Hormonal Regulation of Bovine Secretory Proteins Derived From Caput and Cauda Epididymal Epithelial Cell Cultures
Bibliographic record
Abstract
The goal of this study was to investigate the effect of hormones (testosterone, dihydrotestosterone [DHT], and hydrocortisone) on the protein secretion of caput and cauda epididymal epithelial cells cultured in principal cell medium (PCM). A confluent monolayer of caput and cauda epididymal epithelial cells was obtained from serum-containing PCM in the presence or absence of hormones after 7 days of culture at 38.5 degrees C (5% CO(2) in air). The protein secretion of epididymal epithelial monolayers incubated in serum-free PCM for 3 days was examined. The secreted proteins were separated by 2-dimensional sodium dodecyl sulfate-polyacrylamide gel electrophoresis (2D SDS-PAGE). A comparison of the different protein patterns showed 61 spots, of which 11 were secreted only in the presence of hormones, 3 appeared to show hormone-related changes, and 25 were region-specific. Most of these secreted proteins were low-molecular-weight acidic proteins. To obtain evidence of the epididymal origin of the secreted proteins, proteins present in caput and cauda epididymal plasma were analyzed. In conclusion, our data indicate that hormones influence the synthesis of a number of caput and cauda epididymal proteins. Some of these proteins could be important for improving our understanding of spermatozoa maturation and storage and their acquisition of fertilizing ability.
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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 | 0.000 | 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 | 0.000 |
| 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".