Evidence map›Paper›PMID 30282737›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2018

Oscillatory fluid flow drives scaling of contraction wave with system size.

Jean-Daniel Julien, Karen Alim

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

9 citing papers in PubMed, 29 citations in OpenAlex.

  1. Coexistence of trapped and flow-transported nuclei enables fast pigeon post communication across multinucleated cell.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  2. Emergence of synchronized growth oscillations in filamentous fungi.Journal of the Royal Society, Interface · 2024
    Article
  3. Article
  4. Article
  5. 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
  6. 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
  7. Review
  8. Review
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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

2 authors at 1 institution in 1 country.

Jean-Daniel JulienBiological Physics and Morphogenesis Group, Max Planck Institute for Dynamics and Self-Organization, 37077 Göttingen, Germany.
Karen AlimBiological Physics and Morphogenesis Group, Max Planck Institute for Dynamics and Self-Organization, 37077 Göttingen, Germany karen.alim@ds.mpg.de.ORCID 0000-0002-2527-5831
Max Planck Institute for Dynamics and Self-Organization · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Flows over remarkably long distances are crucial to the functioning of many organisms, across all kingdoms of life. Coordinated flows are fundamental to power deformations, required for migration or development, or to spread resources and signals. A ubiquitous mechanism to generate flows, particularly prominent in animals and amoebas, is actomyosin cortex-driven mechanical deformations that pump the fluid enclosed by the cortex. However, it is unclear how cortex dynamics can self-organize to give rise to coordinated flows across the largely varying scales of biological systems. Here, we develop a mechanochemical model of actomyosin cortex mechanics coupled to a contraction-triggering, soluble chemical. The chemical itself is advected with the flows generated by the cortex-driven deformations of the tubular-shaped cell. The theoretical model predicts a dynamic instability giving rise to stable patterns of cortex contraction waves and oscillatory flows. Surprisingly, simulated patterns extend beyond the intrinsic length scale of the dynamic instability-scaling with system size instead. Patterns appear randomly but can be robustly generated in a growing system or by flow-generating boundary conditions. We identify oscillatory flows as the key for the scaling of contraction waves with system size. Our work shows the importance of active flows in biophysical models of patterning, not only as a regulating input or an emergent output, but also as a full part of a self-organized machinery. Contractions and fluid flows are observed in all kinds of organisms, so this concept is likely to be relevant for a broad class of systems.

Indexed as

Mechanotransduction, CellularModels, BiologicalModels, TheoreticalActin CytoskeletonActomyosinAnimalsMuscle ContractionActomyosinactive matterfluid mechanicspattern formation

Identifiers

PMID30282737
PMCPMC6196541
OpenAlexW2808059032

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.