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Systematic identification of structure-specific protein–protein interactions

Abstract

The physical interactome of a protein can be altered upon perturbation, modulating cell physiology and contributing to disease. Identifying interactome differences of normal and disease states of proteins could help understand disease mechanisms, but current methods do not pinpoint structure-specific PPIs and interaction interfaces proteome-wide. We used limited proteolysis–mass spectrometry (LiP–MS) to screen for structure-specific PPIs by probing for protease susceptibility changes of proteins in cellular extracts upon treatment with specific structural states of a protein. We first demonstrated that LiP–MS detects well-characterized PPIs, including antibody–target protein interactions and interactions with membrane proteins, and that it pinpoints interfaces, including epitopes. We then applied the approach to study conformation-specific interactors of the Parkinson’s disease hallmark protein alpha-synuclein (aSyn). We identified known interactors of aSyn monomer and amyloid fibrils and provide a resource of novel putative conformation-specific aSyn interactors for validation in further studies. We also used our approach on GDP- and GTP-bound forms of two Rab GTPases, showing detection of differential candidate interactors of conformationally similar proteins. This approach is applicable to screen for structure-specific interactomes of any protein, including posttranslationally modified and unmodified, or metabolite-bound and unbound protein states.

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:04 Faculty of Medicine > Institute of Medical Genetics
07 Faculty of Science > Institute of Molecular Life Sciences
08 Research Priority Programs > Adaptive Brain Circuits in Development and Learning (AdaBD)
Dewey Decimal Classification:570 Life sciences; biology
610 Medicine & health
Scopus Subject Areas:Physical Sciences > Information Systems
Life Sciences > General Biochemistry, Genetics and Molecular Biology
Life Sciences > General Immunology and Microbiology
Life Sciences > General Agricultural and Biological Sciences
Physical Sciences > Computational Theory and Mathematics
Physical Sciences > Applied Mathematics
Uncontrolled Keywords:Limited Proteolysis, Mass Spectrometry, Structural Proteomics, Protein–protein Interactions, Structure-Specific Interactions, Proteomics
Language:English
Date:3 May 2024
Deposited On:09 May 2024 10:56
Last Modified:31 Dec 2024 02:37
Publisher:European Molecular Biology Organization
ISSN:1744-4292
Additional Information:The mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium via the PRIDE partner repository (Perez-Riverol et al, 2022). They are available at PXD039481, PXD039520, PXD039784, and PXD048849. The custom R scripts developed and used in this study are available via GitHub at https://gitfront.io/r/PicottiGroup/FeTezEanyUFM/LiP-MS-protein-protein-interactions-lip-data-structural-analysis-protein-protein-interactions/.
OA Status:Gold
Free access at:Publisher DOI. An embargo period may apply.
Publisher DOI:https://doi.org/10.1038/s44320-024-00037-6
Related URLs:https://api.semanticscholar.org/CorpusID:256617477 (Library Catalogue)
PubMed ID:38702390
Other Identification Number:Corpus ID: 256617477
Project Information:
  • Funder: H2020
  • Grant ID: 866004
  • Project Title: Three-dimensional dynamic views of proteomes as a novel readout for physiological and pathological alterations
  • Funder: H2020
  • Grant ID: 823839
  • Project Title: European Proteomics Infrastructure Consortium providing Access
  • Funder: Parkinson Schweiz
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  • Funder: SNSF
  • Grant ID: 184951
  • Project Title: Structure and function of the adenylyl cyclase-containing signal transduction complexes
  • Funder: Empiris Foundation
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  • Funder: Oxford-McGill-Zurich Partnership in Neuroscience
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  • Funder: University of Zurich (UZH)
  • Grant ID: URPP AdaBD
  • Project Title: University Research Priority Program AdaBD: Adaptive Brain Circuits in Development and Learning, Zurich, Switzerland
  • : Project Websitehttps://www.adabd.uzh.ch/en.html
  • Funder: Helmut Horten Stiftung
  • Grant ID:
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  • Funder: ETH Zürich Foundation
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  • Content: Published Version
  • Language: English
  • Licence: Creative Commons: Attribution 4.0 International (CC BY 4.0)
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