Bovine Oviduct Epithelial Cells Dedifferentiate Partly in Culture, While Maintaining their Ability to Improve Early Embryo Development Rate and Quality
Bibliographic record
Abstract
There are convincing arguments to suggest that the success of early reproductive events is reliant on a satisfactory dialogue between gametes-embryo and the oviduct epithelium. The aim of this study was to develop and characterize an in vitro model to study these interactions. Cattle zygotes produced in vitro were cultured in either SOF or TCM-199 in the presence or absence of bovine oviduct cell monolayers (BOEC), under 20% or 5% O2 . The embryonic development rate and its quality (cell numbers, cryosurvival) were evaluated, as were the BOEC contents in 11 candidate transcripts (real-time PCR) at different time points. A BOEC co-culture did indeed increase the rate of development in both media under 5% O2 (41 vs 27% and 28 vs 10% of Day 8 blastocysts in SOF and TCM-199, respectively; p < 0.05). The effect of BOEC on the developmental rate was more pronounced under 20% O2 (35 vs 6% and 27 vs 4% of Day 8 blastocysts in SOF and TCM-199, respectively; p < 0.05). BOEC significantly increased the embryonic cell count in TCM-199 (122.5 ± 11.1 vs 70.3 ± 9.6; p < 0.05) and embryonic cryosurvival in both media. The expression levels of SOD, FGF2 and TGF-β1 in BOEC remained steady during culture, although mRNA levels of OGP, C3, PGR and ESR2 were clearly reduced, suggesting a dedifferentiation of BOEC during culture. However, SSP1 and GPX4 transcripts were slightly increased during culture, this rise becoming significant by the end of the culture period. In conclusion, our co-culture system with bovine oviduct epithelial cells used for the development of bovine zygotes produced in vitro enhanced blastocyst formation and above all the quality of the resulting embryos, which was associated with specific transcriptomic changes.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".