Identification and functional characterization of variants in human concentrative nucleoside transporter 3, hCNT3 (SLC28A3), arising from single nucleotide polymorphisms in coding regions of the hCNT3 gene
Bibliographic record
Abstract
INTRODUCTION: Human concentrative nucleoside transporter 3, hCNT3 (SLC28A3), which mediates transport of purine and pyrimidine nucleosides and a variety of antiviral and anticancer nucleoside drugs, was investigated to determine if there are single nucleotide polymorphisms in the coding regions of the hCNT3 gene. METHODS AND RESULTS: Ninety-six DNA samples from Caucasians (Coriell Panel) were sequenced and sixteen variants in exons and flanking intronic regions were identified, of which five were coding variants; three of these were non-synonymous (S5N, L131F, Y513F) and were further investigated for functional alterations of the resulting recombinant proteins in Saccharomyces cerevisiae and Xenopus laevis oocytes. In yeast, immunostaining and fluorescence quantitation of the reference (wild-type) and variant CNT3 proteins showed similar levels of expression. Kinetic studies were undertaken in yeast with a high through-put semi-automated assay process; reference hCNT3 exhibited Km values of 1.7+/-0.3, 3.6+/-1.3, 2.2+/-0.7, and 2.1+/-0.6 muM and Vmax values of 1402+/-286, 1310+/-113, 1020+/-44, and 1740+/-114 pmol/mg/min, respectively, for uridine, cytidine, adenosine and inosine. Similar Km and Vmax values were obtained for the three variant proteins assayed in yeast under identical conditions. All of the characterized hCNT3 variants produced in oocytes retained sodium and proton dependence of uridine transport based on measurements of radioisotope flux and two-electrode voltage-clamp studies. CONCLUSION: These results suggested a high degree of conservation of function for hCNT3 in the Caucasian population.
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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".