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REL deregulation stands as a primary hit for AID-imprinted B-cells along the germinal center competition

GSE282304 Mus musculus (mouse) RNA-seq (gene expression) 30 samples Submitted 2025/08/06 Platform GPL34290
At a glance

RNA-seq (gene expression) · mouse · 30 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
30 samples
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
Genetic deregulation of REL in germinal center B cells induces generation of a pool of lymphoma precursor cellsBlood advances · 2025
Summary (written by the submitters)
In diffuse large B-cell lymphomas (DLBCLs), gains and amplifications of the 2p15-16 region, which always encompass the REL gene, are mostly restricted to the germinal center (GC) B-cell DLBCL subtype (GCB-DLBCL) for which c-Rel is the pivotal Rel/NF-kB subunit. While REL also plays a key role in the GC reaction, its contribution to GCB-DLBCLs remains unclear.
Read the full summary ↓
At the transcriptomic and phenotypic level, we demonstrate that dysregulation of REL at the GC B-cell stage promotes GC B-cell expansion and favors both class-switch recombination and plasma cell differentiation. Additionally, although REL overexpression was neutral on post-GC memory B-cell differentiation, it did confer a long-term competitive advantage allowing for GC persistence and continuous recirculation of REL-overexpressing B-cells. Functionally, REL enhanced the protection against apoptosis in the early steps of GCB differentiation. Additionally, mRNA IGHV dominance was increased in REL-overexpressing B-cells and clonal expansion could be detected at the DNA level in some cases.
Published in
Genetic deregulation of REL in germinal center B cells induces generation of a pool of lymphoma precursor cells
Prévaud L, Ferhat K, Sensoy D et al. · Blood advances 2025 · PMID 40267227 · doi:10.1182/bloodadvances.2023012166
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 GSE282304_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 PRJNA1188104 and SRA study SRP546197. Searching any of these in the dataset finder brings you back here.

Samples in this study

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