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Mutant IDH1 cooperates with NPM1c or FLT3-ITD to drive distinct myeloid diseases and molecular outcomes

GSE215370 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 153 samples Submitted 2025/04/30 Platform GPL21103
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 153 samples

What it is
ChIP-seq / ATAC-seq (genome binding and open chromatin)Where proteins bind the genome, or which regions are open and active.
Organism
Mus musculus (mouse)
Samples
153 samples: 36 conditions, mostly with about 4 replicates eachGroups are read from the sample names, not from the paper. Check the list below.
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.
Paper
Mutant IDH1 cooperates with NPM1c or FLT3(ITD) to drive distinct myeloid diseases and molecular outcomesProceedings of the National Academy of Sciences of the United States of America · 2025
SuperSeries — this record groups several sub-series.
Summary (written by the submitters)
This SuperSeries is composed of the SubSeries listed below.
Published in
Mutant IDH1 cooperates with NPM1c or FLT3(ITD) to drive distinct myeloid diseases and molecular outcomes
Sakamoto T, Leca J, Zhang X et al. · Proceedings of the National Academy of Sciences of the United States of America 2025 · PMID 40377995 · doi:10.1073/pnas.2415779122
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 GSE215370_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 peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.

Also filed as BioProject PRJNA889922 and SRA study SRP402285. Searching any of these in the dataset finder brings you back here.

Study design
36 conditions, mostly with about 4 replicates each
6mo WT OxBS ×5 6mo IDH1 OxBS ×5 6mo NPM1 OxBS ×5 6mo IDH1NPM1 OxBS ×5 6mo FLT3 OxBS ×5 6mo IDH1FLT3 OxBS ×5 6mo WT RNA-Seq ×5 6mo IDH1 RNA-Seq ×5 +28 more

Supports a between-group comparison across 153 samples.

How we read this: 36 replicated groups read from 153 sample titles; they account for 153 of them. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.

Samples in this study

+ 113 more — browse all 153 samples with per-sample file links →

Datasets on a similar topic

Search all mouse RNA-seq datasets in GEO →

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Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.