The Imitation Switch Protein SNF2L Regulates Steroidogenic Acute Regulatory Protein Expression during Terminal Differentiation of Ovarian Granulosa Cells
Bibliographic record
Abstract
Luteinization is a complex process, stimulated by gonadotropins, that promotes ovulation and development of the corpus luteum through terminal differentiation of granulosa cells. The pronounced expression of the mammalian imitation switch (ISWI) genes, SNF2H and SNF2L, in adult ovaries prompted us to investigate the role of these chromatin remodeling proteins during follicular development and luteinization. SNF2H expression is highest during growth of preovulatory follicles and becomes less prevalent during luteinization. In contrast, both SNF2L transcript and SNF2L protein levels are rapidly increased in granulosa cells of the mouse ovary 8 h after human chorionic gonadotropin treatment, and continue to be expressed 36 h later within the functional corpus luteum. We demonstrate a physical interaction between SNF2L and the progesterone receptor A isoform, which regulates progesterone receptor-responsive genes required for ovulation. Moreover, chromatin immunoprecipitation demonstrated that, after gonadotropin stimulation, SNF2L is associated with the proximal promoter of the steroidogenic acute regulatory protein (StAR) gene, a classic marker of luteinization in granulosa cells. Interaction of SNF2L with the StAR promoter is required for StAR expression, because small interfering RNA knockdown of SNF2L prevents the activation of the StAR gene. Our results provide the first indication that ISWI chromatin remodeling proteins are responsive to the LH surge and that this response is required for the activation of the StAR gene and the overall development of a functional luteal cell.
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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".