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Mineralocorticoid Receptor Antagonism Reduces Atrial Arrhythmias Post- Cardiac Surgery and Attenuates Atrial Stress Responses to Cardioplegic Arrest

GSE315225 Homo sapiens (human) Single-nucleus RNA-seq 12 samples Submitted 2026/01/09 Platform GPL34281
At a glance

Single-nucleus RNA-seq · human · 12 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
Homo sapiens (human)
Samples
12 samples: 3 × Dono vs 3 × AF vs 3 × HTK vs 3 × CanrenoneGroups 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
Mineralocorticoid Receptor Antagonism Reduces Atrial Arrhythmias Post-Cardiac Surgery and Attenuates Atrial Stress Responses to Cardioplegic ArrestJournal of the American Heart Association · 2025
Summary (written by the submitters)
We performed snRNA-seq in the left ventricle of human heart from normal control, AF patients, and perfused heart tissue after stored with HTK or HTK+canrenone
Published in
Mineralocorticoid Receptor Antagonism Reduces Atrial Arrhythmias Post-Cardiac Surgery and Attenuates Atrial Stress Responses to Cardioplegic Arrest
Danesh S, Khan F, Chopko T et al. · Journal of the American Heart Association 2025 · PMID 41065249 · doi:10.1161/JAHA.125.043661
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 GSE315225_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 PRJNA1395367 and SRA study SRP658812. Searching any of these in the dataset finder brings you back here.

Study design
3 × Dono vs 3 × AF vs 3 × HTK vs 3 × Canrenone

Supports a between-group comparison across 12 samples.

How we read this: 4 replicated groups read from 12 sample titles; they account for 12 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.