Evidence map›Paper›PMID 39775998›Full record

ArticleBulletin of mathematical biology2025

Mechanical Cell Interactions on Curved Interfaces.

Pascal R Buenzli, Shahak Kuba, Ryan J Murphy, Matthew J Simpson

Abstract read
In one paragraph

Article in Bulletin of mathematical biology, 2025. 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.

Pascal R BuenzliSchool of Mathematical Sciences, Queensland University of Technology (QUT), Brisbane, Australia. pascal.buenzli@qut.edu.au.ORCID http://orcid.org/0000-0003-3962-5393
Shahak KubaSchool of Mathematical Sciences, Queensland University of Technology (QUT), Brisbane, Australia.
Ryan J MurphySchool of Mathematics and Statistics, The University of Melbourne, Parkville, Australia.ORCID http://orcid.org/0000-0002-9844-6734
Matthew J SimpsonSchool of Mathematical Sciences, Queensland University of Technology (QUT), Brisbane, Australia.ORCID http://orcid.org/0000-0001-6254-313X

Funding

Australian Research Council DP190102545Australian Research Council DP230100025
6 · The paper itself

Abstract

We propose a simple mathematical model to describe the mechanical relaxation of cells within a curved epithelial tissue layer represented by an arbitrary curve in two-dimensional space. This model generalises previous one-dimensional models of flat epithelia to investigate the influence of curvature for mechanical relaxation. We represent the mechanics of a cell body either by straight springs, or by curved springs that follow the curve's shape. To understand the collective dynamics of the cells, we devise an appropriate continuum limit in which the number of cells and the length of the substrate are constant but the number of springs tends to infinity. In this limit, cell density is governed by a diffusion equation in arc length coordinates, where diffusion may be linear or nonlinear depending on the choice of the spring restoring force law. Our results have important implications about modelling cells on curved geometries: (i) curved and straight springs can lead to different dynamics when there is a finite number of springs, but they both converge quadratically to the dynamics governed by the diffusion equation; (ii) in the continuum limit, the curvature of the tissue does not affect the mechanical relaxation of cells within the layer nor their tangential stress; (iii) a cell's normal stress depends on curvature due to surface tension induced by the tangential forces. Normal stress enables cells to sense substrate curvature at length scales much larger than their cell body, and could induce curvature dependences in experiments.

Indexed as

Cell CommunicationEpithelial CellsMathematical ConceptsModels, BiologicalAnimalsBiomechanical PhenomenaCell ShapeComputer SimulationEpitheliumHumansStress, MechanicalCoarse-grainingDiffusionMathematical modelMechanobiologySurface tensionTissue growthTissue mechanics

Identifiers

PMID39775998
PMCPMC11706888

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Registered trials

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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.