Equilibrative Nucleoside Transporter 2 Regulates Associative Learning and Synaptic Function in<i>Drosophila</i>
Bibliographic record
Abstract
Nucleoside transporters are evolutionarily conserved proteins that are essential for normal cellular function. In the present study, we examined the role of equilibrative nucleoside transporter 2 (ent2) in Drosophila. Null mutants of ent2 are lethal during late larval/early pupal stages, indicating that ent2 is essential for normal development. Hypomorphic mutant alleles of ent2, however, are viable and exhibit reduced associative learning. We additionally used RNA interference to knock down ent2 expression in specific regions of the CNS and show that ent2 is required in the alpha/beta lobes of the mushroom bodies and the antennal lobes. To determine whether the observed behavioral defects are attributable to defects in synaptic transmission, we examined transmitter release at the larval neuromuscular junction (NMJ). Excitatory junction potentials were significantly elevated in ent2 mutants, whereas paired-pulse plasticity was reduced. We also observed an increase in stimulus dependent calcium influx in the presynaptic terminal. The defects observed in calcium influx and transmitter release probability at the NMJ were rescued by introducing an adenosine receptor mutant allele (AdoR(1)) into the ent2 mutant background. The results of the present study provide the first evidence of a role for ent2 function in Drosophila and suggest that the observed defects in associative learning and synaptic function may be attributable to changes in adenosine receptor activation.
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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".