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Systematic identification of structure-specific protein–protein interactions

Authors :
Aleš Holfeld
Dina Schuster
Fabian Sesterhenn
Alison K Gillingham
Patrick Stalder
Walther Haenseler
Inigo Barrio-Hernandez
Dhiman Ghosh
Jane Vowles
Sally A Cowley
Luise Nagel
Basavraj Khanppnavar
Tetiana Serdiuk
Pedro Beltrao
Volodymyr M Korkhov
Sean Munro
Roland Riek
Natalie de Souza
Paola Picotti
Source :
Molecular Systems Biology, Vol 20, Iss 6, Pp 651-675 (2024)
Publication Year :
2024
Publisher :
Springer Nature, 2024.

Abstract

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.

Details

Language :
English
ISSN :
17444292
Volume :
20
Issue :
6
Database :
Directory of Open Access Journals
Journal :
Molecular Systems Biology
Publication Type :
Academic Journal
Accession number :
edsdoj.111e459619b140979ac5a006ab8a5025
Document Type :
article
Full Text :
https://doi.org/10.1038/s44320-024-00037-6