Evidence map›Paper›PMID 29262375›Full record

ArticleBiophysical journal2017

Physical Mechanisms Driving Cell Sorting in Hydra.

Olivier Cochet-Escartin, Tiffany T Locke, Winnie H Shi, Robert E Steele, Eva-Maria S Collins

Abstract read
In one paragraph

Article in Biophysical journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Review
  2. Review
  3. Anisotropic stretch biases the self-organization of actin fibers in multicellular Hydra aggregates.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  4. Article
  5. Tissue Morphogenesis Through Dynamic Cell and Matrix Interactions.Annual review of cell and developmental biology · 2023
    Review
  6. Dissociation and reaggregation ofSTAR protocols · 2022
    Article
  7. Article
  8. Emerging Cnidarian Models for the Study of Epithelial Polarity.Frontiers in cell and developmental biology · 2022
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Olivier Cochet-EscartinDepartment of Physics, University of California, San Diego, La Jolla, California.
Tiffany T LockeDivision of Biological Sciences, University of California, San Diego, La Jolla, California.
Winnie H ShiDepartment of Physics, University of California, San Diego, La Jolla, California.
Robert E SteeleDepartment of Biological Chemistry and the Developmental Biology Center, University of California, Irvine, Irvine, California.
Eva-Maria S CollinsDepartment of Physics, University of California, San Diego, La Jolla, California; Division of Biological Sciences, University of California, San Diego, La Jolla, California. Electronic address: emszcollins@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cell sorting, whereby a heterogeneous cell mixture organizes into distinct tissues, is a fundamental patterning process in development. Hydra is a powerful model system for carrying out studies of cell sorting in three dimensions, because of its unique ability to regenerate after complete dissociation into individual cells. The physicists Alfred Gierer and Hans Meinhardt recognized Hydra's self-organizing properties more than 40 years ago. However, what drives cell sorting during regeneration of Hydra from cell aggregates is still debated. Differential motility and differential adhesion have been proposed as driving mechanisms, but the available experimental data are insufficient to distinguish between these two. Here, we answer this longstanding question by using transgenic Hydra expressing fluorescent proteins and a multiscale experimental and numerical approach. By quantifying the kinematics of single cell and whole aggregate behaviors, we show that no differences in cell motility exist among cell types and that sorting dynamics follow a power law with an exponent of ∼0.5. Additionally, we measure the physical properties of separated tissues and quantify their viscosities and surface tensions. Based on our experimental results and numerical simulations, we conclude that tissue interfacial tensions are sufficient to explain cell sorting in aggregates of Hydra cells. Furthermore, we demonstrate that the aggregate's geometry during sorting is key to understanding the sorting dynamics and explains the exponent of the power law behavior. Our results answer the long standing question of the physical mechanisms driving cell sorting in Hydra cell aggregates. In addition, they demonstrate how powerful this organism is for biophysical studies of self-organization and pattern formation.

Indexed as

Biophysical PhenomenaAnimalsCell AdhesionCell AggregationHydraModels, BiologicalSingle-Cell Analysis

Identifiers

PMID29262375
PMCPMC5771031

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Registered trials

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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.