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S100A4-lineage Cells Contribute Modesty to Angiotensin II-mediated Thoracic Aortic Aneurysms Through Angiotensin II Type 1a Receptor in Mice

GSE309042 Mus musculus (mouse) Single-cell RNA-seq 86 samples Submitted 2026/01/01 Platform GPL24247
At a glance

Single-cell RNA-seq · mouse · 86 samples

What it is
Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. 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
86 samples: 24 × Asc vs 24 × Dsc vs 23 × Sup vs 15 × InfGroups 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
S100A4-lineage cells contribute modestly to angiotensin II-mediated thoracic aortic aneurysms through angiotensin II type 1a receptor in micePloS one · 2026
Summary (written by the submitters)
Background: Angiotensin II (AngII) exerts a critical role in thoracic aortic aneurysm (TAA) formation via AngII type 1a receptor (AT1aR). However, the principal cell type mediating this process remains unclear. Our previous study demonstrated that S100A4-lineage cells are present in the aortic wall and involved in AngII-induced vascular remodeling.
Read the full summary ↓
In the present study, we investigated whether S100A4-lineage cells contribute to AngII-mediated TAA formation through AT1aR. Methods: Proteomic, bulk RNA sequencing, and single-cell RNA sequencing data were analyzed to assess changes in S100A4 abundance in response to AngII infusion. Lineage tracing was performed to track S100A4-lineage cells during AngII-mediated TAA formation. Either saline or AngII was infused in mice with genetic deletion of AT1aR in S100A4-lineage cells and their wild-type littermates. Results: AngII infusion increased S100A4 protein and mRNA abundance significantly in the ascending aorta, particularly within smooth muscle cells and fibroblasts. Under basal conditions, S100A4-positive cells were localized to the media and adventitia. Following AngII infusion, these cells expanded markedly and populated the entire aortic wall. Deletion of AT1aR in S100A4-lineage cells modestly reduced AngII-induced TAA formation. Conclusions: S100A4-lineage cells modestly contribute to AngII-mediated TAA development through AT1aR in mice.
Published in
S100A4-lineage cells contribute modestly to angiotensin II-mediated thoracic aortic aneurysms through angiotensin II type 1a receptor in mice
Ito S, Chen JZ, Howatt DA et al. · PloS one 2026 · PMID 42118772 · doi:10.1371/journal.pone.0348111
This dataset
Open GSE309042 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 GSE309042_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: 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 PRJNA1333846 and SRA study SRP626301. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 42118772) ↗
Study design
24 × Asc vs 24 × Dsc vs 23 × Sup vs 15 × Inf

Supports a between-group comparison across 86 samples.

How we read this: 4 replicated groups read from 86 sample titles; they account for 86 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

+ 46 more — browse all 86 samples with per-sample file links →

Datasets on a similar topic

Search all mouse RNA-seq datasets in GEO →

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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.