Histone <scp>H</scp>3k9 and <scp>H</scp>3k27 Acetylation Regulates <scp>IL</scp>‐4/<scp>STAT</scp>6‐Mediated <scp>I</scp>gε Transcription in <scp>B</scp> Lymphocytes
Bibliographic record
Abstract
IL-4 activates STAT6 and causes the subsequent up-regulation of Ig heavy chain germline Igε via chromatin remodeling involved in B lymphocytes development. STAT6 acts as a molecular switch to regulate the higher-order chromatin remodeling via dynamically orchestrating co-activators (CBP/Tudor-SN) and co-repressors (HDAC1/PSF). Here, we demonstrated that STAT6/Tudor-SN/PSF form a complex, balancing the acetylation and deacetylation states to co-regulate IL-4/STAT6 gene transcription. In addition, we confirmed that IL-4 treatment increased the HATs activity in Ramos cells. As "active" markers, the expression of H3K9ac and H3K27ac increased after treatment with IL-4. However, transcriptional repressors such as H3K9me3 and H3K27me3 decreased in response to IL-4 stimulation. Moreover, IL-4 treatment enhanced H3 acetylation at the Igε promoter regions. Our results revealed that the Igε gene transcription is regulated by histone modifications in the IL-4/STAT6 pathway. The study will provide novel insights into the pathogenesis of allergic diseases.
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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) | 0.003 | 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".