Department of Chemical and Biomolecular Engineering, Metabolic Engineering and Systems Biology Laboratory, University of Delaware, Newark, DE, 19716, USA.
Exp Mol Med. 2018 Apr 16;50(4):1-13. doi: 10.1038/s12276-018-0060-y.
Cancer metabolism is significantly altered from normal cellular metabolism allowing cancer cells to adapt to changing microenvironments and maintain high rates of proliferation. In the past decade, stable-isotope tracing and network analysis have become powerful tools for uncovering metabolic pathways that are differentially activated in cancer cells. In particular, C metabolic flux analysis (C-MFA) has emerged as the primary technique for quantifying intracellular fluxes in cancer cells. In this review, we provide a practical guide for investigators interested in getting started with C-MFA. We describe best practices in C-MFA, highlight potential pitfalls and alternative approaches, and conclude with new developments that can further enhance our understanding of cancer metabolism.
肿瘤代谢与正常细胞代谢显著不同,使肿瘤细胞能够适应不断变化的微环境并保持高速增殖。在过去的十年中,稳定同位素示踪和网络分析已成为揭示肿瘤细胞中差异激活的代谢途径的有力工具。特别是,C 代谢通量分析(C-MFA)已成为定量癌细胞内通量的主要技术。在这篇综述中,我们为有兴趣开始 C-MFA 的研究人员提供了实用指南。我们描述了 C-MFA 的最佳实践,强调了潜在的陷阱和替代方法,并以可以进一步增强我们对癌症代谢理解的新发展作为结束。