Metabolic network flux analysis for engineering plant systems.
Metabolic network flux analysis for engineering plant systems.
复制标题
工程植物系统的代谢网络通量分析。
DOI：
10.1016/j.copbio.2013.01.004
复制
发表时间：
2013
影响因子：
7.7
通讯作者：
Y. Shachar
中科院分区：
文献类型：
--
作者：
Y. Shachar
代谢网络通量分析（NFA）工具已被证明是微生物代谢工程的有力助手，通过提供对细胞系统中物质和能量流动的定量见解。近年来，NFA工具在工厂系统中的开发和应用取得了进展，并产生了重要的见解和可测试的预测。植物为NFA的实际应用提供了大量的机会，但它们也带来了与植物代谢网络的复杂性以及我们对其结构和调控的知识不足有关的严重挑战。通过考虑可用的工具和选定的例子，本文试图评估NFA最有可能对植物生物技术产生真实的影响的地方和方式。
Metabolic network flux analysis (NFA) tools have proven themselves to be powerful aids to metabolic engineering of microbes by providing quantitative insights into the flows of material and energy through cellular systems. The development and application of NFA tools to plant systems has advanced in recent years and are yielding significant insights and testable predictions. Plants present substantial opportunities for the practical application of NFA but they also pose serious challenges related to the complexity of plant metabolic networks and to deficiencies in our knowledge of their structure and regulation. By considering the tools available and selected examples, this article attempts to assess where and how NFA is most likely to have a real impact on plant biotechnology.
影响因子：
8.4
作者：
Young, Jamey D.;Shastri, Avantika A.;Stephanopoulos, Gregory;Morgan, John A.
通讯作者：
Morgan, John A.