Developmental change in GABA<sub>A</sub> receptor desensitization kinetics and its role in synapse function in rat cortical neurons
Bibliographic record
Abstract
We examined the maturation of GABAA receptor synapses in cortical pyramidal neurons cultured from embryonic rats. The decay kinetics of GABAA receptor-mediated miniature postsynaptic currents (mPSCs) were compared with those of responses evoked by GABA in excised membrane patches. Fast perfusion of 1 or 10 mM GABA on membrane patches evoked currents with different desensitizing time courses in young and old neurons. For neurons older than 4 days in vitro (DIV), GABAA currents had a fast component of desensitization (median approximately 3 ms) seldom seen in patches from younger neurons. In contrast, mPSCs exhibited a substantial fast component of decay at 2-4 DIV that became more prominent with further development although the median value of its time constant remained unchanged. The selective alpha3 subunit positive modulator SB-205384 had no effect on mPSCs at any time in vitro but potentiated extrasynaptic activity. This suggests that synapse maturation does not proceed by a gradual exchange of early embryonic GABAA receptor subforms for adult forms. At all ages, the kinetic properties of mPSCs were heterogeneous. This heterogeneity extended to the level of mPSCs from single neurons and may be a normal aspect of synaptic functioning. These results suggest that inhibitory synapses in developing neurons are capable of selectively capturing GABAA receptors having fast desensitization kinetics. This functional preference probably reflects the developmental turning point from an inwardly looking trophic capacity of embryonic GABAA receptors to a role concerned with information processing.
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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".