Evidence map›Paper›PMID 38942381›Full record

ArticleJournal of advanced research2025

Developing a multi-modular assembled prime editing (mPE) system improved precise multi-base insertion efficiency in dicots.

Pengjun Lu, Erwei Zuo, Jianbin Yan

Abstract read
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Article in Journal of advanced research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

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6citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Pengjun LuShenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China.
Erwei ZuoShenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China.
Jianbin YanShenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China. Electronic address: jianbinlab@caas.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe Prime Editing (PE) system is a precise and versatile genome editing tool with great potential in plant breeding and plant synthetic biology. However, low PE efficiency severely restricts its application, especially in dicots. PE can introduce small tags to trace target protein or cis-element to regulate gene transcription which is an expertise superior to other gene editing tools. Owing to low efficiency, PE adaption in stably transformed Arabidopsis is lacking.

objectivesThis study aimed to investigate the issue of low PE efficiency in dicots and develop systematic solutions to improve it. Currently, PE in dicots is undetectable and inconsistent, and this study seeks to address it. Split PE into several parts showed better performance in some target sites in mammal cells. We plan to discover the optimal split PE combination in dicot.

methodsWe conducted large-scale transformation experiments in dicot model plants Arabidopsis thaliana (At) and Nicotiana benthamiana (Nb) by Agrobacterium-mediated transformation with deep amplicon sequencing (0.2-0.5 million clean total reads).

resultsThe editing efficiency decreased upon using a fused reverse transcriptase (RT) or an extended pegRNA separately and further decreased dramatically when these were used together. With the help of the pol II strategy to express PE gRNA (pegRNA), we named the most effective split PE combination as a multi-modular assembled prime editing system (mPE). mPE exhibited improved precise editing efficiency on most gene sites with various editing types, ranging from 1.3-fold to 1288.5-fold and achieved PE on some sites that could not be edited by original PE2. Especially, mPE showed superiority for multi-base insertion with an average improvement of 197.9-fold.

conclusionThe original PE architecture strongly inhibited the cleavage activity of Cas9. Split PE improved PE efficiency extensively and was in favor of introducing small insertions in dicot plants, indicating that different PE variants might have their own expertise.

Indexed as

ArabidopsisCRISPR-Cas SystemsGene EditingNicotianaGenome, PlantPlants, Genetically ModifiedArabidopsis thalianaCRISPRDicotGenome editingNicotiana benthamianaPrime editing

Identifiers

PMID38942381
PMCPMC12126734

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.