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瓦伯格效应与基于质谱的蛋白质组学分析

The Warburg Effect and Mass Spectrometry-based Proteomic Analysis.

作者信息

Zhou Weidong, Liotta Lance A, Petricoin Emanuel F

机构信息

Center for Applied Proteomics and Molecular Medicine, George Mason University, Manassas, VA, U.S.A.

出版信息

Cancer Genomics Proteomics. 2017 Jul-Aug;14(4):211-218. doi: 10.21873/cgp.20032.

Abstract

Compared to normal cells, cancer cells have a unique metabolism by performing lactic acid fermentation in the presence of oxygen, also known as the Warburg effect. Researchers have proposed several hypotheses to elucidate the phenomenon, but the mechanism is still an enigma. In this review, we discuss three typical models, such as "damaged mitochondria", "adaptation to hypoxia", and "cell proliferation requirement", as well as contributions from mass spectrometry analysis toward our understanding of the Warburg effect. Mass spectrometry analysis supports the "adaptation to hypoxia" model that cancer cells are using quasi-anaerobic fermentation to reduce oxygen consumption in vivo. We further propose that hypoxia is an early event and it plays a crucial role in carcinoma initiation and development.

摘要

与正常细胞相比,癌细胞具有独特的代谢方式,即在有氧情况下进行乳酸发酵,这也被称为瓦伯格效应。研究人员提出了几种假说来解释这一现象,但该机制仍是一个谜。在本综述中,我们讨论了三种典型模型,如“线粒体损伤”“缺氧适应”和“细胞增殖需求”,以及质谱分析对我们理解瓦伯格效应的贡献。质谱分析支持“缺氧适应”模型,即癌细胞利用准厌氧发酵来减少体内的氧气消耗。我们进一步提出,缺氧是一个早期事件,它在癌症的发生和发展中起着关键作用。

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