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Oxidative stress induced telomere instability/damage drives T cell dysfunction in cancer

GSE252120 Mus musculus (mouse) RNA-seq (gene expression) 32 samples Submitted 2025/09/15 Platform GPL30172
At a glance

RNA-seq (gene expression) · mouse · 32 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
32 samples: 10 conditions, mostly in triplicateGroups 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
Oxidative-stress-induced telomere instability drives T cell dysfunction in cancerImmunity · 2025
Summary (written by the submitters)
The tumor microenvironment imposes immunologic and metabolic stresses sufficient to deviate immune cell differentiation into dysfunctional fates like exhaustion. Our data show that dysfunctional T cells in cancer do not harbor short telomeres indicative of replicative senescence, but rather harbor damaged telomeres, which we hypothesized arose from oxidative stress.
Read the full summary ↓
Chemo-optogenetic induction of localized mitochondrial or telomeric reactive oxygen species (ROS) using a novel photosensitizer caused DNA damage at telomeres and was sufficient to drive a dysfunctional state in newly activated T cells, with diminished capability for cytokine production. Localizing the ROS scavenger GPX1 directly to telomeres reduced telomere fragility in tumors and improved the function of therapeutic T cells. Protecting telomeres through expression of a telomere-targeted antioxidant protein may preserve T cell function in the tumor microenvironment and drive superior responses to adoptive cell therapies.
Published in
Oxidative-stress-induced telomere instability drives T cell dysfunction in cancer
Rivadeneira DB, Thosar S, Quann K et al. · Immunity 2025 · PMID 40930086 · doi:10.1016/j.immuni.2025.08.008
This dataset
Open GSE252120 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 GSE252120_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 PRJNA1057824 and SRA study SRP480324. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40930086) ↗
Study design
10 conditions, mostly in triplicate
PMIA ×4 GPX ×4 TRF1FAP_light ×3 TRF1FAP_lightdye ×3 MitoFAP_light ×3 MitoFAP_lightdye ×3 d7_mitoFAP_light ×3 d7_mitoFAP_lightdye ×3 +2 more

Supports a between-group comparison across 32 samples.

How we read this: 10 replicated groups read from 32 sample titles; they account for 32 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

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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.