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Pupylation-based proximity labeling reveals regulatory factors in cellulose biosynthesis in Arabidopsis
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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.
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![Fig. 1 PUP-IT identifies protein interactors of RACK1 and TPLATE in plant cells. a Schematic of the PUP-IT proximity labeling approach [Created in BioRender. Persson, S. (2025) https://BioRender.com/z33f531]. FLAG-Pup(E) is attached to Prey protein mediated by PafA fused to a bait protein. b Vectors designed to express the FLAG-Pup(E) and PafA fused to GFP/AtRACK1a/NbRACK1, with cassettes for PafA and Pup(E) expressions present in one binary vector. c Venn diagram generated from enriched proteins of transiently expressed AtRACK1a and NbRACK1 as PafA-baits in N. benthamiana compared to PafA-GFP, respectively. d Molecular function enrichment of proteins in the overlap of (c). e A PPI network of putative RACK1 interactors that is also supported by interactions from the String database (https://string-db.org/). Nodes indicate proteins and edges indicate interactions, with line thickness indicating the strength of data support. f Vectors designed to express STREPII-FLAG-Pup(E) under a Dexamethasone (DEX)-inducible promoter, combined with constitutive expression of PafA fused to TPLATE. g iBAQ, a measure for the abundance of TPLATE subunits. iBAQ of TPLATE subunits were normalized to the bait, TPLATE, for the different experiments (as indicated below).](/paper-figures/ad476a5c04e0489780e1649ada7b6d7f/pupylation-based-proximity-labeling-reveals-regulatory-factors-in-cellulose-figure-1.jpg)


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Highly accurate protein structure prediction with AlphaFold
Jumper, J., Evans, R., Pritzel, A., Green, T., Figurnov, M., Ronneberger, O., Tunyasuvunakool, K., Bates, R., Žídek, A., Potapenko, A., et al. (2021) · Nature · doi:10.1038/s41586-021-03819-2 · Cited by 43,764
Global quantification of mammalian gene expression control
Schwanhäusser, B., Busse, D., Li, N., Dittmar, G., Schuchhardt, J., Wolf, J., Chen, W., & Selbach, M. (2011) · Nature · doi:10.1038/nature10098 · Cited by 6,566 · cited 1×
“To do this, we undertook intensity-based absolute quanti fi cation (iBAQ) 14 of TPLATE subunits normalized to TPLATE as measure of enrichment of the subunits for each of the different experiments.”
The MaxQuant computational platform for mass spectrometry-based shotgun proteomics
Tyanova, S., Temu, T., & Cox, J. (2016) · Nature Protocols · doi:10.1038/nprot.2016.136 · Cited by 4,797
A Gateway Cloning Vector Set for High-Throughput Functional Analysis of Genes in Planta
Curtis, M. D., & Grossniklaus, U. (2003) · Plant Physiology · doi:10.1104/pp.103.027979 · Cited by 2,644
Semimicro determination of cellulose inbiological materials
Updegraff, D. M. (1969) · Analytical Biochemistry · doi:10.1016/s0003-2697(69)80009-6 · Cited by 2,081
Bechtold, N., & Pelletier, G. (1998) · Arabidopsis Protocols · doi:10.1385/0-89603-391-0:259 · Cited by 1,018
Meier, F., Brunner, A.-D., Koch, S., Koch, H., Lubeck, M., Krause, M., Goedecke, N., Decker, J., Kosinski, T., Park, M. A., et al. (2018) · Molecular & Cellular Proteomics · doi:10.1074/mcp.tir118.000900 · Cited by 965
GreenGate - A Novel, Versatile, and Efficient Cloning System for Plant Transgenesis
Lampropoulos, A., Sutikovic, Z., Wenzl, C., Maegele, I., Lohmann, J. U., & Forner, J. (2013) · PLoS ONE · doi:10.1371/journal.pone.0083043 · Cited by 612
Persson, S., Wei, H., Milne, J., Page, G. P., & Somerville, C. R. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0503392102 · Cited by 595
Self-citationA Bacterial Virulence Protein Suppresses Host Innate Immunity to Cause Plant Disease
Nomura, K., DebRoy, S., Lee, Y. H., Pumplin, N., Jones, J., & He, S. Y. (2006) · Science · doi:10.1126/science.1129523 · Cited by 494
Metadata
- Authors
- Zheng, S., Noack, L. C., Khammy, O., De Meyer, A., Khan, G. A., De Winne, N., Eeckhout, D., Van Damme, D., & Persson, S.
- Affiliations
- University of Copenhagen (DK)
- Deakin University (AU)
- Ghent University (BE)
- Corresponding author
- Persson, Staffan
- Venue
- Nature Communications
- Published
- 2025-01-20
- Volume
- 16
- Issue
- 1
- Pages
- 872-872
- ISSN
- 2041-1723 (ISSN-L)
- PMC
- PMC11747095
- OpenAlex
- W4406609724
- Cited by
- 18
- References
- 55
- Citations by year
- 2026: 12 · 2025: 6
- FWCI
- 8.99
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by-nc-nd
- creativecommons.org/licenses/by-nc-nd/4.0 (tdm)
- creativecommons.org/licenses/by-nc-nd/4.0 (vor)
- Locations
- Nature Communications (publishedVersion, cc-by-nc-nd)
- Research Square (acceptedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Research at the University of Copenhagen (University of Copenhagen) (publishedVersion, cc-by-nc-nd)
- Ghent University Academic Bibliography (Ghent University) (submittedVersion, cc-by-nc-nd)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Figshare (submittedVersion, cc-by-nc-nd)
- Funders
- Novo Nordisk Fonden (19OC0056076, 20OC0060564, 23OC0086341)
- Villum Fonden (25915)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › Biotin and Related Studies
- Life Sciences › Agricultural and Biological Sciences › Plant Science › Polysaccharides and Plant Cell Walls
- Life Sciences › Agricultural and Biological Sciences › Plant Science › Plant Molecular Biology Research
- Keywords
- protein-protein interaction, cellulose biosynthesis, Arabidopsis thaliana, ARF-GEF, clathrin-mediated endocytosis, clathrin-independent endocytosis, plasma membrane, plant cell wall, protein complexes
- MeSH terms
- Biotin, Cell Membrane, Cellulose, Clathrin, Endocytosis, Glucosyltransferases, Staining and Labeling, Arabidopsis, Protein Interaction Mapping, Arabidopsis Proteins
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- Zheng, S., Noack, L. C., Khammy, O., De Meyer, A., Khan, G. A., De Winne, N., Eeckhout, D., Van Damme, D., & Persson, S. (2025). Pupylation-based proximity labeling reveals regulatory factors in cellulose biosynthesis in Arabidopsis. Nature Communications. https://doi.org/10.1038/s41467-025-56192-3
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