A Maxi Cl− Channel in Cultured Pavement Cells From the Gills of the Freshwater Rainbow Trout <i>Oncorhynchus Mykiss</i>
Bibliographic record
Abstract
Primary cultures of pavement cells from the gills of a freshwater fish, the rainbow trout Oncorhynchus mykiss, have been studied for the first time using the patch-clamp technique. Gigaohm seals were obtained in approximately 95% of cells studied, and channel activity was evident in a high proportion (>90%). A large-conductance Cl- channel was evident in 6 % of cell-attached and in 31% of inside-out patches. Single-channel conductance in inside-out patches was 372 pS, and current/voltage relationships were linear over the range -60 to +60 mV. The channel was activated by patch excision, and activation was often associated with polarization of the patch. The mean number of channels per patch was 1.9, and there were several subconductance states. The relationship between channel activity (NP(o)) and voltage was in the form of an inverted U, and channel activity was highest between 0 and +20 mV. Large-conductance Cl- channels showed a progressive time-dependent reduction in current in response to sustained polarization to voltages outside the range -20 mV to +20 mV. Permeability ratios (P) of Cl- to other anions were P(HCO3)/P(Cl)=0.81, P(SO4)/P(Cl)=0.31 and P(isethionate)/P(Cl)=0.53. The channel was blocked by Zn2+, SITS, DIDS and diphenylamine carboxylate. This is the first description of a large-conductance Cl- channel in gill cells from freshwater or marine species. Possible functions of the channel are discussed.
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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".