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Inherited Variant in MRC2 Causes Cardiac Fibroblast Dysfunction and Increases Atrial Fibrillation Susceptibility [atrial tissue]

GSE281559 Mus musculus (mouse) RNA-seq (gene expression) 10 samples Submitted 2025/06/01 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 10 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
10 samples: 6 × Atrial tissue WT vs 4 × Atrial tissue HetGroups 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
Multiomic and electrophysiologic analyses reveal that an inherited MRC2 variant causes fibroblast dysfunction and increased atrial fibrillation susceptibilityAmerican journal of physiology. Heart and circulatory physiology · 2025
Summary (written by the submitters)
Background. A recent study identified a rare variant in the MRC2 gene in individuals with familial reentrant supraventricular tachycardia, a Wolff-Parkinson-White (WPW) ECG pattern, and structurally normal hearts. WPW syndrome is associated with atrial fibrillation (AF), and MRC2 was recently proposed as a protective gene for AF. Objective.
Read the full summary ↓
We aimed to determine whether the E990G-heterozygous (het) loss-of-function variant in MRC2 increases AF susceptibility and aberrant atrial cardiofibroblast (ACF) function in mice. Methods. Programmed electrical stimulation (PES) was performed to determine AF susceptibility in E990G-het mice and wild-type (WT) controls. ACFs were isolated from these mice and cultured, and their migration, and collagen deposition were quantified. Finally, transcriptomic profiling by RNA sequencing and secretomic/proteomic profiling by mass spectrometry were performed on ACFs and whole atrial tissue. Results. E990G-het mice exhibited increased susceptibility to pacing-induced AF and had decreased atrioventricular effective refractory periods compared to WT controls. ACFs isolated from E990G-het mice deposited greater amounts of acid-soluble collagen in 2D cultures as quantified by Sirius red staining compared with WT controls. Transcriptomic, secretomic, and proteomic profiling of cultured ACFs and whole-atrial tissue suggest that some fibrotic regulators are differentially expressed or secreted, including decreased ACF expression of matrix metalloproteinase 13 (MMP-13), which degrades collagen types I, II, and III; decreased ACF expression, ACF secretion, and atrial tissue levels of matrix metalloproteinase 12 (MMP-12), which degrades collagen types I, III, IV, elastin, and fibronectin; and increased tissue levels of cellular communication network factor 2/connective tissue growth factor (CCN2/CTGF), a profibrotic regulator. Conclusions. MRC2 E990G-het mice exhibit increased AF susceptibility, altered collagen deposition by ACFs, and differentially regulated fibrotic genes and proteins. Together, these findings suggest that excessive collagen deposition and reduced MMP-mediated collagen removal generate a substrate for the development of AF in the presence of a loss-of-function variant in MRC2.
Published in
Multiomic and electrophysiologic analyses reveal that an inherited MRC2 variant causes fibroblast dysfunction and increased atrial fibrillation susceptibility
Ho KS, Keefe JA, Zhao S et al. · American journal of physiology. Heart and circulatory physiology 2025 · PMID 40983393 · doi:10.1152/ajpheart.00452.2025
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 GSE281559_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 PRJNA1184722 and SRA study SRP544451. Searching any of these in the dataset finder brings you back here.

Study design
6 × Atrial tissue WT vs 4 × Atrial tissue Het

Supports a between-group comparison across 10 samples.

How we read this: 2 replicated groups read from 10 sample titles; they account for 10 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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