Harvard University, 12 Oxford St., Cambridge, Massachusetts 02138, USA.
ACS Chem Biol. 2010 Jan 15;5(1):91-103. doi: 10.1021/cb900271r.
Metabolomics approaches provide an analysis of changing metabolite levels in biological samples. In the past decade, technical advances have spurred the application of metabolomics in a variety of diverse research areas spanning basic, biomedical, and clinical sciences. In particular, improvements in instrumentation, data analysis software, and the development of metabolite databases have accelerated the measurement and identification of metabolites. Metabolomics approaches have been applied to a number of important problems, which include the discovery of biomarkers as well as mechanistic studies aimed at discovering metabolites or metabolic pathways that regulate cellular and physiological processes. By providing access to a portion of biomolecular space not covered by other profiling approaches (e.g., proteomics and genomics), metabolomics offers unique insights into small molecule regulation and signaling in biology. In the following review, we look at the integration of metabolomics approaches in different areas of basic and biomedical research, and try to point out the areas in which these approaches have enriched our understanding of cellular and physiological biology, especially within the context of pathways linked to disease.
代谢组学方法提供了对生物样本中代谢物水平变化的分析。在过去的十年中,技术的进步推动了代谢组学在基础、生物医学和临床科学等多个不同研究领域的应用。特别是,仪器设备、数据分析软件的改进以及代谢物数据库的发展,加速了代谢物的测量和鉴定。代谢组学方法已应用于许多重要问题,包括生物标志物的发现以及旨在发现调节细胞和生理过程的代谢物或代谢途径的机制研究。通过提供其他分析方法(如蛋白质组学和基因组学)未涵盖的一部分生物分子空间的信息,代谢组学为小分子在生物学中的调控和信号转导提供了独特的见解。在下面的综述中,我们考察了代谢组学方法在基础和生物医学研究不同领域的整合,并试图指出这些方法在哪些方面丰富了我们对细胞和生理生物学的理解,尤其是在与疾病相关的途径方面。