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Transcriptional profiling of DLBCL-like murine pBIC10 tumors (p53F/F; Blimp1F/F; IKK2castopF/stopF; Cg1Cre/+; IL-10F/F)

GSE255140 Mus musculus (mouse) RNA-seq (gene expression) 10 samples Submitted 2026/01/28 Platform GPL28430
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
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
IL-10 from tumoral B cells modulates the diffuse large B-cell lymphoma microenvironment and response to immunotherapyBlood · 2025
Summary (written by the submitters)
Germinal center (GC) B cells have been presented as the cell-of-origin of diffuse large B-cell lymphoma (DLBCL), and these cells can be functionally targeted with the use of Cgamma1-cre mice (Cg1cre) in which the expression of Cre recombinase is induced by transcription of the Ig gamma1 constant region gene segment. Here, we aimed to develop and characterize novel immunocompetent multi-lesion mouse models of DLBCL that, by triggering genetic alterations specifically in GC B cells, recapitulate relatively fast the molecular, cellular and tumor microenvironment of aggressive human DLBCL.
Published in
IL-10 from tumoral B cells modulates the diffuse large B-cell lymphoma microenvironment and response to immunotherapy
Garcia-Lacarte M, Grijalba SC, Melchor J et al. · Blood 2025 · PMID 39899878 · doi:10.1182/blood.2024025755
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 GSE255140_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 PRJNA1073604 and SRA study SRP488345. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 10 more — browse all 10 samples with per-sample file links →

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