Expression of steroidogenic proteins in bovine placenta during the first half of gestation
Bibliographic record
Abstract
The aim of the present study was to determine the occurrence and localisation of the principal steroidogenic proteins in bovine placenta from Day 50 to Day 120 of pregnancy. Immunohistochemistry revealed that, at all stages investigated, bovine steroidogenic acute regulatory protein (StAR), cytochrome P45011A1 and hydroxy-δ-5-steroid dehydrogenase, 3β- and steroid δ-isomerase 1 proteins were found principally at the fetomaternal interdigitations: the chorionic villus and maternal septum. Moreover, caruncular epithelial cells and uninucleate trophoblast cells were the principal cells detected that were positive for the three markers. Western blot analysis showed that only caruncular tissue expressed all three steroidogenic markers; in contrast, cotyledons only expressed StAR and cytochrome P45011A1. Immunoblot results showed a complementary pattern of StAR and cytochrome P45011A1 expression between caruncles and cotyledons at different stages. These observations suggest that, in early pregnancy, the maternal compartment contributes significantly to bovine placental steroidogenesis, particularly for the synthesis of progesterone. Furthermore, the variation in StAR and cytochrome P45011A1 expression between caruncular and cotyledonary tissues across gestation suggests that placental steroidogenesis requires cell-to-cell communication between maternal and fetal cells.
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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 | 0.001 | 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".