Expression of uterine and cervical epithelial cadherin during relaxin-induced growth in pigs
Bibliographic record
Abstract
Epithelial cadherin (E-cadherin), a member of the cadherin family of calcium-dependent adhesion molecules, is present in reproductive tissues. Relaxin, a hormone important for uterine and cervical growth in pigs, increases the expression of E-cadherin in the MCF-7 mammary epithelial cell line. The objective of this study was to characterize the expression of E-cadherin during relaxin-induced growth of the uterus and cervix in an immature pig model, independent of high circulating steroids. After administration of relaxin to prepubertal gilts, the uterus and cervix were collected. E-cadherin mRNA and protein were measured by northern and western blot analysis, respectively. A 120 kDa protein band, corresponding to E-cadherin, was detected in all tissues examined. Relaxin significantly (P < 0.05) increased the amount of E-cadherin protein in the uterus (P < 0.05), whereas no significant changes were observed in E-cadherin protein in the cervix. A 4.2 kb E-cadherin transcript was detected in all tissues and E-cadherin mRNA was significantly higher (P < 0.05) in uteri from relaxin-treated gilts compared with control gilts. E-cadherin was localized by immunocytochemistry to the epithelial cells of the uterine and cervical lumen, and the uterine glandular epithelium. Quantitative analysis revealed that administration of relaxin significantly increased (P < 0.05) the height of the uterine luminal epithelium compared with that of the controls. This is the first report of the expression of E-cadherin in the uterus and cervix of pigs. The findings from this study indicate that relaxin increases the expression of uterine E-cadherin in the reproductive tract of pigs. Administration of relaxin to prepubertal gilts in vivo increased uterine epithelial cell growth independent of circulating steroids, with a concomitant increase in E-cadherin expression.
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 | 0.001 |
| 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".