Evidence map›Paper›PMID 27367541›Full record

ArticlePLoS computational biology2016

Collective Signal Processing in Cluster Chemotaxis: Roles of Adaptation, Amplification, and Co-attraction in Collective Guidance.

Brian A Camley, Juliane Zimmermann, Herbert Levine, Wouter-Jan Rappel

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
4.9field-weighted citation impact, top 5% 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

23 citing papers in PubMed, 55 citations in OpenAlex.

  1. Cell competition driven by secreted ligands: Modeling liver metastasis of colorectal cancer.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  2. Emergent eukaryotic directional sensing via receptor degradation and diffusion.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  3. Article
  4. Thermotaxis in an apolar, non-neuronal animal.Journal of the Royal Society, Interface · 2023
    Article
  5. Article
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  8. Article
  9. Article
  10. Article
  11. Tools for computational analysis of moving boundary problems in cellular mechanobiology.Wiley interdisciplinary reviews. Systems biology and medicine · 2020
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Collective gradient sensing and chemotaxis: modeling and recent developments.Journal of physics. Condensed matter : an Institute of Physics journal · 2018
    Review
  17. Article
  18. Cell-to-cell variation sets a tissue-rheology-dependent bound on collective gradient sensing.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Article
  19. Mechanisms of Cell Polarization.Current opinion in systems biology · 2017
    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

4 authors at 3 institutions in 1 country.

Brian A CamleyDepartment of Physics, University of California, San Diego, La Jolla, California, United States of America.
Juliane ZimmermannCenter for Theoretical Biological Physics, Rice University, Houston, Texas, United States of America.
Herbert LevineCenter for Theoretical Biological Physics, Rice University, Houston, Texas, United States of America.
Wouter-Jan RappelDepartment of Physics, University of California, San Diego, La Jolla, California, United States of America.
University of California, San Diego · USCenter for Theoretical Biological Physics · USRice University · US

Funding

Project 5P01GM078586 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI LOOMIS, WILLIAM F · 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

Single eukaryotic cells commonly sense and follow chemical gradients, performing chemotaxis. Recent experiments and theories, however, show that even when single cells do not chemotax, clusters of cells may, if their interactions are regulated by the chemoattractant. We study this general mechanism of "collective guidance" computationally with models that integrate stochastic dynamics for individual cells with biochemical reactions within the cells, and diffusion of chemical signals between the cells. We show that if clusters of cells use the well-known local excitation, global inhibition (LEGI) mechanism to sense chemoattractant gradients, the speed of the cell cluster becomes non-monotonic in the cluster's size-clusters either larger or smaller than an optimal size will have lower speed. We argue that the cell cluster speed is a crucial readout of how the cluster processes chemotactic signals; both amplification and adaptation will alter the behavior of cluster speed as a function of size. We also show that, contrary to the assumptions of earlier theories, collective guidance does not require persistent cell-cell contacts and strong short range adhesion. If cell-cell adhesion is absent, and the cluster cohesion is instead provided by a co-attraction mechanism, e.g. chemotaxis toward a secreted molecule, collective guidance may still function. However, new behaviors, such as cluster rotation, may also appear in this case. Co-attraction and adaptation allow for collective guidance that is robust to varying chemoattractant concentrations while not requiring strong cell-cell adhesion.

Indexed as

Models, BiologicalChemotactic FactorsChemotaxisComputational BiologyComputer SimulationSignal TransductionChemotactic Factors

Identifiers

PMID27367541
PMCPMC4930173
OpenAlexW2184802856

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.