← BioTransfer GEO Dataset Finder
GEO series

Glucocorticoids unleash immune-dependent melanoma control through inhibition of the GARP/TGFβ axis [RNA-seq]

GSE286519 Mus musculus (mouse) RNA-seq (gene expression) 31 samples Submitted 2025/10/21 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 31 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
31 samples: 8 conditions, mostly with about 5 replicates eachGroups 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
Glucocorticoids Unleash Immune-dependent Melanoma Control through Inhibition of the GARP/TGFβ AxisCancer discovery · 2026
Summary (written by the submitters)
Glucocorticoids were found to trigger immune-dependent control of an orthotopic melanoma model. This was found to be dependent on glucocorticoid receptor expression in the tumor cells. We used whole exome RNAseq of parental and glucocorticoid receptor knockout tumor cells in vivo and in vitro to identify the transcriptional changes induced following glucocorticoid treatment.
Published in
Glucocorticoids Unleash Immune-dependent Melanoma Control through Inhibition of the GARP/TGFβ Axis
Earnshaw CH, Dunn P, Chiang SC et al. · Cancer discovery 2026 · PMID 41086837 · doi:10.1158/2159-8290.CD-24-1224
This dataset
Open GSE286519 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 GSE286519_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 PRJNA1209855 and SRA study SRP556900. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41086837) ↗
Study design
8 conditions, mostly with about 5 replicates each
Control treated parental tumo ×5 Glucocorticoid treated parental tumo ×5 Control treated glucocorticoid receptor knock… ×5 Glucocorticoid treated glucocorticoid recepto… ×5 In vitro Control treated parental tumor cells ×3 In vitro Control treated glucocorticoid recep… ×3 In vitro glucocorticoid treated glucocorticoi… ×3 In vitro glucocorticoid treated parental tumo… ×2

Supports a between-group comparison across 31 samples.

How we read this: 8 replicated groups read from 31 sample titles; they account for 31 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

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.