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Comprehensive Analysis of Phenotypes and Transcriptome Characteristics Reveal the Best Atopic Dermatitis Mouse Model Induced by MC903

GSE262315 Mus musculus (mouse) RNA-seq (gene expression) 34 samples Submitted 2025/03/26 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 34 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
34 samples: 9 conditions, mostly with about 4 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.
Summary (written by the submitters)
Although several mouse models of exogenous-agent–induced atopic dermatitis (AD) are currently available, the lack of certainty regarding their similarity with human AD has limited their scientific value. Thus, comprehensive evaluation of the characteristics of mouse models and their similarity with human AD is essential. The DNFB plus OVA model showed the highest disease severity, while the OVA model showed the lowest severity.
Read the full summary ↓
The MC903 and MC903 plus OVA models showed high expression of T-helper(Th)2- and Th17-related genes; the DNFB and DNFB plus OVA models showed upregulation of Th1-, Th2-, and Th17-related genes; while the S. aureus inoculation model showed more enhanced Th1 and Th17 immune responses. In contrast to the other models, the OVA-induced model showed the lowest expression levels of inflammation-related genes, while the MC903 model shared the largest overlap with human AD profiles. Each AD mouse model exhibited different characteristics. The MC903 model was the best to recapitulate most features of human AD among these exogenous-agent–induced AD models.
This dataset
Open GSE262315 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 GSE262315_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 PRJNA1091323 and SRA study SRP497454. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
9 conditions, mostly with about 4 replicates each
OVA ×5 MC ×4 MC903+OVA ×4 DNFB ×4 DNFB+OVA ×4 S.aureus ×4 ETOH ×3 Acetone Olive oil ×3 +1 more

Supports a between-group comparison across 34 samples.

How we read this: 9 replicated groups read from 34 sample titles; they account for 34 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

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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.