Friend of GATA (FOG)-1 and FOG-2 Differentially Repress the GATA-Dependent Activity of Multiple Gonadal Promoters
Bibliographic record
Abstract
The GATA transcription factors are crucial regulators of cell-specific gene expression in many tissues. GATA proteins are abundantly expressed in gonads of several species. In vertebrates, GATA factors are expressed from the onset of gonadal development and are later found in multiple cell lineages of both the testis and ovary. GATA factors activate transcription of several gonadal genes including the hormone-encoding genes Müllerian inhibiting substance (MIS) and inhibin alpha and genes involved in steroidogenesis like P450 aromatase (Cyp 19) and steroidogenic acute regulatory protein. GATA factors also contribute to cell-specific gonadal gene expression through cooperative interactions with other transcription factors such as the orphan nuclear receptor steroidogenic factor-1. GATA transcriptional activity is also modulated by two multitype zinc finger proteins called the Friend of GATA (FOG) proteins, which were cloned as GATA-specific cofactors. The FOG proteins (FOG-1 and FOG-2) can act as either enhancers or repressors of GATA transcriptional activity, depending on the cell and promoter context. We now report that the FOG proteins are coexpressed with GATA factors in testicular cells in which they differentially repress the promoter activities of several GATA-dependent target genes. These findings implicate the FOG proteins in the regulation of GATA-dependent gene transcription in the gonads.
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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".