Regulation of volume-sensitive outwardly rectifying anion channels in pulmonary arterial smooth muscle cells by PKC
Bibliographic record
Abstract
We tested the possible role of endogenous protein kinase C (PKC) in the regulation of native volume-sensitive organic osmolyte and anion channels (VSOACs) in acutely dispersed canine pulmonary artery smooth muscle cells (PASMC). Hypotonic cell swelling activated native volume-regulated Cl(-) currents (I(Cl.vol)) which could be reversed by exposure to phorbol 12,13-dibutyrate (0.1 microM) or by hypertonic cell shrinkage. Under isotonic conditions, calphostin C (0.1 microM) or Ro-31-8425 (0.1 microM), inhibitors of both conventional and novel PKC isozymes, significantly activated I(Cl.vol) and prevented further modulation by subsequent hypotonic cell swelling. Bisindolylmaleimide (0.1 microM), a selective conventional PKC inhibitor, was without effect. Dialyzing acutely dispersed and cultured PASMC with epsilon V1-2 (10 microM), a translocation inhibitory peptide derived from the V1 region of epsilon PKC, activated I(Cl.vol) under isotonic conditions and prevented further modulation by cell volume changes. Dialyzing PASMC with beta C2-2 (10 microM), a translocation inhibitory peptide derived from the C2 region of beta PKC, had no detectable effect. Immunohistochemistry in cultured canine PASMC verified that hypotonic cell swelling is accompanied by translocation of epsilon PKC from the vicinity of the membrane to cytoplasmic and perinuclear locations. These data suggest that membrane-bound epsilon PKC controls the activation state of native VSOACs in canine PASMC under isotonic and anisotonic conditions.
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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 | 0.001 |
| 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".