Evidence map›Paper›PMID 31587096›Full record

ArticleJournal of mathematical biology2020

Modelling collective cell migration: neural crest as a model paradigm.

Rasa Giniūnaitė, Ruth E Baker, Paul M Kulesa, Philip K Maini

Abstract read
In one paragraph

Article in Journal of mathematical biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. A Mathematical Model for Chemo-Mechanically Induced Collective Cell Motility on Planar Elastic Substrates.International journal for numerical methods in biomedical engineering · 2026
    Article
  2. Review
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  6. Genetic architecture of craniofacial morphogenesis: roles ofFrontiers in cell and developmental biology · 2026
    Review
  7. Article
  8. Article
  9. Article
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  12. Article
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  14. Article
  15. Mathematical models of neuronal growth.Biomechanics and modeling in mechanobiology · 2022
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
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.

Rasa GiniūnaitėWolfson Centre for Mathematical Biology, Mathematical Institute, University of Oxford, Woodstock Road, Oxford, OX2 6GG, UK. rasa.giniunaite@maths.ox.ac.uk.ORCID http://orcid.org/0000-0002-0538-6390
Ruth E BakerWolfson Centre for Mathematical Biology, Mathematical Institute, University of Oxford, Woodstock Road, Oxford, OX2 6GG, UK.
Paul M KulesaStowers Institute for Medical Research, 1000 E 50th Street, Kansas City, MO, 64110, USA.
Philip K MainiWolfson Centre for Mathematical Biology, Mathematical Institute, University of Oxford, Woodstock Road, Oxford, OX2 6GG, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A huge variety of mathematical models have been used to investigate collective cell migration. The aim of this brief review is twofold: to present a number of modelling approaches that incorporate the key factors affecting cell migration, including cell-cell and cell-tissue interactions, as well as domain growth, and to showcase their application to model the migration of neural crest cells. We discuss the complementary strengths of microscale and macroscale models, and identify why it can be important to understand how these modelling approaches are related. We consider neural crest cell migration as a model paradigm to illustrate how the application of different mathematical modelling techniques, combined with experimental results, can provide new biological insights. We conclude by highlighting a number of future challenges for the mathematical modelling of neural crest cell migration.

Indexed as

Models, BiologicalAnimalsCell CommunicationCell Line, TumorCell MovementHumansNeural CrestXenopusZebrafishCollective cell migrationDomain growthIndividual-based modelsNeural crestPartial differential equations

Identifiers

PMID31587096
PMCPMC7012984

What OpenQuestion holds

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LicenceCC BY
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.