Evidence map›Paper›PMID 23251032›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2013

Migration of cells in a social context.

Søren Vedel, Savaş Tay, Darius M Johnston, Henrik Bruus, Stephen R Quake

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing 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

55 citing papers in PubMed.

  1. Article
  2. Article
  3. Physical models of embryonic epithelial healing.PLoS computational biology · 2026
    Review
  4. Quantifying Information Exchange Between Cells in Inflammaging.Bioengineering (Basel, Switzerland) · 2026
    Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Quantifying heterogeneity to drug response in cancer-stroma kinetics.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  11. Article
  12. The Social Norm of Hematopoietic Stem Cells and Dysregulation in Leukemia.International journal of molecular sciences · 2022
    Review
  13. Article
  14. Article
  15. Article
  16. Learning the dynamics of cell-cell interactions in confined cell migration.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  17. Bioimage Analysis and Cell Motility.Patterns (New York, N.Y.) · 2021
    Review
  18. Rules of collective migration: from the wildebeest to the neural crest.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020
    Review
  19. Article
  20. Article
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.

Søren VedelDepartment of Micro- and Nanotechnology, Technical University of Denmark, DK-2800 Kongens Lyngby, Denmark.
Savaş Tay
Darius M Johnston
Henrik Bruus
Stephen R Quake

Funding

Howard Hughes Medical Institute
6 · The paper itself

Abstract

In multicellular organisms and complex ecosystems, cells migrate in a social context. Whereas this is essential for the basic processes of life, the influence of neighboring cells on the individual remains poorly understood. Previous work on isolated cells has observed a stereotypical migratory behavior characterized by short-time directional persistence with long-time random movement. We discovered a much richer dynamic in the social context, with significant variations in directionality, displacement, and speed, which are all modulated by local cell density. We developed a mathematical model based on the experimentally identified "cellular traffic rules" and basic physics that revealed that these emergent behaviors are caused by the interplay of single-cell properties and intercellular interactions, the latter being dominated by a pseudopod formation bias mediated by secreted chemicals and pseudopod collapse following collisions. The model demonstrates how aspects of complex biology can be explained by simple rules of physics and constitutes a rapid test bed for future studies of collective migration of individual cells.

Indexed as

Models, BiologicalBiophysical PhenomenaCell CommunicationCell CountCell MovementMicrofluidicsMovement

Identifiers

PMID23251032
PMCPMC3538227

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.