Scanning Mutagenesis of the Alpha Repeats and of the Transmembrane Acidic Residues of the Human Retinal Cone Na/Ca-K Exchanger
Bibliographic record
Abstract
The Na/Ca-K exchanger (NCKX) utilizes the inward sodium gradient and outward potassium gradient for Ca(2+) extrusion; two distinct NCKX isoforms are expressed in the outer segments of retinal rod (NCKX1) and cone (NCKX2) photoreceptors, respectively, where NCKX extrudes Ca(2+) that enters photoreceptors via the cGMP-gated channels. We carried out the first systematic NCKX mutagenesis study in which 96 residues were mutated in the human cone NCKX2 cDNA, and functional consequences of these mutations were measured; the residues selected for mutagenesis are conserved between rod and cone NCKX, the large majority are also conserved in NCKX paralogs found in lower organisms, and finally, they include the few residues conserved between members of the NCKX and members of the NCX (potassium-independent Na/Ca exchange) gene families. Twenty-five residues were identified for which mutagenesis reduced NCKX function to <20% of wild-type cone NCKX2 activity, while protein expression and plasma membrane targeting were not affected. Three classes of residues were found to be most sensitive toward mutagenesis: acidic (glutamate/aspartate) residues, polar (serines/threonine) residues, and glycine residues. These results are discussed with respect to residues that may contribute to the NCKX cation binding site(s).
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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) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".