The maternal-to-zygotic transition in bovine in vitro-fertilized embryos is associated with marked changes in small non-coding RNAs†
Bibliographic record
Abstract
In mammals, small non-coding RNAs (sncRNAs) have been reported to be important during early embryo development. However, a comprehensive assessment of the inventory of sncRNAs during the maternal-to-zygotic transition (MZT) has not been performed in an animal model that better represents the sncRNA biogenesis pathway in human oocytes and embryos. The objective of this study was to examine dynamic changes in expression of sncRNAs during the MZT in bovine embryos produced by in vitro fertilization (IVF), which occurs at the 8-cell stage. An unbiased, discovery-based approach was employed using small RNAseq to profile sncRNAs in bovine oocytes, 8-cell stage embryos and blastocyst stage embryos followed by network and ontology analyses to explore the functional relevance of differentially expressed micro-RNAS (miRNAs). The relative abundance of miRNAs was markedly higher in 8-cell stage embryos compared to oocytes or blastocyst stage embryos. This shift in miRNA population was largely associated with upregulation of miRNAs predicted to target genes involved in the biological processes of cell development, cell division, Wnt signaling, and pluripotency, among others. Distinct populations of piwi-interacting-like RNAs (pilRNAs) were identified in bovine oocytes and blastocyst stage embryos, though pilRNAs were nearly absent in 8-cell stage embryos. Also, small nucleolar RNAs were highly expressed in 8-cell stage embryos. Overall, these data reveal a strong dynamic shift in the relative abundance of sncRNAs associated with the MZT in bovine oocytes and embryos, suggesting that these molecules may play important roles in the shift from maternal to zygotic control of gene expression.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".