Influence of luteinizing hormone support on granulosa cells transcriptome in cattle
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In cows, the use of follicle-stimulating hormone (FSH) to stimulate follicular growth followed by a short period of FSH withdrawal has been shown to be beneficial for oocyte developmental competence. Although this treatment represents a useful optimization to generate highly competent oocytes, the underlying physiological process is not completely understood. The goal of this study was to investigate the role of luteinizing hormone (LH) action during FSH withdrawal before ovulation. To accomplish this, LH release was pharmacologically inhibited during the coasting period with gonadotropin-releasing hormone (GnRH) antagonists. Granulosa cells samples were obtained from cows stimulated with FSH during 3 days followed by a coasting period of 68 h and treated with a GnRH antagonist (cetrorelix group) or not (control). A significant reduction in the number of follicles at >10 mm diameter was observed with the cetrorelix group and gene expression of granulosa cells reveals that 747 transcripts are potentially regulated by LH. Further analysis indicates how the absence of LH may trigger early atresia, the upregulation of atretic agent as tumor protein P53 and transforming growth factor β1 and the inhibition of growth support. This work allows identification of genes that are associated with maintained follicular growth and conversely the ones leading to atresia in dominant pre-ovulatory follicles.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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 it