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Effect of anti-IL-4 and anti-IL-13 vaccination in a mouse model of atopic dermatitis

GSE290968 Mus musculus (mouse) RNA-seq (gene expression) 30 samples Submitted 2025/12/10 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 30 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
30 samples: 5 conditions, mostly with about 6 replicates eachGroups 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
An Anti-IL-13 Vaccine Reduces Atopic Dermatitis in Humanized Mice and Induces Neutralizing Antibodies in Nonhuman PrimatesAllergy · 2025
Summary (written by the submitters)
The effect of anti-mouse IL-4 and/or anti-mouse IL-13 Kinoid vaccines was assessed in a model of atopic dermatitis. Mice were immunized with IL-4 and/or IL13 Kinoids (or the carrier protein CRM197 alone as control). Atopic dermatitis-like pathology was induced by repeated epicutaneous exposures to house dust mite and the enterotoxin B from Staphylococcus aureus (SEB). Lesional skin biopsies were collected for bulk RNA sequencing analysis.
Published in
An Anti-IL-13 Vaccine Reduces Atopic Dermatitis in Humanized Mice and Induces Neutralizing Antibodies in Nonhuman Primates
Mougel A, Lemdani K, Serhan N et al. · Allergy 2025 · PMID 41117068 · doi:10.1111/all.70110
This dataset
Open GSE290968 in finder → Find more mouse 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 GSE290968_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 PRJNA1231096 and SRA study SRP567663. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41117068) ↗
Study design
5 conditions, mostly with about 6 replicates each
control_vehicle, s ×6 control_AD, s ×6 mu4K_AD, s ×6 mu13K_AD, s ×6 mu4_13K_AD, s ×6

Supports a between-group comparison across 30 samples.

How we read this: 5 replicated groups read from 30 sample titles; they account for 30 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 →

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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.