Quantitative expression of candidate genes for developmental competence in bovine two-cell embryos
Bibliographic record
Abstract
Only competent oocytes are able to undergo complete maturation and normal embryonic development. Therefore, the identification of genes that are differentially expressed in competent oocytes would contribute to our understanding of the factors controlling competency. It is well known that time of cleavage after insemination in vitro is highly correlated with embryonic developmental potential and this can be used to distinguish between oocytes of different quality. The main objective of this study was to identify genes associated with competency and rapid cleavage. We examined the expression of 16 candidate genes (IDH, YEAF Cathepsin B, RAD50, TCP1 NCOR1, HUEL, STK6, ZNF403, AOP2, EEF1A1, Hsp90, Hsp40, AKR1B1, PGRMC1, and DMRT2) in early and late cleaving embryos, by real time PCR. These transcripts were derived from previous study in our laboratory using cDNA coming from a suppressive subtraction hybridization (SSH) between early cleaving versus late cleaving embryos spotted on a microarray slide. Of the 16 genes evaluated, 3 (IDH, YEAF, and H2A) showed statistical difference (P < 0.05) between early and late cleaving embryos. However, some genes such as Cathepsin B (P = 0.0677), RAD50 (P = 0.0899), and TCP1 (P = 0.0824) tended to show higher expression in the early cleaving than in the late cleaving embryo. In conclusion, we have identified three genes (YEAF, IDH, H2A) that were differentially expressed in the early cleaving embryos, and their expression can be associated with greater developmental competence.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".