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Longitudinal multimodal characterization of radiation dermatitis in a C57BL/6J mouse model

GSE300340 Mus musculus (mouse) RNA-seq (gene expression) 35 samples Submitted 2025/08/25 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 35 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
35 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.
Paper
Longitudinal multimodal characterization of radiation dermatitis in the C57BL/6J mouse modelbioRxiv : the preprint server for biology · 2025
Summary (written by the submitters)
Radiation dermatitis (RD) is a common adverse reaction to radiation therapy (RT), affecting up to 95% of cancer patients. Despite its prevalence, RD’s pathophysiology is complex and remains poorly understood. Without a better molecular understanding of this condition, targeted treatments are difficult to develop and integrate into clinical practice.
Read the full summary ↓
Prior animal model studies of RD are scarce, variable in methodology, and limited to outcomes such as clinical grading and histology. To address this gap, we aimed to develop a temporal murine model of RD using clinical grading, objective skin parameters, histopathology, and gene expression analysis of inflammatory markers.
Published in
Longitudinal multimodal characterization of radiation dermatitis in the C57BL/6J mouse model
Wong JH, Rivas S, Liu L et al. · bioRxiv : the preprint server for biology 2025 · PMID 41292932 · doi:10.1101/2025.11.08.687376
This dataset
Open GSE300340 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 GSE300340_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 PRJNA1280122 and SRA study SRP593422. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41292932) ↗
Study design
9 conditions, mostly with about 4 replicates each
Mouse skin, radiated, Week 1, ×4 Mouse skin, control, Week 1, ×4 Mouse skin, radiated, Week 2, ×4 Mouse skin, control, Week 2, ×4 Mouse skin, radiated, Week 3, ×4 Mouse skin, control, Week 3, ×4 Mouse skin, radiated, Week 4, ×4 Mouse skin, control, Week 4, ×4 +1 more

Supports a between-group comparison across 35 samples.

How we read this: 9 replicated groups read from 35 sample titles; they account for 35 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.