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SORBS2 regulates integrin-cytoskeleton interactions and extracellular matrix composition in heart failure

GSE243463 Mus musculus (mouse) RNA-seq (gene expression) 16 samples Submitted 2025/03/17 Platform GPL30172
At a glance

RNA-seq (gene expression) · mouse · 16 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
16 samples: 4 × Heart, sham, wildtype, biol vs 4 × Heart, TAB, wildtype, biol vs 4 × Heart, sham, sorbs2 knock-out, biol vs 4 × Heart, TAB, sorbs2 knock-out, biolGroups 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 SORBS2 expression increases in heart failure and regulates integrin interactions and extracellular matrix compositionCardiovascular research · 2025
Summary (written by the submitters)
Heart failure is associated with high mortality rates and reduced quality of life. Because of the tight connection between Nppa expression and cardiomyocyte stress, we first determined NPPA correlated genes during heart failure. In this study, we identify SORBS2 as conserved NPPA correlated gene and detail its molecular function and association with heart failure. We used RNA-sequencing on murine whole heart tissue to study the effect of cardiomyocyte-specific genetic loss of Sorbs2 in adult mice in a healthy situation and heart failure model.
Published in
Cardiomyocyte SORBS2 expression increases in heart failure and regulates integrin interactions and extracellular matrix composition
Timmer LT, den Hertog E, Versteeg D et al. · Cardiovascular research 2025 · PMID 39957251 · doi:10.1093/cvr/cvaf021
This dataset
Open GSE243463 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 GSE243463_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 PRJNA1018537 and SRA study SRP461517. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 39957251) ↗
Study design
4 × Heart, sham, wildtype, biol vs 4 × Heart, TAB, wildtype, biol vs 4 × Heart, sham, sorbs2 knock-out, biol vs 4 × Heart, TAB, sorbs2 knock-out, biol

Supports a between-group comparison across 16 samples.

How we read this: 4 replicated groups read from 16 sample titles; they account for 16 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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