Intron 1 sequences are required for pancreatic expression of the human proglucagon gene
Bibliographic record
Abstract
The mammalian proglucagon gene is expressed in pancreatic islet A-cells, intestinal L-cells, and select neurons of the brain, where posttranslational processing results in the liberation of a unique profile of peptides. Despite the importance of proglucagon-derived peptides in human biology, little is known about the regulation of the human gene, as the rat gene has been the preferred model for understanding the regulation of proglucagon gene expression. Previously, we have shown that although the immediate promoter region of the rat proglucagon gene is sufficient for expression in pancreatic islet cells, the homologous human proglucagon promoter sequences are not sufficient. We have now used a comparative genomic approach to identify noncoding sequences near the human proglucagon gene that are conserved among mammals, and thus potentially are regulatory sequences. Our alignments identified three evolutionarily conserved noncoding regions (ECR), one is the immediate promoter region (ECR1), the second is about 5 kb 5' to the mRNA start site (ECR2), and the third is near the 3' end of the first intron (ECR3). Our in vitro transient transfection assays with reporter gene constructs that include the human ECR3 support expression in rodent islet cell lines. Complementary studies with transgenic mice possessing a reporter gene regulated by a human proglucagon gene promoter-intron 1 (including ECR3) sequences express the reporter gene in the pancreas, as well as the intestine and selected neurons. These studies suggest that conserved sequences within intron 1 of the human proglucagon gene are important for expression in the pancreas.
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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) | 0.002 | 0.001 |
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".