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Acute UV effect on epidermal transcriptome profiling in male and female Wild Type (SKH-1/SV129/BL6/J) mice and deficient for PPARbeta (SKH-1/SV129/BL6/J PPARD-/-) littermates.

GSE266221 Mus musculus (mouse) RNA-seq (gene expression) 32 samples Submitted 2026/05/20 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 32 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
32 samples: 32 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
An estrogen receptor/E2F1/CDKN3 axis protects from UV-induced skin cancers in femalesEMBO reports · 2026
Summary (written by the submitters)
UV irradiation is the most mutagenic and carcinogenic factor identified in non-melanoma skin cancers. Indeed, UV exposure can induce DNA damage in skin cells. However, cells are able to remove these lesions through DNA Damage Response mechanisms, thus avoiding mutagenic DNA lesions. In parallel to this DNA repair pathway induction, cell cycle arrest is induced to allow time to repair or to undergo apoptosis, in this case the UV-induced damage is irreversible.
Read the full summary ↓
UV exposure has also a mitogenic action by stimulating cell survival and proliferation leading to epidermal hyperplasia. All these intrinsic cellular events induced in response to UV exposure have not been characterized in a sex-dependant context. To explore the key early stages before cancer initiation we performed a single UV exposure experiment. In response to this single UV dose, less severe epidermal atypia was observed in males compared to females.Epidermal transcriptomic data of UV-exposed male and female wild type (SKH-1/SV129/BL6/J)show that in average 12% of genes dysregulated in response to UV are sex-specific. The expression of some transcription factors involved in cell proliferation control are down regulated only in female wild type mice, in response to UV compared to wild type males. Notably, we observed a UV-sex-specific signature in male and female PPARb deficient mice (SKH-1/SV129/BL6/J PPARD KO)suggesting that this nuclear receptor could be involved in the sex-specific response to acute UV exposure. These transcriptomic data obtained in the epidermis from two sexes will help to understand why females are better protected than males from the risk of developing cSCC.
Published in
An estrogen receptor/E2F1/CDKN3 axis protects from UV-induced skin cancers in females
Lukowicz C, Winkler C, Roger C et al. · EMBO reports 2026 · PMID 41876816 · doi:10.1038/s44319-026-00743-2
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 GSE266221_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 PRJNA1106400 and SRA study SRP505070. Searching any of these in the dataset finder brings you back here.

Study design
32 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 32 sample titles: 32 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
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