Crucial Role of Postsynaptic Syntaxin 4 in Mediating Basal Neurotransmission and Synaptic Plasticity in Hippocampal CA1 Neurons
Bibliographic record
Abstract
Trafficking of neurotransmitter receptors on postsynaptic membranes is critical for basal neurotransmission and synaptic plasticity, yet the underlying mechanisms remain elusive. Here, we investigated the role of syntaxin 4 in postsynaptic hippocampal CA1 neurons by analyzing conditional knockout (syntaxin 4 cKO) mice. We show that syntaxin 4 cKO resulted in reduction of basal neurotransmission without changes in paired-pulse ratios. Both α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid (AMPA) and N-methyl-d-aspartic acid (NMDA) receptor-mediated charge transfers were diminished. Patch-clamp experiments revealed that amplitudes, but not frequencies, of spontaneous excitatory postsynaptic currents are reduced. Syntaxin 4 knockout (KO) caused drastic reduction in expression of surface α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid (AMPA) and N-methyl-d-aspartic acid (NMDA) receptors in cultured hippocampal neurons. Furthermore, cKO caused defects in theta-burst stimulation induced long-term potentiation and spatial learning as assessed by a water maze task, indicating that synaptic plasticity was altered. Our data reveal a crucial role of syntaxin 4 in trafficking of ionotropic glutamate receptors that are essential for basal neurotransmission, synaptic plasticity, and spatial memory.
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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 | 0.001 |
| 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".