Uncovering endothelial to mesenchymal transition drivers in atherosclerosis via multi-omics analysis.

ABSTRACT:

Purpose

This study aimed to identify novel candidates that regulate Endothelial to mesenchymal transition(EndMT) in atherosclerosis by integrating multi-omics data.

Methods

The single-cell RNA sequencing (scRNA-seq) dataset GSE159677, bulk RNA-seq dataset GSE118446 and microarray dataset GSE56309 were obtained from the Gene Expression Omnibus (GEO) database. The uniform manifold approximation and projection (UMAP) were used for downscaling and cluster identification. Differentially expressed genes (DEGs) from GSE118446 and GSE56309 were analyzed using limma package. Functional enrichment analysis was applied by DAVID functional annotation tool. Quantitative real-time polymerase chain reaction (qPCR) and western blotting were used for further validation.

Results

Nine e

SUBMITTER: Huang Q 

PROVIDER: S-EPMC11831781 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature