Epigenetic reprogramming in mammalian cell differentiation, transdifferentiation and dedifferentiation.
Bibliographic record
Abstract
Abstract Epigenetic and chromatin modifications have important roles in governing gene activity and nuclear architecture. They are also necessary for normal embryonic development and cell differentiation. Early epigenetic programming events during mouse embryogenesis are believed to be essential for normal growth and development. Aberrant epigenetic profiles are associated with the conversion of normal cell phenotypes into cancer cells. Because epigenetic alterations are potentially reversible, experimental progress in this area may offer great promise for new cancer therapy. Nuclear epigenetic profiles can be manipulated using techniques such as somatic cell reprogramming, genetic engineering and small molecules, which can reprogramme the cell towards dedifferentiation and transdifferentiation. Advances into the mechanisms will improve the potential for regenerative medicine. In this review, we describe the principles of epigenetics and its relation to cell reprogramming, differentiation, dedifferentiation and transdifferentiation.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".