Regulation of protein kinase C Apl II by serotonin receptors in <i>Aplysia</i>
Bibliographic record
Abstract
Serotonin (5-hydroxytryptamine, 5HT) is the neurotransmitter that mediates dishabituation in Aplysia. Serotonin mediates this behavioral change through the reversal of synaptic depression in sensory neurons (SNs). However, the 5HT receptors present in SNs and in particular, the receptor important for activation of protein kinase C (PKC) have not been fully identified. Using a recent genome assembly of Aplysia, we identified new receptors from the 5HT(2) , 5HT(4) , and 5HT(7) families. Using RT-PCR from isolated SNs, we found that three 5HT receptors, 5HT(1Apl(a)) , 5HT(2Apl) , and 5HT(7Apl) were expressed in SNs. These receptors were cloned and expressed in a heterologous system. In this system, 5HT(2Apl) could significantly translocate PKC Apl II in response to 5HT and this was blocked by pirenperone, a 5HT(2) receptor antagonist. Surprisingly, pirenperone did not block 5HT-mediated translocation of PKC Apl II in SNs, nor 5HT-mediated reversal of depression. Expression of 5HT(1Apl(a)) in SNs or genistein, an inhibitor of tyrosine kinases inhibited both PKC translocation and reversal of depression. These results suggest a non-canonical mechanism for the translocation of PKC Apl II in SNs.
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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 | 0.001 |
| 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".