4.8 Article

A split prime editor with untethered reverse transcriptase and circular RNA template

期刊

NATURE BIOTECHNOLOGY
卷 40, 期 9, 页码 1388-+

出版社

NATURE PORTFOLIO
DOI: 10.1038/s41587-022-01255-9

关键词

-

资金

  1. National Institutes of Health [DP2HL137167, P01HL131471, P01HL158506, UG3HL147367]
  2. American Cancer Society [129056-RSG-16-093]
  3. Cystic Fibrosis Foundation
  4. Leducq Foundation Transatlantic Network of Excellence Program

向作者/读者索取更多资源

This study reports a split prime editor (sPE) that can efficiently perform genome editing and shows potential therapeutic effects in a mouse model. Compared to previous split prime editors, this system reduces the complexity of the constructs and improves efficiency.
Delivery and optimization of prime editors (PEs) have been hampered by their large size and complexity. Although split versions of genome-editing tools can reduce construct size, they require special engineering to tether the binding and catalytic domains. Here we report a split PE (sPE) in which the Cas9 nickase (nCas9) remains untethered from the reverse transcriptase (RT). The sPE showed similar efficiencies in installing precise edits as the parental unsplit PE3 and no increase in insertion-deletion (indel) byproducts. Delivery of sPE to the mouse liver with hydrodynamic injection to modify beta-catenin drove tumor formation with similar efficiency as PE3. Delivery with two adeno-associated virus (AAV) vectors corrected the disease-causing mutation in a mouse model of type I tyrosinemia. Similarly, prime editing guide RNAs (pegRNAs) can be split into a single guide RNA (sgRNA) and a circular RNA RT template to increase flexibility and stability. Compared to previous sPEs, ours lacks inteins, protein-protein affinity modules and nuclease-sensitive pegRNA extensions, which increase construct complexity and might reduce efficiency. Our modular system will facilitate the delivery and optimization of PEs.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据