← BioTransfer GEO Dataset Finder
GEO series

Microglial NLRP3-gasdermin D activation impairs blood-brain barrier integrity through interleukin-1β-independent neutrophil chemotaxis upon peripheral inflammation

GSE263094 Mus musculus (mouse) RNA-seq (gene expression) 10 samples Submitted 2024/12/30 Platform GPL21103
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 conditions, mostly in duplicateGroups 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
Microglial NLRP3-gasdermin D activation impairs blood-brain barrier integrity through interleukin-1β-independent neutrophil chemotaxis upon peripheral inflammation in miceNature communications · 2025
Summary (written by the submitters)
Blood-brain barrier (BBB) disintegration emerges as a significant contributor to neuroinflammation; however, the biological processes governing BBB permeability under physiological conditions remain unclear. Here, we examined the potential role of NLRP3 inflammasome in BBB disruption following peripheral inflammatory challenges. Systemic lipopolysaccharide administration caused an NLRP3-dependent increase in BBB permeability and myeloid cell infiltration into the brain.
Read the full summary ↓
Using a cell-specific, hyperactive NLRP3-expressing mouse model, we found that microglial NLRP3 activation is crucial for peripheral inflammation-induced BBB disruption. In contrast, NLRP3 and microglial gasdermin D (GSDMD) deficiency remarkably attenuated lipopolysaccharide-induced BBB breakdown. Notably, IL-1 was unnecessary for this NLRP3-GSDMD-mediated BBB disruption. Instead, microglial NLRP3-GSDMD axis specifically upregulates CXCL chemokine around BBB via producing GDF-15, recruiting Cxcr2-containing neutrophils into the brain. Neutrophil depletion and Cxcr2 blockade significantly reduced NLRP3-mediated BBB impairment. Collectively, our findings unveiled the significant role of NLRP3-driven chemokine production for BBB disintegration, suggesting a potential therapeutic target to mitigate neuroinflammation.
Published in
Microglial NLRP3-gasdermin D activation impairs blood-brain barrier integrity through interleukin-1β-independent neutrophil chemotaxis upon peripheral inflammation in mice
Yoon SH, Kim CY, Lee E et al. · Nature communications 2025 · PMID 39814731 · doi:10.1038/s41467-025-56097-1
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 GSE263094_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 PRJNA1095828 and SRA study SRP499486. Searching any of these in the dataset finder brings you back here.

Study design
5 conditions, mostly in duplicate
Brain, WT PBS, ×2 Brain, WT LPS x1, ×2 Brain, WT LPS x2, ×2 Brain, KO PBS, ×2 Brain, KO LPS x2, ×2

Supports a between-group comparison across 10 samples.

How we read this: 5 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
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.