Huang, Kongwei, Xu, Yixue, Feng, Tong, Lan, Hong, Ling, Fei, Xiang, Hai, and Liu, Qingyou
Simple Summary: Single-cell RNA sequencing (scRNA-seq) is a technique that identifies different types of cells in a tissue and reveals how individual cells express genes. This review will examine the evolution of scRNA-seq, which has been widely used in medicine and biology with many results. It will also explore how single-cell transcriptome data can be combined with other omics data such as genome, epigenome, proteome, and metabolome data. The aim of this review is to help scientists to better apply this technology. Finally, this review summarizes the applications of scRNA-seq in cancer, stem cell research, developmental biology, microbiology, and other fields. It also discusses the limitations of this technology and its future developments in biological and medical research. Single-cell RNA sequencing technology (scRNA-seq) has been steadily developing since its inception in 2009. Unlike bulk RNA-seq, scRNA-seq identifies the heterogeneity of tissue cells and reveals gene expression changes in individual cells at the microscopic level. Here, we review the development of scRNA-seq, which has gone through iterations of reverse transcription, in vitro transcription, smart-seq, drop-seq, 10 × Genomics, and spatial single-cell transcriptome technologies. The technology of 10 × Genomics has been widely applied in medicine and biology, producing rich research results. Furthermore, this review presents a summary of the analytical process for single-cell transcriptome data and its integration with other omics analyses, including genomes, epigenomes, proteomes, and metabolomics. The single-cell transcriptome has a wide range of applications in biology and medicine. This review analyzes the applications of scRNA-seq in cancer, stem cell research, developmental biology, microbiology, and other fields. In essence, scRNA-seq provides a means of elucidating gene expression patterns in single cells, thereby offering a valuable tool for scientific research. Nevertheless, the current single-cell transcriptome technology is still imperfect, and this review identifies its shortcomings and anticipates future developments. The objective of this review is to facilitate a deeper comprehension of scRNA-seq technology and its applications in biological and medical research, as well as to identify avenues for its future development in alignment with practical needs. [ABSTRACT FROM AUTHOR]