Expression of miRNAs Associated With Embryo Development and DNA Damage Response in Porcine Embryos
Bibliographic record
Abstract
Embryo genome activation (EGA) is a crucial event implicated in proper embryonic development. Similarly, the DNA Damage Response (DDR) is essential for correcting or preventing occasional errors during embryonic cell division that could result in embryo development arrest or the propagation of genetic abnormalities. Although both EGA and DDR are regulated by epigenetic mechanisms, the role of microRNAs (miRNAs) in these processes has not been explored in pig embryos. Herein, we assessed the abundance of miRNAs linked to embryo development and DDR across four developmental stages: Day 2 (D2), Day 3 (D3), and Day 4 (D4), and at the blastocyst stage, as well as after DNA damage induction. mRNA levels of EGA-related genes confirmed our timepoints as representing EGA timeframe, while immunofluorescence for γH2AX validated DNA damage induction. Significant decrease in blastocyst rate and total cell number per blastocyst was detected in UV-exposed embryos. Analysis of miRNA abundance revealed increased levels of miR-200a-5p on D3, which were partially maintained on D4. Both miR-15a and miR-24-3p increased on D4, but their levels were downregulated in UV-exposed embryos at the same stage of development. In blastocysts, UV exposure upregulated miR-29a-3p and miR-344b-3p. Together, these findings provide the first characterization of miRNAs expression in porcine embryos during EGA and following DNA damage induction.
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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".