Functional and molecular characterization of the shark renal Na-K-Cl cotransporter: novel aspects
Bibliographic record
Abstract
The Na-K-Cl cotransporter isoform 1 (NKCC1) has been isolated from several species, including Squalus acanthias. A second kidney-specific isoform (NKCC2) has been cloned mainly from higher vertebrates. Here, we have isolated the S. acanthias NKCC2 and found that it is produced in at least four spliced variants (saNKCC2A, saNKCC2F, saNKCC2AF, and saNKCC2AFno8) of approximately 1,090 residues. Expression of these transcripts in Xenopus laevis oocytes revealed that only the A and F variants are functional and that they are more active after incubation in low-Cl or hyperosmolar media. Rates of activation after exposure to these media were exceptionally rapid, demonstrating for the first time that the NKCC2 itself represents an important site of regulation by Cl and that extracellular domains are involved. Another remarkable finding in this study was the failure to identify NKCC2B, a variant found in the kidney of higher vertebrates and expressed specifically in macula densa cells. This result, in conjunction with the fact that the shark kidney lacks a well-developed juxtaglomerular apparatus, suggests that the B exon evolved as a result of selective pressure (presumably by exon duplication) and that a restricted relationship exists between NKCC2B and macula densa.
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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".