Evidence map›Paper›PMID 39833163›Full record

ArticleNature communications2025

Pupylation-based proximity labeling reveals regulatory factors in cellulose biosynthesis in Arabidopsis.

Shuai Zheng, Lise C Noack, Ouda Khammy, Andreas De Meyer, Ghazanfar Abbas Khan, Nancy De Winne, Dominique Eeckhout, Daniël Van Damme, Staffan Persson

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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  7. A plant-specific cytochromeScience advances · 2025
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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

9 authors.

Shuai ZhengCopenhagen Plant Science Center, Department of Plant & Environmental Sciences, University of Copenhagen, Frederiksberg C, Denmark.ORCID http://orcid.org/0000-0001-8149-8178
Lise C NoackCopenhagen Plant Science Center, Department of Plant & Environmental Sciences, University of Copenhagen, Frederiksberg C, Denmark.
Ouda KhammyCopenhagen Plant Science Center, Department of Plant & Environmental Sciences, University of Copenhagen, Frederiksberg C, Denmark.
Andreas De MeyerDepartment of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium.
Ghazanfar Abbas KhanSchool of Life and Environmental Sciences & Centre for Sustainable Bioproducts, Deakin University, Waurn Ponds, VIC, Australia.
Nancy De WinneDepartment of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium.
Dominique EeckhoutDepartment of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium.
Daniël Van DammeDepartment of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium.
Staffan PerssonCopenhagen Plant Science Center, Department of Plant & Environmental Sciences, University of Copenhagen, Frederiksberg C, Denmark. Staffan.persson@plen.ku.dk.ORCID http://orcid.org/0000-0002-6377-5132

Funding

Novo Nordisk Fonden (Novo Nordisk Foundation) 19OC0056076Novo Nordisk Fonden (Novo Nordisk Foundation) 20OC0060564Novo Nordisk Fonden (Novo Nordisk Foundation) 23OC0086341Villum Fonden (Villum Foundation) 25915
6 · The paper itself

Abstract

Knowledge about how and where proteins interact provides a pillar for cell biology. Protein proximity-labeling has emerged as an important tool to detect protein interactions. Biotin-related proximity labeling approaches are by far the most commonly used but may have labeling-related drawbacks. Here, we use pupylation-based proximity labeling (PUP-IT) as a tool for protein interaction detection in plants. We show that PUP-IT readily confirmed protein interactions for several known protein complexes across different types of plant hosts and that the approach increased detection of specific interactions as compared to biotin-based proximity labeling systems. To further demonstrate the power of PUP-IT, we used the system to identify protein interactions of the protein complex that underpin cellulose synthesis in plants. Apart from known complex components, we identified the ARF-GEF BEN1 (BFA-VISUALIZED ENDOCYTIC TRAFFICKING DEFECTIVE1). We show that BEN1 contributes to cellulose synthesis by regulating both clathrin-dependent and -independent endocytosis of the cellulose synthesis protein complex from the plasma membrane. Our results highlight PUP-IT as a powerful proximity labeling system to identify protein interactions in plant cells.

Indexed as

ArabidopsisArabidopsis ProteinsCelluloseStaining and LabelingBiotinCell MembraneEndocytosisGlucosyltransferasesProtein Interaction MappingArabidopsis ProteinsAt5g05170 protein, ArabidopsisBiotinCelluloseGlucosyltransferases

Identifiers

PMID39833163
PMCPMC11747095

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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.