Mammalian <i>EGLN</i> genes have distinct patterns of mRNA expression and regulation
Bibliographic record
Abstract
The mammalian EGLN family contains three paralagous genes (EGLN1, EGLN2, and EGLN3) encoding prolyl hydroxylase isoforms that mediate the oxygen-dependent targeting of the transcription factor hypoxia inducible factor alpha to the proteosome. The rat orthologue of EGLN3 (SM-20) exhibits tissue-restricted expression, is induced by growth factors in cultured vascular smooth muscle, and is up-regulated during myogenesis. To determine if all three EGLN genes are coordinately regulated, we examined their mRNA expression in murine tissues and in cultured cells. We now report that the three murine EGLN mRNAs have unique but overlapping patterns of tissue expression. The most striking differences were in the heart, where EGLN3 had its highest levels of expression, and the testis, where EGLN2 was the only isoform expressed. In cultured vascular smooth muscle cells, serum treatment led to up-regulation of EGLN1 and EGLN3, but not EGLN2, and only EGLN3 was superinduced by cyclohexamide. In cultured C2C12 myocytes, EGLN3 was up-regulated during differentiation, whereas EGLN1 and EGLN2 were constitutively expressed. The abundance of EGLN3 mRNA in the heart, its induction by growth factors in vascular smooth muscle, and its regulation during C2C12 differentiation suggest a unique role for EGLN3 and might justify the development of isoformspecific inhibitors.
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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 | 0.001 |
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".