| Literature DB >> 32843435 |
Deepanksha Arora1,2, Nikolaj B Abel3, Chen Liu4, Petra Van Damme1,2,5, Klaas Yperman1,2, Dominique Eeckhout1,2, Lam Dai Vu1,2, Jie Wang1,2, Anna Tornkvist4, Francis Impens6,7,8, Barbara Korbei9, Jelle Van Leene1,2, Alain Goossens1,2, Geert De Jaeger10,2, Thomas Ott11,12, Panagiotis Nikolaou Moschou13,14,15, Daniël Van Damme10,2.
Abstract
Proximity labeling is a powerful approach for detecting protein-protein interactions. Most proximity labeling techniques use a promiscuous biotin ligase or a peroxidase fused to a protein of interest, enabling the covalent biotin labeling of proteins and subsequent capture and identification of interacting and neighboring proteins without the need for the protein complex to remain intact. To date, only a few studies have reported on the use of proximity labeling in plants. Here, we present the results of a systematic study applying a variety of biotin-based proximity labeling approaches in several plant systems using various conditions and bait proteins. We show that TurboID is the most promiscuous variant in several plant model systems and establish protocols that combine mass spectrometry-based analysis with harsh extraction and washing conditions. We demonstrate the applicability of TurboID in capturing membrane-associated protein interactomes using Lotus japonicus symbiotically active receptor kinases as a test case. We further benchmark the efficiency of various promiscuous biotin ligases in comparison with one-step affinity purification approaches. We identified both known and novel interactors of the endocytic TPLATE complex. We furthermore present a straightforward strategy to identify both nonbiotinylated and biotinylated peptides in a single experimental setup. Finally, we provide initial evidence that our approach has the potential to suggest structural information of protein complexes.Entities:
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Year: 2020 PMID: 32843435 PMCID: PMC7610282 DOI: 10.1105/tpc.20.00235
Source DB: PubMed Journal: Plant Cell ISSN: 1040-4651 Impact factor: 11.277