← BioTransfer GEO Dataset Finder
GEO series

Muscleblind-like proteins are novel modulators of the tumor-immune microenvironment

GSE261415 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2025/03/10 Platform GPL21103
At a glance

RNA-seq (gene expression) · mouse · 12 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
12 samples: 3 × No template control untreated vs 3 × No template control IFNg treated vs 3 × MBNL1 MBNL2 DKO untreated vs 3 × MBNL1 MBNL2 DKO IFNg treatedGroups 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.
Summary (written by the submitters)
Exploiting the immune system to target and eradicate cancer cells is an area of intense clinical study. However, the underlying mechanisms that shape the tumor-immune microenvironment remain poorly understood. Here, we identify Muscleblind-like (MBNL) proteins as novel modulators of the tumor microenvironment across diverse cancer types.
Read the full summary ↓
Initially, in a mouse melanoma model, we demonstrate that loss of MBNL expression drives reduced cytotoxic CD8+ T cell tumor infiltrate and increased tumor cell viability. This causes an attenuated response to inflammatory stimulation with interferon gamma and concomitantly reduced antigen presentation by MHC Class I. We then extended these studies to 29 human cancer types from extensive analysis of TCGA to find that high MBNL1 expression was consistently associated with augmented cytotoxic T cell tumor infiltration. These new insights position MBNL proteins as critical players shaping the immune landscape across diverse malignancies.
This dataset
Open GSE261415 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 GSE261415_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 PRJNA1086905 and SRA study SRP494770. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
3 × No template control untreated vs 3 × No template control IFNg treated vs 3 × MBNL1 MBNL2 DKO untreated vs 3 × MBNL1 MBNL2 DKO IFNg treated

Supports a between-group comparison across 12 samples.

How we read this: 4 replicated groups read from 12 sample titles; they account for 12 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.