Estrogen Suppresses Uterine Epithelial Apoptosis by Inducing Birc1 Expression
Bibliographic record
Abstract
The decision whether or not a cell undergoes apoptosis is determined by the opposing forces of pro- and antiapoptotic effectors. Here we demonstrate genetically that estrogen can tip this balance toward cell survival in uterine epithelial cells by inducing the expression of baculoviral inhibitors of apoptosis repeat-containing 1 (Birc1), a family of antiapoptotic proteins. In neonatal mice, both 17beta-estradiol and the potent synthetic estrogen diethylstilbestrol strongly suppress uterine epithelial apoptosis while markedly elevating Birc1 transcript level in an estrogen receptor-alpha-dependent manner. The induction of Birc1 before any effect on apoptosis suppression and failure of diethylstilbestrol to completely inhibit apoptosis in Birc1a-deficient uterine epithelium indicate a functional role for Birc1a in estrogen-mediated apoptosis suppression. In ovariectomized adult mice, expression of Birc1 is also induced by ovarian hormones, suggesting a role for these proteins in normal uterine physiology. We propose that by binding to active caspases, Birc1 proteins can eliminate them through proteasome degradation. These results for the first time establish Birc1 proteins as functional targets of estrogen in suppressing apoptosis in the uterus.
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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".