← BioTransfer GEO Dataset Finder
GEO series

Sirtuin 4 accelerates heart failure development by enhancing reactive oxygen species-mediated profibrotic transcriptional signaling

GSE234210 Mus musculus (mouse) RNA-seq (gene expression) 36 samples Submitted 2025/06/05 Platform GPL13112
At a glance

RNA-seq (gene expression) · mouse · 36 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
36 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.
Summary (written by the submitters)
Sirtuin 4 (SIRT4) is a mitochondrially-localized stress-responsive NAD+-dependent deacylase predominantly regulating energy metabolism and ROS homeostasis. While SIRT4 has been implicated in pathological cardiac hypertrophy, underlying mechanisms remain incompletely understood. Here, we show that myocardial expression of SIRT4 was decreased in individuals with severe dilated cardiomyopathy (-73%) but was relatively higher in subjects with concomitant type 2 diabetes (T2D; +56%).
Read the full summary ↓
To evaluate consequences and mechanisms of altered myocardial SIRT4 expression, mice with global Sirt4 deletion (Sirt4-/-) or cardiomyocyte-specific Sirt4 overexpression (cSirt4-Tg) underwent transverse aortic constriction (TAC) or sham procedures. Cardiac structure and function were similar in Sirt4-/- and WT mice 12 weeks following TAC, whereas cSirt4-Tg mice displayed aggravated cardiac dilation, dysfunction, and fibrosis following TAC. Transcriptional analysis using RNA sequencing revealed synergistic upregulation of collagens and profibrotic regulators in TAC-treated cSirt4-Tg mice, including transforming growth factor beta (TGF), connective tissue growth factor (CTGF), or follistatin-like 1 (Fstl1). These alterations were reversed by mitochondria-targeted antioxidant treatment using MitoQ, along with attenuation of cardiac dysfunction and remodeling, and reversal of tissue fibrosis. SIRT4 overexpression may drive oxidative stress and fibrotic signaling via synergistically increased NOX4 expression (> 7-fold), and/or direct modulation of SIRT4 targets newly identified by protoarray experiments, including calcitonin gene-related peptide (CGRP) receptor component protein (RCP), cyclophilin A, and interleukin-2 receptor β. Thus, SIRT4 overexpression aggravates cardiac remodeling and dysfunction in response to chronic pressure overload by ROS-mediated enhancement of profibrotic transcriptional signaling, suggesting that relatively higher SIRT4 expression may aggravate heart failure development in individuals with concomitant T2D.
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 GSE234210_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: 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 PRJNA980290 and SRA study SRP441236. 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.

+ 36 more — browse all 36 samples with per-sample file links →

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.