Single-cell RNA sequencing for the study of development, physiology and disease

被引:328
|
作者
Potter, S. Steven [1 ]
机构
[1] Cincinnati Childrens Med Ctr, Div Dev Biol, Cincinnati, OH 45529 USA
关键词
HUMAN COLORECTAL TUMORS; GENE-EXPRESSION; KIDNEY DEVELOPMENT; STEM-CELLS; COMPONENT ANALYSIS; MOLECULAR ATLAS; BREAST-CANCER; HUMAN LIVER; SEQ DATA; IN-VIVO;
D O I
10.1038/s41581-018-0021-7
中图分类号
R5 [内科学]; R69 [泌尿科学(泌尿生殖系疾病)];
学科分类号
1002 ; 100201 ;
摘要
An ongoing technological revolution is continually improving our ability to carry out very high-resolution studies of gene expression patterns. Current technology enables the global gene expression profiles of single cells to be defined, facilitating dissection of heterogeneity in cell populations that was previously hidden. In contrast to gene expression studies that use bulk RNA samples and provide only a virtual average of the diverse constituent cells, single-cell studies enable the molecular distinction of all cell types within a complex population mix, such as a tumour or developing organ. For instance, single-cell gene expression profiling has contributed to improved understanding of how histologically identical, adjacent cells make different differentiation decisions during development. Beyond development, single-cell gene expression studies have enabled the characteristics of previously known cell types to be more fully defined and facilitated the identification of novel categories of cells, contributing to improvements in our understanding of both normal and disease-related physiological processes and leading to the identification of new treatment approaches. Although limitations remain to be overcome, technology for the analysis of single-cell gene expression patterns is improving rapidly and beginning to provide a detailed atlas of the gene expression patterns of all cell types in the human body.
引用
收藏
页码:479 / 492
页数:14
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