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Dynamic neutrophil-keratinocyte communication network centered on IL-36/TNFSF15 responses characterizes inflammatory responses in generalized pustular psoriasis.

GSE309097 Homo sapiens (human) Single-cell RNA-seq 17 samples Submitted 2025/10/29 Platform GPL24676
At a glance

Single-cell RNA-seq · human · 17 samples

What it is
Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
Organism
Homo sapiens (human)
Samples
17 samples: 13 × 230628_Flex_GPP vs 4 × 230712_Flex_HCGroups 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 neutrophil-keratinocyte communication network centered on IL-36/TNFSF15 responses characterizes inflammatory responses in generalized pustular psoriasisNature communications · 2025
Summary (written by the submitters)
Generalized pustular psoriasis (GPP) is a severe subtype of psoriasis characterized by epidermal neutrophil infiltration, often presenting as acute, potentially life-threatening flares. However, the characterization of the immune micro-environment in GPP lesions remains largely unknown. Here, we used single-cell RNA profiling to interrogate the transcriptomes of 60,000 single cells from GPP lesional skin (n=13) and healthy adult skin (n=4), combined with spatial transcriptomics.
Read the full summary ↓
We identified a unique neutrophil subset lacking CASP8 expression but exhibiting elevated levels of inflammatory pathway genes, including RIPK1, NFKB1, IL1B, CXCL1, and CXCL8 in GPP flares, illustrating neutrophil transition from pre-inflammatory to a pro-inflammatory state, and activation of a communication network between IL36G+ keratinocytes and neutrophils in GPP lesions, with TNFSF15 (TL1A) released from neutrophils exaggerating the inflammatory crosstalk. We further demonstrated that fibroblasts and capillary endothelial cells function as central communication hubs in GPP, through dynamic receptor-ligand interactions with several spatially proximate immune cells, including T cells, neutrophils, and macrophages. In this work, we provide an in-depth view of immune cell participation and highlight the role of neutrophil-keratinocyte crosstalk in GPP pathogenesis.
Published in
Dynamic neutrophil-keratinocyte communication network centered on IL-36/TNFSF15 responses characterizes inflammatory responses in generalized pustular psoriasis
Jiang R, Kirma J, Fox J et al. · Nature communications 2025 · PMID 41436466 · doi:10.1038/s41467-025-67917-9
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 GSE309097_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 PRJNA1333953. Searching any of these in the dataset finder brings you back here.

Study design
13 × 230628_Flex_GPP vs 4 × 230712_Flex_HC

Supports a between-group comparison across 17 samples.

How we read this: 2 replicated groups read from 17 sample titles; they account for 17 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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