← BioTransfer GEO Dataset Finder
GEO series

B-cell-Specific Wwox Deletion Promotes Plasmablastic Tumor Development and Pro-Inflammatory Signatures in a Myeloma Mouse Model

GSE288262 Mus musculus (mouse) RNA-seq (gene expression) 10 samples Submitted 2025/12/02 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 10 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
Mus musculus (mouse)
Samples
10 samples: 10 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
B-cell-specific Wwox deletion promotes plasmablastic tumor development and proinflammatory signatures in myeloma modelBlood neoplasia · 2025
Summary (written by the submitters)
Deletions and translocations affecting WWOX accompanied by loss of expression are frequently observed in B cell neoplasms and are linked to poor prognosis. Our previous research showed that Wwox deletion early in B cell development induces genomic instability, neoplastic transformation, and monoclonal gammopathies in mice. In this study, by crossing Cd19 Wwox knockout (KO) with Vk*MYC myeloma model mice, we generated a model with concurrent Wwox deletion and MYC activation, reproducing two common oncogenic alterations in B and plasma cell cancers.
Read the full summary ↓
We observed that Vk*MYC:Wwox KO mice exhibited significantly reduced survival rates primarily due to the development of plasmablastic plasmacytomas and lymphomas. Transcriptome profiling from bone marrow derived Cd138+ plasma cells and plasmablastic tumors revealed enrichment of biofunctions related to tumorigenic phenotype and inflammation activation upon Wwox deletion in Vk*MYC mice. Wwox KO plasmablastic tumors displayed mutations affecting classical cancer genes, DNA damage response (DDR) genes, as well as overexpression of Aid/Apobec family members associated to hypermutation and DDR mutational signatures. These findings illustrate the significant pathobiological effects of B cell specific Wwox deletion and support a relevant role for WWOX loss of function in B cell neoplastic progression towards more aggressive phenotypes.
Published in
B-cell-specific Wwox deletion promotes plasmablastic tumor development and proinflammatory signatures in myeloma model
Hussain T, Bramble MD, Liu B et al. · Blood neoplasia 2025 · PMID 41090157 · doi:10.1016/j.bneo.2025.100153
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 GSE288262_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: 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 PRJNA1216645 and SRA study SRP560459. Searching any of these in the dataset finder brings you back here.

Study design
10 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 10 sample titles: 10 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
Datasets on a similar topic

Search all mouse RNA-seq datasets in GEO →

Share this dataset

Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.