A synthetic biology approach to understanding cellular information processing.
A synthetic biology approach to understanding cellular information processing.
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DOI：
10.1021/sb300044r
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发表时间：
2012-09-21
影响因子：
4.7
通讯作者：
You, Lingchong
中科院分区：
文献类型：
--
作者：
Riccione, Katherine A.;Smith, Robert P.;Lee, Anna J.;You, Lingchong
细胞和生物体的生存需要对环境信号做出适当的反应。这些反应由细胞网络控制，细胞网络用于处理不同的环境线索。生物网络通常包含重复出现的网络拓扑结构，称为“基序”。人们已经认识到，对这些基序的研究可以预测生物网络的反应，从而预测细胞行为。然而，在自然环境中研究一个单独的基序与所有其他网络基序完全隔离是困难的。合成生物学已成为了解网络基序动态特性的有力方法。除了测试现有的理论预测，合成基因电路的构建和分析还导致了新的基序动力学的发现，例如简单基序的组合如何导致自主动力学，或者转录和翻译中的噪声如何影响基序的动力学。在这里，我们回顾了合成生物学的发展，因为它们涉及到增加我们对细胞信息处理的理解。我们强调了几种类型的动态行为，不同的图案可以产生，包括输入/输出响应的控制，自主的空间和时间动态的产生，以及噪声的影响，在图案的动态和细胞行为。
The survival of cells and organisms requires proper responses to environmental signals. These responses are governed by cellular networks, which serve to process diverse environmental cues. Biological networks often contain recurring network topologies called ‘motifs’. It has been recognized that the study of such motifs allows one to predict the response of a biological network, and thus cellular behavior. However, studying a single motif in complete isolation of all other network motifs in a natural setting is difficult. Synthetic biology has emerged as a powerful approach to understanding the dynamic properties of network motifs. In addition to testing existing theoretical predictions, construction and analysis of synthetic gene circuits has led to the discovery of novel motif dynamics such as how the combination of simple motifs can lead to autonomous dynamics or how noise in transcription and translation can affect the dynamics of a motif. Here, we review developments in synthetic biology as they pertain to increasing our understanding of cellular information processing. We highlight several types of dynamic behaviors that diverse motifs can generate, including the control of input/output responses, the generation of autonomous spatial and temporal dynamics, as well as the influence of noise in motif dynamics and cellular behavior.
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