GEO series

Steroid hormone antagonism reduces the rate of aortic rupture and improves survival in a mouse model of Vascular Ehlers-Danlos Syndrome

GSE297353 Mus musculus (mouse) RNA-seq (gene expression) 30 samples Submitted 2026/03/17 Platform GPL24247

At a glance

RNA-seq (gene expression) · mouse · 30 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: 30 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.
Paper: Steroid hormone antagonism affords vascular protection in a mouse model of vascular Ehlers-Danlos syndromeJCI insight · 2026

Summary (written by the submitters)

Vascular Ehlers-Danlos syndrome (VEDS) carries a high risk of vascular rupture. In the Col3a1G938D/+ mouse model, the rate of aortic rupture accelerates postnatally, especially in males, concurrently with the rise in androgens. Here we show that this vulnerability is associated with the postnatal transition of the aorta to a non-synthetic state, and that androgen receptor (AR ) antagonism partially reversed this shift, resulting in a non-physiological increase in the expression of extracellular matrix components.

Read the full summary ↓

Both pharmacological and genetic AR antagonism improved survival in males, while dual AR and mineralocorticoid (MR) inhibition, or selective MR antagonism, reduced the risk of aortic rupture in both sexes. In all major aortic cell types, there was substantial overlap in the transcriptional alterations imposed by AR, MR and dual AR/MR inhibition, suggesting that both AR/MR antagonism and selective targeting of the MR are potential therapeutic strategies in this condition.

Published in

Steroid hormone antagonism affords vascular protection in a mouse model of vascular Ehlers-Danlos syndrome

Juzwiak EE, Bowen CJ, Edwards R et al. · JCI insight 2026 · PMID 42048161 · doi:10.1172/jci.insight.198202

This dataset

Open GSE297353 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 GSE297353_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 PRJNA1263609 and SRA study SRP585709. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 42048161) ↗

Samples in this study

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+ 30 more — browse all 30 samples with per-sample file links →

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