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Targeting STK39 ameliorates cardiac remodeling by Improving Mitochondrial function through degradation of IFIT3

GSE327276 Mus musculus (mouse) RNA-seq (gene expression) 6 samples Submitted 2026/09/28 Platform GPL28330
At a glance

RNA-seq (gene expression) · mouse · 6 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
6 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)
Pathological cardiac remodeling under chronic stress load is a key process in the progression of heart failure (HF), but its underlying molecular mechanisms are not yet fully understood, which limits the development of therapeutic approaches. In this study, we identified serine/threonine kinase 39 (STK39) as a key mediator, showing that it is significantly upregulated in human hypertrophic hearts and in the hearts of mice after transverse aortic constriction.
Read the full summary ↓
Cardiomyocyte-specific knockdown of STK39 can improve cardiac hypertrophy, enhance ventricular function, and reduce myocardial fibrosis in vivo, while in vitro, silencing STK39 in mouse cardiomyocytes can inhibit angiotensin II (Ang II)-induced hypertrophic growth, fibrosis, and mitochondrial dysfunction. Therefore, RNA sequencing was performed on cardiomyocytes from the AngII-siNC group and the AngII-siSTK39 group to identify downstream targets of STK39 and elucidate its signaling pathway mechanisms.
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 GSE327276_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 PRJNA1450094 and SRA study SRP689935. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 6 more — browse all 6 samples with per-sample file links →

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