片段(逻辑)
计算机科学
上游(联网)
素数(序理论)
航程(航空)
知识库
基础(拓扑)
下游(制造业)
计算生物学
索引
基因组编辑
生物
人工智能
遗传学
程序设计语言
基因组
数学
组合数学
工程类
电信
数学分析
运营管理
基因型
单核苷酸多态性
基因
航空航天工程
作者
Youcai Xiong,Yuhong Su,Ruigao He,Xiaosong Han,Shengli Li,Minghuan Liu,Xiaoning Xi,Zijia Liu,Heng Wang,Shengsong Xie,Xuewen Xu,Kui Li,Jifeng Zhang,Jie Xu,Xinyun Li,Shuhong Zhao,Jinxue Ruan
标识
DOI:10.1038/s41467-025-56734-9
摘要
Abstract Prime editing systems (PEs) hold great promise in modern biotechnology. However, their editing range is limited as PEs can only modify the downstream sequences of the pegRNA nick. Here, we report the development of the ex tended p rime e dito r sys t em (EXPERT) to overcome this limitation by using an extended pegRNA (ext-pegRNA) with modified 3’ extension, and an additional sgRNA (ups-sgRNA) targeting the upstream region of the ext-pegRNA. We demonstrate that EXPERT can efficiently perform editing on both sides of the ext-pegRNA nick, a task that is unattainable by canonical PEs. EXPERT exhibits prominent capacity in replacing sequences up to 88 base pairs and inserting sequences up to 100 base pairs within the upstream region of the ext-pegRNA nick. Compared to canonical PEs such as PE2, the utilization of the EXPERT strategy significantly enhances the editing efficiency for large fragment edits with an average improvement of 3.12-fold, up to 122.1 times higher. Safety wise, the use of ups-sgRNA does not increase the rates of undesirable insertions and deletions (indels), as the two nicks are on the same strand. Moreover, we do not observe increased off-target editing rates genome-wide. Our work introduces EXPERT as a PE tool with significant potential in life sciences.
科研通智能强力驱动
Strongly Powered by AbleSci AI