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Metabolomics: The Future of Systems Biology

机译:代谢组学:系统生物学的未来

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The collection of global metabolic data and their interpretation (both spectral and biochemical) using modern spectroscopic techniques and appropriate statistical approaches, are known as `metabolomics’. This review covers research on metabolomics, ranging from the development of specialized chemical analytical techniques to the construction of databases and methods for metabolic simulation. Furthermore we have also outlined the recent developments in elucidating the system-level functions of the bioconstituents of living organisms. Metabolomics has the potential to serve an important role in diagnosis and management of human conditions. As such the purpose of this systematic review is to summarize existing literature on metabolomics and its various techniques in terms of diagnostic accuracies and distinguishing metabolites. This article has also highlighted the novelty of the field of metabolomics with various detection methods. Here metabolomic methodologies are discussed briefly followed by a more detailed review of the use of metabolomics in integrated applications where metabolomics information has been combined with other “omic” data sets (proteomics, transcriptomics) to enable greater understanding of a biological system.
机译:使用现代光谱技术和适当的统计方法收集全球代谢数据及其解释(包括光谱和生化),被称为“代谢组学”。这篇综述涵盖了有关代谢组学的研究,从专门的化学分析技术的发展到代谢模拟的数据库和方法的构建。此外,我们还概述了阐明活生物体生物成分的系统级功能的最新进展。代谢组学在人类状况的诊断和管理中具有重要作用。因此,本系统综述的目的是就诊断准确性和区分代谢物的观点,总结有关代谢组学及其各种技术的现有文献。本文还通过各种检测方法强调了代谢组学领域的新颖性。这里简要讨论了代谢组学方法,然后对代谢组学在综合应用中的使用进行了更详细的综述,在这些应用中,代谢组学信息已与其他“组学”数据集(蛋白质组学,转录组学)结合在一起,从而能够更好地理解生物系统。

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