Direct Association between the CREB-Binding Protein (CBP) and Nuclear Receptor Corepressor (N-CoR)
Bibliographic record
Abstract
The binding of ligand to nuclear hormone receptors induces a conformational change that results in corepressor release and the recruitment of coactivator proteins that contain or recruit histone acetyltransferase (HAT) activity. As such, the coactivator and corepressor complexes and their associated HAT and histone deacytlase (HDAC) activities are often believed to be segregated into distinct complexes. However, there have been several reports that suggest that coactivators and corepressors may not be strictly segregated and in some cases even interact directly. In the present study, we have utilized a biochemical approach to assess whether the nuclear receptor corepressor (N-CoR) is capable of associating with the HAT coactivator CREB-binding protein (CBP). We demonstrate, using both immunoaffinity purification and conventional chromatography, that a subset of the N-CoR-HDAC3 complex copurifies with CBP in HeLa cells. In addition, indirect immunofluorescence also indicates an association between N-CoR and CBP in intact MCF-7 cells. This association may be direct as in vitro pulldown assays using recombinant purified proteins indicated that the amino terminus of N-CoR interacts directly with CBP. Interestingly, we also demonstrate that increasing concentrations of N-CoR are capable of attenuating CBP HAT activity in vitro, suggesting that N-CoR may have a functional role in modulating HAT activity. This is the first report of a direct interaction between N-CoR and CBP, and suggests that the role of N-CoR in mediating transcriptional events may be more complex than previously anticipated.
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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 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".