建立调控网络模型以理解植物发育：小即是美。
Modeling regulatory networks to understand plant development: small is beautiful.
机构信息
Center for Modeling and Simulation in the Biosciences and Interdisciplinary Center for Scientific Computing, University of Heidelberg, 69120 Heidelberg, Germany.
出版信息
Plant Cell. 2012 Oct;24(10):3876-91. doi: 10.1105/tpc.112.101840. Epub 2012 Oct 30.
Abstract
We now have unprecedented capability to generate large data sets on the myriad genes and molecular players that regulate plant development. Networks of interactions between systems components can be derived from that data in various ways and can be used to develop mathematical models of various degrees of sophistication. Here, we discuss why, in many cases, it is productive to focus on small networks. We provide a brief and accessible introduction to relevant mathematical and computational approaches to model regulatory networks and discuss examples of small network models that have helped generate new insights into plant biology (where small is beautiful), such as in circadian rhythms, hormone signaling, and tissue patterning. We conclude by outlining some of the key technical and modeling challenges for the future.
摘要
我们现在拥有前所未有的能力来生成大量关于调控植物发育的众多基因和分子参与者的数据。可以通过多种方式从这些数据中推导出系统组件之间的相互作用网络，并可用于开发各种复杂程度的数学模型。在这里，我们讨论为什么在许多情况下专注于小网络是富有成效的。我们简要介绍了相关的数学和计算方法，用于对调控网络进行建模，并讨论了一些小型网络模型的例子，这些模型有助于深入了解植物生物学（小即是美），例如生物钟节律、激素信号和组织模式形成。最后，我们概述了未来的一些关键技术和建模挑战。
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