Evidence map›Paper›PMID 24152734›Full record

ArticleMolecular biology of the cell2013

Bidirectional coupling between integrin-mediated signaling and actomyosin mechanics explains matrix-dependent intermittency of leading-edge motility.

Erik S Welf, Heath E Johnson, Jason M Haugh

Abstract read
In one paragraph

Article in Molecular biology of the cell, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.5field-weighted citation impact, top 21% 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

17 citing papers in PubMed, 29 citations in OpenAlex.

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  17. Intrinsic activity in cells and the brain.Molecular biology of the cell · 2014
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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 at 1 institution in 1 country.

Erik S WelfDepartment of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC 27695.
Heath E Johnson
Jason M Haugh
North Carolina State University · US

Funding

STRUCTUREU54GM064346 · NIGMS · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI IMPERIALI, BARBARA · 2001 to 2010
$74.9M
NIGMS NIH HHS U54 GM064346NIGMS NIH HHS U54-GM064346
6 · The paper itself

Abstract

Animal cell migration is a complex process characterized by the coupling of adhesion, cytoskeletal, and signaling dynamics. Here we model local protrusion of the cell edge as a function of the load-bearing properties of integrin-based adhesions, actin polymerization fostered by adhesion-mediated signaling, and mechanosensitive activation of RhoA that promotes myosin II-generated stress on the lamellipodial F-actin network. Analysis of stochastic model simulations illustrates how these pleiotropic functions of nascent adhesions may be integrated to govern temporal persistence and frequency of protrusions. The simulations give mechanistic insight into the documented effects of extracellular matrix density and myosin abundance, and they show characteristic, nonnormal distributions of protrusion duration times that are similar to those extracted from live-cell imaging experiments. Analysis of the model further predicts relationships between measurable quantities that reflect the partitioning of stress between tension on F-actin-bound adhesions, which act as a molecular clutch, and dissipation by retrograde F-actin flow.

Indexed as

Computer SimulationActin CytoskeletonActinsActomyosinAnimalsCell AdhesionCell Adhesion MoleculesCell MovementExtracellular MatrixFocal AdhesionsIntegrinsMechanotransduction, CellularMyosin Type IIPseudopodiarhoA GTP-Binding ProteinSignal TransductionActinsActomyosinCell Adhesion MoleculesIntegrinsMyosin Type IIrhoA GTP-Binding Protein

Identifiers

PMID24152734
PMCPMC3861089
OpenAlexW2003238160

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.