← BioTransfer GEO Dataset Finder
GEO series

Integrative Transcriptomic and Histological Analysis in Dilated Cardiomyopathy Unveils FGFR Inhibition as a Novel Therapeutic Strategy with Anti-Cardiac Fibrosis and Cardiac Protective Effects mediated by NPR1 signaling

GSE274292 Homo sapiens (human) Single-cell RNA-seq 1 samples Submitted 2025/08/06 Platform GPL24676
At a glance

Single-cell RNA-seq · human · 1 samples

What it is
Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. 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
1 samples
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
Integrative Transcriptomic-Histological Analysis in Dilated Cardiomyopathy Unveils FGFR1 Inhibition as Anti-Cardiac Fibrotic and Cardioprotective TherapyJACC. Basic to translational science · 2025
Summary (written by the submitters)
Single-cell analyses were conducted to further elucidate the fibrosis-inhibitory and cardioprotective effects of AZD4547, as well as the impact of cell-cell interactions. To validate these effects in the acute phase, analyses were performed at day 7 left ventricular heart samples from control, PE/Ang II-exposed without treatment, and AZD-administered mice.
Published in
Integrative Transcriptomic-Histological Analysis in Dilated Cardiomyopathy Unveils FGFR1 Inhibition as Anti-Cardiac Fibrotic and Cardioprotective Therapy
Hata R, Funakoshi S, Makiyama T et al. · JACC. Basic to translational science 2025 · PMID 40934809 · doi:10.1016/j.jacbts.2025.101363
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 GSE274292_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 PRJNA1145889 and SRA study SRP524979. Searching any of these in the dataset finder brings you back here.

Samples in this study

The sample list for this study is not cached yet. Press Load samples and it will be fetched from NCBI.

+ 1 more — browse all 1 samples with per-sample file links →

Datasets on a similar topic

Search all human RNA-seq datasets in GEO →

Share this dataset

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.