Evidence map›Paper›PMID 30138392›Full record

ArticlePloS one2018

Modeling random crawling, membrane deformation and intracellular polarity of motile amoeboid cells.

Sergio Alonso, Maike Stange, Carsten Beta

Abstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Single-cell chiral symmetry breaking under confinement.bioRxiv : the preprint server for biology · 2026
    Article
  3. Article
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  14. Article
  15. Tools for computational analysis of moving boundary problems in cellular mechanobiology.Wiley interdisciplinary reviews. Systems biology and medicine · 2020
    Review
  16. Article
  17. How cortical waves drive fission of motile cells.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  18. Article
  19. A minimal computational model for three-dimensional cell migration.Journal of the Royal Society, Interface · 2019
    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

3 authors.

Sergio AlonsoDepartment of Physics, Universitat Politecnica de Catalunya, Barcelona, Spain.ORCID 0000-0002-3989-8757
Maike StangeInstitute of Physics and Astronomy, Universität Potsdam, Potsdam, Germany.
Carsten BetaInstitute of Physics and Astronomy, Universität Potsdam, Potsdam, Germany.ORCID 0000-0002-0100-1043

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Amoeboid movement is one of the most widespread forms of cell motility that plays a key role in numerous biological contexts. While many aspects of this process are well investigated, the large cell-to-cell variability in the motile characteristics of an otherwise uniform population remains an open question that was largely ignored by previous models. In this article, we present a mathematical model of amoeboid motility that combines noisy bistable kinetics with a dynamic phase field for the cell shape. To capture cell-to-cell variability, we introduce a single parameter for tuning the balance between polarity formation and intracellular noise. We compare numerical simulations of our model to experiments with the social amoeba Dictyostelium discoideum. Despite the simple structure of our model, we found close agreement with the experimental results for the center-of-mass motion as well as for the evolution of the cell shape and the overall intracellular patterns. We thus conjecture that the building blocks of our model capture essential features of amoeboid motility and may serve as a starting point for more detailed descriptions of cell motion in chemical gradients and confined environments.

Indexed as

Cell MovementModels, BiologicalAlgorithmsCell MembraneCells, CulturedCytoplasmDictyostelium

Identifiers

PMID30138392
PMCPMC6107139

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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.