Abstract
Traditional sequencing technologies analyze tissue samples at the cellular population level, making it difficult to reveal cellular heterogeneity and dynamic changes in the microenvironment. Single-cell RNA sequencing (scRNA-seq) analyzes gene expression at the single-cell level and overcomes the limitations of traditional bulk sequencing. In recent years, scRNA-seq has been gradually applied in research on ophthalmic diseases, providing a revolutionary tool for mapping the cellular heterogeneity network in the disease microenvironment and developing precise intervention strategies. This article systematically reviews the classification of single-cell sequencing technologies and the latest progress in scRNA-seq applications in atherosclerosis (AS) and ophthalmic diseases. It aims to provide new ideas to explore the pathological mechanisms underlying AS-related ischemic ophthalmopathy and optimize treatment strategies
