Dynamics of transcription is affected by oxygen tension and developmental speed during in vitro production of bovine embryos
Bibliographic record
Abstract
This study examines the impact of oxygen tension and embryo kinetics on gene transcription dynamics in pathways crucial for embryonic preimplantation development, including lipid metabolism, carbohydrate transport and metabolism, mitochondrial function, stress response, apoptosis and transcription regulation. Bovine embryos were generated in vitro and allocated into two groups based on oxygen tension (20% or 5%) at 18 h post insemination (hpi). At 40 hpi, embryos were categorized into Fast (≥4 cells) or Slow (2 cells) groups, resulting in four experimental groups: FCL20, FCL5, SCL20 and SCL5. Embryo collection also occurred at 72 hpi (16-cell stage; groups FMO20, FMO5, SMO20 and SMO5) and at 168 hpi (expanded blastocyst (BL) stage; groups FBL20, FBL5, SBL20 and SBL5). Pools of three embryos per group were analysed in four replicates using inventoried TaqMan assays specific for Bos taurus, targeting 93 genes. Gene expression patterns were analysed using the K-means algorithm, revealing three main clusters: genes with low relative abundance at the cleavage (CL) and 16-cell morula (MO) stages but increased at the BL stage (cluster 1); genes with higher abundances at CL but decreasing at MO and BL (cluster 2); and genes with low levels at CL, higher levels at MO and decreased levels at BL (cluster 3). Within each cluster, genes related to epigenetic mechanisms, cell differentiation events and glucose metabolism were particularly influenced by differences in developmental kinetics and oxygen tension. Fast-developing embryos, particularly those cultured under low oxygen tension, exhibited transcript dynamics more closely resembling that reported in vivo-produced embryos.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".