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Metabolite identification and quantitation in LC-MS/MS-based metabolomics.
Xiao, Jun Feng; Zhou, Bin; Ressom, Habtom W.
Afiliación
  • Xiao JF; Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University, 4000 Reservoir Rd., NW, Washington DC, 20057.
Trends Analyt Chem ; 32: 1-14, 2012 Feb 01.
Article en En | MEDLINE | ID: mdl-22345829
Metabolomics aims at detection and quantitation of all metabolites in biological samples. The presence of metabolites with a wide variety of physicochemical properties and different levels of abundance challenges existing analytical platforms used for identification and quantitation of metabolites. Significant efforts have been made to improve analytical and computational methods for metabolomics studies.This review focuses on the use of liquid chromatography with tandem mass spectrometry (LC-MS/MS) for quantitative and qualitative metabolomics studies. It illustrates recent developments in computational methods for metabolite identification, including ion annotation, spectral interpretation and spectral matching. We also review selected reaction monitoring and high-resolution MS for metabolite quantitation. We discuss current challenges in metabolite identification and quantitation as well as potential solutions.

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Qualitative_research Idioma: En Revista: Trends Analyt Chem Año: 2012 Tipo del documento: Article Pais de publicación: Países Bajos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Qualitative_research Idioma: En Revista: Trends Analyt Chem Año: 2012 Tipo del documento: Article Pais de publicación: Países Bajos