Transcriptional Regulation of Dehydroepiandrosterone Sulfotransferase (SULT2A1) by Estrogen-Related Receptor α
Bibliographic record
Abstract
The estrogen-related receptors (ERRalpha, -beta, and -gamma) are a subfamily of orphan nuclear receptors (designated NR3B1, NR3B2, and NR3B3) that are structurally and functionally related to estrogen receptors alpha and beta. Herein we test the hypothesis that ERRalpha regulates transcription of the genes encoding the enzymes involved in adrenal steroid production. Real-time RT-PCR was first used to determine the levels of ERRalpha mRNA in various human tissues. Adult adrenal levels of ERRalpha transcript were similar to that seen in heart, which is known to highly express ERRalpha. Expression of ERRalpha in the adult adrenal was then confirmed using Western blotting and immunohistochemistry. To examine the effects of ERRalpha on steroidogenic capacity we used reporter constructs with the 5'-flanking regions of steroidogenic acute regulatory protein (StAR), cholesterol side-chain cleavage (CYP11A), 3beta-hydroxysteroid dehydrogenase type II (HSD3B2), 17alpha-hydroxylase/17,20-lyase (CYP17), and dehydroepiandrosterone sulfotransferase (SULT2A1). Cotransfection of these reporter constructs with wild-type ERRalpha or VP16-ERRalpha expression vectors demonstrated ERRalpha enhanced reporter activity driven by flanking DNA from CYP17 and SULT2A1. SULT2A1 promoter activity was most responsive to the ERRalpha and VP16-ERRalpha, increasing activity 2.6- and 79.5-fold, respectively. ERRalpha effects on SULT2A1 were greater than the stimulation seen in response to steroidogenic factor 1 (SF1). Transfection of serial deletions of the 5'-flanking DNA of the SULT2A1 gene and EMSA experiments indicated the presence of three functional regulatory cis-elements which shared sequence similarity to binding sites for SF1. Taken together, the expression of ERRalpha in the adrenal and its regulation of SULT2A1 suggest an important role for this orphan receptor in the regulation of adrenal steroid production.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".