Delivering the goods: Activity-induced exocytosis and AMPA receptor insertion within a post-synaptic membrane compartment depends on syntaxin 4
Bibliographic record
Abstract
The activity-dependent strengthening of neural transmission at individual synapses has long been postulated to underlie learning and memory in the brain, and current wisdom strongly suggests that molecular modifications within both the pre- and post-synaptic nerve terminals contribute to this strengthening process (i.e. long-term potentiation or LTP). At excitatory, glutamatergic synapses, the dynamic insertion and retrieval of ionotropic glutamate receptors into and from the post-synaptic plasma membrane have been implicated in synaptic plasticity, however, the site(s) for these trafficking events and the molecules involved have not be clearly elucidated. Biochemical studies have identified SNARE proteins as critical mediators of membrane fusion events in many cell types, including neurons, and several bacterial toxins are known to interfere with neurotransmission by disrupting the function of membrane-bound SNARE proteins, such as VAMP and syntaxin. Using high resolution imaging techniques, the authors have characterized the molecular processes underlying activity-driven membrane fusion events within dendritic spines, tiny membrane protrusions only 1-2 microns in size. Their data demonstrate that syntaxin 4 functions as a key SNARE protein for the exocytic insertion of glutamate receptors and the membrane trafficking events contributing to synaptic plasticity.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.008 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 0.004 |
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".