"Immunoregulation in Atherosclerosis: A Single-Cell RNA Sequencing Study"

"Reprocessing~Data normalization, dimensionality reduction, and clustering will be performed using the Seurat package (based on R).~Cell types will be identified based on canonical marker gene expression. Cell Subpopulation Identification~Clusters will be annotated based on signatures of known cell types (e.g., endothelial cells, smooth muscle cells, macrophages, etc.).~Differential gene expression analysis will be conducted to identify disease-associated genes.~Pathway and Function Enrichment~Gene Set Enrichment Analysis (GSEA) and pathway analyses (e.g., KEGG, Reactome) will be carried out to investigate the biological processes and pathways driving atherosclerosis.~Quality Control~Sequencing reads will be assessed for quality using FASTQC, and low-quality reads will be filtered out.~The Cell Ranger software (10x Genomics) will be used to align reads to the human genome and quantify gene expression at the single-cell level."