Functionally distinct dopamine and octopamine transporters in the CNS of the cabbage looper moth*
Bibliographic record
Abstract
A cDNA was cloned from the cabbage looper Trichoplusia ni based on similarity to other cloned dopamine transporters (DATs). The total nucleotide sequence is 3.8 kb in length and contains an open reading frame for a protein of 612 amino acids. The predicted moth DAT protein (TrnDAT) has greatest amino acid sequence identity with Drosophila melanogasterDAT (73%) and Caenorhabditis elegansDAT (51%). TrnDAT shares only 45% amino acid sequence identity with an octopamine transporter (TrnOAT) cloned recently from this moth. The functional properties of TrnDAT and TrnOAT were compared through transient heterologous expression in Sf9 cells. Both transporters have similar transport affinities for DA (Km 2.43 and 2.16 micro m, respectively). However, the competitive substrates octopamine and tyramine are more potent blockers of [3H]dopamine (DA) uptake by TrnOAT than by TrnDAT. D-Amphetamine is a strong inhibitor and l-norepinephrine a weak inhibitor of both transporters. TrnDAT-mediated DA uptake is approximately 100-fold more sensitive to selective blockers of vertebrate transporters of dopamine and norepinephrine, such as nisoxetine, nomifensine and dibenzazepine antidepressants, than TrnOAT-mediated DA uptake. TrnOAT is 10-fold less sensitive to cocaine than TrnDAT. None of the 15 monoamine uptake blockers tested was TrnOAT-selective. In situ hybridization shows that TrnDAT and TrnOAT transcripts are expressed by different sets of neurons in caterpillar brain and ventral nerve cord. These results show that the caterpillar CNS contains both a phenolamine transporter and a catecholamine transporter whereas in the three invertebrates whose genomes have been completely sequenced only a dopamine-selective transporter is found.
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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".