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CTHRC1 is a new therapeutic target and serum diagnostic biomarker for aortic dissection [MOVAS_rhCTHRC1_RNAseq]

GSE297519 Mus musculus (mouse) RNA-seq (gene expression) 24 samples Submitted 2025/08/19 Platform GPL17021
At a glance

RNA-seq (gene expression) · mouse · 24 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
24 samples: 8 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)
Aortic dissection (AD) is a cardiovascular disease with rapid onset and extremely high short-term mortality, currently lacking specific peripheral blood-based biomarkers and effective treatments. Here, our analyses of AD samples from animal models and human patients revealed elevated blood levels of CTHRC1, a protein secreted by vascular fibroblasts.
Read the full summary ↓
Furthermore, CTHRC1 regulates the phenotypic switch of vascular smooth muscle cells (VSMCs) during arterial remodeling by binding to ADAM9 on the VSMC membrane, activating the ERK1/2 signaling pathway, and promoting a contractile-to-synthetic transition. In Ang-II/BAPN induced AD mouse models, genetic ablation or antibody-mediated blockade of CTHRC1 effectively prevented AD formation and development. These findings unveil activated vascular fibroblast derived CTHRC1 as a critical regulator of VSMC phenotype and aortic structural integrity via the ERK1/2 signaling pathway, suggesting its potential as a novel serum diagnostic biomarker for AD diagnostic and a promising therapeutic target. Collectively, our data propose a new and effective strategy for diagnosis and clinical management of patients with AD.
This dataset
Open GSE297519 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 GSE297519_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 PRJNA1265124 and SRA study SRP586299. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
8 conditions, mostly in triplicate
A_0 ×3 A ×3 WT_C_0_0 ×3 WT_T_0 ×3 R26_0 ×3 R26 ×3 sg2_0 ×3 sg2 ×3

Supports a between-group comparison across 24 samples.

How we read this: 8 replicated groups read from 24 sample titles; they account for 24 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.