Identification of Genes Involved in Synaptogenesis Using a Fluorescent Active Zone Marker in<i>Caenorhabditis elegans</i>
Bibliographic record
Abstract
Active zones are presynaptic regions where synaptic vesicles fuse with plasma membrane to release neurotransmitters. Active zones are highly organized structurally and are functionally conserved among different species. Synapse defective-2 (SYD-2) family proteins regulate active zone morphology in Caenorhabditis elegans and Drosophila. Here, we demonstrate by immunoelectron microscopy that at C. elegans synapses, SYD-2 localizes strictly at active zones and can be used as an active zone marker when fused to green fluorescent protein (GFP). By driving expression of SYD-2::GFP fusion protein in GABAergic neurons, we are able to visualize discrete fluorescent puncta corresponding to active zones in living C. elegans. During development, the number of GABAergic synapses made by specific motoneurons increases only slightly from larvae to adult stages. In contrast, the number of SYD-2::GFP puncta doubles, suggesting that individual synapses accommodate the increasing size of their synaptic targets mainly by incorporating more active zone materials. Furthermore, we used this marker to perform a genetic screen to identify genes involved in the development of active zones. We recovered 16 mutants with altered SYD-2::GFP expression, including alleles of five genes that have been implicated previously in synapse formation or nervous-system development. Mapping of 11 additional mutants suggests that they may represent novel genes involved in active zone formation.
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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".