Brahma-Related Gene 1-Dependent STAT3 Recruitment at IL-6-Inducible Genes
Bibliographic record
Abstract
IL-6 is an immunoregulatory cytokine with multiple functions in hemopoiesis, proliferation, and tumorigenesis. IL-6 triggers phosphorylation, dimerization, and nuclear translocation of STAT3, which binds to target promoters and activates transcription. Brahma-related gene 1 (BRG1), the enzymatic engine of the yeast-mating type-switching and sucrose-nonfermenting chromatin-remodeling complex, is essential for recruitment of STAT1 or STAT1/STAT2-containing complexes to IFN targets. We hypothesized that BRG1 might also be required for STAT3 recruitment. In this study, we show that induction of a subset of human IL-6-responsive genes is BRG1 dependent. BRG1 is constitutively present at these targets and is required for STAT3 recruitment, downstream histone modifications, and IL-6-induced chromatin remodeling. IL-6-induced recruitment of STAT3 to the IFN regulatory factor 1 promoter and subsequent mRNA synthesis is BRG1 dependent, even though IFN-gamma-mediated STAT1 recruitment to this locus is BRG1 independent. BRG1 also increased basal expression of IFN-induced transmembrane protein 3 and IFN-gamma-induced protein 16, and the basal chromatin accessibility at the promoter of IFN regulatory factor 1. The effect on basal expression was STAT3 independent, as revealed by small interfering RNA knockdown. Together with prior observations, these data reveal that BRG1 has a broad role in mediating STAT accessibility at multiple cytokine-responsive promoters and exposes promoter specific differences in both the effect of BRG1 on basal chromatin accessibility and on access of different STAT proteins to the same target.
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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 | 0.001 | 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".