Evidence map›Paper›PMID 30576691›Full record

ArticleJournal of theoretical biology2019

A free boundary model of epithelial dynamics.

Ruth E Baker, Andrew Parker, Matthew J Simpson

Abstract read
In one paragraph

Article in Journal of theoretical biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Mechanical Cell Interactions on Curved Interfaces.Bulletin of mathematical biology · 2025
    Article
  3. A free boundary mechanobiological model of epithelial tissues.Proceedings. Mathematical, physical, and engineering sciences · 2020
    Article
  4. From a discrete model of chemotaxis with volume-filling to a generalized Patlak-Keller-Segel model.Proceedings. Mathematical, physical, and engineering sciences · 2020
    Article
  5. Article
  6. Article
  7. Article
  8. Reversible signal transmission in an active mechanical metamaterial.Proceedings. Mathematical, physical, and engineering sciences · 2019
    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

3 authors.

Ruth E BakerMathematical Institute, University of Oxford, Oxford, UK. Electronic address: ruth.baker@maths.ox.ac.uk.
Andrew ParkerMathematical Institute, University of Oxford, Oxford, UK.
Matthew J SimpsonSchool of Mathematical Sciences, Queensland University of Technology, Brisbane, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this work we analyse a one-dimensional, cell-based model of an epithelial sheet. In the model, cells interact with their nearest neighbouring cells and move deterministically. Cells also proliferate stochastically, with the rate of proliferation specified as a function of the cell length. This mechanical model of cell dynamics gives rise to a free boundary problem. We construct a corresponding continuum-limit description where the variables in the continuum limit description are expanded in powers of the small parameter 1/N, where N is the number of cells in the population. By carefully constructing the continuum limit description we obtain a free boundary partial differential equation description governing the density of the cells within the evolving domain, as well as a free boundary condition that governs the evolution of the domain. We show that care must be taken to arrive at a free boundary condition that conserves mass. By comparing averaged realisations of the cell-based model with the numerical solution of the free boundary partial differential equation, we show that the new mass-conserving boundary condition enables the coarse-grained partial differential equation model to provide very accurate predictions of the behaviour of the cell-based model, including both evolution of the cell density, and the position of the free boundary, across a range of interaction potentials and proliferation functions in the cell based model.

Indexed as

Models, BiologicalAnimalsEpithelial CellsEpitheliumHumansCell-based modelCell migrationCell proliferationFree boundary problemIndividual-based modelMechanical modelMoving boundary problem

Identifiers

PMID30576691
PMCPMC6859506

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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.