Evidence map›Paper›PMID 20195494›Full record

ArticlePLoS computational biology2010

Stochastic model of integrin-mediated signaling and adhesion dynamics at the leading edges of migrating cells.

Murat Cirit, Matej Krajcovic, Colin K Choi, Erik S Welf, Alan F Horwitz, Jason M Haugh

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
2.7field-weighted citation impact, top 11% 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

39 citing papers in PubMed, 58 citations in OpenAlex.

  1. Article
  2. Article
  3. Systems Biology of the Cancer Cell.Annual review of biomedical engineering · 2025
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  14. Article
  15. Axon growth regulation by a bistable molecular switch.Proceedings. Biological sciences · 2018
    Article
  16. 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

6 authors at 2 institutions in 1 country.

Murat CiritDepartment of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, North Carolina, United States of America.
Matej Krajcovic
Colin K Choi
Erik S Welf
Alan F Horwitz
Jason M Haugh
North Carolina State University · USUniversity of Virginia · US

Funding

STRUCTUREU54GM064346 · NIGMS · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI IMPERIALI, BARBARA · 2001 to 2010
$74.9M
DETERMINANTS OF MYOGENIC MEMBRANE PHENOMENAR01GM023244 · NIGMS · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI HORWITZ, ALAN F. "RICK" · 1985 to 2014
$6.7M
NIGMS NIH HHS R01 GM023244NIGMS NIH HHS R01-GM023244NIGMS NIH HHS U54 GM064346NIGMS NIH HHS U54-GM064346
6 · The paper itself

Abstract

Productive cell migration requires the spatiotemporal coordination of cell adhesion, membrane protrusion, and actomyosin-mediated contraction. Integrins, engaged by the extracellular matrix (ECM), nucleate the formation of adhesive contacts at the cell's leading edge(s), and maturation of nascent adhesions to form stable focal adhesions constitutes a functional switch between protrusive and contractile activities. To shed additional light on the coupling between integrin-mediated adhesion and membrane protrusion, we have formulated a quantitative model of leading edge dynamics combining mechanistic and phenomenological elements and studied its features through classical bifurcation analysis and stochastic simulation. The model describes in mathematical terms the feedback loops driving, on the one hand, Rac-mediated membrane protrusion and rapid turnover of nascent adhesions, and on the other, myosin-dependent maturation of adhesions that inhibit protrusion at high ECM density. Our results show that the qualitative behavior of the model is most sensitive to parameters characterizing the influence of stable adhesions and myosin. The major predictions of the model, which we subsequently confirmed, are that persistent leading edge protrusion is optimal at an intermediate ECM density, whereas depletion of myosin IIA relieves the repression of protrusion at higher ECM density.

Indexed as

Models, BiologicalStochastic ProcessesAnimalsCell AdhesionCell MovementCell Surface ExtensionsCHO CellsComputational BiologyComputer SimulationCricetinaeCricetulusExtracellular MatrixGreen Fluorescent ProteinsIntegrinsMyosinsPaxillinenhanced green fluorescent proteinGreen Fluorescent ProteinsIntegrinsMyosinsPaxillinrac GTP-Binding Proteins

Identifiers

PMID20195494
PMCPMC2829041
OpenAlexW2041772318

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.