Evidence map›Paper›PMID 38845200›Full record

ArticleBiophysical journal2024

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

Chao Yu, Maximilian Richly, Thi Thuy Hoang, Mohammed El Beheiry, Silvan Türkcan, Jean-Baptiste Masson, Antigoni Alexandrou, Cedric I Bouzigues

Abstract read
In one paragraph

Article in Biophysical journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Chao YuLaboratoire Optique et Biosciences, CNRS UMR74645, Inserm U1182, Ecole Polytechnique, Institut Polytechnique Paris, Palaiseau, France.
Maximilian RichlyLaboratoire Optique et Biosciences, CNRS UMR74645, Inserm U1182, Ecole Polytechnique, Institut Polytechnique Paris, Palaiseau, France.
Thi Thuy HoangLaboratoire Optique et Biosciences, CNRS UMR74645, Inserm U1182, Ecole Polytechnique, Institut Polytechnique Paris, Palaiseau, France.
Mohammed El BeheiryInstitut Pasteur, Université Paris Cité, CNRS UMR 3571, Decision and Bayesian Computation, Paris, France; Épiméthée, INRIA, Paris, France.
Silvan TürkcanLaboratoire Optique et Biosciences, CNRS UMR74645, Inserm U1182, Ecole Polytechnique, Institut Polytechnique Paris, Palaiseau, France.
Jean-Baptiste MassonInstitut Pasteur, Université Paris Cité, CNRS UMR 3571, Decision and Bayesian Computation, Paris, France; Épiméthée, INRIA, Paris, France.
Antigoni AlexandrouLaboratoire Optique et Biosciences, CNRS UMR74645, Inserm U1182, Ecole Polytechnique, Institut Polytechnique Paris, Palaiseau, France.
Cedric I BouziguesLaboratoire Optique et Biosciences, CNRS UMR74645, Inserm U1182, Ecole Polytechnique, Institut Polytechnique Paris, Palaiseau, France. Electronic address: cedric.bouzigues@polytechnique.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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, although 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 acting on single-nanoparticle-labeled membrane receptors confined in raft nanodomains- epidermal growth factor receptor (EGFR), Clostridium perfringens ε-toxin receptor (CPεTR), and Clostridium septicum α-toxin receptor (CSαTR)-and compared it with hop-diffusing transferrin receptors. 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: confinement in a quadratic energy landscape for EGFR, CPεTR, and CSαTR (A), and free diffusion in confinement domains resulting from the steric hindrance due to F-actin barriers for transferrin receptor (B). 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.

Indexed as

Membrane MicrodomainsBayes TheoremDiffusionErbB ReceptorsReceptors, TransferrinThermodynamicsErbB ReceptorsReceptors, Transferrin

Identifiers

PMID38845200
PMCPMC11267427

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.