Role of Angiotensin II Type 1A Receptor Phosphorylation, Phospholipase D, and Extracellular Calcium in Isoform-specific Protein Kinase C Membrane Translocation Responses
Bibliographic record
Abstract
The angiotensin II type 1A receptor (AT(1A)R) plays an important role in cardiovascular function and as such represents a primary target for therapeutic intervention. The AT(1A)R is coupled via G(q) to the activation of phospholipase C, the hydrolysis of phosphoinositides, release of calcium from intracellular stores, and the activation of protein kinase C (PKC). We show here that PKCbetaI and PKCbetaII exhibit different membrane translocation patterns in response to AT(1A)R agonist activation. Whereas PKCbetaII translocation to the membrane is transient, PKCbetaI displays additional translocation responses: persistent membrane localization and oscillations between the membrane and cytosol following agonist removal. The initial translocation of PKCbetaI requires the release of calcium from intracellular stores and the activation of phospholipase C, but persistent membrane localization is dependent upon extracellular calcium influx. The mutation of any of the three PKC phosphorylation consensus sites (Ser-331, Ser-338, and Ser-348) localized within the AT(1A)R C-tail significantly increases the probability that persistent increases in diacylglycerol levels and PKCbetaI translocation responses will be observed. The persistent increase in AT(1A)R-mediated diacylglycerol formation is mediated by the activation of phospholipase D. Although the persistent PKCbetaI membrane translocation response is absolutely dependent upon the PKC activity-dependent recruitment of an extracellular calcium current, it does not require the activation of phospholipase D. Taken together, we show that the patterning of AT(1A)R second messenger response patterns is regulated by heterologous desensitization and PKC isoform substrate specificity.
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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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".