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RBM15B Regulates progression of MLL-rearranged leukemia

GSE237261 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 36 samples Submitted 2025/12/05 Platform GPL24676
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 36 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
36 samples: 9 × DMSO-treated vs 9 × EPZ5676-treated vs 6 × RBM15B-knockdown vs 6 × RBM15B-NCGroups 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
RBM15B recognizes H3K79me2 to guide selective m(6)A-modification of mRNA and enhance oncoprotein translation in MLL-r leukemiaThe EMBO journal · 2026
Summary (written by the submitters)
We identified RBM15B that promotes progression of MLL-r leukemia. In this study, we preformed the m6A RIP-seq, RNA-seq and RBM15B CUT& Tag sequensing to found that RBM15B selectively regulated m6A modified region in the 5′ UTR and in part of the CDS around the start codon (two wings around start codon (TWINS)) of mRNA transcribed from target genes of MLL-fusion proteins, which is guided by histone modification H3K79me2.
Published in
RBM15B recognizes H3K79me2 to guide selective m(6)A-modification of mRNA and enhance oncoprotein translation in MLL-r leukemia
Chen TQ, Sun YM, Zhu SX et al. · The EMBO journal 2026 · PMID 41629530 · doi:10.1038/s44318-026-00707-1
This dataset
Open GSE237261 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 GSE237261_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 PRJNA994487 and SRA study SRP449319. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41629530) ↗
Study design
9 × DMSO-treated vs 9 × EPZ5676-treated vs 6 × RBM15B-knockdown vs 6 × RBM15B-NC

Supports a between-group comparison across 30 samples.

How we read this: 4 replicated groups read from 36 sample titles; they account for 30 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
Datasets on a similar topic

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