69 BLASTOCYSTS DEVELOPED FROM EMBRYOS THAT SPENT UP TO 2-CELL STAGE IN VIVO EXHIBITED MASSIVE DNA METHYLATION DYSREGULATION INCLUDING IMPRINTED GENES AND DNA METHYLTRANSFERASES
Bibliographic record
Abstract
Suboptimal culture condition before minor or major genome activation is believed to affect the quality and the transcriptome landscape of the resulting blastocysts. Thus, we hypothesised that exposure of bovine embryos to suboptimal culture condition before minor embryonic genome activation could affect the genome methylation patterns of the resulting blastocysts. Therefore, here we aimed to investigate the genome wide DNA methylation patterns of blastocysts derived from embryos developed up to 2-cell stages in vivo followed by in vitro culture. For this, Simmental heifers were superovulated and artificially inseminated. The 2-cell stage embryos were then flushed using a state-of-the-art nonsurgical endoscopic early-stage embryo flushing technique and in vitro cultured until the blastocyst stage. The DNA methylation patterns of these blastocysts were then determined with reference to blastocysts derived from embryos developed completely under in vivo condition. For this, the genomic DNA isolated from each blastocyst group were fragmented, and unmethylated genomic regions were cleaved using methylation sensitive restriction enzymes. The samples were then amplified using ligation mediated PCR and labelled either with Cy-3 or Cy-5 dyes in a dye-swap design using the ULS Fluorescent genomic DNA labelling kit (Kreatech Biotechnology) and hybridized on an EmbryoGENE DNA Methylation Array as described previously (Saadi 2014 BMC Genomics 15, 451; Salilew-Wondim 2015 PLoS ONE 10, e0140467). Array hybridization was performed for 40 h at 65°C, and 4 hybridizations were preformed to represent 4 biological replicates. The slides were scanned using Agilent’s High-Resolution C Scanner (Agilent Technologies, Santa Clara, CA, USA), and Agilent’s Feature Extraction software (Agilent Technologies) was used to extract data features. Differentially methylated regions with fold change =1.5 and P-value < 0.05 were identified using linear modelling for microarray and R software. The results have shown that including imprinted genes (PEG3, IGF1, RASGRF1, IGF2R, GRB10, SNRPN, and PLAGL1) and DNA methyltransferases (DNMT1, DNMT3A, and DNMT3B), a total of 10,388 genomic regions were differentially methylated, of which 6393 genomic regions were hypermethylated in blastocysts derived from 2-cell flush compared with the complete vivo group. In addition, comparative analysis of the current DNA methylation data with our previous transcriptome profile data have shown that including DNMT3A, CTSZ, ElF3E, and PPP2R2B, the expression patterns of 603 genes was inversely correlated with the methylation patterns. Moreover, canonical pathways including gap junction, adherens junction, axon guidance, focal adhesion, and calcium signalling were affected by differentially methylated regions. Therefore, this study indicated that exposure of embryos to suboptimal culture condition before embryonic genome activation would lead to a massive dysregulation of methylation pattern of genes involved in developmentally relevant pathways in the resulting blastocysts.
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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) | 0.000 | 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".