School of Biosciences, University of Birmingham, Birmingham B15 2TT, United Kingdom.
Plant Cell. 2012 Oct;24(10):3859-75. doi: 10.1105/tpc.112.100776. Epub 2012 Oct 30.
Physiological responses, developmental programs, and cellular functions rely on complex networks of interactions at different levels and scales. Systems biology brings together high-throughput biochemical, genetic, and molecular approaches to generate omics data that can be analyzed and used in mathematical and computational models toward uncovering these networks on a global scale. Various approaches, including transcriptomics, proteomics, interactomics, and metabolomics, have been employed to obtain these data on the cellular, tissue, organ, and whole-plant level. We summarize progress on gene regulatory, cofunction, protein interaction, and metabolic networks. We also illustrate the main approaches that have been used to obtain these networks, with specific examples from Arabidopsis thaliana, and describe the pros and cons of each approach.
生理反应、发育程序和细胞功能依赖于不同层次和尺度上的复杂相互作用网络。系统生物学汇集了高通量的生化、遗传和分子方法，以生成组学数据，这些数据可以在数学和计算模型中进行分析和利用，从而在全局范围内揭示这些网络。各种方法，包括转录组学、蛋白质组学、相互作用组学和代谢组学，已被用于在细胞、组织、器官和整个植物水平上获取这些数据。我们总结了基因调控、共功能、蛋白质相互作用和代谢网络的进展。我们还举例说明了从拟南芥中获得这些网络的主要方法，并描述了每种方法的优缺点。
