Genomic analysis of nucleoside transporters in Diptera and functional characterization of<i>DmENT2</i>, a Drosophila equilibrative nucleoside transporter
Bibliographic record
Abstract
The recent completion of genome sequencing projects in a number of eukaryotes allows comparative analysis of orthologs, which can aid in identifying evolutionary constraints on protein structure and function. Nucleoside transporters (NTs) are present in a diverse array of organisms and previous studies have suggested that there is low protein sequence similarity but conserved structure in invertebrate and vertebrate NT orthologs. In addition, most taxa possess multiple NT isoforms but their respective roles in the physiology of the organism are not clear. To investigate the evolution of the structure and function of NTs, we have extended our previous studies by identifying NT orthologs in the Dipteran Anopheles gambiae and comparing these proteins to human and Drosophila melanogaster (Dm) NTs. In addition, we have functionally characterized DmENT2, one of three putative D. melanogaster ENTs that we have previously described. DmENT2 has broad substrate specificity, is insensitive to standard nucleoside transport inhibitors and is expressed in the digestive tract of late stage embryos based on in situ hybridization. DmENT1 and DmENT2 are expressed in most stages during development with the exception of early embryogenesis suggesting specific physiological roles for each isoform. These data represent the first complete genomic analysis of Dipteran NTs and the first report of the functional characterization of any Dipteran NT.
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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".