Schwender Jörg
Biology Department, Brookhaven National Laboratory, Upton, NY 11973, USA.
Curr Opin Biotechnol. 2008 Apr;19(2):131-7. doi: 10.1016/j.copbio.2008.02.006.
Methods of metabolic flux analysis (MFA) provide insights into the theoretical capabilities of metabolic networks and allow probing the in vivo performance of cellular metabolism. In recent years, an increasing awareness has developed that network analysis methods within the systems biology toolbox are serving to improve our understanding and ability to manipulate metabolism. In this minireview the potential of MFA to increase the chances of success in metabolic engineering of plants is presented, recent progress related to engineering and flux analysis in central metabolism of plants is discussed, and some recent advances in flux analysis methodology are highlighted.
代谢通量分析（MFA）方法有助于深入了解代谢网络的理论能力，并能探究细胞代谢的体内性能。近年来，人们越来越意识到系统生物学工具箱中的网络分析方法有助于增进我们对代谢的理解以及操控代谢的能力。在这篇微型综述中，介绍了MFA在提高植物代谢工程成功率方面的潜力，讨论了植物中心代谢工程和通量分析的相关最新进展，并突出了通量分析方法的一些最新进展。
