Evidence map›Paper›PMID 27278647›Full record

ReviewOpen biology2016

Multidisciplinary approaches to understanding collective cell migration in developmental biology.

Linus J Schumacher, Paul M Kulesa, Rebecca McLennan, Ruth E Baker, Philip K Maini

Open access · goldAbstract readReview
In one paragraph

Review in Open biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
4.5field-weighted citation impact, top 6% of its field
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

15 citing papers in PubMed, 46 citations in OpenAlex.

  1. Article
  2. Galvanotactic directionality of cell groups depends on group size.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Detection and characterization of chemotaxis without cell tracking.Journal of the Royal Society, Interface · 2021
    Article
  8. Review
  9. Article
  10. The development of the trunk neural crest in the turtle Trachemys scripta.Developmental dynamics : an official publication of the American Association of Anatomists · 2020
    Article
  11. Article
  12. Review
  13. Article
  14. Data-driven modeling reveals cell behaviors controlling self-organization duringProceedings of the National Academy of Sciences of the United States of America · 2017
    Article
  15. 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

5 authors at 2 institutions in 2 countries.

Linus J SchumacherMathematics, University of Oxford, Oxford, UK Department of Life Sciences and Centre for Integrative Systems Biology and Bioinformatics, Imperial College, London, UK.
Paul M KulesaStowers Institute for Medical Research, 1000 E 50th Street, Kansas City, MO 60114, USA.
Rebecca McLennanStowers Institute for Medical Research, 1000 E 50th Street, Kansas City, MO 60114, USA.
Ruth E BakerMathematics, University of Oxford, Oxford, UK.
Philip K MainiMathematics, University of Oxford, Oxford, UK maini@maths.ox.ac.uk.
University of Oxford · GBStowers Institute for Medical Research · US

Funding

In Vivo Analysis of TrkB Signaling During Sympathetic Nervous System Development and Neuroblastoma PathogenesisR21NS092001 · NINDS · STOWERS INSTITUTE FOR MEDICAL RESEARCH · PI KULESA, PAUL · 2015 to 2016
$454k
NINDS NIH HHS R21 NS092001
6 · The paper itself

Abstract

Mathematical models are becoming increasingly integrated with experimental efforts in the study of biological systems. Collective cell migration in developmental biology is a particularly fruitful application area for the development of theoretical models to predict the behaviour of complex multicellular systems with many interacting parts. In this context, mathematical models provide a tool to assess the consistency of experimental observations with testable mechanistic hypotheses. In this review, we showcase examples from recent years of multidisciplinary investigations of neural crest cell migration. The neural crest model system has been used to study how collective migration of cell populations is shaped by cell-cell interactions, cell-environmental interactions and heterogeneity between cells. The wide range of emergent behaviours exhibited by neural crest cells in different embryonal locations and in different organisms helps us chart out the spectrum of collective cell migration. At the same time, this diversity in migratory characteristics highlights the need to reconcile or unify the array of currently hypothesized mechanisms through the next generation of experimental data and generalized theoretical descriptions.

Indexed as

AnimalsCell CommunicationCell DifferentiationCell MovementDevelopmental BiologyHumansModels, BiologicalNeural Crestcollective cell migrationdevelopmental biologymathematical modellingneural crest

Identifiers

PMID27278647
PMCPMC4929938
OpenAlexW2412463715

What OpenQuestion holds

Textmetadata
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.