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Steroid Hormone Dependent Pathogenesis in Vascular Ehlers-Danlos Syndrome

GSE288058 Mus musculus (mouse) Single-nucleus RNA-seq 18 samples Submitted 2026/03/17 Platform GPL24247
At a glance

Single-nucleus RNA-seq · mouse · 18 samples

What it is
Single-nucleus RNA-seqGene activity measured in individual nuclei (used when whole cells are hard to isolate, for example from frozen tissue). Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
Organism
Mus musculus (mouse)
Samples
18 samples: 6 conditions, mostly in triplicateGroups 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)
Vascular Ehlers-Danlos Syndrome (VEDS) is a genetic connective tissue disorder caused by heterozygous mutations in the COL3A1 gene encoding type III collagen which result in spontaneous rupture of the arteries, intestines, and gravid uterus. Aortic ruptures occur primarily in the descending thoracic aorta. Male VEDS patients experience a higher rate of catastrophic vascular events (dissections or ruptures) during puberty compared to females suggesting a role for androgens.
Read the full summary ↓
Our Col3a1G938D/+ mouse model recapitulates the sexually dimorphic phenotype of spontaneous death due to aortic rupture in puberty. Our work with VEDS mice subjected to androgen receptor inhibition, through the use of a conditional allele for the androgen receptor (AR) to generate global Ar null mice or through the use of pharmacologic AR antagonism with bicalutamide, discovered that androgens drive sexual dimorphic survival. We also found a role for mineralocorticoid receptor signaling with the use of spironolactone, a dual AR and MR antagonist, and finerenone, a specific MR antagonist. Therefore, we employed single nucleus-RNAseq of the descending thoracic aorta to identify the molecular mechanism driving AR, MR, and dual AR/MR protection in VEDS male mice. We discovered AR or MR antagonism normalized expression of dysregulated transcripts in both VEDS endothelial cells (ECs) and vascular smooth muscle cells (VSMCs). In ECs, components of cell junctions and modulators of cell junction stability were dysregulated while transcripts encoding a contractile VSMC phenotype, integrin signaling, and focal adhesions were modulated in VSMCs.
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 GSE288058_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.

Also filed as BioProject PRJNA1215960 and SRA study SRP560001. Searching any of these in the dataset finder brings you back here.

Study design
6 conditions, mostly in triplicate
Wild type CTL, ×3 VEDS CTL, ×3 VEDS Bical, ×3 VEDS Spiro, ×3 VEDS Fine, ×3 VEDS Fludro, ×3

Supports a between-group comparison across 18 samples.

How we read this: 6 replicated groups read from 18 sample titles; they account for 18 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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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.