Quantitative analysis of sperm mRNA in the pig: relationship with early embryo development and capacitation
Bibliographic record
Abstract
Although it is well known that mRNA is present in mammalian spermatozoa, the relevance of mRNA to capacitation and early embryo development in the pig remains unclear. In the present study, we investigated differences in the abundance of selected mRNAs coding for MYC, CYP19, ADAM2, PRM1 and PRM2 in purified porcine spermatozoa depending on embryo cleavage rate and capacitation (n=20 semen samples). Semen samples were used in IVF procedures, with subsequent embryo development classified into one of two groups based on cleavage rate (i.e. high (>75%) and low (<75%) cleavage groups) and mRNA abundance in purified spermatozoa compared between these two groups. In addition, mRNA abundance was compared between capacitated and non-capacitated spermatozoa. Comparison of mRNA levels between porcine spermatozoa revealed that the abundance of MYC, CYP19, ADAM2, PRM1 and PRM2 mRNA was significantly greater in the high cleavage group (n=10 high cleavage group semen samples) than in the low cleavage group (n=10; P<0.05). Significant downregulation of MYC mRNA was observed in capacitated spermatozoa (n=12; P<0.05). The results of the present study suggest that the amount of specific mRNAs could be used for estimating the quality of spermatozoa in the pig.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".