Neurexin‐1 is required for synapse formation and larvae associative learning in <i>Drosophila</i>
Bibliographic record
Abstract
Neurexins are highly polymorphic cell-surface adhesive molecules in neurons. In cultured mammalian cell system, they were found to be involved in synaptogenesis. Here, we report for the first time that Drosophila neurexin is required for synapse formation and associative learning in larvae. Drosophila genome encodes a single functional neurexin (CG7050; Neurexin-1 or Nrx-1), which is a homolog of vertebrate alpha-neurexin. Neurexin-1 is expressed in central nervous system and highly enriched in synaptic regions of the ventral ganglion and brain. Neurexin-1 null mutants are viable and fertile, but have shortened lifespan. The synapse number is decreased in central nervous system in Neurexin-1 null mutants. In addition, Neurexin-1 null mutants exhibit associative learning defect in larvae.
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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) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".