Induction of GABAergic Postsynaptic Differentiation by α-Neurexins
Bibliographic record
Abstract
Beta-neurexin and neuroligin cell adhesion molecules contribute to synapse development in the brain. The longer alpha-neurexins function at both glutamate and gamma-aminobutyric acid (GABA) synapses in coupling to presynaptic calcium channels. Binding of alpha-neurexins to neuroligins was recently reported, but the role of the alpha-neurexins in synapse development has not been well studied. Here we report that in COS cell neuron coculture assays, all three alpha-neurexins induce clustering of the GABAergic postsynaptic scaffolding protein gephyrin and neuroligin 2 but not of the glutamatergic postsynaptic scaffolding protein PSD-95 or neuroligin 1/3/4. alpha-Neurexins also induce clustering of the GABA(A) receptor gamma2 subunit. This synapse promoting activity of alpha-neurexins is mediated by the sixth LNS (laminin neurexin sex hormone-binding protein) domain and negatively modulated by upstream sequences. Although inserts at splice site 4 (S4) in beta-neurexins promote greater clustering activity for GABA than glutamate proteins in coculture assay, alpha-neurexin-specific sequences confer complete specificity for GABA proteins. We further report a developmental increase in the ratio of -S4 to +S4 forms of neurexins correlating with an increase in glutamate relative to GABA synaptogenesis and activity regulation of splicing at S4. Thus, +S4 beta-neurexins and, even more selectively, alpha-neurexins may be mediators of GABAergic synaptic protein recruitment and stabilization.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| 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 teacher head, 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".