Abstract
Identification of protein–protein interactions (PPIs) and protein kinase substrates is fundamental for understanding how proteins exert biological functions with their partners and targets. However, it is still technically challenging, especially for transient and weak interactions involved in most cellular processes. The proximity-tagging systems enable capturing snapshots of both stable and transient PPIs. In this chapter, we describe in detail the methodology of a novel proximity-based labeling approach, PUP-IT (pupylation-based interaction tagging), to identify PPIs using a protoplast transient expression system. We have successfully identified potential kinase substrates by targeted screening and tandem mass spectrometry analysis.
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References
Wang S, Osgood AO, Chatterjee A (2022) Uncovering post-translational modification-associated protein-protein interactions. Curr Opin Struct Biol 74:102352. https://doi.org/10.1016/j.sbi.2022.102352
De Las RJ, Fontanillo C (2010) Protein-protein interactions essentials: key concepts to building and analyzing interactome networks. PLoS Comput Biol 6(6):e1000807. https://doi.org/10.1371/journal.pcbi.1000807
Elhabashy H, Merino F, Alva V et al (2022) Exploring protein-protein interactions at the proteome level. Structure 30(4):462–475. https://doi.org/10.1016/j.str.2022.02.004
Lin CPJ, Vela S et al (2021) Spatial and single-cell proteomics workshop report. J Proteomics Bioinformatics 14:553
Zhang T, Chen S, Harmon AC (2016) Protein-protein interactions in plant mitogen-activated protein kinase cascades. J Exp Bot 67(3):607–618. https://doi.org/10.1093/jxb/erv508
Motani K, Kosako H (2020) BioID screening of biotinylation sites using the avidin-like protein Tamavidin 2-REV identifies global interactors of stimulator of interferon genes (STING). J Biol Chem 295(32):11174–11183. https://doi.org/10.1074/jbc.RA120.014323
Cho KF, Branon TC, Udeshi ND et al (2020) Proximity labeling in mammalian cells with TurboID and split-TurboID. Nat Protoc 15(12):3971–3999. https://doi.org/10.1038/s41596-020-0399-0
Udeshi ND, Pedram K, Svinkina T et al (2017) Antibodies to biotin enable large-scale detection of biotinylation sites on proteins. Nat Methods 14(12):1167–1170. https://doi.org/10.1038/nmeth.4465
Hung V, Lam SS, Udeshi ND et al (2017) Proteomic mapping of cytosol-facing outer mitochondrial and ER membranes in living human cells by proximity biotinylation. elife 6. https://doi.org/10.7554/eLife.24463
Arora D, Abel NB, Liu C et al (2020) Establishment of proximity-dependent Biotinylation approaches in different plant model systems. Plant Cell 32(11):3388–3407. https://doi.org/10.1105/tpc.20.00235
Mair A, Xu SL, Branon TC et al (2019) Proximity labeling of protein complexes and cell-type-specific organellar proteomes in Arabidopsis enabled by TurboID. elife 8. https://doi.org/10.7554/eLife.47864
Hiraga S, Sasaki K, Ito H et al (2001) A large family of class III plant peroxidases. Plant Cell Physiol 42(5):462–468. https://doi.org/10.1093/pcp/pce061
Liu Q, Zheng J, Sun W et al (2018) A proximity-tagging system to identify membrane protein-protein interactions. Nat Methods 15(9):715–722. https://doi.org/10.1038/s41592-018-0100-5
Yang X, Wen Z, Zhang D et al (2021) Proximity labeling: an emerging tool for probing in planta molecular interactions. Plant Commun 2(2):100137. https://doi.org/10.1016/j.xplc.2020.100137
Yoo SD, Cho YH, Sheen J (2007) Arabidopsis mesophyll protoplasts: a versatile cell system for transient gene expression analysis. Nat Protoc 2(7):1565–1572. https://doi.org/10.1038/nprot.2007.199
Niu Y, Sheen J (2012) Transient expression assays for quantifying signaling output. Methods Mol Biol 876:195–206. https://doi.org/10.1007/978-1-61779-809-2_16
Sheen J (2001) Signal transduction in maize and Arabidopsis mesophyll protoplasts. Plant Physiol 127(4):1466–1475
Ye R, Wang M, Du H et al (2022) Glucose-driven TOR-FIE-PRC2 signalling controls plant development. Nature 609(7929):986-993. https://doi.org/10.1038/s41586-022-05171-5
Jiang W, Bush J, Sheen J (2021) A versatile and efficient plant protoplast platform for genome editing by Cas9 RNPs. Front Genome Ed 3:719190. https://doi.org/10.3389/fgeed.2021.719190
Perron N, Tan B, Dufresne CP et al (2023) Proteomics and phosphoproteomics of C3 to CAM transition in the common ice plant. Methods Enzymol. https://doi.org/10.1016/bs.mie.2022.06.004
Acknowledgments
We thank former and current members of the Sheen Laboratory for their efforts in improving the Arabidopsis mesophyll protoplasts transient expression system. We thank Jenifer Bush for plant management. This work was supported by the NIH grants GM060493 and GM129093 to J.S. and R.Q.Y., National Natural Science Foundation of China grants 32170270 and 31870227 to K.-H. L., and USDA 2020-67013-31615/accession no. 1022409 grant to S.C. (co-PI) and Ping He (PI).
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Ye, R., Lin, Z., Liu, KH., Sheen, J., Chen, S. (2023). Dynamic Proximity Tagging in Living Plant Cells with Pupylation-Based Interaction Tagging. In: Mukhtar, S. (eds) Protein-Protein Interactions. Methods in Molecular Biology, vol 2690. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-3327-4_14
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DOI: https://doi.org/10.1007/978-1-0716-3327-4_14
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