Fine Tuning of Histone Demethylase KDM6A/B Improves the Development of Nuclear Transfer Embryo
Bibliographic record
Abstract
Abstract Despite the success of the production of animals by somatic cell nuclear transfer (SCNT) in many species, the method is limited by a low efficiency. After zygotic genome activation (ZGA), a large number of endogenous retroviruses (ERVs) are expressed, including the murine endogenous retrovirus-L (MuERVL/MERVL). In this study, we generated a series of MERVL-reporter mouse strains to detect the ZGA event in embryos. We found that the majority of SCNT embryos exhibited ZGA failure, and histone H3 lysine 27 trimethylation (H3K27me3) prevented SCNT reprogramming. Overexpression of the H3K27me3-specific demethylase KDM6A, but not KDM6B, improved the efficiency of SCNT. Conversely, knockdown KDM6B not only facilitate ZGA, but also impede ectopic Xist expression in SCNT reprogramming. Furthermore, the knockdown of KDM6B increased the rate of SCNT-derived Duchenne muscular dystrophy embryonic stem cell establishment, indicate that these results not only provide insight into the mechanisms underlying failures of SCNT, but also may extend the applications of SCNT.
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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) | 0.003 | 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".