5α-dihydrotestosterone and the Wnt/β-catenin pathway in Danio rerio ovarian tissue following 2 and 4 hour incubations
Bibliographic record
Abstract
The Wnt/β-catenin signaling pathway regulates genes involved in proliferation and apoptosis. These two traits are hallmarks of cancer cells, which grow excessively and demonstrate low mortality. The Wnt/β-catenin pathway has been implicated in ovarian cancer, specifically epithelial ovarian cancer, wherein higher levels of β-catenin may be involved in the development of tumors. Ovarian epithelial tissue also displays high quantities of androgen receptors and thus may be more susceptible to changes in androgen concentration. This study investigated whether exogenous testosterone (DHT) utilized the Wnt/β-catenin pathway in Danio rerio ovarian tissue by monitoring β-catenin and GSK-3β mRNA expression through quantitative PCR analysis. Data showed that the concentrations of β-catenin and GSK-3β mRNA varied when exposed to DHT for different amounts of time (2 or 4 hours) and concentration of DHT (1, 10, 100 ng/mL). A longer exposure period (4 hr) produced statistically significant results that suggest DHT may inhibit the Wnt/β-catenin pathway; a shorter exposure time (2 hr) produced inconclusive results. Further research will investigate the protein concentrations of β-catenin and GSK-3β, as well as genes regulated by the pathway.
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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 | 0.000 | 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) | 0.002 | 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".