Single cell analysis: the new frontier in 'omics'

被引：516
作者：
Wang, Daojing [1 ]
Bodovitz, Steven [2 ]
机构：
[1] Univ Calif Berkeley, Lawrence Berkeley Lab, Div Life Sci, Berkeley, CA 94720 USA
[2] BioPerspectives, San Francisco, CA USA
来源：
TRENDS IN BIOTECHNOLOGY | 2010年 / 28卷 / 06期
基金：
美国国家航空航天局; 美国国家卫生研究院;
关键词：
STOCHASTIC GENE-EXPRESSION; MASS-SPECTROMETRY; MICROFLUIDIC DEVICES; PROTEOMIC ANALYSIS; PANCREATIC-ISLETS; PICOLITER-VOLUME; CANCER-CELLS; STEM-CELLS; RNA-SEQ; DNA;
D O I：
10.1016/j.tibtech.2010.03.002
中图分类号：
Q81 [生物工程学（生物技术）]; Q93 [微生物学];
学科分类号：
071005 ; 0836 ; 090102 ; 100705 ;
摘要：
Cellular heterogeneity that arises from stochastic expression of genes, proteins and metabolites is a fundamental principle of cell biology, but single cell analysis has been beyond the capability of 'omics' technology. This is rapidly changing with the recent examples of single cell genomics, transcriptomics, proteomics and metabolomics. The rate of change is expected to accelerate owing to emerging technologies that range from micro/nanofluidics to microfabricated interfaces for mass spectrometry to third- and fourth-generation automated DNA sequencers. As described in this review, single cell analysis is the new frontier in omics, and single cell omics has the potential to transform systems biology through new discoveries derived from cellular heterogeneity.
引用
收藏
页码：281 / 290
页数：10
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