ArticleBiophysical journal2017
Physical Mechanisms Driving Cell Sorting in Hydra.
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.
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Who cites it
17 citing papers in PubMed.
- Engineering anisotropic tissues: from structured scaffolds to magnetic actuation.Materials today. Bio · 2026Review
- Extracellular Matrix Viscoelasticity: A Dynamic Regulator of Cellular Behavior.Annals of biomedical engineering · 2025Review
- 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 · 2025Article
- Mechanical characterization of regenerating Hydra tissue spheres.Biophysical journal · 2024Article
- Tissue Morphogenesis Through Dynamic Cell and Matrix Interactions.Annual review of cell and developmental biology · 2023Review
- Dissociation and reaggregation ofSTAR protocols · 2022Article
- Is cell segregation like oil and water: Asymptotic versus transitory regime.PLoS computational biology · 2022Article
- Emerging Cnidarian Models for the Study of Epithelial Polarity.Frontiers in cell and developmental biology · 2022Review
- Exploiting differential effects of actomyosin contractility to control cell sorting among breast cancer cells.Molecular biology of the cell · 2021Article
- Large-scale simulations of biological cell sorting driven by differential adhesion follow diffusion-limited domain coalescence regime.PLoS computational biology · 2021Article
- Cell Sorting in Hydra vulgaris Arises from Differing Capacities for Epithelialization between Cell Types.Current biology : CB · 2020Article
- Continuous Dynamic Modeling of Regulated Cell Adhesion: Sorting, Intercalation, and Involution.Biophysical journal · 2019Article
- Force-based three-dimensional model predicts mechanical drivers of cell sorting.Proceedings. Biological sciences · 2019Article
- Linalool acts as a fast and reversible anesthetic in Hydra.PloS one · 2019Article
- Article
- Moving into shape: cell migration during the development and histogenesis of the cerebellum.Histochemistry and cell biology · 2018Review
- Sorting Things Out: Cell Sorting during Hydra Regeneration.Biophysical journal · 2017Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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