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ATR kinase inhibitors induce mitochondrial fission in CD8+ T cells and impair immune memory in vivo

GSE332992 Mus musculus (mouse) RNA-seq (gene expression) 10 samples Submitted 2026/06/01 Platform GPL30172
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: 5 × ATRi vs 5 × VehicleGroups 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)
The DNA damage response kinase ATR restrains CDK1 activity during S and G2 phases of the cell cycle, confining CDK1-driven processes to mitosis. ATR kinase inhibitors were originally developed to potentiate chemotherapy-induced DNA damage at stalled replication forks and to disrupt DNA damage-induced cell cycle checkpoints. Recent evidence, however, reveals that these inhibitors also disrupt cell cycle organization in cells that have not sustained any DNA damage.
Read the full summary ↓
We show that ATR kinase inhibitors potently trigger unscheduled mitochondrial fission, causing loss of mitochondrial mass in actively dividing CD8+ T cells that persists in memory CD8+ T cells. Moreover, ATR inhibition during the peak of CD8+ T cell expansion in a mouse model of LCMV Armstrong infection impairs the formation of immune memory. These findings carry significant clinical implications. ATR kinase inhibitors are currently being evaluated in clinical trials in combination with chemotherapy, radiation, and immune checkpoint inhibitors in patients where anti-tumor immune responses are recognized as a determinant of durable response. Our results identify an unexpected consequence of ATR inhibition that disrupts cellular metabolism with broad implications for both preclinical research and clinical application.
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 GSE332992_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 PRJNA1469593 and SRA study SRP703059. Searching any of these in the dataset finder brings you back here.

Study design
5 × ATRi vs 5 × Vehicle

Supports a between-group comparison across 10 samples.

How we read this: 2 replicated groups read from 10 sample titles; they account for 10 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
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