Evidence map›Paper›PMID 42653231›Full record

ReviewInternational journal of molecular sciences2026

Application of Proximity-Labeling Techniques in Plants: A Review of Successful Cases.

Zhiyong Yang, Shixin Yang, Qingfeng Meng

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Zhiyong YangSchool of Biological Science and Technology, Jiangsu University, Zhenjiang 212013, China.
Shixin YangSchool of Biological Science and Technology, Jiangsu University, Zhenjiang 212013, China.
Qingfeng MengSchool of Biological Science and Technology, Jiangsu University, Zhenjiang 212013, China.ORCID 0000-0002-8706-065X

Funding

Jiangsu Education Department 22KJB210008National Natural Science Foundation of China 32201850
6 · The paper itself

Abstract

Exploring protein-protein interaction (PPI) networks during cellular processes is critical for understanding the molecular mechanisms underlying these processes. PL (proximity labeling) is an emerging technique with the potential to be a powerful protein interactomics tool. It employs proximity-labeling enzymes, coupled with mass spectrometry, to covalently label, capture, and identify interacting and neighboring proteins of the bait protein. The development of numerous novel PL enzymes and the improvement of biotin ligase-based enzymes have enabled efficient spatiotemporal mapping of PPIs, especially after the establishment of TurboID in plants. Most PL-associated reviews in plants focus on the potential applications of different enzyme-based PL. Here, we focus on PL cases effectively applied in plants and dissect each case in detail from the perspectives of PL expression design, labeling, extraction, enrichment, and quantitative proteomic identification. Moreover, we compare cases using biotin ligase-based PL (such as BioID and TurboID) and PUP-IT, highlighting the advantages and limitations of each PL system. We delineated the pipeline and optimization strategies for PL experiment design to facilitate successful execution by plant researchers.

Indexed as

Plant ProteinsPlantsProtein Interaction MappingProteomicsStaining and LabelingMass SpectrometryProtein Interaction MapsPlant Proteinsplant protein–protein interactionproximity labelingPUP-ITTurboID

Identifiers

PMID42653231
PMCPMC13513147

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.