Specific Mutations in Transmembrane Helix 8 of Human Concentrative Na<sup>+</sup>/Nucleoside Cotransporter hCNT1 Affect Permeant Selectivity and Cation Coupling
Bibliographic record
Abstract
The Na+/nucleoside cotransporters hCNT1 (650 residues) and hCNT2 (658 residues) are 72% identical in amino acid sequence and contain 13 putative transmembrane helices (TMs). Both transport uridine and adenosine but are otherwise selective for pyrimidine (system cit) and purine (system cif) nucleosides, respectively. Previously, we used site-directed mutagenesis and functional expression in Xenopus oocytes to identify two pairs of adjacent residues in TMs 7 and 8 of hCNT1 (Ser319-Gln320 and Ser353-Leu354) that, when converted to the corresponding residues in hCNT2 (Gly-Met and Thr-Val, respectively), changed the permeant selectivity of the transporter from cit to cif. We now report an investigation of the effects of corresponding mutations in TM 8 alone and demonstrate unique S353T- and L354V-induced changes in nucleoside specificity and cation coupling, respectively. hCNT1 mutation S353T produced a profound decrease in cytidine transport efficiency (Vmax/Km ratio) and, in combination with L354V (S353T/L354V), resulted in a novel uridine-preferring transport phenotype. In addition, the L354V mutation markedly increased the apparent affinity of hCNT1 for Na+ and Li+. Both hCNT1 TM 8 residues exhibited uridine-protectable inhibition by p-chloromercuribenzene sulfonate when converted to Cys, suggesting that they occupy positions within or closely adjacent to a common cation/nucleoside translocation pore.
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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".