← BioTransfer GEO Dataset Finder
GEO series

Cardiomyocyte specific RXFP1-overexpression protects Relaxin-independently from pressure-overload induced cardiac dysfunction

GSE252607 Mus musculus (mouse) RNA-seq (gene expression) 30 samples Submitted 2024/05/23 Platform GPL23479
At a glance

RNA-seq (gene expression) · mouse · 30 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
30 samples: 10 × Heart Muscle, Wildtype, 8 wk TAC surgery, vs 10 × Heart Muscle, hRXFP1tg, 8 wk TAC surgery, vs 5 × Heart Muscle, Wildtype, Sham, vs 5 × Heart Muscle, hRXFP1tg, Sham,Groups 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
Cardiomyocyte-specific RXFP1 overexpression protects against pressure overload-induced cardiac dysfunction independently of relaxinBiochemical pharmacology · 2024
Summary (written by the submitters)
Aim was to investigate the effect of cardiomyocyte-specific expression of the human Relaxin Family Peptide Receptor 1 (RXFP1) in a mouse model of pressure-overload induced cardiac dysfunction (TAC). Mice overexpressing the hRXFP1 receptor (or non-transgenic controls) underwent TAC (or Sham) surgery and were followed up for 8 weeks. Heart was removed and RNA isolated from left ventricle to perform bulk RNAseq.
Published in
Cardiomyocyte-specific RXFP1 overexpression protects against pressure overload-induced cardiac dysfunction independently of relaxin
Wingert J, Meinhardt E, Sasipong N et al. · Biochemical pharmacology 2024 · PMID 38768763 · doi:10.1016/j.bcp.2024.116305
This dataset
Open GSE252607 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 GSE252607_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 PRJNA1061510 and SRA study SRP482151. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 38768763) ↗
Study design
10 × Heart Muscle, Wildtype, 8 wk TAC surgery, vs 10 × Heart Muscle, hRXFP1tg, 8 wk TAC surgery, vs 5 × Heart Muscle, Wildtype, Sham, vs 5 × Heart Muscle, hRXFP1tg, Sham,

Supports a between-group comparison across 30 samples.

How we read this: 4 replicated groups read from 30 sample titles; they account for 30 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

Search all mouse 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.