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STAT1-dependent expression in kidney endothelium from mice challenged with LPS

GSE300619 Mus musculus (mouse) RNA-seq (gene expression) 32 samples Submitted 2025/08/11 Platform GPL24247
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: 32 samples, each with a distinct title — no replicated groupsGroups 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
Endothelial STING and STAT1 mediate IFN-independent effects of IL-6 in an endotoxemia-induced model of shockThe Journal of clinical investigation · 2025
Summary (written by the submitters)
Severe systemic inflammatory reactions, including sepsis, often lead to shock, organ failure and death, in part through an acute release of cytokines that promote vascular dysfunction. However, little is known about the vascular endothelial signaling pathways regulating the transcriptional profile in failing organs. Among all the cytokines altered during a cytokine storm, IL-6 levels are particularly informative, as they correlate with systemic disease severity and are highly predictive of mortality.
Read the full summary ↓
Here, we show that loss of endothelial expression of the IL-6 pathway inhibitor, SOCS3, promotes a type I interferon (IFNI)-like gene signature in response to endotoxemia in mouse kidneys and brains. In cultured primary human endothelial cells, IL-6 induces a transient IFNI-like gene expression in a non-canonical, interferon-independent fashion. We further show that STAT3, which we had previously shown to control IL-6-driven endothelial barrier function, is dispensable for this activity. Instead, IL-6 promotes a transient increase in cytosolic mitochondrial DNA and requires STAT1, cGAS, STING, and the IRFs 1, 3, and 4. Inhibition of this pathway in endothelial-specific STING knockout mice or global STAT1 knockout mice leads to reduced severity of an acute endotoxemic challenge and prevents the endotoxin-induced IFNI-like gene signature. These results suggest that permeability and DNA sensing responses are driven by parallel pathways downstream of this cytokine, provide new insights into the complex response to acute inflammatory responses, and offer the possibility of novel therapeutic strategies for independently controlling the intracellular responses to IL-6 in order to tailor the inflammatory response.
Published in
Endothelial STING and STAT1 mediate IFN-independent effects of IL-6 in an endotoxemia-induced model of shock
Martino N, Sanders EK, Bossardi Ramos R et al. · The Journal of clinical investigation 2025 · PMID 40956626 · doi:10.1172/JCI189570
This dataset
Open GSE300619 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 GSE300619_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 PRJNA1281567 and SRA study SRP594241. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40956626) ↗
Study design
32 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 32 sample titles: 32 distinct titles with little repetition. 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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