Development and Gene Expression of Porcine Cloned Embryos Derived from Bone Marrow Stem Cells with Overexpressing Oct4 and Sox2
Bibliographic record
Abstract
The present study compared the potential of porcine bone marrow mesenchymal stem cells (pBMSCs) at different passages as nuclear transfer (NT) donors and the developmental efficiency of NT embryos from donor cells transfected with/without Oct4 and Sox2. Early-passage pBMSCs showed higher proliferation and expression of Oct4 and Sox2 and differentiation potential into mesenchymal lineages than middle- and late-passage pBMSCs. Cleavage rate did not differ among pBMSCs at different passages, but NT embryos with early-passage pBMSCs and middle-passage pBMSCs transfected with Oct4 (Oct4-pBMSCs) had significantly (p<0.05) higher blastocyst development than those with middle-passage pBMSCs. The incidence of apoptotic bodies in NT blastocysts from late-passage pBMSCs and Sox2-transfected middle-passage pBMSCs (Sox2-pBMSCs) was significantly (p<0.05) higher than others. The transcriptional levels of Oct4, Sox2, Nanog, Cdx2, Dnmt3a, and Igf2r genes were significantly (p<0.05) higher in Oct4- and Sox2-pBMSCs NT embryos. Middle-passage pBMSCs NT embryos revealed lower transcriptional levels of Bcl2 than others, except Sox2-pBMSCs NT embryos. The transcriptional level of Bax increased gradually in NT embryos derived from pBMSCs following extended passages and was significantly (p<0.05) higher in Sox2-pBMSCs NT embryos. Our results demonstrated that early-passage pBMSCs are more potent in expressing transcription factors and displayed higher differentiation ability, and middle-passage pBMSCs transfected with Oct4 improved the developmental efficiency of NT embryos, suggesting that high Oct4 expression cells are more efficient as NT donors.
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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".