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Comparative circadian transcriptome analysis reveals dampened and phase-advanced rhythms in sun-exposed skin

GSE326530 Homo sapiens (human) RNA-seq (gene expression) 160 samples Submitted 2026/04/04 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 160 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
160 samples: 160 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.
Summary (written by the submitters)
Daily molecular rhythms modulate skin physiology. However, the effects of chronic sun exposure on these rhythms remain unstudied. This study aimed to identify and compare rhythmic genes and pathways in photoprotected and chronically photoexposed human skin in vivo. Skin biopsies were taken from photoprotected (upper buttock) and photoexposed (dorsal forearm) skin of 20 subjects at noon, 6PM, midnight, and 6AM, across a 24-hour cycle, and gene expression was quantified with RNA sequencing.
Read the full summary ↓
Cosinor analysis identified cycling genes along with their amplitudes and peak expression phases. We found that fewer genes met the criteria for cycling in the photoexposed skin as compared to the photoprotected skin, and transcripts that cycled in both sites had lower amplitudes and advanced peak times in photoexposed skin as compared to photoprotected skin. We identified 480 genes with significantly different rhythmic properties between the skin sites. Genes involved in DNA repair, MYC targets, E2F and G2M checkpoint pathways were enriched among those that showed higher amplitude oscillations in photoprotected skin. Genes involved in epithelial mesenchymal transition and apical junction pathways showed higher amplitude oscillations in photoexposed skin. These results suggest that chronic UV exposure may disrupt and/or reprogram circadian output rhythms to further alter skin physiology.
This dataset
Open GSE326530 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 GSE326530_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 PRJNA1445836 and SRA study SRP688085. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
160 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 160 sample titles: 160 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

+ 120 more — browse all 160 samples with per-sample file links →

Datasets on a similar topic

Search all human RNA-seq datasets in GEO →

Share this dataset

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.