Network dynamics: quantitative analysis of complex behavior in metabolism, organelles, and cells, from experiments to models and back.

IF 7.9 Q1 Medicine Wiley Interdisciplinary Reviews-Systems Biology and Medicine Pub Date : 2017-01-01 Epub Date: 2016-09-07 DOI:10.1002/wsbm.1352
Felix T Kurz, Jackelyn M Kembro, Ana G Flesia, Antonis A Armoundas, Sonia Cortassa, Miguel A Aon, David Lloyd
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引用次数: 32

Abstract

Advancing from two core traits of biological systems: multilevel network organization and nonlinearity, we review a host of novel and readily available techniques to explore and analyze their complex dynamic behavior within the framework of experimental-computational synergy. In the context of concrete biological examples, analytical methods such as wavelet, power spectra, and metabolomics-fluxomics analyses, are presented, discussed, and their strengths and limitations highlighted. Further shown is how time series from stationary and nonstationary biological variables and signals, such as membrane potential, high-throughput metabolomics, O2 and CO2 levels, bird locomotion, at the molecular, (sub)cellular, tissue, and whole organ and animal levels, can reveal important information on the properties of the underlying biological networks. Systems biology-inspired computational methods start to pave the way for addressing the integrated functional dynamics of metabolic, organelle and organ networks. As our capacity to unravel the control and regulatory properties of these networks and their dynamics under normal or pathological conditions broadens, so is our ability to address endogenous rhythms and clocks to improve health-span in human aging, and to manage complex metabolic disorders, neurodegeneration, and cancer. WIREs Syst Biol Med 2017, 9:e1352. doi: 10.1002/wsbm.1352 For further resources related to this article, please visit the WIREs website.

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网络动力学:代谢、细胞器和细胞中复杂行为的定量分析,从实验到模型再返回。
从生物系统的两个核心特征:多层次网络组织和非线性出发,我们回顾了许多新颖和现成的技术,以探索和分析实验-计算协同框架内的复杂动态行为。在具体的生物实例的背景下,分析方法,如小波,功率谱,代谢组学-通量组学分析,提出,讨论,并强调其优势和局限性。进一步展示了平稳和非平稳生物变量和信号的时间序列,如膜电位、高通量代谢组学、O2和CO2水平、鸟类运动,在分子、(亚)细胞、组织、整个器官和动物水平上,如何揭示潜在生物网络特性的重要信息。系统生物学启发的计算方法开始为解决代谢、细胞器和器官网络的综合功能动力学铺平道路。随着我们揭开这些网络的控制和调节特性及其在正常或病理条件下的动态的能力的扩大,我们解决内源性节律和时钟的能力也在扩大,以改善人类衰老的健康跨度,并管理复杂的代谢紊乱、神经变性和癌症。中国生物医学工程学报,2017,39(4):563 - 567。doi: 10.1002 / wsbm.1352有关与本文相关的更多资源,请访问WIREs网站。
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来源期刊
CiteScore
18.40
自引率
0.00%
发文量
0
审稿时长
>12 weeks
期刊介绍: Journal Name:Wiley Interdisciplinary Reviews-Systems Biology and Medicine Focus: Strong interdisciplinary focus Serves as an encyclopedic reference for systems biology research Conceptual Framework: Systems biology asserts the study of organisms as hierarchical systems or networks Individual biological components interact in complex ways within these systems Article Coverage: Discusses biology, methods, and models Spans systems from a few molecules to whole species Topical Coverage: Developmental Biology Physiology Biological Mechanisms Models of Systems, Properties, and Processes Laboratory Methods and Technologies Translational, Genomic, and Systems Medicine
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