UCLA Center of Excellence for Pancreatic Diseases, Los Angeles Biomedical Research Institute, 1124 West Carson Torrance, CA 90502, USA.
Clin Biochem. 2010 Nov;43(16-17):1269-77. doi: 10.1016/j.clinbiochem.2010.07.027. Epub 2010 Aug 14.
Tracer-based metabolomics is a systems biology tool that combines advances in tracer methodology for physiological studies, high throughput "-omics" technologies and constraint based modeling of metabolic networks. It is different from the commonly known metabolomics or metabonomics in that it is a targeted approach based on a metabolic network model in cells. Because of its complexity, it is the least understood among the various "-omics." In this review, the development of concepts and practices of tracer-based metabolomics is traced from the early application of radioactive isotopes in metabolic studies to the recent application of stable isotopes and isotopomer analysis using mass spectrometry; and from the modeling of biochemical reactions using flux analysis to the recent theoretical formulation of the constraint based modeling. How these newer experimental methods and concepts of constraint-based modeling approaches can be applied to metabolic studies is illustrated by examples of studies in determining metabolic responses of cells to pharmacological agents and nutrient environment changes.
示踪剂代谢组学是一种系统生物学工具,它结合了示踪剂方法在生理研究中的进展、高通量的“组学”技术和代谢网络的基于约束的建模。它与通常所知的代谢组学或代谢组学不同,因为它是一种基于细胞中代谢网络模型的靶向方法。由于其复杂性,它是各种“组学”中最不为人知的。在这篇综述中,从放射性同位素在代谢研究中的早期应用到最近使用质谱进行稳定同位素和同位素质谱分析的应用,追踪了基于示踪剂的代谢组学的概念和实践的发展;从使用通量分析对生化反应进行建模到最近基于约束的建模的理论公式化。通过对细胞对药物和营养环境变化的代谢反应的研究示例,说明了这些更新的实验方法和基于约束的建模方法的概念如何应用于代谢研究。