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Transcriptomic analysis of cardiac remodelling following minimally invasive surgery for aortic regurgitation

GSE252164 Mus musculus (mouse) RNA-seq (gene expression) 16 samples Submitted 2025/11/18 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 16 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
16 samples: 4 × S vs 4 × AR4 vs 4 × AR10 vs 4 × AR2Groups 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
A Novel Model of Cardiac Remodeling by a Minimally Invasive Aortic Regurgitation Surgery in MiceJACC. Basic to translational science · 2025
Summary (written by the submitters)
To explore the signaling pathways involved in aortic regurgitation (AR)-induced dysregulation from the compensated phase of the heart to the heart failure phase, and to discover the characteristic genes closely related to AR.
Published in
A Novel Model of Cardiac Remodeling by a Minimally Invasive Aortic Regurgitation Surgery in Mice
Li X, Wu J, Kang L et al. · JACC. Basic to translational science 2025 · PMID 40956257 · doi:10.1016/j.jacbts.2025.101324
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 GSE252164_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: 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 PRJNA1057946 and SRA study SRP480370. Searching any of these in the dataset finder brings you back here.

Study design
4 × S vs 4 × AR4 vs 4 × AR10 vs 4 × AR2

Supports a between-group comparison across 16 samples.

How we read this: 4 replicated groups read from 16 sample titles; they account for 16 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.