Huang Kongwei, Xu Yixue, Feng Tong, Lan Hong, Ling Fei, Xiang Hai, Liu Qingyou
Guangdong Provincial Key Laboratory of Animal Molecular Design and Precise Breeding, School of Life Science and Engineering, Foshan University, Foshan 528225, China.
School of Biology and Biological Engineering, South China University of Technology, Guangzhou 510641, China.
Biology (Basel). 2024 Jun 19;13(6):451. doi: 10.3390/biology13060451.
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.
单细胞RNA测序技术(scRNA-seq)自2009年问世以来一直在稳步发展。与批量RNA测序不同,scRNA-seq能够识别组织细胞的异质性,并在微观层面揭示单个细胞中的基因表达变化。在此,我们回顾scRNA-seq的发展历程,它经历了逆转录、体外转录、smart-seq、drop-seq、10×基因组学以及空间单细胞转录组技术等迭代。10×基因组学技术已在医学和生物学中得到广泛应用,产生了丰富的研究成果。此外,本综述还总结了单细胞转录组数据的分析过程及其与其他组学分析(包括基因组学、表观基因组学、蛋白质组学和代谢组学)的整合。单细胞转录组在生物学和医学中具有广泛的应用。本综述分析了scRNA-seq在癌症、干细胞研究、发育生物学、微生物学等领域的应用。从本质上讲,scRNA-seq提供了一种阐明单细胞中基因表达模式的方法,从而为科学研究提供了一个有价值的工具。然而,当前的单细胞转录组技术仍然不完善,本综述指出了其缺点并展望了未来的发展。本综述的目的是促进对scRNA-seq技术及其在生物和医学研究中的应用有更深入的理解,并确定符合实际需求的未来发展方向。