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Dataset Information

Single-cell and bulk transcriptome analyses revealed the role of macrophage cholesterol metabolism in atherosclerosis.


ABSTRACT:

Background

Atherosclerosis (AS) is a complex cardiovascular disease characterized by dysregulated macrophage cholesterol metabolism (CM), a central driver of foam cell formation and plaque progression. However, how macrophage CM becomes dysregulated is still not fully understood. Single-cell RNA sequencing (scRNA-seq) was combined with bulk RNA-seq data to identify CM-related genes with diagnostic and therapeutic potential.

Methods

Data for this study were sourced from Gene Expression Omnibus (GEO), comprising one scRNA-seq dataset and several bulk mRNA transcriptomic datasets. ScRNA-seq was utilized to investigate the heterogeneity of CM in different cells in AS-affected tissues and identify genes associated with macrophage CM. For the bulk RNA-seq dataset, machine learning

SUBMITTER: Ke J 

PROVIDER: S-EPMC12764032 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature