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基于示踪剂的癌症代谢组学分析。

Tracer-Based Cancer Metabolomic Analysis.

机构信息

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.

出版信息

Adv Exp Med Biol. 2021;1280:115-130. doi: 10.1007/978-3-030-51652-9_8.

Abstract

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.

摘要

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。

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