Analysis of microRNAs and their precursors in bovine early embryonic development
Bibliographic record
Abstract
In animals, the maternal-to-embryonic transition (MET) occurs in the first days of early development and involves the degradation of maternal transcripts that have been stored during oogenesis. Moreover, precise and specific control mechanisms govern the adequate synchronization of the MET events to promote the activation of the embryonic genome. These mechanisms are not well understood, but it is believed that microRNAs (miRNAs) could be one of the mechanisms involved. After a microarray screening study, we analysed the expression of specific miRNA during oocyte maturation and early embryo development until preimplantation stages. Two differentially expressed candidates were selected for further analysis. Mature and precursor forms of miR-21 and miR-130a were quantified by qRT-PCR in pools of 20 oocytes at GV (germinal vesicle), GV breakdown and metaphase II stages as well as in pools of embryos at the 2-cell, 4-cell, 8-cell and blastocyst stages. The results showed a linear increase during the 1-8 cell stage for the mature forms of miR-130a and miR-21 (P < 0.05 and P < 0.003, respectively) and for the precursor form of miR-130a (P < 0.002). To see if this increase was due to minor transcriptional activity, 2-cell embryos were exposed to α-amanitin for 30-34 h. Results showed a significant decrease in miR-21, pre-miR-21, miR-130a and SRFS3 in α-amanitin-treated embryos (P < 0.05). Considering the potential regulatory role of these miRNA, the bovine genome was screened to identify putative targets with a 3'UTR exact seed match. This study suggests that miRNAs could be important players in the MET, as expression profiles suggest a potential regulation role during early development steps.
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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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".