PSD‐95 regulates synaptic transmission and plasticity in rat cerebral cortex
Bibliographic record
Abstract
PSD-95 is one of the most abundant proteins found in the postsynaptic density of excitatory synapses. However, the precise functional role played by PSD-95 in regulating synaptic transmission and plasticity remains undefined. To address this issue, we have overexpressed PSD-95 in cortical pyramidal neurons in organotypic brain slices using particle-mediated gene transfer and assessed the consequences on synaptic transmission and plasticity. The AMPA receptor/NMDA receptor (AMPAR/NMDAR) ratio of evoked EPSCs recorded at +40 mV was greater in PSD-95-transfected pyramidal neurons than in controls. This difference could not be accounted for by a change in rectification of AMPAR-mediated synaptic currents since the current-voltage curves obtained in controls and in PSD-95-transfected neurons were indistinguishable. However, the amplitude of AMPAR-mediated evoked EPSCs was larger in PSD-95-transfected neurons compared to matched controls. Paired-pulse ratio analysis suggested that overexpression of PSD-95 did not alter presynaptic release probability. Transfection of PSD-95 was further accompanied by an increase in the frequency, but not amplitude, of AMPAR-mediated mEPSCs. Together, these results indicate that transfection of PSD-95 increased AMPAR-mediated synaptic transmission. Furthermore, they suggest that this phenomenon reflects an increased number of synapses expressing AMPARs rather than an increased number or function of these receptors at individual synapses. We tested the consequences of these changes on synaptic plasticity and found that PSD-95 transfection greatly enhanced the probability of observing long-term depression. These results thus identify a physiological role for PSD-95 and demonstrate that this protein can play a decisive role in controlling synaptic strength and activity-dependent synaptic plasticity.
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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 | 0.001 |
| 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".