Cellular noise and information transmission

被引:84
|
作者
Levchenko, Andre [1 ,2 ]
Nemenman, Ilya [3 ,4 ]
机构
[1] Yale Univ, Yale Syst Biol Inst, New Haven, CT 06520 USA
[2] Yale Univ, Dept Biomed Engn, New Haven, CT 06520 USA
[3] Emory Univ, Dept Phys, Atlanta, GA 30322 USA
[4] Emory Univ, Dept Biol, Atlanta, GA 30322 USA
关键词
STOCHASTIC GENE-EXPRESSION; BACTERIAL PERSISTENCE; SIMULATION; ENTROPY; SYSTEMS;
D O I
10.1016/j.copbio.2014.05.002
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
The technological revolution in biological research, and in particular the use of molecular fluorescent labels, has allowed investigation of heterogeneity of cellular responses to stimuli on the single cell level. Computational, theoretical, and synthetic biology advances have allowed predicting and manipulating this heterogeneity with an exquisite precision previously reserved only for physical sciences. Functionally, this cell-to-cell variability can compromise cellular responses to environmental signals, and it can also enlarge the repertoire of possible cellular responses and hence increase the adaptive nature of cellular behaviors. And yet quantification of the functional importance of this response heterogeneity remained elusive. Recently the mathematical language of information theory has been proposed to address this problem. This opinion reviews the recent advances and discusses the broader implications of using information-theoretic tools to characterize heterogeneity of cellular behaviors.
引用
收藏
页码:156 / 164
页数:9
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