Durotaxis bridges phase transition as a function of tissue stiffness <i>in vivo</i>
Bibliographic record
Abstract
ABSTRACT Physical processes ultimately drive morphogenetic cell movements. Two proposals are that 1) cells migrate toward stiffer tissue (durotaxis) and that 2) the extent of cell rearrangements reflects liquid-solid tissue phase. It is unclear whether and how these concepts are related. Here, we identify fibronectin-dependent tissue stiffness as a control variable that underlies and unifies these phenomena in vivo . In murine limb bud mesoderm, cells are either caged, move directionally by durotaxis or intercalate as a function of their location along a stiffness gradient. A unifying stiffness-phase transition model that is based on a Landau equation accurately predicts cell diffusivity upon loss or gain of fibronectin. Fibronectin is regulated by a WNT5A-YAP positive feedback pathway that controls cell movements, tissue shape and skeletal pattern. The results identify a key determinant of phase transition and show how durotaxis emerges in a mixed phase environment in vivo .
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".