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基于质谱的代谢组学在代谢物研究中的进展。

Advances in mass spectrometry-based metabolomics for investigation of metabolites.

作者信息

Ren Jun-Ling, Zhang Ai-Hua, Kong Ling, Wang Xi-Jun

机构信息

Sino-America Chinmedomics Technology Collaboration Center, National TCM Key Laboratory of Serum Pharmacochemistry, Chinmedomics Research Center of State Administration of TCM, Laboratory of Metabolomics, Department of Pharmaceutical Analysis, Heilongjiang University of Chinese Medicine Heping Road 24 Harbin China

State Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science and Technology Avenida Wai Long Taipa Macau.

出版信息

RSC Adv. 2018 Jun 19;8(40):22335-22350. doi: 10.1039/c8ra01574k.

DOI:10.1039/c8ra01574k
PMID:35539746
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9081429/
Abstract

Metabolomics is the systematic study of all the metabolites present within a biological system, which consists of a mass of molecules, having a variety of physical and chemical properties and existing over an extensive dynamic range in biological samples. Diverse analytical techniques are needed to achieve higher coverage of metabolites. The application of mass spectrometry (MS) in metabolomics has increased exponentially since the discovery and development of electrospray ionization and matrix-assisted laser desorption ionization techniques. Significant advances have also occurred in separation-based MS techniques (gas chromatography-mass spectrometry, liquid chromatography-mass spectrometry, capillary electrophoresis-mass spectrometry, and ion mobility-mass spectrometry), as well as separation-free MS techniques (direct infusion-mass spectrometry, matrix-assisted laser desorption ionization-mass spectrometry, mass spectrometry imaging, and direct analysis in real time mass spectrometry) in the past decades. This review presents a brief overview of the recent advanced MS techniques and their latest applications in metabolomics. The software/websites for MS result analyses are also reviewed.

摘要

代谢组学是对生物系统中所有代谢物进行的系统研究，该系统由大量分子组成，这些分子具有各种物理和化学性质，并且在生物样品中存在于广泛的动态范围内。需要多种分析技术来实现对代谢物的更高覆盖率。自电喷雾电离和基质辅助激光解吸电离技术发现和发展以来，质谱（MS）在代谢组学中的应用呈指数级增长。在过去几十年中，基于分离的质谱技术（气相色谱-质谱、液相色谱-质谱、毛细管电泳-质谱和离子淌度-质谱）以及无需分离的质谱技术（直接进样-质谱、基质辅助激光解吸电离-质谱、质谱成像和实时直接分析质谱）也取得了重大进展。本文综述了近期先进的质谱技术及其在代谢组学中的最新应用。还对用于质谱结果分析的软件/网站进行了综述。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ffc/9081429/d1eb6f09a2f9/c8ra01574k-f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ffc/9081429/0c094483117c/c8ra01574k-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ffc/9081429/d1eb6f09a2f9/c8ra01574k-f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ffc/9081429/0c094483117c/c8ra01574k-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ffc/9081429/d1eb6f09a2f9/c8ra01574k-f4.jpg

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