Localization and characterization of phenamil-sensitive Na+influx in isolated rainbow trout gill epithelial cells
Bibliographic record
Abstract
Percoll density-gradient separation, combined with peanut lectin agglutinin (PNA) binding and magnetic bead separation, was used to separate dispersed fish gill cells into sub-populations. Functional characterization of each of the sub-populations was performed to determine which displayed acid-activated phenamil- and bafilomycin-sensitive Na(+) uptake. Analysis of the mechanism(s) of (22)Na(+) influx was performed in control and acid-activated (addition of 10 mmoll(-1) proprionic acid) cells using a variety of Na(+) transport inhibitors (ouabain, phenamil, HOE-694 and bumetanide) and a V-type ATPase inhibitor (bafilomycin). We found that cells migrating to a 1.03-1.05 g ml(-1) Percoll interface [pavement cells (PVCs)] possessed the lowest rates of Na(+) uptake and that influx was unchanged during either bafilomycin (10 nmoll(-1)) treatment or internal acidification with addition of proprionic acid (10 mmoll(-1)). Mitochondria-rich (MR) cells that migrated to the 1.05-1.09 g ml(-1) interface of the Percoll gradient demonstrated acidification-activated bafilomycin and phenamil-sensitive Na(+) influx. Further separation of the MR fraction into PNA(+) and PNA(-) fractions using magnetic separation demonstrated that only the PNA(-) cells (alpha-MR cells) demonstrated phenamil-and bafilomycin-sensitive acid-activated (22)Na(+) uptake. We confirm the coupling of a V-type H(+)-ATPase with phenamil-sensitive Na(+) uptake activity and conclude that high-density alpha-MR cells function in branchial Na(+) uptake in freshwater fish.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 teacher head, 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".