SunTag-PE: a modular prime editing system enables versatile and efficient genome editing

Prime editing (PE) holds tremendous potential in the treatment of genetic diseases because it can install any desired base substitution or local insertion/deletion. However, the full-length PE effector size (6.3-kb) is beyond the packaging capacity of adeno-associated virus (AAV), hindering its clinical translation. Various splitting strategies have been used to improve its delivery, but always accompanied by compromised PE efficiency. Here, we developed a modular and efficient SunTag-PE system that splits PE effectors into GCN4-nCas9 and single-chain variable fragment (scFv) tethered reverse transcriptase (RT). We observed that SunTag-PEs with 1×GCN4 in the N terminus of nCas9 was the most efficient configuration rather than multiple copies of GCN4. This SunTag-PE strategy achieved editing levels comparable to canonical fused-PE (nCas9 and RT are linked together) and higher than other split-PE strategies (including sPE and MS2-PE) in both PE2 and PE3 forms with no increase in insertion and deletion (indel) byproducts. Moreover, we successfully validated the modularity of SunTag-PE system in the Cas9 orthologs of SauCas9 and FrCas9. Finally, we employed dual AAVs to deliver SunTag-ePE3 and efficiently corrected the pathogenic mutation in HBB mutant cell line. Collectively, our SunTag-PE system provides an efficient modular splitting strategy for prime editing and further facilitate its transformation in clinics.

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Publication Details

Journal
Communications Biology
Published
2025-03-17
DOI
https://doi.org/10.1038/s42003-025-07893-4
Citations
2
Primary Topic
CRISPR and Genetic Engineering
Type
article
Field-Weighted Citation Impact
1.61
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article

SunTag-PE: a modular prime editing system enables versatile and efficient genome editing

Mengya Zhao, Chaoyue Zhong, Min Su, Zheng Hu et al.
2 citations
Communications Biology
CRISPR and Genetic Engineering
1.61
article

SunTag-PE: a modular prime editing system enables versatile and efficient genome editing

Mengya Zhao, Chaoyue Zhong, Min Su, Zheng Hu, Ye Chen, Yuyan Wang, Rui Tian, Jiashuo Liu, Zheying Huang, Tingting Zhao, Ping Zhou, D. W. He, Jingjing Zhang
article en
2 citations

Abstract

Prime editing (PE) holds tremendous potential in the treatment of genetic diseases because it can install any desired base substitution or local insertion/deletion. However, the full-length PE effector size (6.3-kb) is beyond the packaging capacity of adeno-associated virus (AAV), hindering its clinical translation. Various splitting strategies have been used to improve its delivery, but always accompanied by compromised PE efficiency. Here, we developed a modular and efficient SunTag-PE system that splits PE effectors into GCN4-nCas9 and single-chain variable fragment (scFv) tethered reverse transcriptase (RT). We observed that SunTag-PEs with 1×GCN4 in the N terminus of nCas9 was the most efficient configuration rather than multiple copies of GCN4. This SunTag-PE strategy achieved editing levels comparable to canonical fused-PE (nCas9 and RT are linked together) and higher than other split-PE strategies (including sPE and MS2-PE) in both PE2 and PE3 forms with no increase in insertion and deletion (indel) byproducts. Moreover, we successfully validated the modularity of SunTag-PE system in the Cas9 orthologs of SauCas9 and FrCas9. Finally, we employed dual AAVs to deliver SunTag-ePE3 and efficiently corrected the pathogenic mutation in HBB mutant cell line. Collectively, our SunTag-PE system provides an efficient modular splitting strategy for prime editing and further facilitate its transformation in clinics.

Communications BiologyVol. 8(1)
Sun Yat-sen University (CN), Dalian Medical University (CN), Wuhan University (CN), Second Affiliated Hospital of Chongqing Medical University (CN), Guangdong Province Special Equipment Testing and Research Institute Zhuhai Testing Institute (CN), Zhongnan Hospital of Wuhan University (CN), Dongguan People’s Hospital (CN), The First Affiliated Hospital, Sun Yat-sen University (CN), Tianma Microelectronics (China) (CN), Chongqing Medical University (CN)
Openalex Percentile: Top 19%
CRISPR and Genetic Engineering
1.61
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