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Oncogenic mechanisms of DIS3 mutations in Multiple Myeloma

GSE155631 Homo sapiens (human) RNA-seq (gene expression) 62 samples Submitted 2026/02/11 Platform GPL16791Platform GPL21626Platform GPL24247
At a glance

RNA-seq (gene expression) · human · 62 samples

What it is
RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
Organism
Homo sapiens (human)
Topic
Multiple myelomaThis series is part of our curated briefing on it.
Samples
62 samples: 13 conditions, mostly in triplicateGroups 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
DIS3 mutations enhance AID-driven translocations during B-cell activation, promoting transformation to multiple myelomaNature communications · 2026
Summary (written by the submitters)
DIS3 is mutated in multiple myeloma (MM), but the mechanism by which oncogenesis occurs specifically in B cell lineage remains to be established. Somatic DIS3 variants have substitutions enriched around its RNB domain, which in a dominant negative way, inactivate or reduce the exoribonucleolytic activity of this enzyme responsible for nuclear RNA degradation.
Read the full summary ↓
Here using knock-in mice with a clinical Dis3 G766R variant, we demonstrate a B cell-specific mutagenic effect that induces aberrant chromosomal translocations, increasing the incidence of plasmacytoma, a mouse model of early-stage MM. Dis3 G766R -dependent translocations display characteristics typical to aberrant activation-induced deaminase (AID) activity sites. Indeed, analysis of MM clinical samples revealed that in MM driver genes, DIS3 alleles lead to increased AID-dependent DNA lesions. Mechanistically, mutated DIS3 accumulates on chromatin-associated RNA substrates, including aberrant AID action sites, fostering oncogenic chromosomal rearrangements. Translocations occur during immunoglobulin class switch recombination, which otherwise proceeds unaffected both MM and the mouse model. In conclusion, MM DIS3 mutations lead to a gain-of-function phenotype and drive MM development, enhancing driver translocations.
Published in
DIS3 mutations enhance AID-driven translocations during B-cell activation, promoting transformation to multiple myeloma
Kuliński TM, Gewartowska O, Mahé M et al. · Nature communications 2026 · PMID 41832173 · doi:10.1038/s41467-026-70386-3
This dataset
Open GSE155631 in finder → Find more RNA-seq datasets → Multiple myeloma 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 GSE155631_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: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.

Also filed as BioProject PRJNA650522 and SRA study SRP275679. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41832173) ↗
Study design
13 conditions, mostly in triplicate
PE2_gfp ×3 DamOnly_Act ×3 Dis3G766R_Act ×3 Dis3WT_Act ×3 naive B-cells DIS3 G766R/+ ×3 naive B-cells DIS3 +/+ ×3 B-cells day 3 post in vtiro activation DIS3 G… ×3 B-cells day 3 post in vtiro activation DIS3 +… ×3 +31 more

Supports a between-group comparison across 36 samples.

How we read this: 13 replicated groups read from 62 sample titles; they account for 36 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

+ 22 more — browse all 62 samples with per-sample file links →

More Multiple myeloma datasets

Search all RNA-seq datasets in GEO →

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