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哺乳动物细胞系代谢组学研究的实验设计与报告标准

Experimental design and reporting standards for metabolomics studies of mammalian cell lines.

作者信息

Hayton Sarah, Maker Garth L, Mullaney Ian, Trengove Robert D

机构信息

Separation Sciences and Metabolomics Laboratories, Murdoch University, Perth, WA, Australia.

School of Veterinary and Life Sciences, Murdoch University, 90 South St, Murdoch, WA, 6150, Australia.

出版信息

Cell Mol Life Sci. 2017 Dec;74(24):4421-4441. doi: 10.1007/s00018-017-2582-1. Epub 2017 Jul 1.

Abstract

Metabolomics is an analytical technique that investigates the small biochemical molecules present within a biological sample isolated from a plant, animal, or cultured cells. It can be an extremely powerful tool in elucidating the specific metabolic changes within a biological system in response to an environmental challenge such as disease, infection, drugs, or toxins. A historically difficult step in the metabolomics pipeline is in data interpretation to a meaningful biological context, for such high-variability biological samples and in untargeted metabolomics studies that are hypothesis-generating by design. One way to achieve stronger biological context of metabolomic data is via the use of cultured cell models, particularly for mammalian biological systems. The benefits of in vitro metabolomics include a much greater control of external variables and no ethical concerns. The current concerns are with inconsistencies in experimental procedures and level of reporting standards between different studies. This review discusses some of these discrepancies between recent studies, such as metabolite extraction and data normalisation. The aim of this review is to highlight the importance of a standardised experimental approach to any cultured cell metabolomics study and suggests an example procedure fully inclusive of information that should be disclosed in regard to the cell type/s used and their culture conditions. Metabolomics of cultured cells has the potential to uncover previously unknown information about cell biology, functions and response mechanisms, and so the accurate biological interpretation of the data produced and its ability to be compared to other studies should be considered vitally important.

摘要

代谢组学是一种分析技术,用于研究从植物、动物或培养细胞中分离出的生物样品中存在的小分子生物化学物质。它在阐明生物系统内针对诸如疾病、感染、药物或毒素等环境挑战所发生的特定代谢变化方面,可能是一种极其强大的工具。在代谢组学流程中,一个长期以来颇具难度的步骤是将数据解读为有意义的生物学背景,这是针对此类高变异性生物样品以及在设计上用于产生假设的非靶向代谢组学研究而言的。实现代谢组学数据更强生物学背景的一种方法是通过使用培养细胞模型,特别是针对哺乳动物生物系统。体外代谢组学的优势包括对外部变量的更大控制以及不存在伦理问题。当前存在的问题是不同研究之间实验程序和报告标准水平不一致。本综述讨论了近期研究之间的一些差异,例如代谢物提取和数据归一化。本综述的目的是强调标准化实验方法对于任何培养细胞代谢组学研究的重要性,并提出一个示例程序,该程序全面涵盖了关于所使用的细胞类型及其培养条件应披露的信息。培养细胞的代谢组学有潜力揭示有关细胞生物学、功能和反应机制的先前未知信息,因此所产生数据的准确生物学解读及其与其他研究进行比较的能力应被视为至关重要。

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