Estrogen Responsiveness of the TFIID Subunit TAF4B in the Normal Mouse Ovary and in Ovarian Tumors1
Bibliographic record
Abstract
Estrogen signaling in the ovary is a fundamental component of normal ovarian function, and evidence also indicates that excessive estrogen is a risk factor for ovarian cancer. We have previously demonstrated that the gonadally enriched TFIID subunit TAF4B, a paralog of the general transcription factor TAF4A, is required for fertility in mice and for the proliferation of ovarian granulosa cells following hormonal stimulation. However, the relationship between TAF4B and estrogen signaling in the normal ovary or during ovarian tumor initiation and progression has yet to be defined. Herein, we show that Taf4b mRNA and TAF4B protein, but not Taf4a mRNA or TAF4A protein, are increased in whole ovaries and granulosa cells of the ovary after exposure to 17beta-estradiol or the synthetic estrogen diethylstilbestrol and that this response occurs within hours after stimulation. Furthermore, this increase occurs via nuclear estrogen receptors both in vivo and in a mouse granulosa cancer cell line, NT-1. We observe a significant increase in Taf4b mRNA in estrogen-supplemented mouse ovarian tumors, which correlates with diminished survival of these mice. These data highlight the novel response of the general transcription factor TAF4B to estrogen in the normal ovary and during ovarian tumor progression in the mouse, suggesting its potential role in regulating actions downstream of estrogen stimulation.
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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 | 0.000 |
| 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".