Role of c‐Src tyrosine kinase in airway smooth muscle contraction
Bibliographic record
Abstract
One component of asthma is airway hyperactivity whereby the airway smooth muscle (ASM) cells abnormally constrict (to a greater degree) in the presence of an excitatory stimulus. It is not known whether serotonin (5‐HT) and acetylcholine (ACh) differentially impact ASM contraction via c‐Src phosphorylation (activation). This study investigated the contractile responses to ACh and 5‐HT in the presence of a non‐selective tyrosine kinase inhibitor (genistein) and Src‐family kinase inhibitors (PP1 and PP2). We also examined whether these contractile agonists influenced c‐Src phosphorylation. Bovine tracheal ASM segments (0.5cm × 3cm) were dissected, mounted vertically in an organ bath and the isometric changes in tension were measured. Segments were flash frozen and subjected to western blotting. PP1 and PP2 significantly reduced the contractile response of 5‐HT by 73% and 70% respectively, but did not change the response to ACh. Genistein completely abolished responses to 5‐HT but did not affect responses to ACh. Western blotting data suggests increased c‐Src phosphorylation in response to both 5‐HT and ACh. These data suggest c‐Src tyrosine kinase activation is uniquely sensitive to 5‐HT (relative to ACh) and might be a key molecular player in ASM contraction when ASM cells are stimulated by the 5‐HT G‐protein coupled receptor. Research Support: CIHR
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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".