Force-dependent activation of actin elongation factor mDia1 protects the cytoskeleton from mechanical damage and facilitates stress fiber repair
Bibliographic record
Abstract
ABSTRACT Plasticity of cell mechanics underlies a wide range of cell and tissue behaviors allowing cells to migrate through narrow spaces, resist shear forces, and safeguard against mechanical damage. Such plasticity depends on spatiotemporal regulation of the actomyosin cytoskeleton, but mechanisms of adaptive change in cell mechanics remain elusive. Here, we report a mechanism of mechanically activated actin polymerization at focal adhesions, specifically requiring the actin elongation factor mDia1. By combining live-cell imaging with mathematical modelling, we show that actin polymerization at focal adhesions exhibits pulsatile dynamics where spikes of mDia1 activity are triggered by contractile forces. The suppression of mDia1-mediated actin polymerization increases tension on stress fibers leading to an increased frequency of spontaneous stress fiber damage and decreased efficiency of zyxin-mediated stress fiber repair. We conclude that tension-controlled actin polymerization acts as a safety valve dampening excessive tension on the actin cytoskeleton and safeguarding stress fibers against mechanical damage. SUMMARY Valencia et al. report that tension-controlled actin polymerization at focal adhesions mediated by formin mDia1 controls mechanical tension on stress fibers. Suppression of mDia1 increases tension on the actin cytoskeleton leading to a higher rate of stress fiber damage and less efficient stress fiber repair.
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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".