Functional Cooperation Between GATA Factors and cJUN on the <i>Star</i> Promoter in MA‐10 Leydig Cells
Bibliographic record
Abstract
Steroid hormone biosynthesis requires the steroidogenic acute regulatory protein (STAR). STAR is part of a protein complex that transports cholesterol through the mitochondrial membrane where steroidogenesis begins. Several transcription factors participate to direct the proper spatiotemporal and hormonal regulation of the Star gene in Leydig cells. Mechanistically, this is believed to involve the functional interplay between many of these factors. Here we report a novel transcriptional cooperation between GATA factors and cJUN on the mouse Star and human STAR promoters in MA-10 Leydig cells. This cooperation was observed with different GATA members (GATA1, 4, and 6), whereas only cJUN could cooperate with GATA factors. GATA/cJUN transcriptional cooperation on the Star promoter is mediated via closely juxtaposed GATA and AP-1 binding motifs. Mutation of all functional GATA and cJUN elements abolished GATA/cJUN cooperation, which is in agreement with previous data reporting a direct interaction between GATA4 and cJUN in a heterologous system. These data add valuable new insights that further define the molecular mechanisms that govern Star transcription in steroidogenic cells of the testis.
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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) | 0.001 | 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".