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 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".