Evidence map›Paper›PMID 41950296›Full record

ArticlePLoS computational biology2026

A biophysical model of phagocytic cup dynamics: The effect of membrane tension.

Peyman Shadmani, Behzad Mehrafrooz, Abbas Montazeri, David M Richards

Abstract read
In one paragraph

Article in PLoS computational biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Peyman ShadmaniLiving Systems Institute, University of Exeter, Exeter, United Kingdom.ORCID https://orcid.org/0000-0003-2038-3611
Behzad MehrafroozCenter for Computation & Theory of Soft Materials, Northwestern University, Evanston, Illinois, United States of America.ORCID https://orcid.org/0000-0002-3788-8918
Abbas MontazeriFaculty of Materials Science and Engineering, K. N. Toosi University of Technology, Tehran, Iran.ORCID https://orcid.org/0000-0003-4356-7800
David M RichardsLiving Systems Institute, University of Exeter, Exeter, United Kingdom.ORCID https://orcid.org/0000-0001-6255-8761

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Phagocytosis is a fundamental cellular process by which cells engulf external particles, controlled by receptor-ligand binding and actin-driven membrane dynamics. While a number of mathematical models have been developed to describe this process, they often overlook membrane tension, a key physical parameter known to influence membrane deformation and cytoskeletal behaviour. To address this gap, we present an enhanced mathematical model of receptor motion during phagocytosis that explicitly incorporates the role of membrane tension. Further, we introduce a signalling component that is coupled to receptor dynamics via the membrane tension. We find that including tension results in fundamentally different engulfment behaviour, which is slower than that predicted by models without tension. In particular, unlike in the previous version of this model, we show that tension can lead to stalled engulfment, an experimentally-observed phenomenon known as frustrated phagocytosis. We also find that signalling is able to modify engulfment behaviour, especially at later stages, and is able to alter cup growth to become linear in time without the need for receptor drift as introduced in previous models. These findings offer new insights into the role of membrane tension and biophysical regulation in phagocytosis, with implications for immune function, cell motility and targeted drug delivery.

Indexed as

Cell MembraneModels, BiologicalPhagocytosisAnimalsSignal Transduction

Identifiers

PMID41950296
PMCPMC13061334

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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.