Measurement and Modeling of Signaling at the Single-Cell Level

被引:20
|
作者
Kolitz, Sarah E. [1 ]
Lauffenburger, Douglas A. [1 ]
机构
[1] MIT, Dept Biol Engn, Cambridge, MA 02139 USA
基金
美国国家卫生研究院;
关键词
KAPPA-B DYNAMICS; KINASE-ACTIVITY; GENE-EXPRESSION; FLOW-CYTOMETRY; CANCER-CELLS; DRUG RESPONSES; VARIABILITY; PATHWAY; ASSAY; NOISE;
D O I
10.1021/bi300846p
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
It has long been recognized that a deeper understanding of cell function, with respect to execution of phenotypic behaviors and their regulation by the extracellular environment, is likely to be achieved by analyzing the underlying molecular processes for individual cells selected from across a population, rather than averages of many cells comprising that population. In recent years, experimental and computational methods for undertaking these analyses have advanced rapidly. In this review, we provide a perspective on both measurement and modeling facets of biochemistry at a single-cell level. Our central focus is on receptor-mediated signaling networks that regulate cell phenotypic functions.
引用
收藏
页码:7433 / 7443
页数:11
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