Ca <sub>V</sub> 2.1 P/Q-type calcium channel alternative splicing affects the functional impact of familial hemiplegic migraine mutations: Implications for calcium channelopathies
Bibliographic record
Abstract
Alternative splicing is known to generate multiple functionally distinct calcium channel variants that exhibit unique spatial and temporal expression patterns. In humans, naturally occurring mutations in genes encoding calcium channel pore forming alpha(1)-subunits are associated with several severe hereditary disorders although it remains to be described whether there exists any relationship between the physiological effects of these mutations and calcium channel splice variation. In the present study, we systematically compare the biophysical effects of three type-1 familial hemiplegic migraine (FHM-1) mutations in two predominant splice variants of the neuronal Ca(V)2.1 P/Q-type channel. All three FHM-1 mutations cause a greater hyperpolarizing shift in voltage-dependent properties when expressed in the short carboxyl terminus variant (Ca(V)2.1 Delta47) compared to the long variant (Ca(V)2.1 +47). Furthermore, the FHM-1 mutations also exhibit differential splice variant-specific effects on recovery from inactivation and accumulation of inactivation during tonic and burst firing. Our findings provide important insight concerning the role of calcium channel alternatively spliced variants and the molecular pathophysiology of FHM-1 and potentially of other calcium channelopathies.
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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 | 0.000 |
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".