5‐HT stimulates eEF2 dephosphorylation in a rapamycin‐sensitive manner in <i>Aplysia</i> neurites
Bibliographic record
Abstract
In Aplysia, serotonin mediates behavioral sensitization by increasing the strength of the synapse between sensory and motor neurons, a process known as facilitation. The retention of long-term facilitation is blocked by rapamycin, an inhibitor of a specific translational pathway. One possible rapamycin-sensitive target is the increased translation of 5'-terminal oligopyrimidine mRNAs. These transcripts encode components of the translational machinery and have been proposed to be important for retention of long-term facilitation. We have cloned the 5'-terminal oligopyrimidine mRNA encoding eukaryotic elongation factor 2 and shown that serotonin increased its translation in synaptosomes. Another possible rapamycin-sensitive target is the inactivation of eukaryotic elongation factor 2 kinase. Eukaryotic elongation factor 2 kinase phosphorylates and inactivates eukaryotic elongation factor 2, blocking translational elongation. Serotonin application decreased eukaryotic elongation factor 2 phosphorylation in synaptosomes and in isolated neurites, and this was blocked by rapamycin. We propose a role for the rapamycin-sensitive pathway in neurons. Stimulation blocks translation by inducing calcium entry and phosphorylation of eukaryotic elongation factor 2. This block is reversed through activation of the rapamycin-sensitive system and dephosphorylation of eukaryotic elongation factor 2.
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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".