Evidence map›Paper›PMID 27508447›Full record

ArticleBiophysical journal2016

Collective Chemotaxis through Noisy Multicellular Gradient Sensing.

Julien Varennes, Bumsoo Han, Andrew Mugler

Abstract read
In one paragraph

Article in Biophysical journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Directed migration of cancer cells: a systems biophysics perspective.Frontiers in cell and developmental biology · 2026
    Review
  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. Galvanotactic directionality of cell groups depends on group size.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  4. Persistent pseudopod splitting is an effective chemotaxis strategy in shallow gradients.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Tools for computational analysis of moving boundary problems in cellular mechanobiology.Wiley interdisciplinary reviews. Systems biology and medicine · 2020
    Review
  10. Article
  11. Article
  12. Collective gradient sensing and chemotaxis: modeling and recent developments.Journal of physics. Condensed matter : an Institute of Physics journal · 2018
    Review
  13. 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
  14. Physical models of collective cell motility: from cell to tissue.Journal of physics D: Applied physics · 2017
    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

3 authors.

Julien VarennesDepartment of Physics and Astronomy, Purdue University, West Lafayette, Indiana.
Bumsoo HanSchools of Mechanical Engineering and Biomedical Engineering, Purdue University, West Lafayette, Indiana; Purdue University Center for Cancer Research, Purdue University, West Lafayette, Indiana.
Andrew MuglerDepartment of Physics and Astronomy, Purdue University, West Lafayette, Indiana. Electronic address: amugler@purdue.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Collective cell migration in response to a chemical cue occurs in many biological processes such as morphogenesis and cancer metastasis. Clusters of migratory cells in these systems are capable of responding to gradients of <1% difference in chemical concentration across a cell length. Multicellular systems are extremely sensitive to their environment, and although the limits to multicellular sensing are becoming known, how this information leads to coherent migration remains poorly understood. We develop a computational model of multicellular sensing and migration in which groups of cells collectively measure noisy chemical gradients. The output of the sensing process is coupled to the polarization of individual cells to model migratory behavior. Through the use of numerical simulations, we find that larger clusters of cells detect the gradient direction with higher precision and thus achieve stronger polarization bias, but larger clusters also induce more drag on collective motion. The trade-off between these two effects leads to an optimal cluster size for most efficient migration. We discuss how our model could be validated using simple, phenomenological experiments.

Indexed as

ChemotaxisModels, Biological

Identifiers

PMID27508447
PMCPMC4982970

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.