Role of the Exchange Protein Directly Activated by Cyclic Adenosine 5′-Monophosphate (Epac) Pathway in Regulating Proglucagon Gene Expression in Intestinal Endocrine L Cells
Bibliographic record
Abstract
Although proglucagon gene expression and the synthesis of proglucagon encoded peptide hormones could be activated by protein kinase A (PKA) activators such as forskolin/3-isobutyl-1-methylxanthine (IBMX) and cholera toxin, whether the activation is entirely attributed to PKA has not been previously examined. We found that forskolin/IBMX also activate ERK1/2 phosphorylation in intestinal and pancreatic proglucagon-producing cell lines. The MEK inhibitors PD98059 and U0126 were found to repress the expression of proglucagon promoter as well as endogenous proglucagon mRNA in two intestinal proglucagon-producing cell lines and to block the stimulatory effect of forskolin/IBMX on proglucagon mRNA expression. The repressive effect of the PKA-specific inhibitors H-89 and KT-5720, however, was either not observable or much less potent. Forskolin could activate ERK1/2 phosphorylation and proglucagon gene transcription on its own, whereas forskolin plus IBMX are required to effectively activate the PKA pathway in the proglucagon-producing cells. Exchange protein directly activated by cyclic AMP 2 (Epac2, or cAMP-binding guanine nucleotide exchange factor-2) was found to be expressed in gut and pancreatic proglucagon-producing cell lines, whereas the Epac-pathway-specific cAMP analog, 8-pMeOPT-2'O-Me-cAMP, effectively stimulated ERK1/2 phosphorylation as well as proglucagon mRNA expression. We therefore suggest that cAMP at least partially regulates proglucagon gene expression via the Epac-Ras/Rap-Raf-MEK-ERK signaling pathway.
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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 | 0.001 |
| 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".