Isolation and characterization of mitochondria-rich cell types from the gill of freshwater rainbow trout
Bibliographic record
Abstract
A magnetic cell separation technique (MACS) was developed for isolating and characterizing peanut lectin agglutinin positive (PNA(+)) cells from rainbow trout gills. Percoll density separated mitochondria-rich (MR) cells were serially labeled with PNA-FITC and an anti-FITC antibody covalently coupled to a 50-nm iron particle and then applied to a magnetic column. PNA(+) MR cells were enriched to >95% purity. Transmission electron microscopy analysis of both the PNA(+) and PNA negative (PNA(-)) fraction showed that PNA binds to MR chloride cells while the PNA(-) cell fraction is comprised of MR cells with features characteristic of pavement cells. Western blotting demonstrated that both PNA(+) and PNA(-) fractions had high levels of Na(+)-K(+)-ATPase and Sco1 expression; however, relative expression of H(+)-ATPase in PNA(+) and PNA(-) cells demonstrated that untreated fish had twofold higher H(+)-ATPase levels in PNA(-) cells relative to the PNA(+) cells. Furthermore, hypercapnic acidosis significantly increased the relative H(+)-ATPase expression on PNA(-) cells only, whereas metabolic alkalosis had no significant effect.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| 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".