Evidence map›Paper›PMID 31365063›Full record

ArticleIntegrative biology : quantitative biosciences from nano to macro2019

Emergent spatiotemporal dynamics of the actomyosin network in the presence of chemical gradients.

Callie J Miller, Paul K LaFosse, Sreeja B Asokan, Jason M Haugh, James E Bear, Timothy C Elston

Open access · bronzeAbstract read
In one paragraph

Article in Integrative biology : quantitative biosciences from nano to macro, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 91% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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 4 institutions in 1 country.

Callie J MillerDepartment of Engineering, James Madison University, Harrisonburg, VA, USA.
Paul K LaFosseDepartment of Pharmacology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Sreeja B AsokanDepartment of Cell Biology and Physiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Jason M HaughDepartment of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC, USA.
James E BearDepartment of Cell Biology and Physiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Timothy C ElstonDepartment of Pharmacology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
University of North Carolina at Chapel Hill · USJames Madison University · USNorth Carolina State University · USUNC Lineberger Comprehensive Cancer Center

Funding

UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Stephanie Engel · 2001 to 2026
$36.3M
Multiscale Modeling of Wound HealingU01EB018816 · NIBIB · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI HAUGH, JASON M. · 2014 to 2021
$4.0M
Mathematical modeling of cellular signaling systemsR35GM127145 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Timothy C Elston · 2018 to 2026
$3.9M
NIBIB NIH HHS U01 EB018816NIEHS NIH HHS P30 ES010126NIGMS NIH HHS R35 GM127145
6 · The paper itself

Abstract

We used particle-based computer simulations to study the emergent properties of the actomyosin cytoskeleton. Our model accounted for biophysical interactions between filamentous actin and non-muscle myosin II and was motivated by recent experiments demonstrating that spatial regulation of myosin activity is required for fibroblasts responding to spatial gradients of platelet derived growth factor (PDGF) to undergo chemotaxis. Our simulations revealed the spontaneous formation of actin asters, consistent with the punctate actin structures observed in chemotacting fibroblasts. We performed a systematic analysis of model parameters to identify biochemical steps in myosin activity that significantly affect aster formation and performed simulations in which model parameter values vary spatially to investigate how the model responds to chemical gradients. Interestingly, spatial variations in motor stiffness generated time-dependent behavior of the actomyosin network, in which actin asters continued to spontaneously form and dissociate in different regions of the gradient. Our results should serve as a guide for future experimental investigations.

Indexed as

ChemotaxisComputer SimulationActin CytoskeletonActomyosinAnimalsCell MovementFibroblastsHumansModels, BiologicalMyosin Type IIPattern Recognition, AutomatedPlatelet-Derived Growth FactorSignal TransductionActomyosinMyosin Type IIPlatelet-Derived Growth Factoractomyosinchemical gradientcomputational Simulation

Identifiers

PMID31365063
PMCPMC6686739
OpenAlexW2967610497

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.