Munc18: A Presynaptic Transmitter Release Site N type (CaV2.2) Calcium Channel Interacting Protein
Bibliographic record
Abstract
Munc18 is a presynaptic protein that is essential for transmitter release. Recent studies have indicated that this protein is involved in secretory vesicle docking but its binding partners in this role remain a mystery. We demonstrate using the isolated calyx-type presynaptic terminal of the chick ciliary ganglion that staining for Munc18 colocalizes and covaries with that for transmitter release site N type calcium channels (CaV2.2), consistent with elements of a common release site complex. Biochemical analysis demonstrated that the protein coprecipitates with CaV2.2 from lysates of rat or chick brain, including its synaptic, long-splice variant; presynaptic terminal surface membrane proteins, and a cell line coexpressing Munc18 and CaV2.2. Munc18 bound with high affinity to the CaV2.2 II-III intracellular loop, low affinity to the I-II loop but not to other channel intracellular regions. Over-expression of Munc18 in dorsal root ganglion neurons did not affect CaV2.2 current amplitude or fast kinetics but siRNA-knockdown resulted in a negative shift in the steady state inactivation curve, an effect attributed to an indirect action via syntaxin 1. Recombinant Munc18 also coprecipitated strongly with the v-SNARE synaptotagmin, but only weakly with other SNAREs. Thus, the calcium channel may serve as a surface membrane platform anchoring a Munc18-containing bridge to synaptotagmin and the synaptic vesicle.
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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) | 0.002 | 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".