Vitamin C-induced epigenomic remodelling in IDH1 mutant acute myeloid leukaemia
Bibliographic record
Abstract
The genomes of myeloid malignancies are characterized by epigenomic abnormalities. Heterozygous, inactivating ten-eleven translocation 2 (TET2) mutations and neomorphic isocitrate dehydrogenase (IDH) mutations are recurrent and mutually exclusive in acute myeloid leukaemia genomes. Ascorbic acid (vitamin C) has been shown to stimulate the catalytic activity of TET2 in vitro and thus we sought to explore its effect in a leukaemic model expressing IDH1 R132H . Vitamin C treatment induced an IDH1 R132H -dependent reduction in cell proliferation and an increase in expression of genes involved in leukocyte differentiation. Vitamin C induced differentially methylated regions that displayed a significant overlap with enhancers implicated in myeloid differentiation and were enriched in sequence elements for the haematopoietic transcription factors CEBPβ, HIF1α, RUNX1 and PU.1. Chromatin immunoprecipitation sequencing of PU.1 and RUNX1 revealed a significant loss of PU.1 and increase of RUNX1-bound DNA elements accompanied by their demethylation following vitamin C treatment. In addition, vitamin C induced an increase in H3K27ac flanking sites bound by RUNX1. On the basis of these data we propose a model of vitamin C-induced epigenetic remodelling of transcription factor-binding sites driving differentiation in a leukaemic model.
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.
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) | 0.001 | 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 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".