Functional Consequences of the Loss of High Affinity Agonist Binding to γ-Aminobutyric Acid Type A Receptors
Bibliographic record
Abstract
We reported previously that tyrosine 62 of the beta2 subunit of the gamma-aminobutyric acid, type A (GABA(A)) receptor is an important determinant of high affinity agonist binding and that recombinant alpha1beta2gamma2(L) receptors carrying the Y62S mutation lack measurable high affinity sites for [3H]muscimol. We have now examined the effects of disrupting these sites on the macroscopic desensitization properties of receptors expressed in Xenopus oocytes. Desensitization was measured by the ability of low concentrations of bath-perfused agonist to reduce the current responses elicited by subsequent challenges with saturating concentrations of GABA. Wild-type receptors were desensitized by pre-perfused muscimol with an IC50 approximately 0.7 microm, which correlates well with the lower affinity sites for this agonist that are measured in direct binding studies. Receptors carrying the beta2 Y62S and Y62F mutations desensitized at slightly higher (2-7-fold) agonist concentrations. However, at low perfusate concentrations, the Y62S-containing receptor recovered from the desensitized state even in the continued presence of agonist. The characteristics of desensitization in the wild-type and mutant receptors lead us to suggest that the major role of the high affinity agonist-binding site(s) of the GABA(A) receptor is not to induce desensitization but rather to stabilize the desensitized state once it has been formed.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".