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
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
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.
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 | 0.004 | 0.018 |
| Meta-epidemiology (narrow) | 0.003 | 0.003 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it