Time-Dependent Rescue of Gene Expression by Androgens in the Mouse Proximal Caput Epididymidis-1 Cell Line after Androgen Withdrawal
Bibliographic record
Abstract
Androgens are the primary regulators of epididymal structure and functions. Principal cells are the major cell type of the tissue and are particularly sensitive to androgen removal. To distinguish the direct effects of androgens on this cell type, DNA microarrays were used to identify androgen-regulated genes in the mouse proximal caput epididymidis (PC-1) cell line. PC-1 cells display tissue- and caput-specific gene expression. We examined changes in gene expression occurring 2, 4, and 6 d after androgen deprivation and 2 d after androgen supplementation after being deprived of androgen for 2 or 4 d. Changes in transcript levels were investigated for mediators of androgen action; selected genes were analyzed by real-time RT-PCR, and changes at the protein levels were examined. Four distinct patterns of gene expression were activated after androgen withdrawal; the vast majority of genes displayed an early or late transient increase in expression levels. A differential ability of rescue was seen among androgen-regulated genes, depending on time of androgen supplementation. Many of the genes that were rescued at 4 d were functionally linked by direct interactions and converged on IGF-I. The ability for rescue after 4 d of androgen deprivation was severely compromised in many genes belonging to specific functional gene families (cell adhesion, cell growth, apoptosis, and cell cycle) and may be mediated in part by changes in androgen receptor coregulator expression. These results provide novel insights into the mechanisms of androgen regulation in epididymal principal cells.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".