Differential regulation of Hippo signaling pathway components between 8‐cell and blastocyst stages of bovine preimplantation embryogenesis
Bibliographic record
Abstract
The Hippo signaling pathway is an important regulator of lineage segregation (trophectoderm and inner cell mass) during blastocyst formation in the mouse embryos. However, the role and regulation of Hippo signaling pathway components during bovine embryonic development is not completely understood. This study was thus designed to interpret the roles of Hippo cell signaling pathway components using two different yet specific chemical inhibitors (Cerivastatin and XMU-MP-1). A significant decrease in the blastocyst rates were observed on treatment with Cerivastatin and XMU-MP-1 inhibitors for the treatment groups, in comparison to the control groups. At the 8-cell stage, a significant decrease was observed in the gene expression and nuclear protein localization of YAP1 (Yes Associated Protein 1) and pYAP1 components of Hippo signaling pathway. However, no such effect of Cerivastatin treatment was observed on the localization of TAZ at this cell stage. On the contrary, during bovine blastocyst formation a significant decrease in the gene expression and nuclear localization of both YAP1 and TAZ suggest differences in the regulation of these components at 8-cell and blastocyst stages of embryonic development. Furthermore, XMU-MP-1 mediated chemical inhibition of Mst1 at the blastocyst stage also suggests differences in the regulation of Yap1 and Taz components of Hippo signaling pathway. Overall, this study indicates novel differences in the regulation of Hippo signaling transcript levels and protein localization between the 8-cell and blastocyst stages of bovine preimplantation embryonic development.
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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".