Evidence map›Paper›PMID 23427098›Full record

ArticleJournal of the Royal Society, Interface2013

Quantifying the roles of cell motility and cell proliferation in a circular barrier assay.

Matthew J Simpson, Katrina K Treloar, Benjamin J Binder, Parvathi Haridas, Kerry J Manton, David I Leavesley, D L Sean McElwain, Ruth E Baker

Abstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing 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

48 citing papers in PubMed.

  1. Review
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  6. mAmerican journal of cancer research · 2024
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  16. A free boundary model of epithelial dynamics.Journal of theoretical biology · 2019
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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

8 authors.

Matthew J SimpsonSchool of Mathematical Sciences, Queensland University of Technology, Brisbane, Australia. matthew.simpson@qut.edu.au
Katrina K Treloar
Benjamin J Binder
Parvathi Haridas
Kerry J Manton
David I Leavesley
D L Sean McElwain
Ruth E Baker

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Moving fronts of cells are essential features of embryonic development, wound repair and cancer metastasis. This paper describes a set of experiments to investigate the roles of random motility and proliferation in driving the spread of an initially confined cell population. The experiments include an analysis of cell spreading when proliferation was inhibited. Our data have been analysed using two mathematical models: a lattice-based discrete model and a related continuum partial differential equation model. We obtain independent estimates of the random motility parameter, D, and the intrinsic proliferation rate, λ, and we confirm that these estimates lead to accurate modelling predictions of the position of the leading edge of the moving front as well as the evolution of the cell density profiles. Previous work suggests that systems with a high λ/D ratio will be characterized by steep fronts, whereas systems with a low λ/D ratio will lead to shallow diffuse fronts and this is confirmed in the present study. Our results provide evidence that continuum models, based on the Fisher-Kolmogorov equation, are a reliable platform upon which we can interpret and predict such experimental observations.

Indexed as

Cell ProliferationModels, Biological3T3 CellsAnimalsCell MovementMice

Identifiers

PMID23427098
PMCPMC3627085

What OpenQuestion holds

Textmetadata
Read underepoch 390

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 OpenQuestion graph.