Tyrosine kinase-dependent calcium signaling in airway smooth muscle cells
Bibliographic record
Abstract
Contractile agonists may stimulate mitogenic responses in airway smooth muscle by mechanisms that involve tyrosine kinases. The role of contractile agonist-evoked activation of tyrosine kinases in contractile signaling is not clear. We addressed this issue using cultured rat airway smooth muscle cells. In these cells, serotonin (5-HT, 1 microM) caused contraction (quantitated by a decrease in cell area), which was blocked by the tyrosine kinase inhibitor genistein (40 microM). Genistein and tyrphostin 23 (40 and 10 microM, respectively) significantly decreased 5-HT-evoked peak Ca(2+) responses, and the effect of genistein could be observed in the absence of extracellular Ca(2+). The specific inhibitor of mitogen-activated protein kinase kinase PD-98059 (30 microM) had no significant effect on peak Ca(2+) levels. Western analysis of cell extracts revealed that 5-HT caused a significant increase in tyrosine phosphorylation of proteins with molecular masses of approximately 70 kDa within 10 s of stimulation but no measurable tyrosine phosphorylation of the gamma isoform of phospholipase C (PLC-gamma). Tyrosine phosphorylation was inhibited by genistein. Furthermore, genistein (40 microM) significantly attenuated 5-HT-induced inositol phosphate production. We conclude that in airway smooth muscle contractile agonists acting on G protein-coupled receptors may activate tyrosine kinase(s), which in turn modulate calcium signaling by affecting, directly or indirectly, PLC-beta activity. It is unlikely that PLC-gamma or the mitogen-activated protein kinase pathway is involved in Ca(2+) signaling to 5-HT.
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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) | 0.001 | 0.001 |
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".