Mass spectrometry-based metabolomics: a guide for annotation, quantification and best reporting practices.
Saleh AlseekhAsaph AharoniYariv BrotmanKevin ContrepoisJohn Charles D'AuriaJan EwaldJennifer C EwaldPaul D FraserPatrick GiavaliscoRobert D HallMatthias HeinemannHannes LinkJie LuoSteffen NeumannJens B NielsenLeonardo Perez de SouzaTakashi HashimotoUwe SauerFrank C SchroederStefan SchusterGary E SiuzdakAleksandra SkiryczLloyd W SumnerMichael Paul SnyderHuiru TangTakayuki TohgeYulan WangWeiwei WenSi WuGuo-Wang XuNicola ZamboniAlisdair Robert FerniePublished in: Nature methods (2021)
Mass spectrometry-based metabolomics approaches can enable detection and quantification of many thousands of metabolite features simultaneously. However, compound identification and reliable quantification are greatly complicated owing to the chemical complexity and dynamic range of the metabolome. Simultaneous quantification of many metabolites within complex mixtures can additionally be complicated by ion suppression, fragmentation and the presence of isomers. Here we present guidelines covering sample preparation, replication and randomization, quantification, recovery and recombination, ion suppression and peak misidentification, as a means to enable high-quality reporting of liquid chromatography- and gas chromatography-mass spectrometry-based metabolomics-derived data.
Keyphrases
- mass spectrometry
- liquid chromatography
- gas chromatography
- gas chromatography mass spectrometry
- high resolution mass spectrometry
- high performance liquid chromatography
- capillary electrophoresis
- high resolution
- tandem mass spectrometry
- healthcare
- primary care
- solid phase extraction
- emergency department
- dna damage
- adverse drug
- ms ms
- ionic liquid
- electronic health record
- clinical practice
- artificial intelligence
- single cell
- machine learning
- big data
- data analysis
- sensitive detection