TET1 Modulates H4K16 Acetylation by Interacting with hMOF to Regulate Expression of DNA Repair Genes and Oncogenic Transformation
Bibliographic record
Abstract
ABSTRACT The Ten Eleven Translocation 1 (TET1) protein is a DNA demethylase that regulates gene expression through alteration of DNA methylation. Recent studies have demonstrated that TET1 could modulate transcriptional expression independent of its DNA demethylation activity; however, the detailed mechanisms underlying TET1’s role in such transcriptional regulation remain not well understood. Here, we uncovered that Tet1 formed a chromatin complex with histone acetyltransferase Mof and scaffold protein Sin3a in mouse embryonic stem cells by integrative genomic analysis using publicly available ChIP-seq data sets. Specifically, the TET1/SIN3A/hMOF complex mediates acetylation of histone H4 at lysine 16, via facilitating the binding of hMOF on chromatin, to regulate expression of important DNA repair genes in DNA double strand breaks, including TP53BP1 , RAD50 , RAD51 , and BRCA1 , for homologous recombination and non-homologous end joining repairs. Under hydrogen peroxide-induced DNA damage, dissociation of TET1 and hMOF from chromatin, concurrent with increased binding of SIRT1 on chromatin, led to hypo-acetylation of H4K16, reduced expression of these DNA repair genes, and DNA repair defects in a DNA methylation independent manner. A similar epigenetic dynamic alteration was also observed in H-RAS V12 oncogenic-transformed cells, supporting the notion that suppression of TET1 downregulates DNA repair genes through modifying H4K16ac, instead of its demethylation function, and therefore contribute to tumorigenesis. Taken together, our results suggested a mechanistic link between a novel TET1 complex and H4K16ac, DNA repair genes expression, and genomic instability.
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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".