Bibliographic record
Abstract
In human and rat, tissue-specific proteolytic processing of identical proglucagon precursors yield tissue-specific proglucagon-derived peptides. In contrast, in many non-mammalian vertebrates alternative mRNA splicing yields different proglucagon precursors in different tissues. Thus alternative mRNA splicing, in part, limits the choices of proglucagon-derived peptides that can be produced by proteolytic processing. Stomach proglucagon mRNAs from the rainbow trout and Xenopus laevis were found not to encode the proglucagon-derived peptide glucagon-like peptide 2 (GLP-2). To determine if the absence of GLP-2 was a general feature of stomach proglucagons we isolated and characterized proglucagon cDNAs from the stomach and the pancreas of the dog, a mammal that expresses the proglucagon gene in the stomach. A major proglucagon transcript of about 1100 bases and a minor transcript of about 800 bases were identified in both stomach and pancreas. The coding sequences of both the stomach and pancreatic proglucagon transcripts were identical. Therefore, tissue-specific proteolytic processing, and not alternative mRNA splicing, must regulate the production of tissue-specific proglucagon-derived peptides from the stomach of the dog.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".