ArticleNature physics2021
Embryonic Tissues as Active Foams.
Article in Nature physics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers.
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.
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.
Who cites it
76 citing papers in PubMed, 194 citations in OpenAlex.
- The role of geometry in morphogenesis.Development (Cambridge, England) · 2026Review
- Necking of epithelial tissues with cellular topological transition.PLoS computational biology · 2026Article
- Concurrent jamming and mesenchymal-to-epithelial transitions during airway basal stem cell differentiation.iScience · 2026Article
- Tissue rigidity phase transition shapes morphogen gradients.Nature cell biology · 2026Article
- Adhesion differentials control the rheology of biomimetic emulsions.Biophysical journal · 2026Article
- Article
- MultiCell: geometric learning in multicellular development.Nature methods · 2026Article
- BIOPOINT: A particle-based model for probing nuclear mechanics and cell-ECM interactions via experimentally derived parameters.PLoS computational biology · 2026Article
- Reprogrammable Phase-Transition Composites for Adaptive Dynamic Shape Morphing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Modeling developmental morpho-dynamics at single-cell resolution.Nature methods · 2026Article
- Adhesion-driven rigidity transition decoupled from density-driven jamming triggers epithelial organization in embryonic tissues.Nature physics · 2026Article
- Pair-rule-like transcription patterns during neural tube closure in a proto-vertebrate.Development (Cambridge, England) · 2025Article
- Tissue fluidity mediates a trade-off between the speed and accuracy of multicellular patterning by cell sorting.Biophysical journal · 2025Article
- Active foam dynamics of tissue spheroid fusion.Nature communications · 2025Article
- Ultrack: pushing the limits of cell tracking across biological scales.Nature methods · 2025Article
- Tissue Fluidity Mediates a Trade-off Between the Speed and Accuracy of Multicellular Patterning by Cell Sorting.bioRxiv : the preprint server for biology · 2025Article
- Mechanical control of cell fate decisions in the skin epidermis.Nature communications · 2025Article
- Collective behavior of "flexicles".Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Spatiotemporal distribution of the glycoprotein pherophorin II reveals stochastic geometry of the growing ECM ofProceedings of the National Academy of Sciences of the United States of America · 2025Article
- Adhesion strength, cell packing density and cell surface buckling in pericellular matrix-mediated tissue cohesion.Development (Cambridge, England) · 2025Article
16 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
Abstract
The physical state of embryonic tissues emerges from non-equilibrium, collective interactions among constituent cells. Cellular jamming, rigidity transitions and characteristics of glassy dynamics have all been observed in multicellular systems, but it is unclear how cells control these emergent tissue states and transitions, including tissue fluidization. Combining computational and experimental methods, here we show that tissue fluidization in posterior zebrafish tissues is controlled by the stochastic dynamics of tensions at cell-cell contacts. We develop a computational framework that connects cell behavior to embryonic tissue dynamics, accounting for the presence of extracellular spaces, complex cell shapes and cortical tension dynamics. We predict that tissues are maximally rigid at the structural transition between confluent and non-confluent states, with actively-generated tension fluctuations controlling stress relaxation and tissue fluidization. By directly measuring strain and stress relaxation, as well as the dynamics of cell rearrangements, in elongating posterior zebrafish tissues, we show that tension fluctuations drive active cell rearrangements that fluidize the tissue. These results highlight a key role of non-equilibrium tension dynamics in developmental processes.
Identifiers
What OpenQuestion holds
Registered trials
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.