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Targeting PDE2A of macrophages attenuates sorafenib-induced cardiotoxicity

GSE327921 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2026/05/10 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 12 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
12 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)
Background: Sorafenib, a multi-kinase inhibitor widely used in hepatocellular carcinoma, is associated with clinically relevant cardiotoxicity, but the underlying mechanisms remain incompletely understood. Cardiac macrophages are key regulators of inflammatory injury in the heart; however, their role in sorafenib-induced cardiotoxicity (SIC) has not been fully defined.
Read the full summary ↓
Methods: A murine model of SIC was established in C57BL/6J mice. Indirect macrophage-cardiomyocyte co-culture systems were used for in vitro mechanistic studies. Macrophages were depleted in vivo using PLX3397. Transcriptomic profiling was performed to identify candidate mediators associated with macrophage-related SIC. PDE2A was further investigated using genetic knockdown and pharmacological inhibition in cellular and animal models. Results: Sorafenib induced cardiac dysfunction, myocardial injury, and inflammatory remodeling in vivo, accompanied by increased cardiac macrophage infiltration and a shift toward a pro-inflammatory phenotype. In vitro, macrophages exacerbated sorafenib-induced cardiomyocyte injury, oxidative stress, and mitochondrial dysfunction, whereas macrophage depletion attenuated SIC in vivo. Transcriptomic analysis identified PDE2A as an upregulated candidate in sorafenib-injured hearts, and this increase was reduced by macrophage depletion. PDE2A expression was preferentially increased in macrophages rather than cardiomyocytes under sorafenib exposure. Genetic or pharmacological inhibition of PDE2A attenuated injury-related phenotypes and inflammatory activation in vitro and alleviated SIC in vivo. Mechanistically, these effects were predominantly associated with cGMP/PKG signaling rather than cAMP/PKA signaling. In tumor-bearing models, BAY60-7550 did not compromise the anti-tumor effect of sorafenib and was associated with enhanced tumor suppression. Conclusion: These findings indicate that sorafenib-induced cardiotoxicity is closely associated with macrophage-driven inflammatory remodeling and identify PDE2A as a candidate mediator of this process. Pharmacological inhibition of PDE2A attenuated cardiac injury while maintaining, and potentially enhancing, the anti-tumor activity of sorafenib, supporting PDE2A as a potential therapeutic target in this setting.
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 GSE327921_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 PRJNA1453000 and SRA study SRP691558. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 12 more — browse all 12 samples with per-sample file links →

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