Evidence map›Paper›PMID 41296811›Full record

ArticlePLoS computational biology2025

Multiscale modelling shows how cell-ECM interactions impact ECM fibre alignment and cell detachment.

Juan Arellano-Tintó, Daria Stepanova, Helen M Byrne, Philip K Maini, Tomás Alarcón

Abstract read
In one paragraph

Article in PLoS computational biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

  1. Article
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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

5 authors.

Juan Arellano-TintóCentre de Recerca Matemàtica, Bellaterra (Barcelona), Spain.ORCID 0009-0002-9183-3229
Daria StepanovaCentre de Recerca Matemàtica, Bellaterra (Barcelona), Spain.ORCID 0000-0003-1771-1987
Helen M ByrneWolfson Centre for Mathematical Biology, Mathematical Institute, University of Oxford, Oxford, United Kingdom.
Philip K MainiWolfson Centre for Mathematical Biology, Mathematical Institute, University of Oxford, Oxford, United Kingdom.ORCID 0000-0002-0146-9164
Tomás AlarcónCentre de Recerca Matemàtica, Bellaterra (Barcelona), Spain.

Funding

‘Ayudas para Contratos Predoctorales para la Formación de Doctores’Spanish Research Agency (AEI)
6 · The paper itself

Abstract

The extracellular matrix (ECM) is a dynamic network structure that surrounds, supports, and influences cell behaviour. It facilitates cell communication and plays an important role in cell functions such as growth and migration. One way that cells interact with the ECM is via focal adhesions, which enable them to sense and respond to matrix mechanical properties and exert traction forces that deform it. This mechanical interplay between cells and the ECM, many aspects of which remain incompletely understood, involves the coordination of processes acting at different spatial scales and is highly influenced by the mechanical properties of the cells, ECM and focal adhesion components. To gain a better understanding of these mechanical interactions, we have developed a multiscale agent-based model based on a mechanical description of forces that simultaneously integrates the mechanosensitive regulation of focal adhesions, cytoskeleton dynamics, and ECM deformation. We use our model to quantify cell-cell communication mediated by ECM deformation and to show how this process depends on the mechanical properties of cells, the ECM fibres and the topology of the ECM network. In particular, we analyse the influence of ECM stiffness and cell contraction activity in the transmission of mechanical cues between cells and how the distinct timescales associated with different processes influence cell-ECM interaction. Our model simulations predict increased ECM deformation for stronger cell contraction and a sweet spot of ECM stiffness for the transmission of mechanical cues along its fibres. We also show how the network topology affects the ability of stiffer ECMs to transmit deformation and how it can induce cell detachment from the ECM. Finally, we demonstrate that integrating processes across different spatial and temporal scales is crucial for understanding how mechanical communication influences cell behaviour.

Indexed as

Cell AdhesionCell CommunicationExtracellular MatrixModels, BiologicalAnimalsBiomechanical PhenomenaComputational BiologyComputer SimulationCytoskeletonFocal AdhesionsHumansMechanotransduction, Cellular

Identifiers

PMID41296811
PMCPMC12680367

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Read underepoch 390

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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.