Molecular Mechanisms of Cation Transport by the Renal Na+-K+-Cl- Cotransporter
Bibliographic record
Abstract
Two variants of the renal Na(+)-K(+)-Cl(-) cotransporter (NKCC2), called NKCC2A and NKCC2F, display marked differences in Na(+), Rb(+), and Cl(-) affinities, yet are identical to one another except for a 23-residue membrane-associated domain that is derived from alternatively spliced exons. The proximal portion of these exons is predicted to encode the second transmembrane domain (tm2) in the form of an alpha-helix, and the distal portion, part of the following connecting segment (cs1a). In recent studies, we have taken advantage of the A-F differences in kinetic behavior to determine which regions in tm2-cs1a are involved in ion transport. Functional characterizations of chimeras in which tm2 or cs1a were interchanged between the variants showed that both regions are important in specifying ion affinities, but did not allow delineating the contribution of individual residues. Here, we have extended these structure-function analyses by studying additional mutants in which variant residues between A and F were interchanged individually in the tm2-cs1a region (amino acid number 216, 220, 223, 229, or 233 in NKCC2). None of the substitutions were found to affect K(m (C1-)), suggesting that the affinity difference for anion transport is conveyed by a combination of variant residues in this domain. However, 2 substitutions in the tm2 of F were found to affect cation constants specifically; interestingly, one of these mutations (residue 216) only affected K(m (Rb+)) while the other (residue 220) only affected K(m (Na+)). We have thus identified two novel residues in NKCC2 that play a key role in cation transport. Because such residues should be adjacent to one another on the vertical axis of the tm2 alpha-helix, our results imply, furthermore, that the ion transport sites in NKCC2 could be physically linked.
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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".