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Distinctive CD39+CD9+ lung interstitial macrophages suppress IL-23/Th17-mediated neutrophilic asthma by inhibiting NETosis [scRNA-Seq]

GSE222456 Mus musculus (mouse) Single-cell RNA-seq 12 samples Submitted 2024/08/30 Platform GPL24247
At a glance

Single-cell RNA-seq · mouse · 12 samples

What it is
Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
Organism
Mus musculus (mouse)
Samples
12 samples: 3 × PBS_RNA vs 3 × OVA_RNA vs 3 × Dex_RNA vs 3 × p19_RNAGroups 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
Distinctive CD39(+)CD9(+) lung interstitial macrophages suppress IL-23/Th17-mediated neutrophilic asthma by inhibiting NETosisNature communications · 2024
Summary (written by the submitters)
IL-23-Th17 signaling axis is responsible for neutrophilic inflammation in various barrier tissues. However, mechanistic links between IL-23 and Th17 activation remain unclear, despite of their critical contribution to chronic inflammatory diseases. Here, we discovered a novel signaling pathway linking IL-23 to Th17 activation in our neutrophil-dominant asthma (NDA) model.
Read the full summary ↓
Through single-cell multi-omics analysis, we identified distinctive CD39+CD9+ interstitial macrophages (IMs) suppressed by IL-23. CD39+CD9+ IMs increased by IL-23p19 inhibitor suppressed NETosis, which inhibited Th17 activation. To inhibit NETosis, CD39+CD9+ IMs first attach to neutrophils in a CD9-dependent manner, and then remove ATP molecules near neutrophils in a CD39-dependent manner. Thus, our discovery of CD39+CD9+ IMs provides previously unrecognized signaling component linking IL-23 and NETosis for controlling Th17 activation/neutrophilic inflammation. We finally demonstrated the decreased number of CD39+CD9+ immune cells in patients with severe chronic rhinosinusitis and inflammatory bowel disease, suggesting CD39+CD9+ IMs as potential therapeutic targets for IL-23-Th17-mediated inflammatory diseases.
Published in
Distinctive CD39(+)CD9(+) lung interstitial macrophages suppress IL-23/Th17-mediated neutrophilic asthma by inhibiting NETosis
Han S, Kim B, Hyeon DY et al. · Nature communications 2024 · PMID 39366998 · doi:10.1038/s41467-024-53038-2
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 GSE222456_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.

Also filed as BioProject PRJNA922146 and SRA study SRP416633. Searching any of these in the dataset finder brings you back here.

Study design
3 × PBS_RNA vs 3 × OVA_RNA vs 3 × Dex_RNA vs 3 × p19_RNA

Supports a between-group comparison across 12 samples.

How we read this: 4 replicated groups read from 12 sample titles; they account for 12 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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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.