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Graded constitutive NF-κB signaling in B cells drives SLL/CLL-like lymphomagenesis and overcomes microenvironment dependence [M002]

GSE289016 Mus musculus (mouse) RNA-seq (gene expression) 35 samples Submitted 2026/03/11 Platform GPL19057
At a glance

RNA-seq (gene expression) · mouse · 35 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
35 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
Strong constitutive NF-κB signaling in B cells drives SLL/CLL-like lymphomagenesis and overcomes microenvironmental dependenciesLeukemia · 2026
Summary (written by the submitters)
Aberrant activation of NF-κB transcription factors is a hallmark of human lymphoma. Many lymphoma- as well as microenvironment-associated alterations mediating enhanced NF-κB signaling occur upstream of the IκB Kinase complex and its key kinase IKK2, therefore affecting additional pathways. Here, we specifically investigated the effects of graded canonical NF-κB activation in mouse B cells, induced through the expression of one or two copies of a constitutively active IKK2 variant (IKK2ca).
Read the full summary ↓
Strong canonical NF-κB signaling drives an early expansion of B1a cells, culminating in lethal lymphomagenesis with complete penetrance. These B cell malignancies resemble human small lymphocytic lymphoma (SLL) and chronic lymphocytic leukemia (CLL) with respect to disease course, gene expression and stereotypic B cell receptor clonality. Mice with less pronounced canonical NF-κB activation presented delayed, more heterogeneous lymphomagenesis with lower penetrance, highlighting NF-κB dose-dependent effects. Mechanistically, we show that constitutive IKK2 signals provide a profound cell-intrinsic competitive advantage to B1a cells and strongly synergize with TCL1 overexpression, resulting in a severely accelerated and aggravated CLL-like disease. In addition, strong constitutive NF-κB activation overcomes the critical dependency of TC1tg lymphoma cells on obligate environmental maintenance signals. In conclusion, we provide direct in vivo proof for canonical NF-κB signals as an oncogenic driver in an animal model, and demonstrate reduced tumor microenvironment dependency as a key NF-κB-mediated mechanism in lymphomagenesis. Our findings underscore the pivotal role of this pathway in human SLL/CLL and its potential as a therapeutic target, particularly for aggressive/refractory disease.
Published in
Strong constitutive NF-κB signaling in B cells drives SLL/CLL-like lymphomagenesis and overcomes microenvironmental dependencies
Soberón V, Osswald L, Moore A et al. · Leukemia 2026 · PMID 41545700 · doi:10.1038/s41375-025-02844-8
This dataset
Open GSE289016 in finder → Find more mouse RNA-seq 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 GSE289016_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 PRJNA1220627 and SRA study SRP562204. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41545700) ↗
Study design
13 conditions, mostly in triplicate
Control, Peritoneal cavity, 3 month old, ×3 Control, Peritoneal cavity, old, ×3 Ikk2het, Peritoneal cavity, 3 months old, ×3 Ikk2hom, Peritoneal cavity, 3 months old, ×3 TCL1tgIkk2hetCD19cre, Peritoneal cavity, 3 mo… ×3 Control, Spleen, 3 month old, ×3 Ikk2hom, Spleen, 3 months old, ×3 TCL1tgCD19cre, Spleen, 3 months old, ×3 +6 more

Supports a between-group comparison across 34 samples.

How we read this: 13 replicated groups read from 35 sample titles; they account for 34 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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