Evidence map›Paper›PMID 40687811›Full record

ArticleiScience2025

Local ligand concentration gradients induced by the plasma membrane.

Ágnes Szabó, Gabriella Tóth, Tímea Szatmári, Gábor Mocsár, István Rebenku, János Szöllősi, Peter Nagy

Abstract read
In one paragraph

Article in iScience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

7 authors.

Ágnes SzabóDepartment of Biophysics and Cell Biology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
Gabriella TóthDepartment of Biophysics and Cell Biology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
Tímea SzatmáriDepartment of Biophysics and Cell Biology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
Gábor MocsárDepartment of Biophysics and Cell Biology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
István RebenkuDepartment of Biophysics and Cell Biology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
János SzöllősiDepartment of Biophysics and Cell Biology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
Peter NagyDepartment of Biophysics and Cell Biology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The plasma membrane is a dynamic structure surrounded by the extracellular matrix. Although stimulation of transmembrane proteins by soluble ligands takes place in this environment, its influence on receptor activation is usually overlooked. In the current manuscript, we quantitatively measured the concentration of epidermal growth factor (EGF) at the cell membrane and found that ligand distribution is non-homogeneous due to two concentration peaks causing significantly higher EGF concentrations at the membrane than in the bulk solution. Using experiments, calculations, and simulations, we show that the membrane-proximal peak is caused by membrane turnover, while the more distant one, only present in ErbB2-expressing cells, is generated by locally hindered diffusion possibly caused by the extracellular matrix. Both theory and experiments reveal that these phenomena increase the apparent affinity and decrease the apparent cooperativity of the receptor-ligand complex. Interpretation of the effects of soluble ligands interacting with receptors must involve this non-homogenous concentration profile.

Indexed as

biological sciencesbiophysicscomputer simulationmembranestheoretical physics

Identifiers

PMID40687811
PMCPMC12273584

What Socratic holds

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LicenceCC BY
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Registered trials

None linked

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 Socratic graph.