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Tet2 and Tet3 functionally overlap in vitamin C-induced epigenomic alterations in acute myeloid leukemia

GSE151211 Mus musculus (mouse) DNA methylation 49 samples Submitted 2025/03/30 Platform GPL17021
At a glance

DNA methylation · mouse · 49 samples

What it is
DNA methylationChemical marks on DNA that help switch genes on or off.
Organism
Mus musculus (mouse)
Samples
49 samples
Data you can get
A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
Summary (written by the submitters)
Heterozygous mutations that impair the demethylase activity of the ten eleven translocation (TET) enzyme family are frequent events in de novo acute myeloid leukemia (AML). Although both TET2 and TET3 are highly expressed in AML blasts and murine leukemic models, only TET2 is mutated in AML patients, suggesting a divergent oncogenic relevance.
Read the full summary ↓
To define the individual functions of TET2 and TET3, we inactivated both genes individually and in combination in a HoxA9/IDH1R132H murine AML model and analyzed the resulting transcriptional and epigenetic states in the presence and absence of the TET co-factor vitamin C. Despite their distinct DNA-binding characteristics, we found that Tet2- and Tet3- regulated enhancer:gene networks largely overlap and that they elicit similar cytomorphological changes when perturbed. Overall, our findings suggest that despite their divergent oncogenic relevancy, Tet2 and Tet3 act on a common myeloid differentiation pathway that can independently be activated by either Tet2 or Tet3.
This dataset
Download · which file do I need?

Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.

1 · Just have a look

Processed table

The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE151211_RAW.tar (it can run to tens of gigabytes).

3 · Start from the raw reads

Raw sequencing reads

The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.

What the files usually look like: Look for beta-value tables or raw IDAT files among the supplementary files.

Also filed as BioProject PRJNA635130 and SRA study SRP264816. Searching any of these in the dataset finder brings you back here.

Samples in this study

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