Regulation of dual specificity phosphatases by fibroblast growth factor signaling pathways in bovine granulosa cells
Bibliographic record
Abstract
Controling the duration and amplitude of mitogen-activated protein kinase (MAPK) signaling is an important element in deciding cell fate. One group of intracellular negative regulators of MAPK activity is a subfamily of the dual specificity phosphatase (DUSP) superfamily, of which up to 16 members have been described in the ovarian granulosa cells. Growth factors stimulate proliferation of granulosa cells through MAPK, protein kinase C (PKC), and AKT pathways, although it is not known which pathways control DUSP expression in these cells. The aim of the present study was to identify which pathways were involved in the regulation of DUSP expression using a well-established serum-free culture system for bovine granulosa cells. Stimulation of cells with FGF2 increased DUSP1, DUSP5, and DUSP6 mRNA abundance in a time- and dose-dependent manner, and increased DUSP5 and DUSP6 protein accumulation. None of the other eleven DUSP measured were regulated by FGF2. Pharmacological inhibition of MAPK3/1 signaling decreased FGF2-stimulated DUSP1, DUSP5, and DUSP6 mRNA levels (P < 0.05), whereas inhibition of PKC did not affect the expression of these three DUSPs. Abundance of FGF2-dependent DUSP6 mRNA was reduced by inhibition of phospholipase C (PLC) or by chelating calcium, but DUSP5 mRNA abundance was not affected. Abundance of basal DUSP1 and DUSP6, but not DUSP5 mRNA was increased by the addition of the calcium ionophore A23187. We conclude that FGF2 stimulation of DUSP5 abundance requires MAPK3/1 whereas DUSP6 mRNA accumulation is dependent on calcium signaling as well as MAPK3/1 activation, suggesting complex regulation of physiologically important DUSPs in the follicle.
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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".