H2A.Z overexpression promotes cellular proliferation of breast cancer cells
Bibliographic record
Abstract
We recently showed that histone H2A.Z, as well as members of the ATP-dependent p400 chromatin remodeling complex (p400.com), are essential components of estrogen receptor alpha (ERalpha) signaling. More specifically, we showed that H2A.Z and p400.com are incorporated into the promoter regions of ERalpha target genes only upon gene induction, and also in a cyclic fashion. RNAi-mediated cellular depletion of H2A.Z and p400.com strongly impedes estrogen-dependent growth of breast cancer cells as well as strongly affect ERalpha-target gene expression. Two mechanisms emerged from our studies of how H2A.Z incorporation within ERalpha-target regulatory regions can actually regulate estrogen-mediated signaling: (1) by stabilizing nucleosomes within the translational DNA axis, a process that allows general transcription factors to be efficiently recruited to promoter regions; (2) by allowing estrogen-responsive enhancer function. In the current study, we now show that in MCF7 cells, ectopic overexpression of H2A.Z increases proliferation, and such in conditions where estrogen levels are low. Also, immunohistochemical studies of breast cancer biopsies show that the presence of H2A.Z correlates highly with that of ERalpha, but is associated with high-grade ER-negative cancers. Finally we show that ERalpha directly associates to the H2A.Z promoter, and consequently modulates its expression. Our study provides a possible link between H2A.Z and endocrine resistance by showing that H2A.Z overexpression leads to increased growth, particularly when estrogen levels are very low.
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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 | 0.000 | 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) | 0.001 | 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 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".