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Systems Analysis of Plant Functional Transcriptional Physical Interaction and Metabolic Networks

机译:植物功能转录物理相互作用和代谢网络的系统分析

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摘要

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.
机译:生理反应,发育程序和细胞功能依赖于不同水平和规模的复杂相互作用网络。系统生物学将高通量的生化,遗传和分子方法整合在一起,以生成可以进行数学和计算模型分析和使用的组学数据,从而在全球范围内发现这些网络。已经采用了各种方法,包括转录组学,蛋白质组学,相互作用组学和代谢组学,以获取有关细胞,组织,器官和全植物水平的这些数据。我们总结了基因调控,功能,蛋白质相互作用和代谢网络方面的进展。我们还将说明从拟南芥中获得的具体实例,这些实例已用于获得这些网络,并描述了每种方法的优缺点。

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