<i>nbce1</i>and<i>H<sup>+</sup>–atpase</i>mRNA expression are stimulated in the mitochondria-rich cells of freshwater-acclimating Japanese eels (<i>Anguilla japonica</i>)
Bibliographic record
Abstract
Mitochondria-rich cells (MRCs) of fish gills are well known for their roles in Na+and Cl–excretion in seawater environment. However, the level of understanding of their roles in fresh water is limited. In this study, we used the Percoll gradient technique to isolate gill MRCs from Japanese eels ( Anguilla japonica Temminck and Schlegel, 1846) and measured the mRNA expression of two selected ion transporters, which were partially cloned in our laboratory: sodium bicarbonate co-transporter 1 (nbce1) and vacuolar proton pumps (H+–atpase). In addition, protein expressions of H+–ATPase and NBCe1 in whole gill were studied using Western blotting. The data indicated that both NBCe1 and H+–ATPase mRNA and protein expressions increased after seawater to freshwater transfer. This is the first report of changes in mRNA expression for these two ion transporters in MRCs of Japanese eels during seawater to freshwater transfer, confirming the roles of MRCs in osmoregulation in fresh water.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".