期刊
TRAC-TRENDS IN ANALYTICAL CHEMISTRY
卷 78, 期 -, 页码 23-35出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.trac.2015.09.005
关键词
Metabolomics; Databases; Mass spectrometry; Liquid chromatography; Gas chromatography; Identification; Mass spectral databases
资金
- Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders (CIBERDEM), an initiative of Instituto de Investigacion Carlos III (ISCIII)
- Spanish Ministry of Economy and Competitiveness [SAF2011-30578]
- MINECO fellowship [SAF2011-30578, BES-2012-052585]
- SOLUTIONS project
- European Union [603437]
At present, mass spectrometry (MS)-based metabolomics has been widely used to obtain new insights into human, plant, and microbial biochemistry; drug and biomarker discovery; nutrition research; and food control. Despite the high research interest, identifying and characterizing the structure of metabolites has become a major drawback for converting raw MS data into biological knowledge. Comprehensive and well-annotated MS-based spectral databases play a key role in serving this purpose via the formation of metabolite annotations. The main characteristics of the mass spectral databases currently used in MS-based metabolomics are reviewed in this study, underlining their advantages and limitations. In addition, the overlap of compounds with MSn (n >= 2) spectra from authentic chemical standards in most public and commercial databases has been calculated for the first time. Finally, future prospects of mass spectral databases are discussed in terms of the needs posed by novel applications and instrumental advancements. (C) 2016 Elsevier B.V. All rights reserved.
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