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Dynamic STING repression orchestrates immune cell functionality across development and maturation.

GSE281969 Mus musculus (mouse) RNA-seq (gene expression) 8 samples Submitted 2026/07/29 Platform GPL28330
At a glance

RNA-seq (gene expression) · mouse · 8 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
8 samples: 3 × Male LSL-Sting1-N153S control N vs 3 × Male LSL-Sting1-N153S; Lck-cre NGroups 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
Dynamic STING repression orchestrates immune cell development and functionScience immunology · 2025
Summary (written by the submitters)
Stimulator of Interferon Genes (STING) is a critical component of the innate immune system. Mechanisms of STING-mediated type I interferon (IFN-I) signaling during infection are well studied in myeloid cells. However, homeostatic STING expression patterns and their regulation, particularly in lymphoid cells, are unknown. We established a Sting1IRES-EGFP reporter mouse to systematically characterize STING expression spatially in tissues and temporally along development of immune cells.
Read the full summary ↓
Using this reporter and conditional Sting1 transgenic mouse models, we show that STING expression is repressed in neutrophils and forced STING signaling and expression drives systemic inflammatory disease due to secretion of cytokines and chemokines by neutrophils. Additionally, we show that STING expression is temporally restricted during T lymphocyte development at the double positive stage. Forced STING expression and signaling severely impairs T lymphocyte development and reduces thymopoiesis independent of the type I IFN receptor (IFNAR1). Mechanistically, STING expression in the thymus is controlled via epigenetic silencing by DNA methyltransferase 1 (DNMT1). Forced STING signaling in the thymus favors lineage commitment to innate-like gd T cells rather than adaptive ab T cells, revealing a previously unanticipated role of STING in T lymphocyte fate choice. Using two syngeneic tumor models and a cohort of human colorectal cancer patients, we found that tumor-infiltrating CD8+ T lymphocytes gradually repress STING expression as a tumor grows and loss of STING expression strongly correlates with CD8+ T cell exhaustion. Together, our data demonstrates the physiological importance of controlled, rather than ubiquitous STING expression and uncovers STING expression dynamics as an important new dimension of STING pathobiology.
Published in
Dynamic STING repression orchestrates immune cell development and function
Knox K, Jeltema D, Dobbs N et al. · Science immunology 2025 · PMID 40053603 · doi:10.1126/sciimmunol.ado9933
This dataset
Open GSE281969 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 GSE281969_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 PRJNA1186532 and SRA study SRP545404. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40053603) ↗
Study design
3 × Male LSL-Sting1-N153S control N vs 3 × Male LSL-Sting1-N153S; Lck-cre N

Supports a between-group comparison across 6 samples.

How we read this: 2 replicated groups read from 8 sample titles; they account for 6 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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