RNA(gRNA)设计的特点是具有一个完全互补的特异性结构域,在靶向腺苷处存在A-C错配。然而,完全匹配的双链RNA并不是最有效的ADAR底物。在此,我们介绍了MIRROR(使用工程化寡核糖核苷酸模拟反向重复序列以招募ADAR),这是一种利用源自人类组织中高度编辑的反向Alu重复序列的结构基序来实现合理的gRNA设计以招募ADAR的方法。我们证明MIRROR适用于经过修饰的短化学合成gRNA和长生物生成的gRNA,并且在两种gRNA形式上都超越了当前的先进方法。它在多种人类细胞类型以及来自α-1抗胰蛋白酶缺乏小鼠模型的原代肝细胞中,将编辑效率提高了多达5.7倍。我们的研究结果通过筛选高度编辑的天然底物模拟物进行合理设计,改善了体外和体内的可编程RNA编辑。

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