Protein Kinase G Inhibits T‐type Ca <sup>2+</sup> Channels in Rat Cerebral Arteries
Bibliographic record
Abstract
In rat cerebral arteries, T‐type Ca 2+ channels are suppressed by protein kinase A (PKA) signaling. In this study, we examine whether protein kinase G (PKG), another key vasodilatory pathway, exerts a similar or distinctive influence on this conductance. Using patch clamp electrophysiology and cerebral arterial smooth muscle cells from rat, we monitored an inward Ba 2+ current that was divisible into nifedipine‐sensitive and –insensitive components. The nifedipine‐insensitive conductance displayed properties reminiscent of T‐type Ca 2+ channels; faster activation and steady state inactivation particularly at hyperpolarized potentials. Intriguingly, agents that target key PKG signaling proteins altered T‐type Ca 2+ channel activity. In particular, activators of PKG signaling (db‐cGMP, Na nitroprusside, SNAP) suppressed T‐type currents and evoked a hyperpolarized shift in steady state inactivation. PKG inhibitors (KT5823, ODQ) masked this suppression while having no effect on basal T‐type activity. In contrast, PKG manipulations had no influence on the nifedipine‐sensitive L‐type conductance. Cumulatively, our findings support the emerging view that T‐type Ca 2+ channels are a key regulatory target of vasodilatory signaling pathways (i.e. PKG and PKA).
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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".