Bulk mRNA-seq data from wild-type and prostate cancer-developing mice reveal a reprogramming of the estrogen and androgen responses after carcinogenesis
Bibliographic record
Abstract
Sex hormones are necessary for the development and functions of the normal prostate as well as for the initiation and progression of prostate tumors. Indeed, androgens and estrogens can activate their respective nuclear receptors to modulate the expression of multiple genes and pathways in prostate cells. Nevertheless, the androgen and estrogen responses in the normal prostate, and the transcriptomic changes occurring after carcinogenesis, remain poorly understood. Here, wildtype mice and transgenic mice that spontaneously develop prostate cancer (C57BL/6J PB-Cre4 +/− ; Pten fl/fl ) were castrated to ensure hormone deprivation. After three days, animals received injections of testosterone and/or estradiol. After one day, the prostates were harvested, and RNA was purified for sequencing. Sequencing data were then analyzed to study transcriptional modulations following hormonal exposures in normal and tumoral murine prostates. New analyses can be carried out with specific fold-change thresholds for gene expression, or with different pair-wise combinations between conditions (treatments and/or mouse models). Together, the data generated herein are a useful tool to study hormonal transcriptional responses in prostate and prostate cancer biology.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".