Control of CYP11B2 Gene Expression through Differential Regulation of Its Promoter by Atypical and Conventional Protein Kinase C Isoforms
Bibliographic record
Abstract
We reported previously that the protein kinase C (PKC) inhibitor GF109203X stimulated the hamster CYP11B2 promoter activity in transfected NCI-H295 cells. PKCalpha, -epsilon, and -zeta were detected in hamster adrenal zona glomerulosa and NCI-H295 cells, and PKCtheta in NCI-H295 cells. 12-O-Tetradecanoylphorbol-13-acetate (TPA) inhibited basal and stimulated cytochrome P450 aldosterone synthase mRNA expression by angiotensin (AII), dibutyryl cyclic adenosine 3':5'-monophosphate (Bt2cAMP), or KCl in NCI-H295 cells. Basal CYP11B2 promoter activity was inhibited in cells cotransfected with constitutively active (CA) PKCalpha, -epsilon, and -theta mutants, whereas it was increased with CA-PKCzeta. Dominant negative (DN) PKCalpha, -theta, -epsilon, and -zeta mutants stimulated the promoter activity. AII-, KCl-, and Bt2cAMP-stimulatory effects were abolished in cells cotransfected with CA-PKCalpha, -epsilon, or -theta. The effect of Bt2cAMP was abolished by CA-PKCzeta but AII and KCl were still able to enhance the promoter activity. DN-PKCalpha, -epsilon, -theta, or -zeta did not inhibit these effects. Gö6976 enhanced promoter activity, providing further evidence that PKCalpha was involved. Various CYP11B2 promoter constructs were used to identify the area associated with TPA and PKC inhibition. TPA and CA-PKCalpha, -epsilon, or -theta abolished the effects of AII, KCl, and Bt2cAMP on the activity of -102 and longer constructs. In summary, our findings suggest that the hamster CYP11B2 gene is under differential control by conventional (alpha) and atypical (zeta) PKC.
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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".