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CD163+ cardiac macrophages attenuate pressure overload-induced left ventricular systolic dysfunction via interleukin-10

GSE277624 Mus musculus (mouse) RNA-seq (gene expression) 10 samples Submitted 2025/05/08 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
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
CD163(+) macrophages attenuate pressure overload-induced left ventricular systolic dysfunction and cardiac mitochondrial dysfunction via interleukin-10Basic research in cardiology · 2025
Summary (written by the submitters)
Background Chronic sustained pressure overload induces cardiac remodeling, which often leads to heart failure. Cardiac macrophages (cMacs) are heterogeneous cell populations, and their elimination has been shown to exacerbate pressure overload-induced heart failure. CD163, a macrophage-specific scavenger receptor expressed in a subset of cMacs, has been linked to cardiovascular events through its serum soluble form.
Read the full summary ↓
This study aimed to elucidate the functional role of the CD163+ cMacs subset in pressure overload-induced heart failure. Methods Transverse aortic constriction (TAC) was performed on wild-type and CD163-deficient (Cd163-/-) mice to investigate the role of CD163 in pressure overload-induced cardiac remodeling and heart failure. Echocardiography was used to assess heart structure and function. Transcriptomic analysis and transmission electron microscopy were employed to observe mitochondrial structure in cardiomyocytes. Flow cytometry was used to quantify cMacs and cytokine-expressing cMacs in the heart. Additionally, serum samples from hypertensive patients with and without heart failure were analyzed to explore the relationship between CD163 and heart failure. Results TAC-induced left ventricular systolic dysfunction, including reduced ejection fraction and fractional shortening, was significantly aggravated in Cd163-/- mice post-surgery. Genes differentially expressed due to CD163 deficiency were enriched in pathways related to mitochondrial bioenergetics and homeostasis. Transmission electron microscopy revealed an increase in dysfunctional mitochondria in cardiomyocytes of Cd163-/- mice post-TAC. Additionally, decreased serum interleukin (IL)-10 levels and reduced IL-10 expression in cMacs were observed in Cd163-/- mice post-TAC. IL-10 supplementation significantly reversed TAC-induced reductions in left ventricular systolic function and improved mitochondrial bioenergetics and homeostasis in Cd163-/- mice. Conclusions The protective functions of CD163 in cMacs are associated with IL-10 expression during pressure overload-induced heart failure.
Published in
CD163(+) macrophages attenuate pressure overload-induced left ventricular systolic dysfunction and cardiac mitochondrial dysfunction via interleukin-10
Ni W, Ge X, Liu Y et al. · Basic research in cardiology 2025 · PMID 40343453 · doi:10.1007/s00395-025-01114-z
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 GSE277624_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 PRJNA1162930 and SRA study SRP533688. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 10 more — browse all 10 samples with per-sample file links →

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