Unfolding and identification of membrane proteins in situ.

atomic force microscopy molecular biophysics protein identification rat single-molecule force spectroscopy structural biology

Journal

eLife
ISSN: 2050-084X
Titre abrégé: Elife
Pays: England
ID NLM: 101579614

Informations de publication

Date de publication:
12 09 2022
Historique:
received: 28 01 2022
accepted: 08 09 2022
pubmed: 13 9 2022
medline: 7 10 2022
entrez: 12 9 2022
Statut: epublish

Résumé

Single-molecule force spectroscopy (SMFS) uses the cantilever tip of an atomic force microscopy (AFM) to apply a force able to unfold a single protein. The obtained force-distance curve encodes the unfolding pathway, and from its analysis it is possible to characterize the folded domains. SMFS has been mostly used to study the unfolding of purified proteins, in solution or reconstituted in a lipid bilayer. Here, we describe a pipeline for analyzing membrane proteins based on SMFS, which involves the isolation of the plasma membrane of single cells and the harvesting of force-distance curves directly from it. We characterized and identified the embedded membrane proteins combining, within a Bayesian framework, the information of the shape of the obtained curves, with the information from mass spectrometry and proteomic databases. The pipeline was tested with purified/reconstituted proteins and applied to five cell types where we classified the unfolding of their most abundant membrane proteins. We validated our pipeline by overexpressing four constructs, and this allowed us to gather structural insights of the identified proteins, revealing variable elements in the loop regions. Our results set the basis for the investigation of the unfolding of membrane proteins in situ, and for performing proteomics from a membrane fragment.

Identifiants

pubmed: 36094473
doi: 10.7554/eLife.77427
pii: 77427
pmc: PMC9531951
doi:
pii:

Substances chimiques

Lipid Bilayers 0
Membrane Proteins 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2022, Galvanetto, Ye et al.

Déclaration de conflit d'intérêts

NG, ZY, AM, SM, SM, AL, VT No competing interests declared

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Auteurs

Nicola Galvanetto (N)

International School for Advanced Studies, Trieste, Italy.

Zhongjie Ye (Z)

International School for Advanced Studies, Trieste, Italy.

Arin Marchesi (A)

Nano Life Science Institute, Kanazawa Medical University, Kanazawa, Japan.
Department of Experimental and Clinical Medicine, Università Politecnica delle Marche, Ancona, Italy.

Simone Mortal (S)

International School for Advanced Studies, Trieste, Italy.

Sourav Maity (S)

International School for Advanced Studies, Trieste, Italy.
Moleculaire Biofysica, Zernike Instituut, Rijksuniversiteit Groningen, University of Groningen, Groningen, Netherlands.

Alessandro Laio (A)

International School for Advanced Studies, Trieste, Italy.
The Abdus Salam International Centre for Theoretical Physics, Trieste, Italy.

Vincent Torre (V)

International School for Advanced Studies, Trieste, Italy.
Institute of Materials (IOM-CNR), Area Science Park, Trieste, Italy.
BioValley Systems & Solutions, Trieste, Italy.

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