Analysis of Oocyte-Like Cells Differentiated from Porcine Fetal Skin-Derived Stem Cells
Bibliographic record
Abstract
We previously reported the differentiation of cells derived from porcine female fetal skin into cells resembling germ cells and oocytes. A subpopulation of these cells expressed germ cell markers and formed aggregates resembling cumulus-oocyte complexes. Some of these aggregates extruded large oocyte-like cells (OLCs) that expressed markers consistent with those of oocytes. The objective of the current study was to further characterize OLCs differentiated from porcine skin-derived stem cells. Reverse transcriptase (RT)-polymerase chain reaction and Western blot revealed the expression of connexin37 and connexin43, both of which are characteristic of ovarian follicles. The expression of meiosis markers DMC1 and synaptonemal complex protein, but not STRA8 and REC8, was detected in the OLC cultures. Immunofluorescence with an antibody against synaptonemal complex protein on chromosome spreads revealed a very small subpopulation of stained OLCs that had a similar pattern to leptotene, zytotene, or pachytene nuclei during prophase I of meiosis. Sodium bisulfite sequencing of the differentially methylated region of H19 indicated that this region is almost completely demethylated in OLCs, similar to in vivo-derived oocytes. We also investigated the differentiation potential of male skin-derived stem cells in the same differentiation medium. Large cells with oocyte morphology were generated in the male stem cell differentiation cultures. These OLCs expressed oocyte genes such as octamer-binding transcription factor 4 (OCT4), growth differentiation factor-9b (GDF9B), deleted in azoospermia-like (DAZL), VASA, zona pellucida B (ZPB), and zona pellucida C (ZPC). It was concluded that skin-derived stem cells from both male and female porcine fetuses are capable of entering an oocyte differentiation pathway, but the culture system currently in place is inadequate to support the complete development of competent oocytes.
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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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".