ArticleNature cell biology2026
Tissue rigidity phase transition shapes morphogen gradients.
Article in Nature cell biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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.
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Who cites it
1 citing paper in PubMed.
- Measuring morphogen transport over multiple spatial scales in live zebrafish embryos.Nature communications · 2026Article
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11 authors.
Funding
Abstract
During development, local mechanochemical cues within the cell microenvironment are translated into signalling pathways that drive cell fate decisions. Yet, as cells differentiate collectively, how global tissue-level properties shape these instructive cues remains unclear. Here we show that a tissue-scale rigidity transition guides patterning by tuning the length scales and timescales of morphogen signalling. By combining rigidity percolation theory, reaction-diffusion modelling, quantitative imaging and optogenetics in zebrafish, we uncover dynamical global tissue rigidity patterns that actively shape the Nodal morphogen gradient by locally changing its concentration and accelerating its signalling activity. In this self-generated mechanism, Nodal, besides instructing meso-endoderm fate specification, increases cell-cell adhesion strength via regulating planar cell polarity genes. Once the adhesion strength reaches a critical point, it triggers a rigidity transition which, in turn, induces the collapse of tissue porosity. The abrupt tissue reorganization negatively feeds back on Nodal signalling, impacting both its length scales, by restricting Nodal diffusivity, and its timescales, by speeding up the expression of its antagonist Lefty, thereby ensuring timely signal termination and robust patterning. Overall, we uncover a multiscale regulatory mechanism by which positional information and tissue material properties dynamically tune one another.
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