细胞噪声与信息传递。
Cellular noise and information transmission.
机构信息
Yale Systems Biology Institute and Department of Biomedical Engineering, Yale University, New Haven, CT 06520, USA.
Department of Physics, Emory University, Atlanta, GA 30322, USA; Department of Biology, Emory University, Atlanta, GA30322,USA.
出版信息
Curr Opin Biotechnol. 2014 Aug;28:156-64. doi: 10.1016/j.copbio.2014.05.002. Epub 2014 Jun 9.
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.
生物研究领域的技术革命，尤其是分子荧光标记的应用，使得人们能够在单细胞水平上研究细胞对刺激的异质性反应。计算、理论和合成生物学的进步使得人们能够以前所未有的精确程度预测和操纵这种异质性，而这种精确程度以前只保留给物理科学。从功能上讲，这种细胞间的可变性可能会影响细胞对环境信号的反应，也可能会扩大可能的细胞反应谱，从而增加细胞行为的适应性。然而，这种反应异质性的功能重要性的量化仍然难以捉摸。最近，信息论的数学语言被提出来解决这个问题。本文综述了最近的进展，并讨论了使用信息论工具来描述细胞行为异质性的更广泛意义。
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