Bibliographic record
Abstract
Communication between nerve cells in the brain occurs primarily through specialized junctions called synapses. Recently, many details of synaptic transmission have emerged. The identities of specific proteins important for synaptic vesicle release have now been established. We have investigated three synaptic proteins, VAMP (vesicle associated membrane protein; also called synaptobrevin), syntaxin, and SNAP25 (synaptosomal associated protein of 25kDa) as possible targets in the dopamine-mediated modulation of synaptic function in rat striatal slices. These three proteins form a SNARE (soluble N-ethylmalemide-sensitive factor attachment protein receptors) core complex that is known to be essential for synaptic transmission. Although it is envisioned that the SNAREs undergo dynamic and cyclic interactions to elicit synaptic vesicle release, their precise functions in neurotransmission remains unknown. We have examined SNARE complexes in intact rat striatal slices. Cellular proteins were solubilized, separated electrophoretically by SDS-PAGE, and then identified immunologically. Application of dopamine to striatal slices results in SNAREs favoring the SNARE core complex, a complex which forms spontaneously in the absence of crosslinking agents, rather than the monomer form. In addition, rapid crosslinking of dopamine-treated striatal slices demonstrates that the SNARE complex is increased 4 fold in dopamine treated striatal slices compared with control slices. Haloperidol blocked the dopamine-induced change in the core complex. These results suggest that changes in the activities of SNAREs may be involved in the underlying cellular mechanisms(s) of dopamine-regulated synaptic plasticity of the striatum.
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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".