A transporter for phenolamine uptake in the arthropod CNS
Bibliographic record
Abstract
Biogenic monoamines play central roles in the nervous control of physiological processes in both vertebrates and invertebrates, each using a suite of neurotransmitters tailored through evolution. Among the ancillary proteins necessary for the deployment of monoamine transmitters are membrane-bound transporters that enable the reuptake of synaptically released transmitters. Transporters responsible for monoamine uptake include a novel transporter discovered in a pest insect, the cabbage looper Trichoplusia ni, which has high affinity for the phenolamines octopamine and tyramine. Sequence analysis suggests that this transporter has no direct ortholog in the sequenced genomes of model invertebrates. We report here a preliminary investigation into the true extent of the distribution of this type of transporter using RT-PCR with a set of degenerate primers selective for monoamine transporters on cDNAs made from the nervous systems of a range of arthropods. PCR products encoding the N-terminal region of orthologs of this transporter were detected in a variety of insect orders, as well as in a crustacean, but were not found in representatives of either the Diptera or the Hymenoptera. Thus, although this transporter is widely expressed in invertebrates, there are various invertebrates that appear to have evolved alternate ways of recycling phenolamine neurotransmitters released at the nerve synapse.
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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 | 0.001 |
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".