Role of CACC-Box in the Regulation of Ovine Follicle-Stimulating Hormone Receptor Expression1
Bibliographic record
Abstract
Tissue-specific and stage-specific expression of follicle-stimulating hormone receptor (FSH-R) in granulosa and Sertoli cells is required for normal development of ovarian follicles and germ cells. However, little is known of the transcription factors that regulate the FSH-R gene and its promoter. Using an ovine FSH-R promoter as a model system, we have identified a second DNase I footprinting 2 (FP2) region from -46 to -67 of the strongest ovine FSH-R promoter (-200 to +163) relative to the transcription start site. Electrophoretic mobility shift assay with a 22-base pair DNA probe (-46 to -67) and nuclear extracts from Sertoli (15P1) and granulosa (JC-410) cell lines demonstrated a sequence-specific DNA-protein complex. Further Southwestern and UV cross-linking analyses detected three predominant proteins of molecular weights 87, 60, and 50 kDa present in both Sertoli and granulosa cells bound to a 32P-labeled DNA probe as a complex. Gel competition experiments with DNA probes containing known Krupple-like factor binding sites revealed that the testis-specific zinc finger protein, ZNF202-like factor, Ras-responsive element binding protein-like factor, or both, may be among the potential candidate regulators. Mutation within the CACC box of the promoter abolished Krupple-like factor binding and significantly diminished promoter activity in both gonadal cells. These data suggest that Krupple-like transcription factors may play a role in the regulation of ovine FSH-R expression.
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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 | 0.001 | 0.001 |
| 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".