GEO series

Positionally distinct interferon-stimulated dermal immune-acting fibroblasts promote neutrophil recruitment in Sweet's syndrome [RNA-seq]

GSE298908 Homo sapiens (human) RNA-seq (gene expression) 113 samples Submitted 2025/08/22 Platform GPL24676

At a glance

RNA-seq (gene expression) · human · 113 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: 113 samples: 76 × 2393-XX vs 37 × 2705-XXGroups 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: Positionally distinct interferon-stimulated dermal immune-acting fibroblasts promote neutrophil recruitment in Sweet syndromeThe Journal of allergy and clinical immunology · 2025

Summary (written by the submitters)

Sweet’s syndrome is a poorly understood inflammatory skin disease. In this study, cellular and molecular landscape of skin from patients with SS, PG and healthy controls using RNA sequencing have been defined.

Published in

Positionally distinct interferon-stimulated dermal immune-acting fibroblasts promote neutrophil recruitment in Sweet syndrome

Cavagnero KJ, Albright J, Li F et al. · The Journal of allergy and clinical immunology 2025 · PMID 40516577 · doi:10.1016/j.jaci.2025.05.029

This dataset

Open GSE298908 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 GSE298908_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 PRJNA1271773 and SRA study SRP589782. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40516577) ↗

Study design

76 × 2393-XX vs 37 × 2705-XX

Supports a between-group comparison across 113 samples.

How we read this: 2 replicated groups read from 113 sample titles; they account for 113 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

GSM9025805 2393-XX-108 2393-XX
GSM9025806 2393-XX-109 2393-XX
GSM9025807 2393-XX-110 2393-XX
GSM9025808 2393-XX-111 2393-XX
GSM9025809 2393-XX-112 2393-XX
GSM9025810 2393-XX-113 2393-XX
GSM9025811 2393-XX-114 2393-XX
GSM9025812 2393-XX-115 2393-XX
GSM9025813 2393-XX-116 2393-XX
GSM9025814 2393-XX-117 2393-XX
GSM9025815 2393-XX-119 2393-XX
GSM9025816 2393-XX-121 2393-XX
GSM9025817 2393-XX-123 2393-XX
GSM9025818 2393-XX-124 2393-XX
GSM9025819 2393-XX-125 2393-XX
GSM9025820 2393-XX-126 2393-XX
GSM9025821 2393-XX-127 2393-XX
GSM9025822 2393-XX-128 2393-XX
GSM9025823 2393-XX-129 2393-XX
GSM9025824 2393-XX-130 2393-XX
GSM9025825 2393-XX-131 2393-XX
GSM9025826 2393-XX-132 2393-XX
GSM9025827 2393-XX-133 2393-XX
GSM9025828 2393-XX-134 2393-XX
GSM9025829 2393-XX-135 2393-XX
GSM9025830 2393-XX-136 2393-XX
GSM9025831 2393-XX-137 2393-XX
GSM9025832 2393-XX-138 2393-XX
GSM9025833 2393-XX-140 2393-XX
GSM9025834 2393-XX-141 2393-XX
GSM9025835 2393-XX-157 2393-XX
GSM9025836 2393-XX-23 2393-XX
GSM9025837 2393-XX-32 2393-XX
GSM9025838 2393-XX-34 2393-XX
GSM9025839 2393-XX-39 2393-XX
GSM9025840 2393-XX-52 2393-XX
GSM9025841 2393-XX-53 2393-XX
GSM9025842 2393-XX-54 2393-XX
GSM9025843 2393-XX-55 2393-XX
GSM9025844 2393-XX-56 2393-XX

+ 73 more — browse all 113 samples with per-sample file links →

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Search all human RNA-seq datasets in GEO →

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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.