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UVB exposure triggers autoimmune cutaneous inflammation in Foxp3dExon2-expressing mice.

GSE247794 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2024/11/14 Platform GPL30172
At a glance

RNA-seq (gene expression) · mouse · 12 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
12 samples
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)
Ultraviolet B (UVB) light is a common environmental trigger that can induce flares in several autoimmune diseases. Here, we modeled photosensitivity in mice which express an autoimmune-driving isoform of Foxp3 without the second coding exon of the gene, called FoxP3ΔE2 mice. In the steady-state, FoxP3ΔE2mice generate keratinocyte-specific IgE autoantibodies and more autoreactive T follicular helper (TFH) cells that target keratinocyte-derived autoantigens that are released upon exposure to damaging doses of UVB.
Read the full summary ↓
After UVB light challenge in vivo, FoxP3ΔE2mice generated more IgE antibodies, increased germinal center formation, had higher percentages of IL-4+TFHs, developed worsened skin pathology and had higher concentrations of IgE in UVB-damaged skin. We also observed a significant increase in IgE on basophils and accumulation of basophil extracellular traps in UVB-challenged skin of FoxP3ΔE2mice. Collectively, FoxP3ΔE2mice fail to maintain self-tolerance in GCs, causing IgE autoantibody production and driving exaggerated photosensitivity.
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 GSE247794_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: 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 PRJNA1040496 and SRA study SRP471951. Searching any of these in the dataset finder brings you back here.

Study design
A cohort of 12 individual samples

The grouping that defines any comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Sample titles run lib95625 … lib95640 and carry no group information.

Samples in this study
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