Contractility of striated muscle tissue increases with environmental stiffness according to a power-law relationship
Bibliographic record
Abstract
Abstract The interplay between contractility and mechanosensing in striated muscle is important for tissue morphogenesis, load adaptation, and disease progression, but remains poorly understood. Here, we investigate how contractile force generation in neonatal rat cardiac and C2C12 mouse skeletal muscle micro-tissues depends on environmental stiffness. Micro-tissues self-assemble and mature over one week between flexible elastic pillars with adjustable stiffness that we vary over three orders of magnitude. Contractile forces are measured from pillar deflections and are decomposed into static baseline and transient active forces in response to electrical stimulation. After 3–5 days of maturation, we find that the active, but not static, force of both cardiac and skeletal micro-tissues increases with environmental stiffness according to a strong power-law relationship, indicating a pronounced mechanoresponsiveness. Depleting the focal adhesion protein β-parvin in skeletal muscle miscro-tissues reduces absolute contractile force but does not affect mechanoresponsiveness. Our findings highlight the influence of external stiffness in striated muscle during development.
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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 | 0.001 |
| 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) | 0.002 | 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".