Mechanisms underlying the epileptic phenotype associated with the alpha-1 A322D mutation in the GABA-A receptor
Bibliographic record
Abstract
Epilepsy is a common neurological disorder with a strong hereditary component. A mutation in the α1 subunit (A322D) of the GABA-A receptor is responsible for juvenile myoclonic epilepsy in a large Canadian family. Previous work has identified that this mutation affects the function of GABA-A receptors, expressed in HEK293 cells. Here I have examined the underlying mechanisms of this dysfunction and shown that the mutation reduces the cell surface expression of the GABA-A receptor, promotes association with the endoplasmic reticulum chaperone calnexin, enhances degradation and accelerates the degradation rate of the subunits approximately 2.5 fold. I have also found that the mutation causes the receptor to be degraded by a lysosomal-dependent process. Furthermore, I find that the mutation results in receptors that are inserted into the plasma membrane but are more rapidly endocytosed by a dynamin and caveolin-dependent mechanism. These results suggest that the mutant subunit can form trafficking-competent receptors that have a shorter lifetime on the plasma membrane. Collectively, my results strongly implicate defects in both the biogenesis and trafficking of the GABA-A receptors, as part of the mechanistic basis for the epileptic phenotype observed.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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".