Disruption of synaptic development and ultrastructure by <i>Drosophila</i> NSF2 alleles
Bibliographic record
Abstract
First identified as the cytosolic component that restored intra-Golgi vesicle trafficking following N-ethylmaleimide poisoning, N-ethylmaleimide-sensitive factor (NSF) was later shown to be an ATPase that participates in many vesicular trafficking events. Current models hold that NSF disassembles postfusion SNARE protein complexes, allowing them to participate in further rounds of vesicle cycling. To further understand the role of NSF in neural function, we have embarked on genetic studies of Drosophila NSF2. In one approach, we employed transgenic flies that carry a dominant-negative form of NSF2 (NSF(E/Q)). When expressed in neurons this construct suppresses synaptic transmission, increases activity-dependent fatigue of transmitter release, and reduces the functional size of the pool of vesicles available for release. Unexpectedly, it also induced pronounced overgrowth of the neuromuscular junction. The aim of the present study was twofold. First, we sought to determine if the neuromuscular junction (NMJ) overgrowth phenotype is present throughout development. Second, we examined NSF2(E/Q) larval synapses by serial section electron microscopy in order to determine if there are ultrastructural correlates to the observed physiological and morphological phenotypes. We indeed found that the NMJ overgrowth phenotype is present at the embryonic neuromuscular synapse. Likewise, at the ultrastructural level, we found considerable alterations in the number and distribution of synapses and active zones, whereas the number of vesicles present was not changed. From these data we conclude that a primary phenotype of the NSF2(E/Q) transgene is a developmental one and that alteration in the number and distribution of active zones contributes to the NSF2(E/Q) physiological phenotype.
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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".