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Transcriptome analysis of sham-operated, MI-injured and FGF17-treated MI mice hearts (MI)

GSE264234 Mus musculus (mouse) RNA-seq (gene expression) 18 samples Submitted 2026/04/05 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 18 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
18 samples: 5 conditions, mostly with about 4 replicates eachGroups 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.
Summary (written by the submitters)
Fibroblast growth factor (FGF) signal transduction plays essential roles in cardiac repair following myocardial infarction (MI). Among which, FGF17 was demonstrated to regulate epicardial epithelial-mesenchymal transition to provide new vasculature for muscle regeneration during the process of myocardial repair in zebrafish. However, little is known about its function in the mammalian cardiovascular system. This study investigated whether FGF17 signaling exerts cardioprotective effects in ischemic mice hearts, and attempted to elucidate the underlying mechanisms.
This dataset
Open GSE264234 in finder → Find more mouse RNA-seq datasets →
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.

Series matrix ↓
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 GSE264234_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
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.

Raw reads on ENA ↗

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 PRJNA1101521 and SRA study SRP502419. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
5 conditions, mostly with about 4 replicates each
hearts, sham-operated treated with control ve… ×4 hearts, 3 days post-MI treated with control v… ×4 hearts, 3 days post-MI treated with AAV-FGF17, ×4 hearts, 14 days post-MI treated with control … ×3 hearts, 14 days post-MI treated with AAV-FGF1… ×3

Supports a between-group comparison across 18 samples.

How we read this: 5 replicated groups read from 18 sample titles; they account for 18 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
Datasets on a similar topic

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