Cyclopiazonic acid activates a Ca<sup>2+</sup>-permeable, nonselective cation conductance in porcine and bovine tracheal smooth muscle
Bibliographic record
Abstract
Capacitative Ca2+ entry has been examined in several tissues and, in some, appears to be mediated by nonselective cation channels collectively referred to as "store-operated" cation channels; however, relatively little is known about the electrophysiological properties of these channels in airway smooth muscle. Consequently we examined the electrophysiological characteristics and changes in intracellular Ca2+ concentration associated with a cyclopiazonic acid (CPA)-evoked current in porcine and bovine airway smooth muscle using patch-clamp and Ca2+-fluorescence techniques. In bovine tracheal myocytes, CPA induced an elevation of intracellular Ca2+ that was dependent on extracellular Ca2+ and was insensitive to nifedipine (an L-type voltage-gated Ca2+ channel inhibitor). Using patch-clamp techniques and conditions that block both K+ and Cl- currents, we found that CPA rapidly activated a membrane conductance (I(CPA)) in porcine and bovine tracheal myocytes that exhibits a linear current-voltage relationship with a reversal potential around 0 mV. Replacement of extracellular Na+ resulted in a marked reduction of I(CPA) at physiological membrane potentials (i.e., -60 mV) that was accompanied by a shift in the reversal potential for I(CPA) toward more negative membrane potentials. In addition, I(CPA) was markedly inhibited by 10 microM Gd3+ and La3+ but was largely insensitive to 1 microM nifedipine. We conclude that CPA induces capacitative Ca2+ entry in porcine and bovine tracheal smooth muscle via a Gd3+- and La3+-sensitive, nonselective cation conductance.
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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) | 0.000 | 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".