Investigation of the juxtamembrane region of neuronal-Synaptobrevin in synaptic transmission at the<i>Drosophila</i>neuromuscular junction
Bibliographic record
Abstract
In this study, the juxtamembrane region of the Drosophila SNARE protein neuronal-Synaptobrevin (n-Syb) was tested for its role in synaptic transmission. A transgenic approach was used to express n-Syb mutant genes. The transgenes carried engineered point mutations that alter the amino acid sequence of the conserved tryptophan residues in the juxtamembrane sequence. Such transgenes were expressed in an n-syb hypomorphic background, which produces little endogenous protein. On their own, hypomorphic flies displayed severe motor inhibition, limited life span, reduced evoked junctional potentials (EJPs), decreased synchronicity in EJP time to peak, and potentiation of EJPs with 10-Hz stimulation. All of these deficits were restored to wild-type levels with the expression of wild-type transgenic n-syb, regulated by the endogenous promoter (n-syb(WT)). We created transgenic mutants with one additional tryptophan (n-syb(WW)) or one less tryptophan (n-syb(AA)) than the wild-type sequence. While n-syb(WW) resembled n-syb(WT) in all variables listed, n-syb(AA) exhibited decreased EJP amplitude, synchronicity, and quantal content. To determine whether the n-syb juxtamembrane region is important for transduction of force arising from SNARE complex assembly during membrane fusion, we introduced short 6-amino acid (n-syb(L6)) or long 24-amino acid (n-syb(L24)) flexible linkers into the n-syb transgene. We observed a reduced EJP amplitude in n-syb(L6) but not n-syb(L24), while both linker mutants showed a decreased quantal content and an effect on the readily releasable and recycling vesicle pools. In conclusion, mutation of the juxtamembrane region of n-syb deleteriously affected synaptic transmission at the Drosophila neuromuscular junction.
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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) | 0.000 | 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".