Impact of in vitro production techniques on the expression of X‐linked genes in bovine (<i>bos taurus</i>) oocytes and pre‐attachment embryos
Bibliographic record
Abstract
Our previous studies showed that expression patterns of X-linked genes in cultured cells are different from those of their tissues of origin. This investigation analyses the transcription pattern of the X-linked genes BIRC4, GAB3, MECP2, RPS4X, SLC25A6, and XIST in bovine in vitro matured oocytes and in vitro fertilized embryos, and their in vivo counterparts. In vitro-derived pools of mature oocytes and pre-attachment embryos were obtained by: (a) TCM-199/serum with bovine oviductal epithelial cells as co-culture, and (b) synthetic oviductal fluid/BSA. Pools of in vivo-derived morulae and blastocysts were provided by a commercial embryo transfer operation. Total RNA was extracted for quantification of gene-specific transcript levels using real-time quantitative PCR. Statistical analysis was performed using a mixed model factorial ANOVA with alpha = 0.05. The effect of the in vitro environmental conditions on X-linked gene transcription was most evident during the fourth cell cycle, at the period of activation of the embryonic genome, and seemed to be less pronounced at later developmental stages, with the exception of BIRC4. The levels of X-linked genes transcripts in in vivo-derived embryos were lower relative to their in vitro counterparts for all genes tested. Finally, the pattern of expression of XIST in bovine oocytes and embryos was similar to that reported in humans. These results highlight the possibility that X-linked gene expression analysis is a useful tool to monitor the impact of reproductive biotechnologies on the developmental potential of embryos and aid in their improvement.
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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 | 0.000 |
| 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".