Department of Pharmacology and Cancer Biology, Duke University School of Medicine, Durham, NC 27710, USA.
Department of Pharmacology and Cancer Biology, Duke University School of Medicine, Durham, NC 27710, USA.
Metab Eng. 2017 Sep;43(Pt B):94-102. doi: 10.1016/j.ymben.2016.09.005. Epub 2016 Sep 22.
Quantitative and qualitative knowledge of metabolic rates (i.e. fluxes) over a metabolic network and in specific cellular compartments gives insights into the regulation of metabolism and helps to understand the contribution of metabolic alterations to pathology. In this review we introduce methodology to resolve metabolic fluxes from stable isotope labeling and relevant techniques in model development, model simplification, flux uncertainty analysis and experimental design that together is termed metabolic flux analysis. Finally we discuss applications using metabolic flux analysis to elucidate mechanisms pertinent to tumor cell metabolism. We hope that this review gives the readers a brief introduction of how flux analysis is conducted, how technical issues related to it are addressed, and how its application has contributed to our knowledge of tumor cell metabolism.
定量和定性了解代谢网络和特定细胞区室中的代谢速率（即通量）可以深入了解代谢的调节，并有助于了解代谢改变对病理学的贡献。在这篇综述中，我们介绍了从稳定同位素标记中解析代谢通量的方法，以及在模型开发、模型简化、通量不确定性分析和实验设计中相关的技术，这些技术统称为代谢通量分析。最后，我们讨论了使用代谢通量分析来阐明与肿瘤细胞代谢相关的机制的应用。我们希望这篇综述能让读者简要了解通量分析是如何进行的，如何解决与之相关的技术问题，以及它的应用如何促进我们对肿瘤细胞代谢的认识。
