Epigenetic of Somatic Cells Reprogramming
Bibliographic record
Abstract
Embryonic stem cells (ESCs) is a highly undifferentiated pluripotent cells, can differentiate into various cells. Stem cell therapy is an opportunity of the human regenerative medicine, and also a focus of medical research. While the source of embryonic stem cells is controversial in ethics, which indirectly promotes the technology development of somatic cell reprogramming and induced pluripotent stem cells (iPSCs). Although iPSCs can produce healthy mature individuals, there are still some limitations, such as the success rate of iPSCs is very low and the problem of tumorigenicity. ESCs and iPSCs have difference in gene expression level and the potential mechanism of epigenetic regulation. In the process of cell differentiation and development, DNA sequence has no change, which means the specific epigenetic modifications (DNA methylation, histone modifications, miRNA and lncRNA) plays an important role in the pluripotent maintenance and differentiation of ESCs and iPSCs. In this review, we discussed the regulation effect of various epigenetic modifications in the pluripotent maintenance and differentiation of ESCs and iPSCs, and the relationship between epigenetic modifications and somatic reprogramming is also discussed. We think, based on the various omics data produced by next generation sequencing, developing bioinformatics methods will greatly promote the stem cell research and its clinical application.
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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".