Effect of Histone Deacetylase Inhibitor Valproic Acid Treatment on Donor Cell Growth Characteristics, Cell Cycle Arrest, Apoptosis, and Handmade Cloned Bovine Embryo Production Efficiency
Bibliographic record
Abstract
In this study, we tested the effects of valproic acid (VPA), a known histone deacetylase inhibitor (HDACi), on the growth characteristics, apoptosis, and cell cycle stages distribution of donor cells, as well as cloning efficiency, embryo development, and histone methylation. Our results showed that treatment of donor cells with VPA (2.5 mM, 5.0 mM, 7.5 mM, or 10 mM) for 24 h resulted in altered cell proliferation, extent of apoptosis and necrosis, and cell cycle stage distribution, whereas no changes in cell viability and chromosomal complements were observed. Measurement of relative gene expression using real-time PCR of a few developmentally important genes in treated donor cells showed decreased expression of HDAC1 and increased expression of BAX (p<0.05). No change in relative expression of HDAC2 and Bcl2 was noticed. Treatment of donor cells with VPA for 24 h before electrofusion significantly (p<0.05) increased the blastocyst formation rate of somatic cell nuclear transfer (SCNT) embryos compared to the control embryos. Terminal deoxynucleotidyl transferase dUTP nick end labeling (TUNEL)-positive nuclei in SCNT blastocysts derived from VPA-treated donor cells were significantly decreased compared to the control blastocysts (p<0.05). Immunolocalization studies revealed that the levels of histone H3 at lysine 9 (H3K9me3) were lower in VPA-treated donor cells derived cloned blastocysts than nontreated cloned embryos, and was at the level of in vitro fertilization (IVF) counterparts, although no effects of treatments were found in donor cells. Our study demonstrates that the use of VPA in SCNT has been beneficial for efficient reprogramming of donor cells. Its effect on histone methylation in cloned embryos correlates with their developmental potential and may be a useful epigenetic marker to predict the efficiency of SCNT.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".