A robust expression system reveals distinct gating mechanisms and calmodulin regulation of Na <sub>V</sub> 1.9 channels
Bibliographic record
Abstract
Na V 1.9 is a voltage-gated Na + channel subtype with unique gating properties that are poorly understood, partly due to the lack of reliable heterologous expression systems. Here, we present a transient expression protocol that produces robust mouse Na V 1.9 currents, enabling direct electrophysiological comparisons with native dorsal root ganglion neurons. To further understand the low current density observed in human Na V 1.9, we created chimeras with Na V 1.5 and identified a role for the C-tail—specifically the IQ motif and EF-hand—in regulating current densities, likely due to a weak affinity for calmodulin. Isothermal titration calorimetry experiments indicated that, unlike other Na V channel subtypes, calmodulin binding to the C-tail is likely too weak to occur under physiological conditions. Markedly, the pre-IQ region did not influence channel expression but was responsible for conferring the characteristic depolarized voltage dependency of inactivation of Na V 1.9. Our findings provide insights into the unique gating mechanisms of Na V 1.9 and demonstrate the robustness of this platform for structure-function studies.
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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".