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SPOP is a key trigger of pathological cardiac hypertrophy and heart failure

GSE304791 Mus musculus (mouse) RNA-seq (gene expression) 10 samples Submitted 2025/08/26 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 10 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
10 samples: 5 × WT mice heart repeat vs 5 × SPOP CKI mice heart repeatGroups 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)
Cardiac hypertrophy is a pathological feature of heart failure, and dysregulation of protein turnover and autophagy has been implicated in its progression. Speckle-type POZ protein (SPOP), a substrate adaptor for the Cullin3-RING E3 ubiquitin ligase complex, plays an emerging role in protein homeostasis and transcriptional regulation.
Read the full summary ↓
This study investigates the function of SPOP in cardiac hypertrophy and heart failure. RNA sequencing was performed to examine transcriptional changes in mouse hearts with cardiac-specific overexpression of SPOP, revealing differential expression of genes involved in autophagy, mitochondrial metabolism, and cardiac remodeling. These data provide new insights into the transcriptional landscape regulated by SPOP in the hypertrophic heart.
This dataset
Open GSE304791 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 GSE304791_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 PRJNA1302744 and SRA study SRP607236. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
5 × WT mice heart repeat vs 5 × SPOP CKI mice heart repeat

Supports a between-group comparison across 10 samples.

How we read this: 2 replicated groups read from 10 sample titles; they account for 10 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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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.