← BioTransfer GEO Dataset Finder
GEO series

Effect of propranolol on murine B16F10 metastasis-bearing lungs or on monocytes isolated from these lungs

GSE275763 Mus musculus (mouse) RNA-seq (gene expression) 26 samples Submitted 2025/09/17 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 26 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
26 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
β-adrenergic signaling blockade attenuates metastasis through activation of cytotoxic CD4 T cellsNature communications · 2025
Summary (written by the submitters)
We demonstrate that the β-blocker propranolol strongly reduces lung metastasis in multiple murine models, with the reduction being completely dependent on CD4+ T cells. To dissect the underlying mechanisms behind the anti-metastatic effect of propranolol, an experimental B16F10 lung metastasis model was combined with propranolol treatment. Total lung RNA or RNA from FACS-isolated lung monocytes and magnetic bead-isolated CD4+ T-cells were subjected to RNA sequencing.
Published in
β-adrenergic signaling blockade attenuates metastasis through activation of cytotoxic CD4 T cells
Fjæstad KY, Johansen AZ, Linder H et al. · Nature communications 2025 · PMID 41249783 · doi:10.1038/s41467-025-65048-9
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 GSE275763_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 PRJNA1152954 and SRA study SRP528895. Searching any of these in the dataset finder brings you back here.

Samples in this study

The sample list for this study is not cached yet. Press Load samples and it will be fetched from NCBI.

+ 26 more — browse all 26 samples with per-sample file links →

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.