Differential Expression of Claudin Family Proteins in Mouse Ovarian Serous Papillary Epithelial Adenoma in Aging FSH Receptor-Deficient Mutants
Bibliographic record
Abstract
Ovarian cancer is a deadly disease with long latency. To understand the consequences of loss of follicle-stimulating hormone receptor (FSH-R) signaling and to explore why the atrophic and anovulatory ovaries of follitropin receptor knockout (FORKO) mice develop different types of ovarian tumors, including serous papillary epithelial adenoma later in life, we used mRNA expression profiling to gain a comprehensive view of misregulated genes. Using real-time quantitative reverse transcription-polymerase chain reaction, protein analysis, and cellular localization, we show, for the first time, in vivo evidence that, in the absence of FSH-R signaling, claudin-3, claudin-4, and claudin-11 are selectively upregulated, whereas claudin-1 decreases in ovarian surface epithelium and tumors in comparison to wild type. In vitro experiments using a mouse ovarian surface epithelial cell line derived from wild-type females reveal direct hormonal influence on claudin proteins. Although recent studies suggest that cell junction proteins are differentially expressed in ovarian tumors in women, the etiology of such changes remains unclear. Our results suggest an altered hormonal environment resulting from FSH-R loss as a cause of early changes in tight junction proteins that predispose the ovary to late-onset tumors that occur with aging. More importantly, this study identifies claudin-11 overexpression in mouse ovarian serous cystadenoma.
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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 | 0.000 | 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".