Src modulates serotonin-induced calcium signaling by regulating phosphatidylinositol 4,5-bisphosphate
Bibliographic record
Abstract
We tested the hypothesis that, in airway smooth muscle cells, stimulation of G-protein-coupled receptors by contractile agonists activates Src kinase and that this kinase modulates cell contractility and Ca(2+) signaling by affecting the levels of the phospholipase C substrate phosphatidylinositol 4,5-bisphosphate (PIP(2)). Stimulation of cultured rat tracheal smooth muscle cells with serotonin (5-HT) induced an increase in Src activity, Ca(2+) mobilization, and contraction (decrease in cell area). 5-HT-evoked cell contraction was reduced by a specific inhibitor of Src family kinases, 4-amino-5(4-methylphenyl)-7-(t-butyl)pyrazolo[3,4-d]pyrimidine (PP1). Peak Ca(2+) responses to 5-HT were attenuated by PP1 and an anti-Src-blocking antibody and augmented by expression of constitutively activated Y529F Src. Sustained phases of Ca(2+) responses to 5-HT and Ca(2+) influx resulting from emptying of Ca(2+) stores in the endoplasmic reticulum by thapsigargin were also decreased after PP1 treatment. PP1 significantly reduced the turnover of inositol phosphates produced on 5-HT stimulation and the amount of PIP(2) in the Triton X-100-insoluble lipid fraction. Overall, these data demonstrate that, in rat tracheal smooth muscle cells, Src kinase modulates 5-HT-evoked cell contractility and Ca(2+) signaling by regulating PIP(2) levels and Ca(2+) influx.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".