Role of AMPA receptor trafficking in NMDA receptor‐dependent synaptic plasticity in the rat lateral amygdala
Bibliographic record
Abstract
Stimulated exocytosis and endocytosis of post-synaptic alpha-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid subtype of glutamate receptors (AMPARs) have been proposed as primary mechanisms for the expression of hippocampal CA1 long-term potentiation (LTP) and long-term depression (LTD), respectively. LTP and LTD, the two most well characterized forms of synaptic plasticity, are thought to be important for learning and memory in behaving animals. Both LTP and LTD can also be induced in the lateral amygdala (LA), a critical structure involved in fear conditioning. However, the role of AMPAR trafficking in the expression of either LTP or LTD in this structure remains unclear. In this study, we show that NMDA receptor-dependent LTP and LTD can be reliably induced at the synapses of the auditory thalamic inputs to the LA in brain slices. The expression of LTP was prevented by post-synaptic blockade of vesicle-mediated exocytosis with application of a light chain of Clostridium tetanus neurotoxin and was associated with increased cell-surface AMPAR expression. In contrast, the expression of LTD was prevented by post-synaptic application of a glutamate receptor 2-derived interference peptide, which specifically blocks the stimulated clathrin-dependent endocytosis of AMPARs, and was correlated with a reduction in plasma membrane-surface expression of AMPARs. These results strongly suggest that regulated trafficking of post-synaptic AMPARs is also involved in the expression of LTP and LTD in the LA.
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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 | 0.001 |
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".