The Ovulatory Signal Precipitates LRH-1 Transcriptional Switching Mediated by Differential Chromatin Accessibility
Bibliographic record
Abstract
In the ovary, follicular growth and maturation are complicated processes that involve a series of morphological and physiological changes in oocytes and somatic cells leading to ovulation and luteinization, essential processes for fertility. Given the complexity of ovulation, characterization of genome-wide regulatory elements is essential to understand the mechanisms governing the expression of specific genes in the rapidly differentiating follicle. We therefore employed a systems biology approach to determine global transcriptional mechanisms during the early stages of the ovulatory process. We demonstrate that, following the hormonal signal that initiates ovulation, granulosa cells undergo major modification of distal regulatory elements, which coincides with cistrome reprogramming of the indispensable orphan nuclear receptor liver receptor homolog-1 (LRH-1). This cistromic reorganization correlates with the extensive changes in gene expression in granulosa cells leading to ovulation. Together, our study yields a highly detailed transcriptional map delineating ovarian cell differentiation during the initiation of ovulation.
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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".