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代谢组学与代谢谱分析中的质量保证

Quality Assurance in Metabolomics and Metabolic Profiling.

作者信息

Kirwan Jennifer A, Bruning Ulrike, Mosley Jonathan D

机构信息

Metabolomics, Berlin Institute of Health at Charité Universitatsmedizin, Berlin, Germany.

Center for Environmental Measurement and Modeling, Environmental Protection Agency, Athens, GA, USA.

出版信息

Methods Mol Biol. 2025;2891:15-51. doi: 10.1007/978-1-0716-4334-1_2.

Abstract

Metabolic profiling (untargeted metabolomics) aims for a global unbiased analysis of metabolites in a cell or biological system. It remains a highly useful research tool used across various analytical platforms. Incremental improvements across multiple steps in the analytical process may have large consequences for the end quality of the data. Thus, this chapter concentrates on which aspects of quality assurance can be implemented by a lab in the (pre-)analytical stages of the analysis to improve the overall end quality of their data. The scope of this chapter is limited to liquid-chromatography-mass spectrometry (LC-MS)-based profiling, which is one of the most widely utilized platforms, although the general principles are applicable to all metabolomics experiments.

摘要

代谢谱分析(非靶向代谢组学)旨在对细胞或生物系统中的代谢物进行全面、无偏倚的分析。它仍然是一种在各种分析平台上广泛使用的非常有用的研究工具。分析过程中多个步骤的逐步改进可能会对数据的最终质量产生重大影响。因此,本章重点关注实验室在分析的(预)分析阶段可以实施哪些质量保证方面的措施,以提高其数据的整体最终质量。本章的范围仅限于基于液相色谱 - 质谱联用(LC-MS)的谱分析,这是应用最广泛的平台之一,尽管一般原则适用于所有代谢组学实验。

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