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MBNL1 hijacks a structured single-stranded distal DNA element to sustain FLT3 expression in KMT2A-rearranged leukemias

GSE263684 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 19 samples Submitted 2026/06/10 Platform GPL24676
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 19 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
Homo sapiens (human)
Samples
19 samples: 19 samples, each with a distinct title — no replicated groupsGroups 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.
Summary (written by the submitters)
The molecular mechanisms by which KMT2A-rearranged (KMT2A-r) leukemias maintains the oncogenic FLT3 expression remain largely unclear, limiting therapeutic opportunities. Here, we identify the RNA-binding protein MBNL1 as a novel positive regulator of FLT3 by DepMap dataset exploration and combinatorial CRISPR screens. MBNL1 promotes leukemia cell survival by sustaining FLT3 expression in a KMT2A-r context-dependent manner.
Read the full summary ↓
Mechanistically, we discover that MBNL1 recognizes a structured single-stranded DNA (ssDNA) element containing five consecutive guanines within the FLT3 enhancer, through MBNL1?s zinc finger domains and the C-terminal unstructured region.
This dataset
Open GSE263684 in finder → Find more human ChIP / ATAC / CUT&Tag datasets →
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.

Series matrix ↓
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 GSE263684_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
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.

Raw reads on ENA ↗

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 PRJNA1098737 and SRA study SRP500815. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
19 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 19 sample titles: 19 distinct titles with little repetition. 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
Datasets on a similar topic

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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.