Abstract

The prime editors (PEs) have shown great promise for precise genome modification. However, their suboptimal efficiencies present a significant technical challenge. Here, by appending a viral exoribonuclease-resistant RNA motif (xrRNA) to the 3′-extended portion of pegRNAs for their increased resistance against degradation, we develop an upgraded PE platform (xrPE) with substantially enhanced editing efficiencies in multiple cell lines. A pan-target average enhancement of up to 3.1-, 4.5- and 2.5-fold in given cell types is observed for base conversions, small deletions, and small insertions, respectively. Additionally, xrPE exhibits comparable edit:indel ratios and similarly minimal off-target editing as the canonical PE3. Of note, parallel comparison of xrPE to the most recently developed epegRNA-based PE system shows their largely equivalent editing performances. Our study establishes a highly adaptable platform of improved PE that shall have broad implications.

The prime editors (PEs) have shown great promise for precise genome modification. Here the authors place a stabilizing viral xrRNA motif to the 3′ of pegRNAs to enhance editing efficiencies.

Details

Title
Enhancement of prime editing via xrRNA motif-joined pegRNA
Author
Zhang Guiquan 1 ; Liu, Yao 2 ; Huang Shisheng 3 ; Qu Shiyuan 3 ; Cheng Daolin 1 ; Yao, Yuan 4 ; Ji Quanjiang 5   VIAFID ORCID Logo  ; Wang, Xiaolong 2   VIAFID ORCID Logo  ; Huang Xingxu 6   VIAFID ORCID Logo  ; Liu Jianghuai 1   VIAFID ORCID Logo 

 Model Animal Research Center at Medical School of Nanjing University, State Key Laboratory of Pharmaceutical Biotechnology and MOE Key Laboratory of Model Animals for Disease Study, Nanjing, China (GRID:grid.41156.37) (ISNI:0000 0001 2314 964X) 
 Northwest A&F University, Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Yangling, China (GRID:grid.144022.1) (ISNI:0000 0004 1760 4150) 
 ShanghaiTech University, Gene Editing Center, School of Life Science and Technology, Shanghai, China (GRID:grid.440637.2) (ISNI:0000 0004 4657 8879) 
 Zhejiang University, Hangzhou Global Scientific and Technological Innovation Center, Hangzhou, China (GRID:grid.13402.34) (ISNI:0000 0004 1759 700X) 
 ShanghaiTech University, School of Physical Science and Technology, Shanghai, China (GRID:grid.440637.2) (ISNI:0000 0004 4657 8879) 
 ShanghaiTech University, Gene Editing Center, School of Life Science and Technology, Shanghai, China (GRID:grid.440637.2) (ISNI:0000 0004 4657 8879); Zhejiang Laboratory, Hangzhou, China (GRID:grid.510538.a) (ISNI:0000 0004 8156 0818) 
Publication year
2022
Publication date
2022
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2647457088
Copyright
© The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.