Protein kinase a regulation of T-type Ca2+ channels in rat cerebral arterial smooth muscle
Bibliographic record
Abstract
Recent investigations have identified that T-type Ca(2+) channels (CaV3.x) are expressed in rat cerebral arterial smooth muscle. In the study reported here, we isolated the T-type conductance, differentiated the current into the CaV3.1/CaV3.2 subtypes and determined whether they are subject to protein kinase regulation. Using patch clamp electrophysiology, whole-cell Ba(2+) current was monitored and initially subdivided into nifedipine-sensitive and -insensitive components. The latter conductance was abolished by T-type Ca(2+) channel blockers and was faster with leftward shifted activation/inactivation properties, reminiscent of a T-type channel. Approximately 60% of this T-type conductance was blocked by 50 µM Ni(2+), a concentration that selectively interferes with CaV3.2 channels. Subsequent work revealed that the whole-cell T-type conductance was subject to protein kinase A (PKA) modulation. Specifically, positive PKA modulators (db-cAMP, forskolin, isoproterenol) suppressed T-type currents and evoked a hyperpolarized shift in steady-state inactivation. Blocking PKA (with KT5720) masked this suppression without altering the basal T-type conductance. A similar effect was observed with stHt31, a peptide inhibitor of A-kinase anchoring proteins. A final set of experiments revealed that PKA-induced suppression targeted the CaV3.2 subtype. In summary, this study revealed that a T-type Ca(2+) channel conductance can be isolated in arterial smooth muscle, and differentiated into CaV3.1 and CaV3.2 components. It also showed that vasodilatory signaling cascades inhibit this conductance by targeting CaV3.2. Such targeting would impact Ca(2+) dynamics and consequent tone regulation in the cerebral circulation.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".