Minimal Domain Requirement for Cation Transport by the Potassium-dependent Na/Ca-K Exchanger
Bibliographic record
Abstract
The retinal rod Na/Ca-K exchanger (NCKX) is a unique calcium extrusion protein utilizing both inward sodium gradient and outward potassium gradient. Three mammalian rod NCKX cDNAs have been cloned to date, but quantitative analysis of NCKX function in heterologous systems has proven difficult. Here, we describe a simple system for quantitative analysis of NCKX function; stable transformation of cultured insect cells with the novel pEA1/153A vector containing NCKX cDNAs was combined with measurements of potassium-dependent (45)Ca uptake in sodium-loaded cells. We carried out structure-function studies on NCKX with the following results: 1) two-thirds of the full-length sequence of bovine NCKX could be deleted without affecting potassium-dependent calcium transport and without affecting key properties of the potassium binding site; 2) the affinity of NCKX for potassium was about 10-fold greater in choline medium when compared with lithium medium; this shift was observed in rod outer segments or in cells expressing full-length rod NCKX, the above deletion mutant, or a distantly related NCKX paralog cloned from Caenorhabditis elegans. We conclude that the potassium binding site is highly conserved among members of the NCKX family and is formed by residues located within the two sets of transmembrane spanning segments in the NCKX sequence.
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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".