Evidence map›Paper›PMID 28989187›Full record

ArticleJournal of physics D: Applied physics2017

Physical models of collective cell motility: from cell to tissue.

Brian A Camley, Wouter-Jan Rappel

Open access · greenAbstract read
In one paragraph

Article in Journal of physics D: Applied physics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed
8.3field-weighted citation impact, top 1% 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

63 citing papers in PubMed, 200 citations in OpenAlex.

  1. Article
  2. Physical models of embryonic epithelial healing.PLoS computational biology · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Machine learning meets physics: A two-way street.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Migration and division in cell monolayers on substrates with topological defects.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  15. Article
  16. Appetizer on soft matter physics concepts in mechanobiology.Development, growth & differentiation · 2023
    Review
  17. Article
  18. Article
  19. Article
  20. Review

3 more citing papers are in PubMed but not listed here.

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

2 authors at 1 institution in 1 country.

Brian A CamleyDepartment of Physics, UC San Diego, San Diego, CA, USA.
Wouter-Jan RappelDepartment of Physics, UC San Diego, San Diego, CA, USA.
University of California, San Diego · US

Funding

Project 5P01GM078586 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI LEVINE, HERBERT · 2007 to 2016
$11.2M
Eukaryotic cell motility on patterned substrates and in complex environmentsF32GM110983 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CAMLEY, BRIAN A · 2015 to 2015
$54k
NIGMS NIH HHS F32 GM110983NIGMS NIH HHS P01 GM078586
6 · The paper itself

Abstract

In this article, we review physics-based models of collective cell motility. We discuss a range of techniques at different scales, ranging from models that represent cells as simple self-propelled particles to phase field models that can represent a cell's shape and dynamics in great detail. We also extensively review the ways in which cells within a tissue choose their direction, the statistics of cell motion, and some simple examples of how cell-cell signaling can interact with collective cell motility. This review also covers in more detail selected recent works on collective cell motion of small numbers of cells on micropatterns, in wound healing, and the chemotaxis of clusters of cells.

Identifiers

PMID28989187
PMCPMC5625300
OpenAlexW2568138673

What OpenQuestion holds

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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.