Current Advances in Single-Cell RNA Sequencing in Diabetic Retinopathy

Abstract

With the development of high-throughput sequencing technology, humans have been able to conduct large-scale analysis of DNA sequence, chromatin structure, RNA transcripts, proteins, metabolites and other genomes and their products. Traditional high-throughput transcriptome sequencing techniques based on tissue samples (RNA Seq) are used to centrally sequence thousands of cells, each of which varies in size, protein levels, and mRNA expression transcription. Measuring the average of multiple cells grouped together can mask significant differences in gene expression between cells. Single-cell RNA sequencing is a technique for high-throughput sequencing of the genome, transcriptome, and epigenome at the single-cell level. Based on the single cell RNA transcription map, the intraocular cells can be distinguished from other subtypes, and the different subtypes are found to have significant differences in morphology, physiology and specific expression genes. In recent years, the application of single-cell RNA sequencing technology in the field of ophthalmology has increased, mainly including cell type and cell subtype identification, retinal development process, and eye disease research. This paper systematically summarized the latest application of single-cell sequencing technology in the field of diabetic retinopathy, and summarized marker genes and potential therapeutic targets. It has guiding significance for the clinical treatment of diabetic retinopathy.