Sustained ERK1/2 signaling is necessary for follicular rupture during ovulation in mice
Bibliographic record
Abstract
Abolition of the LH-induced ERK1/2 pathway leads to dramatic changes in gene expression in granulosa cells, subsequently abrogating ovulation. Here we explored whether sustained ERK1/2 signaling beyond immediate-early hours of the LH surge is important for ovulation in mice. First, we examined the effect of inhibition of ERK1/2 activity at 4 h after hCG stimulation on ovulation in superovulated immature mice. Treatment with the ERK1/2 pathway inhibitor PD0325901 at 4 h post-hCG disrupted follicular rupture without altering cumulus expansion, oocyte meiotic maturation and luteinization. Profiling the expression pattern of genes of the RSK family of ERK1/2 signal mediators revealed that RSK3, but not other isoforms, was induced by hCG treatment. Further, RSK3-knockout mice were sub-fertile with reduced ovulation rate and smaller litter size compared to WT mice. Given that PD0325901 inhibits all mediators of ERK1/2 signaling, we chose to evaluate the gene expression underlying deficient follicular rupture in ERK1/2 inhibited mice. We found that inhibition of ERK1/2 signaling at 4 h post-hCG resulted in an imbalance in the expression of genes involved in extracellular matrix degradation and leukocyte infiltration necessary for follicular rupture. In conclusion, our data demonstrate that sustained ERK1/2 signaling during ovulation is not required for cumulus expansion, oocyte meiotic maturation and luteinization, but is required for follicular rupture.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".