A role for the tyrosine kinase Pyk2 in depolarization‐induced contraction of vascular smooth muscle (609.3)
Bibliographic record
Abstract
Background: Depolarization of vascular smooth muscle induces rapid (phasic) contraction followed by sustained (tonic) contraction. The latter is due to activation of the RhoA/Rho‐kinase pathway via genistein‐sensitive tyrosine phosphorylation. Objective: To determine if the Ca2 + ‐dependent tyrosine kinase Pyk2 is involved in depolarization‐induced sustained contraction. Methods: Depolarization of endothelium‐free rat caudal arterial smooth muscle was induced by high extracellular [K + ] in the absence or presence of Pyk2 inhibitors. Isometric force was measured with a force transducer and Pyk2 activation (autophosphorylation of Y402) was quantified by western blotting with phosphospecific antibodies. Results: Depolarization induced Pyk2‐Y402 phosphorylation in a time‐dependent manner. Pyk2 inhibitors (sodium salicylate, PF431396 and others) prevented Y402 phosphorylation and inhibited K+‐induced contraction. Vanadate (tyrosine phosphatase inhibitor)‐, but not calyculin A (Ser/Thr phosphatase inhibitor)‐induced contraction was also inhibited by Pyk2 inhibition. Conclusion: Membrane depolarization induces phosphorylation and activation of Pyk2, which is required for the tonic phase of K+‐induced contraction.
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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 | 0.001 |
| 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".