Specific miRNA-G Protein-Coupled Receptor Networks Regulate Sox9a/Sox9b Activities to Promote Gonadal Rejuvenation in Zebrafish
Bibliographic record
Abstract
Fertility and endocrine function rely on a tightly regulated synchronicity within the hypothalamic-pituitary-gonadal axis, for which the sex gonad serves as the primary source of sex steroid hormones and germ cells. To maintain hormonal stasis and fertility throughout the lifespan, inducing gonadal stem cell renewal is an attractive strategy. The follicle-stimulating hormone/cAMP/MAPK/Sox9 signaling axis and its regulated specific miRNAs are thought to regulate vertebrate gonadal development and sex differentiation, yet the regulatory networks are largely unknown. By genome-wide transcriptome mining and gonadal microinjections, we identify two G protein-coupled receptor (GPCR)-regulatory circuits: miR430a-Sox9a in the testis and miR218a-Sox9b in the ovary. Coinjection of a Sox9a-miR430a mixture promotes spermatogenesis, whereas Sox9b-miR218a mixture increases primordial ovarian follicles. Coimmunoprecipitation and mass spectrometry indicate that the two mixtures differentially modulate Sox9a/Sox9b multiple covalent modifications. We further reveal that miR430a and Sox9a synergistically activate testicular protein kinase C (PKC)/Akt signaling, whereas the miR218a and Sox9b mixture constrains ovary PKC/Akt signaling. pMIR-GFP reporter assay demonstrate that miR430a and miR218a target the 3' untranslated region (UTR) of four GPCR targets (lgr4, grk5l, grk4, and grp157). Knockdown of these GPCR genes or two Sox9 genes alters miR430a and miR218a regulation in the above gonad-specific PKC and Akt signaling pathways. These results establish two specific miRNA-GPCR-Sox9 networks and provide mechanistic insight into gonadal differentiation and rejuvenation. Stem Cells 2019;37:1189-1199.
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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) | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".