Confinement energy landscape classification reveals membrane receptor nano-organization mechanisms.


Journal

Biophysical journal
ISSN: 1542-0086
Titre abrégé: Biophys J
Pays: United States
ID NLM: 0370626

Informations de publication

Date de publication:
06 Jun 2024
Historique:
received: 18 09 2023
revised: 01 03 2024
accepted: 03 06 2024
medline: 7 6 2024
pubmed: 7 6 2024
entrez: 7 6 2024
Statut: aheadofprint

Résumé

The cell membrane organization has an essential functional role through the control of membrane receptor confinement in micro- or nanodomains. Several mechanisms have been proposed to account for these properties, though some features have remained controversial, notably the nature, size, and stability of cholesterol- and sphingolipid-rich domains- or lipid rafts. Here, we probed the effective energy landscape actin on single nanoparticle-labeled membrane receptors confined in raft nanodomains - Epidermal Growth Factor, C. perfringens ε-toxin and C. Septicum α-toxin receptors (EGFR , CPεTR and CSαTR,) - and compared it with hop-diffusing transferrin receptors (TfR). By establishing a new analysis pipeline combining Bayesian inference, decision trees and clustering approaches, we systematically classified single protein trajectories according to the type of effective confining energy landscape. This revealed the existence of only two distinct organization modalities: (A) confinement in a quadratic energy landscape for EGF, CPεT and CSαT receptors and (B) free diffusion in confinement domains resulting from the steric hindrance due to F-actin barriers for TfR. The further characterization of effective confinement energy landscapes by Bayesian inference revealed the role of interactions with the domain environment in cholesterol- and sphingolipid-rich domains with (EGFR) or without (CPεTR and CSαTR) interactions with F-actin, to regulate the confinement energy depth. These two distinct mechanisms result in the same organization type (A). We revealed that the apparent domain sizes for these receptor trajectories resulted from Brownian exploration of the energy landscape in a steady-state like regime at a common effective temperature, independently of the underlying molecular mechanisms. These results highlight that confinement domains may be adequately described as interaction hotspots rather than rafts with abrupt domain boundaries. Altogether, these results support a new model for functional receptor confinement in membrane nanodomains and pave the way to the constitution of an atlas of membrane protein organization.

Identifiants

pubmed: 38845200
pii: S0006-3495(24)00384-9
doi: 10.1016/j.bpj.2024.06.001
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024 Biophysical Society. Published by Elsevier Inc. All rights reserved.

Auteurs

Chao Yu (C)

Laboratoire Optique et Biosciences, CNRS UMR74645, Inserm U1182, Ecole Polytechnique, Institut Polytechnique Paris, Palaiseau, France.

Maximilian Richly (M)

Laboratoire Optique et Biosciences, CNRS UMR74645, Inserm U1182, Ecole Polytechnique, Institut Polytechnique Paris, Palaiseau, France.

Thi Thuy Hoang (TT)

Laboratoire Optique et Biosciences, CNRS UMR74645, Inserm U1182, Ecole Polytechnique, Institut Polytechnique Paris, Palaiseau, France.

Mohammed El Beheiry (M)

Decision and Bayesian Computation, Computational & Neuroscience departments, CNRS UMR 3751, Institut Pasteur, Université Paris Cité, Paris, France.

Silvan Türkcan (S)

Laboratoire Optique et Biosciences, CNRS UMR74645, Inserm U1182, Ecole Polytechnique, Institut Polytechnique Paris, Palaiseau, France.

Jean-Baptiste Masson (JB)

Decision and Bayesian Computation, Computational & Neuroscience departments, CNRS UMR 3751, Institut Pasteur, Université Paris Cité, Paris, France.

Antigoni Alexandrou (A)

Laboratoire Optique et Biosciences, CNRS UMR74645, Inserm U1182, Ecole Polytechnique, Institut Polytechnique Paris, Palaiseau, France.

Cedric I Bouzigues (CI)

Laboratoire Optique et Biosciences, CNRS UMR74645, Inserm U1182, Ecole Polytechnique, Institut Polytechnique Paris, Palaiseau, France.

Classifications MeSH