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Gene expression analysis using RNA-Seq of pustular skin diseases

GSE280414 Homo sapiens (human) RNA-seq (gene expression) 129 samples Submitted 2025/03/04 Platform GPL11154
At a glance

RNA-seq (gene expression) · human · 129 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
Homo sapiens (human)
Samples
129 samples: 129 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
IL-36-driven pustulosis: Transcriptomic signatures match between generalized pustular psoriasis (GPP) and acute generalized exanthematous pustulosis (AGEP)The Journal of allergy and clinical immunology · 2025
Summary (written by the submitters)
The clinical and histopathological features of generalized pustular psoriasis (GPP), a rare but severe neutrophilic condition, overlap with those of acute generalized exanthematous pustulosis (AGEP), making a rapid and reliable distinction difficult. The aim of this study was to elucidate the molecular features of AGEP and GPP in order to identify potential diagnostic biomarkers.
Published in
IL-36-driven pustulosis: Transcriptomic signatures match between generalized pustular psoriasis (GPP) and acute generalized exanthematous pustulosis (AGEP)
Benezeder T, Bordag N, Woltsche J et al. · The Journal of allergy and clinical immunology 2025 · PMID 39978684 · doi:10.1016/j.jaci.2025.01.046
This dataset
Open GSE280414 in finder → Find more human 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 GSE280414_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 PRJNA1178544 and SRA study SRP541546. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 39978684) ↗
Study design
129 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 129 sample titles: 129 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

+ 89 more — browse all 129 samples with per-sample file links →

Datasets on a similar topic

Search all human 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.