Effect of Estradiol on Histone Acetylation Dynamics in Human Breast Cancer Cells
Bibliographic record
Abstract
Histone acetylation plays an important role in remodeling chromatin structure, facilitating nuclear processes such as transcription. We investigated the effect of estradiol on global histone acetylation in hormone-responsive human breast cancer cells. Pulse-chase experiments and immunoblot analyses of dynamically acetylated histones show that estradiol rapidly increases histone acetylation in estrogen receptor (ER)-positive, hormone-dependent T5, but not in ER-negative, hormone-independent MDA MB 231 breast cancer cells. The effect of estradiol on the rates of histone acetylation and deacetylation in T5 cells was determined. We found that estradiol increased the level of acetylated histones by reducing the rate of histone deacetylation, whereas the rate of histone acetylation was not altered. Enzymatic assays and immunoblot analyses of cell fractions showed that estradiol did not affect the level, subnuclear distribution, or activity of class I and II histone deacetylases. However, estradiol did alter the intranuclear distribution of ER and histone acetyltransferases, with both becoming tightly bound in the nucleus and associated with the nuclear matrix. We propose that, following the association of ER with nuclear matrix sites, ER alters the balance of histone acetyltransferases and histone deacetylases at these sites and the dynamics of acetylation of histones associated with transcriptionally active and competent chromatin.
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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".