Pan Xinghua
Department of Genetics, School of Medicine, Yale University, New Haven, CT, USA.
Single Cell Biol. 2014;3(1). doi: 10.4172/2168-9431.1000106.
Single-cell analysis heralds a new era that allows "omics" analysis, notably genomics, transcriptomics, epigenomics and proteomics at the single-cell level. It enables the identification of the minor subpopulations that may play a critical role in a biological process of a population of cells, which conventionally are regarded as homogeneous. It provides an ultra-sensitive tool to clarify specific molecular mechanisms and pathways and reveal the nature of cell heterogeneity. It also facilitates the clinical investigation of patients when a very low quantity or a single cell is available for analysis, such as noninvasive prenatal diagnosis and cancer screening, and genetic evaluation for in vitro fertilization. Within a few short years, single-cell analysis, especially whole genomic sequencing and transcriptomic sequencing, is becoming robust and broadly accessible, although not yet a routine practice. Here, with single cell RNA-seq emphasized, an overview of the discipline, progresses, and prospects of single-cell analysis and its applications in biology and medicine are given with a series of logic and theoretical considerations.
单细胞分析开创了一个新时代,它允许在单细胞水平上进行“组学”分析,特别是基因组学、转录组学、表观基因组学和蛋白质组学。它能够识别那些在一群传统上被视为同质化的细胞的生物学过程中可能起关键作用的少数亚群。它提供了一种超灵敏的工具,以阐明特定的分子机制和途径,并揭示细胞异质性的本质。当仅有极少量样本或单个细胞可用于分析时,如无创产前诊断、癌症筛查以及体外受精的遗传评估,单细胞分析也有助于对患者进行临床研究。在短短几年内,单细胞分析,尤其是全基因组测序和转录组测序,正变得成熟且广泛可用,尽管尚未成为常规操作。在此,以单细胞RNA测序为重点,通过一系列逻辑和理论思考,对单细胞分析学科、进展、前景及其在生物学和医学中的应用进行概述。