Antoniewicz Maciek R
Department of Chemical and Biomolecular Engineering, Metabolic Engineering and Systems Biology Laboratory, University of Delaware, 150 Academy St, Newark, DE, 19716, USA,
J Ind Microbiol Biotechnol. 2015 Mar;42(3):317-25. doi: 10.1007/s10295-015-1585-x. Epub 2015 Jan 23.
Metabolic flux analysis (MFA) is one of the pillars of metabolic engineering. Over the past three decades, it has been widely used to quantify intracellular metabolic fluxes in both native (wild type) and engineered biological systems. Through MFA, changes in metabolic pathway fluxes are quantified that result from genetic and/or environmental interventions. This information, in turn, provides insights into the regulation of metabolic pathways and may suggest new targets for further metabolic engineering of the strains. In this mini-review, we discuss and classify the various methods of MFA that have been developed, which include stoichiometric MFA, (13)C metabolic flux analysis, isotopic non-stationary (13)C metabolic flux analysis, dynamic metabolic flux analysis, and (13)C dynamic metabolic flux analysis. For each method, we discuss key advantages and limitations and conclude by highlighting important recent advances in flux analysis approaches.
代谢通量分析（MFA）是代谢工程的支柱之一。在过去三十年中，它已被广泛用于量化天然（野生型）和工程生物系统中的细胞内代谢通量。通过MFA，可以量化由遗传和/或环境干预导致的代谢途径通量变化。反过来，这些信息有助于深入了解代谢途径的调控，并可能为菌株的进一步代谢工程提供新的靶点。在本综述中，我们讨论并分类了已开发的各种MFA方法，包括化学计量MFA、（13）C代谢通量分析、同位素非稳态（13）C代谢通量分析、动态代谢通量分析和（13）C动态代谢通量分析。对于每种方法，我们讨论了其关键优点和局限性，并通过强调通量分析方法的重要最新进展来进行总结。
