免疫系统
生物
计算生物学
转录组
破译
基因组学
单细胞分析
免疫
功能(生物学)
免疫学
系统生物学
先天免疫系统
基因
获得性免疫系统
神经科学
细胞
细胞生物学
基因组
生物信息学
遗传学
基因表达
作者
Michael J. T. Stubbington,Orit Rozenblatt–Rosen,Aviv Regev,Sarah A. Teichmann
出处
期刊:Science
[American Association for the Advancement of Science (AAAS)]
日期:2017-10-05
卷期号:358 (6359): 58-63
被引量:485
标识
DOI:10.1126/science.aan6828
摘要
The immune system varies in cell types, states, and locations. The complex networks, interactions, and responses of immune cells produce diverse cellular ecosystems composed of multiple cell types, accompanied by genetic diversity in antigen receptors. Within this ecosystem, innate and adaptive immune cells maintain and protect tissue function, integrity, and homeostasis upon changes in functional demands and diverse insults. Characterizing this inherent complexity requires studies at single-cell resolution. Recent advances such as massively parallel single-cell RNA sequencing and sophisticated computational methods are catalyzing a revolution in our understanding of immunology. Here we provide an overview of the state of single-cell genomics methods and an outlook on the use of single-cell techniques to decipher the adaptive and innate components of immunity.
科研通智能强力驱动
Strongly Powered by AbleSci AI