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The catalytic domain of SETD1B regulates H3K4me3 breadth and Myc expression in MLL-r leukemia (ChIP-seq_human)

GSE248322 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 17 samples Submitted 2025/04/28 Platform GPL18573Platform GPL24676
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 17 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)
Topic
Acute myeloid leukemiaThis series is part of our curated briefing on it.
Samples
17 samples: 17 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.
Paper
Regulation of H3K4me3 breadth and MYC expression by the SETD1B catalytic domain in MLL-rearranged leukemiaLeukemia · 2025
Summary (written by the submitters)
Histone H3 lysine 4 tri-methylation (H3K4me3) is abundant in MLL-rearranged (MLL-r) acute myeloid leukemia (AML) cells, but the enzymes responsible and their roles remain unclear. In this study, we perform a CRISPR-tiling screen against known H3K4 methylation modifiers in MLL-r AML model. We found the non-redundant roles of H3K4 methyltransferase SETD1B for growth regulation in NrasG12D or FLT3-ITD-expressing AML cells that exhibit cytokine-independent growth.
Read the full summary ↓
The disruption of SETD1B catalytic SET domain causes cell cycle arrest, apoptosis, cell differentiation and a downregulation of gene expression, especially in the MYC pathway. H3K4me3 and SETD1B are distributed to the gene body of Myc, and the loss of SETD1B SET domain result in a significant decrease in H3K4me3 breadth. Overexpression of MYC significantly restores the growth defect and transcriptional perturbation in SETD1B SET domain mutant cells. In the meantime, the expression of MYC does not rescue the reduced H3K4me3 breadth and RNA polymerase II elongation in SETD1B mutant cells. A disruption of H3K4 demethylase KDM5C enhances global H3K4me3 level and promotes the proliferation of AML cell, and partially rescues the defective cell growth of SETD1B SET domain mutant cells. These data indicate that SETD1B is required for both H3K4me3 breadth and Myc expression to support advanced AML cell proliferation. Thus, a thorough understanding of the SETD1B-mediated H3K4me3 breadth will be critical for the development of markers and therapies for leukemia subtypes that are MYC-dependent.
Published in
Regulation of H3K4me3 breadth and MYC expression by the SETD1B catalytic domain in MLL-rearranged leukemia
Izumi S, Ohtani K, Matsumoto M et al. · Leukemia 2025 · PMID 40341256 · doi:10.1038/s41375-025-02638-y
This dataset
Open GSE248322 in finder → Find more human ChIP / ATAC / CUT&Tag datasets → Acute myeloid leukemia landscape →
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 GSE248322_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 PRJNA1043208 and SRA study SRP473116. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40341256) ↗
Study design
17 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 17 sample titles: 17 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
More Acute myeloid leukemia datasets

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