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Reversible Fibroblast Trajectories Regulated by MR Underlie Diastolic Dysfunction

GSE312968 Mus musculus (mouse) Single-nucleus RNA-seq 12 samples Submitted 2025/12/09 Platform GPL30172
At a glance

Single-nucleus RNA-seq · mouse · 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
Mus musculus (mouse)
Samples
12 samples: 12 samples, each with a distinct title — no replicated groupsGroups 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
Reversible Fibroblast Trajectories Regulated by MR Underlie Diastolic DysfunctionCirculation research · 2026
Summary (written by the submitters)
Heart failure with preserved ejection fraction (HFpEF) is driven by co-morbidities. While specific treatments to enable recovery of HFpEF are lacking, recent clinical trials indicate beneficial effects of mineralocorticoid receptor (MR) antagonists. Here, we performed single nucleus RNA sequencing in an aldosterone/salt-induced model of cardiorenal HFpEF in mice and compared it to the high fat diet/L-NAME model of cardiometabolic HFpEF.
Read the full summary ↓
We found a fibroblast subtype induced that is distinct from the classical myofibroblast observed in heart failure with reduced ejection fraction. Notably, after aldosterone withdrawal the HFpEF-like phenotype fully recovered. This was linked to a restored expression of MR target genes and an upregulation of collagen III, VI, and XV in fibroblasts during recovery. MR deletion from fibroblasts prevented cardiac remodeling and diastolic dysfunction, confirming the central role of fibroblast MR in cardiorenal HFpEF. In summary, our study reveals fibroblast gene expression signatures in heart failure from different causes that may determine the response to pharmacological treatment and potential for recovery.
Published in
Reversible Fibroblast Trajectories Regulated by MR Underlie Diastolic Dysfunction
Meral D, Mamazhakypov A, Koca D et al. · Circulation research 2026 · PMID 41983286 · doi:10.1161/CIRCRESAHA.125.327301
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 GSE312968_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 PRJNA1285289 and SRA study SRP653027. Searching any of these in the dataset finder brings you back here.

Study design
12 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 12 sample titles: 12 distinct titles with little repetition. 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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