EXPERT expands prime editing efficiency and range of large fragment edits

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 extended prime editor system (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.

Authors

Institutions

Publication Details

Journal
Nature Communications
Published
2025-02-12
DOI
https://doi.org/10.1038/s41467-025-56734-9
Citations
14
Primary Topic
CRISPR and Genetic Engineering
Type
article
Field-Weighted Citation Impact
11.28

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

EXPERT expands prime editing efficiency and range of large fragment edits

Jie Xu, Shengsong Xie, Xinyun Li, Zijia Liu et al.
14 citations
Nature Communications
CRISPR and Genetic Engineering
11.28
article

EXPERT expands prime editing efficiency and range of large fragment edits

Jie Xu, Shengsong Xie, Xinyun Li, Zijia Liu, Yuhong Su, Xiaoning Xi, Shuhong Zhao, Xiaosong Han, Jinxue Ruan, Shengli Li, Youcai Xiong, Kui Li, Heng Wang, Ruigao He, Jifeng Zhang, Minghuan Liu, Xuewen Xu
article en
14 citations

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 extended prime editor system (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.

Nature CommunicationsVol. 16(1)
Huazhong Agricultural University (CN), University of Michigan (US), Agricultural Genomics Institute at Shenzhen (CN), Michigan Center for Translational Pathology (US), Ministry of Agriculture (CA), Chinese Academy of Agricultural Sciences (CN), Center of Hubei Cooperative Innovation for Emissions Trading System (CN), Ministry of Agriculture and Rural Affairs (CN)
National Natural Science Foundation of China, Chinese Academy of Sciences, Foundation for Innovative Research Groups of the National Natural Science Foundation of China, Institute of Hydrobiology
Responsible consumption and production
Openalex Percentile: Top 1%
CRISPR and Genetic Engineering
11.28
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.