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代谢组学在天然产物和生物标志物表征中的应用。

The utility of metabolomics in natural product and biomarker characterization.

作者信息

Cox Daniel G, Oh Joonseok, Keasling Adam, Colson Kim L, Hamann Mark T

机构信息

Department of Pharmacognosy, Pharmacology, Chemistry and Biochemistry and Research Institute of Pharmaceutical Sciences, School of Pharmacy, The University of Mississippi, University, MS 38677, USA.

R&D Division, Bruker BioSpin, 15 Fortune Drive Billerica, MA 01821, USA.

出版信息

Biochim Biophys Acta. 2014 Dec;1840(12):3460-3474. doi: 10.1016/j.bbagen.2014.08.007. Epub 2014 Aug 20.

Abstract

BACKGROUND

Metabolomics is a well-established rapidly developing research field involving quantitative and qualitative metabolite assessment within biological systems. Recent improvements in metabolomics technologies reveal the unequivocal value of metabolomics tools in natural products discovery, gene-function analysis, systems biology and diagnostic platforms.

SCOPE OF REVIEW

We review here some of the prominent metabolomics methodologies employed in data acquisition and analysis of natural products and disease-related biomarkers.

MAJOR CONCLUSIONS

This review demonstrates that metabolomics represents a highly adaptable technology with diverse applications ranging from environmental toxicology to disease diagnosis. Metabolomic analysis is shown to provide a unique snapshot of the functional genetic status of an organism by examining its biochemical profile, with relevance toward resolving phylogenetic associations involving horizontal gene transfer and distinguishing subgroups of genera possessing high genetic homology, as well as an increasing role in both elucidating biosynthetic transformations of natural products and detecting preclinical biomarkers of numerous disease states.

GENERAL SIGNIFICANCE

This review expands the interest in multiplatform combinatorial metabolomic analysis. The applications reviewed range from phylogenetic assignment, biosynthetic transformations of natural products, and the detection of preclinical biomarkers.

摘要

背景

代谢组学是一个成熟且快速发展的研究领域,涉及生物系统内代谢物的定量和定性评估。代谢组学技术的最新进展揭示了代谢组学工具在天然产物发现、基因功能分析、系统生物学和诊断平台方面的明确价值。

综述范围

我们在此回顾一些用于天然产物和疾病相关生物标志物数据采集与分析的重要代谢组学方法。

主要结论

本综述表明,代谢组学是一项适应性很强的技术,其应用广泛,涵盖从环境毒理学到疾病诊断等多个领域。代谢组学分析通过检查生物体的生化特征,能够提供其功能基因状态的独特快照,这对于解决涉及水平基因转移的系统发育关联以及区分具有高度基因同源性的属的亚组具有重要意义,同时在阐明天然产物的生物合成转化和检测多种疾病状态的临床前生物标志物方面的作用也日益凸显。

普遍意义

本综述扩大了对多平台组合代谢组学分析的关注。所综述的应用范围包括系统发育归属、天然产物的生物合成转化以及临床前生物标志物的检测。

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