Two Inr Elements Are Important for Mediating the Activity of the Proximal Promoter of the Human Gonadotropin-Releasing Hormone Receptor Gene
Bibliographic record
Abstract
Differential usage of several transcription start sites in the human GnRH receptor gene was evident in human brain and pituitary. To locate the promoter responsible for a cluster of the 3' CAP sites from -635 to -578 (relative to ATG) found in the pituitary, a proximal promoter element was identified at -677/-558 by 5' and 3' deletion mutant analysis. The promoter element drove a 13.1 +/- 0.6-fold increase in reporter gene activity in an orientation-dependent manner in the mouse gonadotrope-derived alphaT3-1 cells. Within the core promoter element, two functional AT-rich Inr motifs, interacting with the same protein factor with different affinities, were identified. By Southwestern blot analysis and competitive gel mobility shift assays, multiple nuclear factors (36-150 kDa) were found to interact specifically with the core promoter element. Interestingly, these nuclear proteins also interacted with a previously identified distal promoter of the human GnRH receptor gene. Taken together, our studies suggested that these two promoters share common protein factors to regulate transcription initiations at two different regions. Additional mechanisms are needed to modulate the efficiencies of individual promoters for developmental and/or tissue-specific regulations.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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".