cAMP‐Induced Expression of the Orphan Nuclear Receptor <i>Nur77</i> in MA‐10 Leydig Cells Involves a CaMKI Pathway
Bibliographic record
Abstract
The Nur77 (Nr4a1) gene, encoding the orphan nuclear receptor NUR77 (NR4A1), is an immediate early response gene whose expression is rapidly induced by a variety of physiologic stimuli. Nur77 is expressed in several organs, including the classic steroidogenic tissues: gonads and adrenal. In MA-10 Leydig cells, NUR77 has been shown to regulate expression of several genes involved in steroidogenesis and male sex differentiation. In Leydig cells, androgen biosynthesis is controlled primarily by the pituitary gonadotropin luteinizing hormone (LH) acting via its receptor (LH-R), which in turn activates the adenylate cyclase/cyclic adenosine monophosphate (cAMP) signaling pathway. Even though Nur77 expression is induced both at the mRNA and protein levels in response to LH/forskolin/cAMP in Leydig cells, the mechanisms involved remain largely unknown. Here, we report that cAMP-mediated induction of Nur77 expression at the protein, mRNA, and promoter levels in MA-10 cells involves different mechanisms. We found that increased NUR77 protein requires transcription and translation, whereas increased Nur77 mRNA does not require de novo protein synthesis, and would therefore rely on transcription factors already present in the cell. In addition, our detailed analysis of the Nur77 promoter in MA-10 cells revealed that distinct regulatory elements are involved in basal and cAMP-induced Nur77 transcription. Finally, we found that maximal cAMP-mediated increase in Nur77 promoter activity involves a Ca(2+)/calmodulin kinase (CaMK)-dependent pathway and that Ca(2+)/calmodulin kinase I regulates Nur77 promoter activity in Leydig cells. Thus, our findings demonstrate the involvement of various mechanisms in the regulation of Nur77 expression in MA-10 Leydig cells, including a previously uncharacterized CaMK pathway.
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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 | 0.001 |
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".