School of Pharmaceutical Science and Technology, Dalian University of Technology, Dalian, China.
Center of Functional Genomics and Proteomics, Creighton University Medical Center, Omaha, NE, USA.
Adv Exp Med Biol. 2021;1280:115-130. doi: 10.1007/978-3-030-51652-9_8.
Metabolic rewiring/reprogramming is an essential hallmark of cancer. Alteration of metabolic phenotypes is occurred in cancer cells in response to a harsh condition to support cancer cell proliferation, survival, and metastasis. Stable isotope can be used as a tracer to investigate the redistribution of the carbons labeled in glucose in order to elucidate the detailed mechanisms of cellular rewiring and reprogramming in tumor microenvironment. Stable isotope-resolved metabolomics (SIRM) is an analytical method inferring metabolic networking by using advanced nuclear magnetic resonance (NMR) spectroscopy and mass spectrometry (MS) to analyze the fate of a single atom from a stable isotope-enriched precursor to a product metabolite. This methodology has been demonstrated for a wide range of biological applications, including cancer metabolomic analysis. The basic principle and platforms of SIRM and its implication for cancer metabolism research will be addressed in this chapter.
代谢重编程是癌症的一个重要标志。癌细胞会发生代谢表型的改变,以应对恶劣的环境,从而支持癌细胞的增殖、存活和转移。稳定同位素可作为示踪剂,用于研究葡萄糖中标记碳的重新分布,以阐明肿瘤微环境中细胞重编程和重新编程的详细机制。稳定同位素解析代谢组学(SIRM)是一种分析方法,通过使用先进的核磁共振(NMR)光谱和质谱(MS)来推断代谢网络,分析从稳定同位素富集前体到产物代谢物的单个原子的命运。该方法已广泛应用于包括癌症代谢组学分析在内的多种生物学应用。本章将介绍 SIRM 的基本原理和平台及其在癌症代谢研究中的应用。