Differential mRNA expression in in vivo produced pre‐implantation embryos of dairy heifers and mature cows
Bibliographic record
Abstract
Decreasing fertility with increasing parity is considered to be a major constraint in the reproductive management of dairy cows. Even though pregnancy rates (PR) in mature cows have declined drastically in the last 50 years, it has remained constant in heifers. Early embryonic loss is a major cause for the loss of pregnancy in cows. Expression of developmentally important genes is vital for the function and survival of embryos. Hence, in this study, we compared the mRNA abundance of GLUT5, INFtau, HSP70, Na/K-ATPase, BAX, and BCL2 genes in the pre-implantation embryos of dairy heifers and mature cows. Heifers (n = 25) and cows (n = 20) were superovulated and artificially inseminated on the day of estrus. On day 7, the embryos were flushed and morphologically graded and RT-PCR was performed. HSP70 was expressed more in the grade I embryos in heifers than in cows, and in the grade I embryos of heifers than in grade II embryos of heifers. In pooled embryos (both grades I and II) of heifers and cows, expression for INFtau was greater in heifers than in cows. Grade I embryos had a higher expression of GLUT5 and Na/K-ATPase than the grade II embryos of cows. From this study, we conclude that there is differential expression of some developmentally important genes between embryos of heifers versus cows and between grades I and II embryos regardless of the embryo source. Future research will be necessary to elucidate any potential cause and effect between these genes and reduced PR observed in dairy cows.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".