Evidence map›Paper›PMID 39657918›Full record

ArticleThe Plant cell2025

Efficient in situ epitope tagging of rice genes by nuclease-mediated prime editing.

Xueqi Li, Sujie Zhang, Chenyang Wang, Bin Ren, Fang Yan, Shaofang Li, Carl Spetz, Jinguang Huang, Xueping Zhou, Huanbin Zhou

Abstract read
In one paragraph

Article in The Plant cell, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

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

  1. Pooled it
  2. Review
  3. Article
  4. Transposase-Assisted Donor Tethering Boosts Large-Fragment HDR in Plants.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  5. Article
  6. Genome Editing Approaches in Flax (International journal of molecular sciences · 2026
    Review
  7. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Xueqi LiState Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing 100193, China.ORCID 0000-0001-5731-2927
Sujie ZhangState Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing 100193, China.ORCID 0000-0002-6852-7090
Chenyang WangState Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing 100193, China.ORCID 0000-0002-8436-3284
Bin RenState Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing 100193, China.ORCID 0000-0001-7213-9608
Fang YanState Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing 100193, China.ORCID 0009-0007-3809-3053
Shaofang LiState Key Laboratory of Vegetable Biobreeding, National Engineering Research Center for Vegetables, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Science, Beijing 100097, China.ORCID 0000-0002-1903-023X
Carl SpetzDivision of Biotechnology and Plant Health, Norwegian Institute of Bioeconomy Research, Aas 1432, Norway.ORCID 0000-0002-5292-1157
Jinguang HuangCollege of Plant Health and Medicine, Key Laboratory of Integrated Crop Disease and Pest Management of Shandong Province, Qingdao Agricultural University, Qingdao 266109, China.ORCID 0000-0002-5362-2992
Xueping ZhouState Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing 100193, China.ORCID 0000-0001-5311-7331
Huanbin ZhouState Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing 100193, China.ORCID 0000-0002-9471-7867

Funding

Agricultural Science and Technology Innovation ProgramBiological Breeding-Major Projects 2023ZD04074Hainan Seed Industry Laboratory B23CJ0208Nanfan special project of the Chinese Academy of Agricultural Sciences YBXM2313National Key Research and Development Program of China 2023YFD1202905
6 · The paper itself

Abstract

In situ epitope tagging is crucial for probing gene expression, protein localization, and the dynamics of protein interactions within their natural cellular context. However, the practical application of this technique in plants presents considerable hurdles. Here, we comprehensively explored the potential of the CRISPR/Cas nuclease-mediated prime editing and different DNA repair pathways in epitope tagging of endogenous rice (Oryza sativa) genes. We found that a SpCas9 nuclease/microhomology-mediated end joining (MMEJ)-based prime editing (PE) strategy (termed NM-PE) facilitates more straightforward and efficient gene tagging compared to the conventional and other derivative PE methods. Furthermore, the PAM-flexible SpRY and ScCas9 nucleases-based prime editors have been engineered and implemented for the tagging of endogenous genes with diverse epitopes, significantly broadening the applicability of NM-PE in rice. Moreover, NM-PE has been successfully adopted in simultaneous tagging of the MAP kinase (MPK) genes OsMPK1 and OsMPK13 in rice plants with c-Myc and HA tags, respectively. Taken together, our results indicate great potential of the NM-PE toolkit in the targeted gene tagging for Rice Protein Tagging Project, gene function study and genetic improvement.

Indexed as

CRISPR-Cas SystemsEpitopesGene EditingOryzaGenes, PlantPlant ProteinsPlants, Genetically ModifiedEpitopesPlant Proteins

Identifiers

PMID39657918
PMCPMC11823825

What OpenQuestion holds

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Registered trials

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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.