Evidence map›Paper›PMID 28472054›Full record

ArticlePLoS computational biology2017

A mathematical model coupling polarity signaling to cell adhesion explains diverse cell migration patterns.

William R Holmes, JinSeok Park, Andre Levchenko, Leah Edelstein-Keshet

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

32 citing papers in PubMed, 62 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. LKB1 biology: assessing the therapeutic relevancy of LKB1 inhibitors.Cell communication and signaling : CCS · 2024
    Review
  6. Article
  7. Mesenchymal cell migration on one-dimensional micropatterns.Frontiers in cell and developmental biology · 2024
    Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Sensing the shape of a cell with reaction diffusion and energy minimization.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  14. Review
  15. Review
  16. Review
  17. A free boundary mechanobiological model of epithelial tissues.Proceedings. Mathematical, physical, and engineering sciences · 2020
    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

4 authors at 3 institutions in 2 countries.

William R HolmesDepartment of Physics and Astronomy, Vanderbilt University, Nashville, Tennessee, United States of America.ORCID 0000-0001-6683-4647
JinSeok ParkDepartment of Biomedical Engineering, Yale University, New Haven, Connecticut, United States of America.
Andre LevchenkoDepartment of Biomedical Engineering, Yale University, New Haven, Connecticut, United States of America.
Leah Edelstein-KeshetDepartment of Mathematics, University of British Columbia, Vancouver BC, Canada.ORCID 0000-0002-2233-690X
Yale University · USUniversity of British Columbia · CAVanderbilt University · US

Funding

Systems analysis of phenotypic switch in control of cancer invasionU54CA209992 · NCI · YALE UNIVERSITY · PI LEVCHENKO, ANDRE · 2016 to 2021
$10.1M
Analysis of the Signaling and Mechanical Cues Promoting Invasion in MelanomaU01CA155758 · NCI · YALE UNIVERSITY · PI LAUFFENBURGER, DOUGLAS A, LEVCHENKO, ANDRE · 2011 to 2015
$1.8M
NCI NIH HHS U01 CA155758NCI NIH HHS U54 CA209992
6 · The paper itself

Abstract

Protrusion and retraction of lamellipodia are common features of eukaryotic cell motility. As a cell migrates through its extracellular matrix (ECM), lamellipod growth increases cell-ECM contact area and enhances engagement of integrin receptors, locally amplifying ECM input to internal signaling cascades. In contrast, contraction of lamellipodia results in reduced integrin engagement that dampens the level of ECM-induced signaling. These changes in cell shape are both influenced by, and feed back onto ECM signaling. Motivated by experimental observations on melanoma cells lines (1205Lu and SBcl2) migrating on fibronectin (FN) coated topographic substrates (anisotropic post-density arrays), we probe this interplay between intracellular and ECM signaling. Experimentally, cells exhibited one of three lamellipodial dynamics: persistently polarized, random, or oscillatory, with competing lamellipodia oscillating out of phase (Park et al., 2017). Pharmacological treatments, changes in FN density, and substrate topography all affected the fraction of cells exhibiting these behaviours. We use these observations as constraints to test a sequence of hypotheses for how intracellular (GTPase) and ECM signaling jointly regulate lamellipodial dynamics. The models encoding these hypotheses are predicated on mutually antagonistic Rac-Rho signaling, Rac-mediated protrusion (via activation of Arp2/3 actin nucleation) and Rho-mediated contraction (via ROCK phosphorylation of myosin light chain), which are coupled to ECM signaling that is modulated by protrusion/contraction. By testing each model against experimental observations, we identify how the signaling layers interact to generate the diverse range of cell behaviors, and how various molecular perturbations and changes in ECM signaling modulate the fraction of cells exhibiting each. We identify several factors that play distinct but critical roles in generating the observed dynamic: (1) competition between lamellipodia for shared pools of Rac and Rho, (2) activation of RhoA by ECM signaling, and (3) feedback from lamellipodial growth or contraction to cell-ECM contact area and therefore to the ECM signaling level.

Indexed as

Models, BiologicalCell Physiological PhenomenaComputational BiologyExtracellular Matrixrho GTP-Binding Proteinsrho GTP-Binding Proteins

Identifiers

PMID28472054
PMCPMC5436877
OpenAlexW2547247831

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.