miR‐17‐5p affects porcine granulosa cell growth and oestradiol synthesis by targeting <i>E2F1</i> gene
Bibliographic record
Abstract
Female fertility potential is based on the development and growth of ovarian follicles. Our previous study showed that miR-17-5p was significantly differently expressed in pre-ovulatory ovarian follicles of Large White (LW) and Chinese Taihu (CT) sows. In the present study, we investigated the role of miR-17-5p in ovarian follicle development. We demonstrated that miR-17-5p overexpression significantly decreased the luciferase reporter activity containing the E2F transcription factor 1 (E2F1) 3'untranslated region (3'UTR) and suppressed the E2F1 expression, whereas the miR-17-5p inhibition increased the E2F1 expression in porcine granulosa cells (pGCs). Meanwhile, miR-17-5p overexpression or E2F1 knockdown promoted cell growth, follicular development marker genes (LHR, CYP19A1 and AREG) expression and oestradiol synthesis, and miR-17-5p inhibition suppressed cell growth, follicular development marker genes (LHR, CYP19A1 and AREG) expression and oestradiol synthesis in pGCs. Furthermore, E2F1 knockdown increased CYP19A1 promoter activity. This study suggests that miR-17-5p regulates pGC growth and oestradiol synthesis by targeting E2F1 gene.
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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".