학술논문

MS-DIAL: data-independent MS/MS deconvolution for comprehensive metabolome analysis
Document Type
article
Source
Nature Methods. 12(6)
Subject
Neurological
Chlorophyta
Chromatography
Liquid
Gene Expression Regulation
Plant
Lipid Metabolism
Lipids
Metabolome
Software
Species Specificity
Tandem Mass Spectrometry
Biological Sciences
Technology
Medical and Health Sciences
Developmental Biology
Language
Abstract
Data-independent acquisition (DIA) in liquid chromatography (LC) coupled to tandem mass spectrometry (MS/MS) provides comprehensive untargeted acquisition of molecular data. We provide an open-source software pipeline, which we call MS-DIAL, for DIA-based identification and quantification of small molecules by mass spectral deconvolution. For a reversed-phase LC-MS/MS analysis of nine algal strains, MS-DIAL using an enriched LipidBlast library identified 1,023 lipid compounds, highlighting the chemotaxonomic relationships between the algal strains.