Evidence map›Paper›PMID 25904525›Full record

ArticleJournal of the Royal Society, Interface2015

Coordination of contractility, adhesion and flow in migrating Physarum amoebae.

Owen L Lewis, Shun Zhang, Robert D Guy, Juan C del Álamo

Erratum issuedAbstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Behavioural changes in slime moulds over time.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Article
  6. Article
  7. Article
  8. Article
  9. Self-organization in amoeboid motility.Frontiers in cell and developmental biology · 2022
    Review
  10. Origins of eukaryotic excitability.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021
    Review
  11. Adaptive behaviour and learning in slime moulds: the role of oscillations.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021
    Article
  12. Encoding memory in tube diameter hierarchy of living flow network.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  13. Article
  14. Immersed Methods for Fluid-Structure Interaction.Annual review of fluid mechanics · 2020
    Article
  15. Article
  16. Article
  17. Article
  18. Oscillatory fluid flow drives scaling of contraction wave with system size.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  19. Fluid flows shaping organism morphology.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2018
    Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Owen L LewisDepartment of Mathematics, University of Utah, Salt Lake City, UT, USA olewis@math.utah.edu.
Shun ZhangMechanical and Aerospace Engineering Department, University of California San Diego, La Jolla, CA, USA.
Robert D GuyDepartment of Mathematics, University of California Davis, Davis, CA, USA.
Juan C del ÁlamoMechanical and Aerospace Engineering Department, University of California San Diego, La Jolla, CA, USA.

Funding

Quantitative Analysis of Chemotactic Motility Cycle of Ameboid CellsR01GM084227 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DEL ALAMO, JUAN CARLOS, FIRTEL, RICHARD A · 2010 to 2018
$2.7M
NIGMS NIH HHS 5R01GM084227-03NIGMS NIH HHS R01 GM084227
6 · The paper itself

Abstract

This work examines the relationship between spatio-temporal coordination of intracellular flow and traction stress and the speed of amoeboid locomotion of microplasmodia of Physarum polycephalum. We simultaneously perform particle image velocimetry and traction stress microscopy to measure the velocity of cytoplasmic flow and the stresses applied to the substrate by migrating Physarum microamoebae. In parallel, we develop a mathematical model of a motile cell which includes forces from the viscous cytosol, a poro-elastic, contractile cytoskeleton and adhesive interactions with the substrate. Our experiments show that flow and traction stress exhibit back-to-front-directed waves with a distinct phase difference. The model demonstrates that the direction and speed of locomotion are determined by this coordination between contraction, flow and adhesion. Using the model, we identify forms of coordination that generate model predictions consistent with experiments. We demonstrate that this coordination produces near optimal migration speed and is insensitive to heterogeneity in substrate adhesiveness. While it is generally thought that amoeboid motility is robust to changes in extracellular geometry and the nature of extracellular adhesion, our results demonstrate that coordination of adhesive forces is essential to producing robust migration.

Indexed as

Models, BiologicalCell AdhesionCell MovementComputer SimulationContractile ProteinsMechanotransduction, CellularMicrofluidicsShear StrengthContractile Proteinsamoeboid motilitycell locomotioncytoplasmic streamingparticle image velocimetrytraction force microscopy

Identifiers

PMID25904525
PMCPMC4424669

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.