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NSD2 Degradation Remediates the Oncogenic Cistrome in t(4;14) Multiple Myeloma [ATAC-seq]

GSE328215 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 22 samples Submitted 2026/07/15 Platform GPL30173
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 22 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
22 samples: 8 conditions, mostly in duplicateGroups 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
NSD2 Degradation Remediates the Oncogenic Cistrome in t(4;14) Multiple MyelomaBlood · 2026
Summary (written by the submitters)
The t(4;14) chromosomal translocation drives overexpression of the histone methyltransferase NSD2 and defines a high-risk segment of multiple myeloma (MM) patients. Herein, we report the discovery of NSD2-LDD, a cereblon-recruiting and PWWP1-mediated ligand directed degrader (LDD) that selectively and potently eliminates full length and PWWP1 domain containing NSD2 protein.
Read the full summary ↓
NSD2-LDD treatment induces global loss of H3K36me2 leading to promoter-proximal spreading of H3K27me3 and re-wiring of cis-regulatory interactions that reverse t(4;14) transcriptional programs. These effects suppress MM disease-associated phenotypes including stromal adhesion, three-dimensional colony growth and paracrine signaling. By integrating patient single cell profiles with model 3D epigenomic and spatial transcriptomics, we delineate t(4;14) disease state and the tumor-intrinsic reprogramming and resultant remodeling of the bone marrow microenvironment upon NSD2 degradation. In cell line derived xenografts and genetically engineered mouse models of t(4;14), NSD2-LDD extends median survival accompanied by tumoral H3K36me2 loss and niche re-modelling. Collectively, this work validates NSD2 as a tractable dependency and supports clinical development of NSD2 degradation as a novel, targeted therapeutic strategy in high-risk MM.
Published in
NSD2 Degradation Remediates the Oncogenic Cistrome in t(4;14) Multiple Myeloma
Hu B, Edwards J, Modi H et al. · Blood 2026 · PMID 42371798 · doi:10.1182/blood.2025031998
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 GSE328215_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 PRJNA1454357 and SRA study SRP692363. Searching any of these in the dataset finder brings you back here.

Study design
8 conditions, mostly in duplicate
KMS11_DMSO_Dup1_Day ×2 KMS11_DMSO_Dup2_Day ×2 KMS11_NSD2LDD_Dup1_Day ×2 KMS11_NSD2LDD_Dup2_Day ×2 KMS34_DMSO_Dup1_Day ×2 KMS34_DMSO_Dup2_Day ×2 KMS34_NSD2LDD_Dup1_Day ×2 KMS34_NSD2LDD_Dup2_Day ×2 +6 more

Supports a between-group comparison across 16 samples.

How we read this: 8 replicated groups read from 22 sample titles; they account for 16 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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