Maria Sklodowska-Curie Institute-Oncology Center, Gliwice Branch, 44-100 Gliwice, Poland.
Institute of Bioorganic Chemistry, Polish Academy of Sciences, 44-100 Poznan, Poland.
Int J Mol Sci. 2019 Jul 14;20(14):3461. doi: 10.3390/ijms20143461.
Exosomes and other classes of extracellular vesicles (EVs) have gained interest due to their role in cell-to-cell communication. Knowledge of the molecular content of EVs may provide important information on features of parental cells and mechanisms of cross-talk between cells. To study functions of EVs it is essential to know their composition, that includes proteins, nucleic acids, and other classes biomolecules. The metabolome, set of molecules the most directly related to the cell phenotype, is the least researched component of EVs. However, the metabolome of EVs circulating in human blood and other bio-fluids is of particular interest because of its potential diagnostic value in cancer and other health conditions. On the other hand, the metabolome of EVs released to culture media in controlled conditions in vitro could shed light on important aspects of communication between cells in model systems. This paper summarizes the most common approaches implemented in EV metabolomics and integrates currently available data on the composition of the metabolome of EVs obtained in different models with particular focus on human body fluids and cancer cells.
外泌体和其他细胞外囊泡 (EV) 类别因其在细胞间通讯中的作用而受到关注。EV 的分子内容知识可能提供有关亲本细胞特征和细胞间串扰机制的重要信息。为了研究 EV 的功能,必须了解其组成,包括蛋白质、核酸和其他类生物分子。代谢组是与细胞表型最直接相关的分子集合,是 EV 中研究最少的组成部分。然而,由于其在癌症和其他健康状况下具有潜在的诊断价值,因此在人类血液和其他生物体液中循环的 EV 的代谢组特别有趣。另一方面,在体外控制条件下释放到培养基中的 EV 的代谢组可以揭示模型系统中细胞间重要通讯方面。本文总结了 EV 代谢组学中实施的最常见方法,并整合了目前在不同模型中获得的关于 EV 代谢组组成的可用数据,特别关注人体体液和癌细胞。