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USP22 is a novel vulnerability regulating MEIS1 protein abundance and gene transcription in KMT2Ar acute leukemia

GSE337426 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 10 samples Submitted 2026/07/07 Platform GPL34284
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 10 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
10 samples: 2 × MV411_MEIS1-ChIP vs 2 × MV411_USP22-ChIP vs 2 × SEM_MEIS1-ChIP vs 2 × SEM_USP22-ChIPGroups 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)
Patients with acute leukemias harboring translocations involving gene lysine methyltransferase 2A (KMT2A) have a poor prognosis due to chemotherapy resistance with rapid relapse following standard treatments. The resulting KMT2A fusion proteins dysregulate gene expression, leading to an upregulation of leukemogenic transcription factors such as HOXA9 and MEIS1, which drives leukemic transformation.
Read the full summary ↓
Although Menin inhibitors are proving to be promising new therapeutics for patients with KMT2A-rearranged (KMT2Ar) acute leukemia, resistance mechanisms have already been described and new therapeutic approaches for this patient subgroup must be identified. Here, a genome-wide CRISPR/Cas9 screen in a KMT2Ar B-cell acute lymphoblastic leukemia (ALL) cell line identified the deubiquitinase USP22 as a novel regulator of MEIS1 protein stability. USP22 is a member of the Spt-Ada-Gcn5 acetyltransferase (SAGA) multiprotein complex, which has crucial functions in shaping the chromatin landscape and modulating transcription. Genetic depletion of USP22 impaired cellular growth and proliferation in KMT2Ar acute leukemia models. Chromatin immunoprecipitation revealed cooperative binding between USP22 and MEIS1 at critical oncogenic target genes suggesting that USP22 safeguards leukemogenic transcription by protecting MEIS1 from proteasomal degradation. Genetic or chemical inhibition of USP22 led to polyubiquitination of MEIS1 resulting in proteasomal degradation and downregulation of the expression of target genes. Our study identifies USP22 as a novel regulator of MEIS1 protein stability, that could potentially be exploited as a therapeutic target in the future in KMT2Ar leukemias.
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 GSE337426_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 PRJNA1485081 and SRA study SRP714795. Searching any of these in the dataset finder brings you back here.

Study design
2 × MV411_MEIS1-ChIP vs 2 × MV411_USP22-ChIP vs 2 × SEM_MEIS1-ChIP vs 2 × SEM_USP22-ChIP

Supports a between-group comparison across 8 samples.

How we read this: 4 replicated groups read from 10 sample titles; they account for 8 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
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