Abstract 174: Biophysical Basis of Protein Kinase C Inhibition of the Novel alpha1D Calcium Channel
Bibliographic record
Abstract
The recently reported α 1D calcium channel in the heart is known to be regulated by protein kinase C (PKC) at the whole cell level and has been implicated in atrial fibrillation. The biophysical basis of this regulation at the single channel level is not known. Therefore, the effect of PKC activation was studied on α 1D calcium channel expressed in tsA201 cells using cell-attached method. Unitary currents were recorded in the presence of 70 mM Ba 2+ as the charge carrier. Unitary currents were evoked by 500 ms depolarizing pulses from a holding potential of −80 mV every 0.5 Hz. Under basal condition, channel activity was rare and infrequent, however Bay K 8644 (1 μM) induced channel openings with a conductance of 22.3 pS. Single channel analysis of open and closed time distributions were best fitted with a single exponential. PKC activation by PMA (10 nM), a phorbol ester derivative, resulted in a decrease in open probability and increase in closed-time without any significant effect on the conductance of the α 1D calcium channel. This is consistent with a decreased entry of α 1D Ca channel into open states in the presence of PMA. These data show, for the fist time, 1) the α 1D calcium channel activity at the single channel level and 2) the biophysical basis of by which PKC activation inhibits the α 1D calcium channel. The shortening of the open-time and the lengthening of the closed-time constants and the increase in blank sweeps may explain the inhibition of the α 1D Ca-channel activity and the reduction in whole-cell α 1D Ca current previously reported. Altogether, these data are relevant to the understanding of the patho-physiology of α 1D calcium channel and its regulation by the autonomics.
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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) | 0.003 | 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".