Acetylation-Induced Transcription Is Required for Active DNA Demethylation in Methylation-Silenced Genes
Bibliographic record
Abstract
A hallmark of vertebrate genes is that actively transcribed genes are hypomethylated in critical regulatory sequences. However, the mechanisms that link gene transcription and DNA hypomethylation are unclear. Using a trichostatin A (TSA)-induced replication-independent demethylation assay with HEK 293 cells, we show that RNA transcription is required for DNA demethylation. Histone acetylation precedes but is not sufficient to trigger DNA demethylation. Following histone acetylation, RNA polymerase II (RNAP II) interacts with the methylated promoter. Inhibition of RNAP II transcription with actinomycin D, alpha-amanitin, or CDK7-specific small interfering RNA inhibits DNA demethylation. H3 trimethyl lysine 4 methylation, a marker of actively transcribed genes, was associated with the cytomegalovirus promoter only after demethylation. TSA-induced demethylation of the endogenous cancer testis gene GAGE follows a similar sequence of events and is dependent on RNA transcription as well. These data suggest that DNA demethylation follows rather than precedes early transcription and point towards a novel function for DNA demethylation as a memory of actively transcribed genes.
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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".