<i>Egr1</i> involvement in evening gene regulation by melatonin
Bibliographic record
Abstract
Seasonal photoperiodic responses in mammals depend on the pineal hormone melatonin. The pars tuberalis (PT) region of the anterior pituitary has emerged as a principal melatonin target tissue, controlling endocrine responses. Rising melatonin levels acutely influence the expression of a small cluster of genes either positively (exemplified by cryptochrome-1, cry1) or negatively (exemplified by the type 1 melatonin receptor, mt1). The purpose of this study was to characterize the pathways through which these evening actions of melatonin are mediated. In vitro experiments showed that cAMP signaling in the PT directly influences mt1 but not cry1 expression. Analysis of nuclear extracts from sheep PT tissue collected 90 min after melatonin or saline control injections highlighted the response element for the immediate early gene egr1 (EGR1-RE) as a candidate for acute melatonin-dependent transcriptional regulation. We identified putative EGR1-RE's in the proximal promoter regions of the ovine cry1 and mt1 genes, and confirmed their functionality in luciferase reporter assays. Egr1 expression is suppressed by melatonin in PT cell cultures, and is rhythmic in the ovine PT with a nadir in the early night. We propose that melatonin-dependent effects on EGR1-RE's contribute to evening gene expression profiles in this pituitary melatonin target tissue.
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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 | 0.000 |
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".