Properties of a store-operated nonselective cation channel in airway smooth muscle
Bibliographic record
Abstract
Passive depletion of internal Ca(2+) stores in airway smooth muscle (ASM) activates nonselective cation channels (NSCCs) that mediate capacitative Ca(2+) entry. However, the single channel properties of these cation channels have yet to be resolved and their regulation by cytosolic Ca(2+) levels ([Ca(2+)](i)) still remains unclear. NSCC currents and changes in [Ca(2+)](i) during passive depletion of internal Ca(2+) stores were monitored in isolated bovine tracheal myocytes. Loading cells with 1,2-bis(o-aminophenoxy)ethane-N,N,N',N'-tetracetic acid acetyl methyl ester (BAPTA-AM) to reduce [Ca(2+)](i) and thereby deplete the store augmented a basal Gd(3+)- and La(3+)-sensitive, Ca(2+)-permeable NSCC current. This current mimics that which is evoked by store depletion using the sarcoplasmic reticulum Ca(2+) pump inhibitor cyclopiazonic acid (which concurrently and transiently elevates [Ca(2+)](i)). Both interventions activated an approximately 25-pS NSCC with properties identical to both spontaneous (basal) and BAPTA-AM-evoked single channel currents. In summary, the present study provides novel evidence that a lanthanide-sensitive, 25-pS nonselective cation channel underlies both basal and store depletion-evoked membrane currents in airway smooth muscle and that this conductance likely contributes to the regulation of resting [Ca(2+)](i) and capacitative Ca(2+) entry.
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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".