The Orphan Nuclear Receptor NR4A1 Regulates Insulin-Like 3 Gene Transcription in Leydig Cells1
Bibliographic record
Abstract
Insulin-like 3 (INSL3) is a hormone produced by fetal and adult Leydig cells of the testis and by theca and luteal cells of the adult ovary. In males, INSL3 regulates testicular descent during fetal life, whereas in adults, it acts as a germ cell survival factor. In the ovary, INSL3 regulates oocyte maturation. Despite its importance for male sex differentiation and reproductive function in both sexes, very little is known regarding the molecular mechanisms that regulate Insl3 expression. So far, the nuclear receptor NR5A1 is the only transcription factor known to regulate the mouse Insl3 promoter in Leydig cells. NR5A1 by itself, however, cannot explain the spatiotemporal expression pattern of the Insl3 gene. In the present study, we have identified the orphan nuclear receptor NR4A1 as a novel regulator of INSL3 transcription in Leydig cells. Using RT-PCR, we found that Nr4a1 is coexpressed with Insl3 in purified Leydig cells and in several Leydig cell lines. Through detailed analyses of the mouse and human INSL3 promoter in Leydig cells, we have mapped a novel regulatory element located at -100 bp that is essential and sufficient to confer NR4A1 responsiveness. Consistent with a role for NR4A1 in Insl3 transcription, chromatin immunoprecipitation assays revealed that endogenous NR4A1 binds to the proximal Insl3 promoter in vivo. Finally, we found that NR4A1 is also implicated in cAMP-induced Insl3 transcription in Leydig cells. Taken together, our identification of NR4A1 as an important regulator of mouse and human INSL3 promoter activity helps us to better define the tissue-specific regulation of the INSL3 gene in gonadal cells.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
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".