Evidence map›Paper›PMID 31808744›Full record

ArticleeLife2019

Bridging the gap between single-cell migration and collective dynamics.

Florian Thüroff, Andriy Goychuk, Matthias Reiter, Erwin Frey

Open access · goldAbstract read
In one paragraph

Article in eLife, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
3.6field-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

34 citing papers in PubMed, 68 citations in OpenAlex.

  1. Article
  2. Cell division sets a universal flow geometry in cell layers.Proceedings of the National Academy of Sciences of the United States of America · 2026
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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

4 authors at 1 institution in 1 country.

Florian Thüroff *Arnold Sommerfeld Center for Theoretical Physics and Center for NanoScience, Department of Physics, Ludwig-Maximilians-Universität München, Munich, Germany.
Andriy Goychuk *Arnold Sommerfeld Center for Theoretical Physics and Center for NanoScience, Department of Physics, Ludwig-Maximilians-Universität München, Munich, Germany.ORCID 0000-0001-6776-9437
Matthias ReiterArnold Sommerfeld Center for Theoretical Physics and Center for NanoScience, Department of Physics, Ludwig-Maximilians-Universität München, Munich, Germany.
Erwin FreyArnold Sommerfeld Center for Theoretical Physics and Center for NanoScience, Department of Physics, Ludwig-Maximilians-Universität München, Munich, Germany.ORCID 0000-0001-8792-3358
Center for NanoScience · DE

Funding

Deutsche Forschungsgemeinschaft Collaborative Research Center (SFB) 1032 (project B02)Deutsche Forschungsgemeinschaft Graduate School of Quantitative Biosciences Munich (QBM)German Excellence Initiative NanoSystems Initiative Munich (NIM)
6 · The paper itself

Abstract

Motivated by the wealth of experimental data recently available, we present a cellular-automaton-based modeling framework focussing on high-level cell functions and their concerted effect on cellular migration patterns. Specifically, we formulate a coarse-grained description of cell polarity through self-regulated actin organization and its response to mechanical cues. Furthermore, we address the impact of cell adhesion on collective migration in cell cohorts. The model faithfully reproduces typical cell shapes and movements down to the level of single cells, yet allows for the efficient simulation of confluent tissues. In confined circular geometries, we find that specific properties of individual cells (polarizability; contractility) influence the emerging collective motion of small cell cohorts. Finally, we study the properties of expanding cellular monolayers (front morphology; stress and velocity distributions) at the level of extended tissues.

Indexed as

AnimalsCell AdhesionCell CommunicationCell MovementCell PolarityCell ProliferationCells, CulturedCell ShapeComputer SimulationCytoskeletonEpithelial CellsEpitheliumHumansModels, BiologicalSingle-Cell Analysisbiophysicscell biologycell migrationcomputational biologynonephysics of living systemstissue mechanics

Identifiers

PMID31808744
PMCPMC6992385
OpenAlexW2991782524

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.