Mécanodétection des forces hémodynamiques lors du développement endocardique chez l'espèce Danio rerio
Bibliographic record
Abstract
Mechanical forces that dictate valve formation are not well understood. In zebrafish, blood flow induces expression of the transcription factor klf2a in a specific subset of endocardial cells that will go on to form functional valves. We aimed to identify the molecular mechanisms activating this flow-induced valve formation. By altering and modifying blood flow patterns, we observed that flow-mediated forces are necessary to control early klf2a expression and endocardial cell numbers. We then looked at different mechanosensors operating at early stages of valve development. Using in vivo labelling, we identified primary cilia in the endocardium and showed that the membrane channels TRPP2 and TRPV4 increase intracellular calcium which activates a PKC-PKD2-HDAC5 pathway necessary for klf2a expression in response to flow. Together these data suggest a role for TRPV4, TRPP2 and the recently described PKC-PKD2-HDAC5 signalling pathway in klf2a-mediated valvulogenesis.
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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".