Simultaneous in situ monitoring of intracellular Ca<sup>2+</sup>and NO in endothelium of coronary arteries
Bibliographic record
Abstract
We developed an in situ assay system to simultaneously monitor intracellular Ca(2+) concentration ([Ca(2+)](i), fura 2 as indicator) and nitric oxide (NO) levels [4,5-diaminofluorescein as probe] in the intact endothelium of small bovine coronary arteries by using a fluorescent microscopic imaging technique with high-speed wavelength switching. Bradykinin (BK; 1 microM) stimulated a rapid increase in [Ca(2+)](i) followed by an increase in NO production in the endothelial cells. The protein tyrosine phosphatase inhibitor phenylarsine oxide (PAO; 10 microM) induced a gradual, small increase in [Ca(2+)](i) and a slow increase in intracellular NO levels. Removal of extracellular Ca(2+) and depletion of Ca(2+) stores completely blocked BK-induced increase in NO production but had no effect on PAO-induced NO production. However, a further reduction of [Ca(2+)](i) by application of BAPTA-AM or EGTA with ionomycin abolished the PAO-induced NO increase. These results indicate that a simultaneous monitoring of [Ca(2+)](i) and intracellular NO production in the intact endothelium is a powerful tool to study Ca(2+)-dependent regulation of endothelial nitric oxide synthase, which provides the first direct evidence for a permissive role of Ca(2+) in tyrosine phosphorylation-induced NO production.
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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".