Evidence map›Paper›PMID 19804711›Full record

ArticleBiophysical journal2009

Stochastic collective movement of cells and fingering morphology: no maverick cells.

Gaddiel Yonathan Ouaknin, Pinhas Zvi Bar-Yoseph

Abstract read
In one paragraph

Article in Biophysical journal, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Autocrine inhibition of cell motility can drive epithelial branching morphogenesis in the absence of growth.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020
    Article
  6. Article
  7. Physics of growing biological tissues: the complex cross-talk between cell activity, growth and resistance.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2019
    Review
  8. Article
  9. Article
  10. Article
  11. Probabilistic Voxel-Fe model for single cell motility in 3D.In silico cell and tissue science · 2014
    Article
  12. Article
  13. Article
  14. Collective cell migration: leadership, invasion and segregation.Journal of the Royal Society, Interface · 2012
    Article
  15. Cell migration.Comprehensive Physiology · 2012
    Review
  16. Dual modes of motility at the leading edge of migrating epithelial cell sheets.Proceedings of the National Academy of Sciences of the United States of America · 2012
    Article
  17. Article
  18. Article
  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

2 authors.

Gaddiel Yonathan OuakninComputational Biomechanics Laboratory, Faculty of Mechanical Engineering, Technion, Israel Institute of Technology, Haifa, Israel. gaddy@tx.technion.ac.il
Pinhas Zvi Bar-Yoseph

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The classical approach to model collective biological cell movement is through coupled nonlinear reaction-diffusion equations for biological cells and diffusive chemicals that interact with the biological cells. This approach takes into account the diffusion of cells, proliferation, death of cells, and chemotaxis. Whereas the classical approach has many advantages, it fails to consider many factors that affect multicell movement. In this work, a multiscale approach, the Glazier-Graner-Hogeweg model, is used. This model is implemented for biological cells coupled with the finite element method for a diffusive chemical. The Glazier-Graner-Hogeweg model takes the biological cell state as discrete and allows it to include cohesive forces between biological cells, deformation of cells, following the path of a single cell, and stochastic behavior of the cells. Where the continuity of the tissue at the epidermis is violated, biological cells regenerate skin to heal the wound. We assume that the cells secrete a diffusive chemical when they feel a wounded region and that the cells are attracted by the chemical they release (chemotaxis). Under certain parameters, the front encounters a fingering morphology, and two fronts progressing against each other are attracted and correlated. Cell flow exhibits interesting patterns, and a drift effect on the chemical may influence the cells' motion. The effects of a polarized substrate are also discussed.

Indexed as

Cell MovementModels, BiologicalCell CommunicationCell CountChemotaxisStochastic ProcessesWound Healing

Identifiers

PMID19804711
PMCPMC2756401

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.