The Mouse Mammary Tumor Virus Promoter Adopts Distinct Chromatin Structures in Human Breast Cancer Cells with and without Glucocorticoid Receptor
Bibliographic record
Abstract
Steroid receptors represent a class of transcription regulators that act in part by overcoming the often repressive nature of chromatin to modulate gene activity. The mouse mammary tumor virus (MMTV) promoter is a useful model for studying transcriptional regulation by steroid hormone receptors in the context of chromatin. The chromatin architecture of the promoter prevents the assembly of basal transcription machinery and binding of ubiquitous transcription factors. However, in human breast carcinoma T47D cells lacking the glucocorticoid receptor (GR), but expressing the progesterone receptor (PR), nucleosome B (nuc B) assumes a constitutively hypersensitive chromatin structure. This correlation led us to test the hypothesis that the chromatin structure of nuc B was dependent on GR expression in T47D cells. To examine this possibility, we stably co-transfected the MMTV promoter and the GR into T47D cells that lacked both the GR and the PR. We found that in T47D cells that lack both the GR and the PR or express only the GR, nuc B assumes a constitutively "open" chromatin structure, which allows hormone independent access by restriction endonucleases and transcription factors. These results suggest that in GR(+)/pr(-) T47D cells, the MMTV chromatin structure permits GR transcriptional activation, independent of chromatin remodeling.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".