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UVA irradiation promotes ROS-mediated formation of the common deletion in mitochondrial DNA

GSE302943 Homo sapiens (human) RNA-seq (gene expression) 10 samples Submitted 2025/11/30 Platform GPL18573
At a glance

RNA-seq (gene expression) · human · 10 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
10 samples: 5 × BJ-5ta exposed to an accumulated dose off 100 J/cm2, vs 5 × BJ-5ta control,Groups 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
UVA Irradiation Promotes ROS-Mediated Formation of the Common Deletion in Mitochondrial DNALife (Basel, Switzerland) · 2026
Summary (written by the submitters)
Ultraviolet (UV) radiation from the sun causes adverse skin changes such as premature aging. UV-induced mitochondrial DNA (mtDNA) alterations, including deletions, contribute to photoaging and cellular dysfunction. The most frequent mtDNA rearrangement is the common deletion (CD), characterized by the loss of nearly one-third of the genome (4,977 bp).
Read the full summary ↓
Although UV radiation exposure leads to CD formation, the molecular mechanisms initiating UV-induced CD remain poorly defined. In this study, we show that increasing UV doses increase CD levels in human skin fibroblasts. UVA exposure increased cellular reactive oxygen species (ROS) and mtDNA oxidation. Antioxidant preconditioning prevented UVA-induced CD accumulation, indicating a ROS-dependent mechanism. Conversely, UVB exposure induced cyclobutane pyrimidine dimers (CPDs) without affecting ROS, suggesting a ROS-independent pathway. Using a 3D full-thickness human skin model, we confirmed UVA-dependent CD formation in both epidermis and dermis. RNA-Seq analysis of UVA-exposed fibroblasts revealed upregulation of mitochondrial DNA replication genes and downregulation of mtDNA repair genes. Taken together, our findings provide insight into how UVA and UVB differ in their detrimental effects on mtDNA, with UVA impacting mtDNA maintenance and transcription via a ROS-dependent mechanism.
Published in
UVA Irradiation Promotes ROS-Mediated Formation of the Common Deletion in Mitochondrial DNA
Fontana GA, Singh NK, Rotankova N et al. · Life (Basel, Switzerland) 2026 · PMID 42073386 · doi:10.3390/life16040577
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 GSE302943_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 PRJNA1292871 and SRA study SRP601638. Searching any of these in the dataset finder brings you back here.

Study design
5 × BJ-5ta exposed to an accumulated dose off 100 J/cm2, vs 5 × BJ-5ta control,

Supports a between-group comparison across 10 samples.

How we read this: 2 replicated groups read from 10 sample titles; they account for 10 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
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