Recent molecular advances in studies of the concentrative Na+-dependent nucleoside transporter (CNT) family: identification and characterization of novel human and mouse proteins (hCNT3 and mCNT3) broadly selective for purine and pyrimidine nucleosides (system cib)
Bibliographic record
Abstract
The human concentrative (Na+-linked) plasma membrane transport proteins hCNT1 and hCNT2, found primarily in specialized epithelia, are selective for pyrimidine nucleosides (system cit) and purine nucleosides (system cif), respectively. Both have orthologs in other mammalian species and belong to a gene family (CNT) that also includes members in lower vertebrates, insects, nematodes, pathogenic yeast and bacteria. The CNT transporter family also includes a newly identified human and mouse CNT3 transporter isoform. This paper reviews the studies of CNT transport proteins that led to the identification of hCNT3 and mCNT3, and gives an overview of the structural and functional properties of these latest CNT family members. hCNT3 and mCNT3 have primary structures that place them in a CNT subfamily separate from CNT1/2, transport a wide range of physiological pyrimidine and purine nucleosides and antineoplastic and antiviral nucleoside drugs (system cib), and exhibit a Na+:uridine coupling ratio of at least 2:1 (cf 1:1 for hCNT1/2). Cells and tissues containing hCNT3 transcripts include mammary gland, differentiated HL-60 cells, pancreas, bone marrow, trachea, liver, prostrate and regions of intestine, brain and heart. In HL-60 cells, hCNT3 is transcriptionally regulated by phorbol myristate (PMA). The hCNT3 gene, which contains an upstream PMA response element, mapped to 9q22.2 (cf chromosome 15 for hCNT1 and hCNT2).
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".