Evidence map›Paper›PMID 28852093›Full record

ArticleScientific reports2017

Connecting individual to collective cell migration.

Mishel George, Francesco Bullo, Otger Campàs

Abstract read
In one paragraph

Article in Scientific reports, 2017. 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. Article
  2. Article
  3. COMethods and protocols · 2024
    Article
  4. Article
  5. Dynamics of multicellular swirling on micropatterned substrates.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  6. Article
  7. Large Coherent States Formed from DisorderedEntropy (Basel, Switzerland) · 2023
    Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Review
  15. Article
  16. Born to Run? Diverse Modes of Epithelial Migration.Frontiers in cell and developmental biology · 2021
    Review
  17. Review
  18. Article
  19. Decoding collective communications using information theory tools.Journal of the Royal Society, Interface · 2020
    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

3 authors.

Mishel GeorgeDepartment of Mechanical Engineering, University of California, Santa Barbara, California, USA.
Francesco BulloDepartment of Mechanical Engineering, University of California, Santa Barbara, California, USA.
Otger CampàsDepartment of Mechanical Engineering, University of California, Santa Barbara, California, USA. campas@engr.ucsb.edu.ORCID 0000-0002-9642-8030

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Collective cell migration plays a pivotal role in the formation of organs, tissue regeneration, wound healing and many disease processes, including cancer. Despite the considerable existing knowledge on the molecular control of cell movements, it is unclear how the different observed modes of collective migration, especially for small groups of cells, emerge from the known behaviors of individual cells. Here we derive a physical description of collective cellular movements from first principles, while accounting for known phenomenological cell behaviors, such as contact inhibition of locomotion and force-induced cell repolarization. We show that this theoretical description successfully describes the motion of groups of cells of arbitrary numbers, connecting single cell behaviors and parameters (e.g., adhesion and traction forces) to the collective migration of small groups of cells and the expansion of large cell colonies. Specifically, using a common framework, we explain how cells characterized by contact inhibition of locomotion can display coherent collective behavior when in groups, even in the absence of biochemical signaling. We find an optimal group size leading to maximal group persistence and show that cell proliferation prevents the buildup of intercellular forces within cell colonies, enabling their expansion.

Indexed as

Cell CommunicationCell MovementAlgorithmsAnimalsCell PolarityHumansModels, Biological

Identifiers

PMID28852093
PMCPMC5575354

What OpenQuestion holds

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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.