Biophysical Properties of Human Na<sub>v</sub>1.7 Splice Variants and Their Regulation by Protein Kinase A
Bibliographic record
Abstract
The sodium channel Na(v)1.7 is preferentially expressed in nociceptive neurons and is believed to play a crucial role in pain sensation. Four alternative splice variants are expressed in human dorsal root ganglion neurons, two of which differ in exon 5 by two amino acids in the S3 segment of domain I (exons 5A and 5N). Two others differ in exon 11 by the presence (11L) or absence (11S) of an 11 amino acid sequence in the loop between domains I and II, an important region for PKA regulation. In the present study, we used the whole cell configuration of the patch-clamp technique to investigate the biophysical properties and 8-bromo-cyclic adenosine monophosphate (8Br-cAMP) modulation of these splice variants expressed in tsA201 cells in the presence of the beta(1)-subunit. The alternative splicing of Na(v)1.7 had no effect on most of the biophysical properties of this channel, including activation, inactivation, and recovery from inactivation. However, development of inactivation experiments revealed that the isoform containing exon 5A had slower kinetics of inactivation for negative potentials than that of the variant containing exon 5N. This difference was associated with higher ramp current amplitudes for isoforms containing exon 5A. Moreover, 8Br-cAMP-mediated phosphorylation induced a negative shift of the activation curve of variants containing exon 11S, whereas inactivation properties were unchanged. Isoforms with exon 11L were not modulated by 8Br-cAMP-induced phosphorylation. We conclude that alternative splicing of human Na(v)1.7 can specifically modulate the biophysical properties and cAMP-mediated regulation of this channel. Changing the proportions of these variants may thus influence neuronal excitability and pain sensation.
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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".