Enhancement of prime editing via xrRNA motif-joined pegRNA
Guiquan Zhang,
Yao Liu,
Shisheng Huang,
Shiyuan Qu,
Daolin Cheng,
Yuan Yao,
Quanjiang Ji,
Xiaolong Wang (),
Xingxu Huang () and
Jianghuai Liu ()
Additional contact information
Guiquan Zhang: Model Animal Research Center at Medical School of Nanjing University
Yao Liu: Northwest A&F University
Shisheng Huang: ShanghaiTech University
Shiyuan Qu: ShanghaiTech University
Daolin Cheng: Model Animal Research Center at Medical School of Nanjing University
Yuan Yao: Zhejiang University
Quanjiang Ji: ShanghaiTech University
Xiaolong Wang: Northwest A&F University
Xingxu Huang: ShanghaiTech University
Jianghuai Liu: Model Animal Research Center at Medical School of Nanjing University
Nature Communications, 2022, vol. 13, issue 1, 1-12
Abstract:
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.
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-29507-x
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DOI: 10.1038/s41467-022-29507-x
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