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基于质谱的代谢组学:工作流程、策略、数据分析及应用概述

Mass-spectrometry based metabolomics: an overview of workflows, strategies, data analysis and applications.

作者信息

Hajnajafi Kosar, Iqbal Mohammad Askandar

机构信息

Thumbay Research Institute for Precision Medicine, Gulf Medical University, Ajman, United Arab Emirates.

College of Medicine, Gulf Medical University, Ajman, United Arab Emirates.

出版信息

Proteome Sci. 2025 May 26;23(1):5. doi: 10.1186/s12953-025-00241-8.

DOI:10.1186/s12953-025-00241-8
PMID:40420110
Abstract

BACKGROUND

Metabolomics, a burgeoning field within systems biology, focuses on the comprehensive study of small molecules present in biological systems. Mass spectrometry (MS) has emerged as a powerful tool for metabolomic analysis due to its high sensitivity, resolution, and ability to characterize a wide range of metabolites thus offering deep insights into the metabolic profiles of living systems.

AIM OF REVIEW

This review provides an overview of the methodologies, workflows, strategies, data analysis techniques, and applications associated with mass spectrometry-based metabolomics.

KEY SCIENTIFIC CONCEPTS OF REVIEW

We discuss workflows, key strategies, experimental procedures, data analysis techniques, and diverse applications of metabolomics in various research domains. Nuances of sample preparation, metabolite extraction, separation using chromatographic techniques, mass spectrometry analysis, and data processing are elaborated. Moreover, standards, quality controls, metabolite annotation, software for statistical and pathway analysis are also covered. In conclusion, this review aims to facilitate the understanding and adoption of mass spectrometry-based metabolomics by newcomers and researchers alike by providing a foundational understanding and insights into the current state and future directions of this dynamic field.

摘要

背景

代谢组学是系统生物学中一个新兴的领域,专注于对生物系统中存在的小分子进行全面研究。由于质谱(MS)具有高灵敏度、高分辨率以及能够对广泛的代谢物进行表征的能力,从而能够深入洞察生命系统的代谢谱,因此它已成为代谢组学分析的强大工具。

综述目的

本综述概述了基于质谱的代谢组学的方法、工作流程、策略、数据分析技术及应用。

综述的关键科学概念

我们讨论了工作流程、关键策略、实验步骤、数据分析技术以及代谢组学在各个研究领域的不同应用。详细阐述了样品制备、代谢物提取、色谱技术分离、质谱分析和数据处理的细微差别。此外,还涵盖了标准、质量控制、代谢物注释以及用于统计和通路分析的软件。总之,本综述旨在通过为新手和研究人员提供对这一动态领域的现状和未来方向的基本理解和见解,来促进他们对基于质谱的代谢组学的理解和应用。

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