Literature DB >> 34060055

A Protocol for Untargeted Metabolomic Analysis: From Sample Preparation to Data Processing.

Amanda L Souza1, Gary J Patti2,3.   

Abstract

Untargeted metabolomics has rapidly become a profiling method of choice in many areas of research, including mitochondrial biology. Most commonly, untargeted metabolomics is performed with liquid chromatography/mass spectrometry because it enables measurement of a relatively wide range of physiochemically diverse molecules. Specifically, to assess energy pathways that are associated with mitochondrial metabolism, hydrophilic interaction liquid chromatography (HILIC) is often applied before analysis with a high-resolution accurate mass instrument. The workflow produces large, complex data files that are impractical to analyze manually. Here, we present a protocol to perform untargeted metabolomics on biofluids such as plasma, urine, and cerebral spinal fluid with a HILIC separation and an Orbitrap mass spectrometer. Our protocol describes each step of the analysis in detail, from preparation of solvents for chromatography to selecting parameters during data processing.

Entities:  

Keywords:  Accurate mass; Data-dependent acquisition; HILIC; High-resolution; Liquid chromatography; Mass spectrometry; Metabolites; Metabolomics; Profiling; Quality assurance; Quality control

Mesh:

Year:  2021        PMID: 34060055      PMCID: PMC9284939          DOI: 10.1007/978-1-0716-1266-8_27

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  28 in total

Review 1.  Separation strategies for untargeted metabolomics.

Authors:  Gary J Patti
Journal:  J Sep Sci       Date:  2011-10-04       Impact factor: 3.645

2.  Discriminating precursors of common fragments for large-scale metabolite profiling by triple quadrupole mass spectrometry.

Authors:  Igor Nikolskiy; Gary Siuzdak; Gary J Patti
Journal:  Bioinformatics       Date:  2015-02-16       Impact factor: 6.937

Review 3.  Metabolomics for Investigating Physiological and Pathophysiological Processes.

Authors:  David S Wishart
Journal:  Physiol Rev       Date:  2019-10-01       Impact factor: 37.312

Review 4.  Innovation: Metabolomics: the apogee of the omics trilogy.

Authors:  Gary J Patti; Oscar Yanes; Gary Siuzdak
Journal:  Nat Rev Mol Cell Biol       Date:  2012-03-22       Impact factor: 94.444

Review 5.  After the feature presentation: technologies bridging untargeted metabolomics and biology.

Authors:  Kevin Cho; Nathaniel G Mahieu; Stephen L Johnson; Gary J Patti
Journal:  Curr Opin Biotechnol       Date:  2014-05-06       Impact factor: 9.740

Review 6.  Identification of small molecules using accurate mass MS/MS search.

Authors:  Tobias Kind; Hiroshi Tsugawa; Tomas Cajka; Yan Ma; Zijuan Lai; Sajjan S Mehta; Gert Wohlgemuth; Dinesh Kumar Barupal; Megan R Showalter; Masanori Arita; Oliver Fiehn
Journal:  Mass Spectrom Rev       Date:  2017-04-24       Impact factor: 10.946

Review 7.  Systematic functional analysis of the yeast genome.

Authors:  S G Oliver; M K Winson; D B Kell; F Baganz
Journal:  Trends Biotechnol       Date:  1998-09       Impact factor: 19.536

Review 8.  A roadmap for the XCMS family of software solutions in metabolomics.

Authors:  Nathaniel G Mahieu; Jessica Lloyd Genenbacher; Gary J Patti
Journal:  Curr Opin Chem Biol       Date:  2015-12-11       Impact factor: 8.822

Review 9.  Paving the Way to Precision Nutrition Through Metabolomics.

Authors:  Abdellah Tebani; Soumeya Bekri
Journal:  Front Nutr       Date:  2019-04-09

Review 10.  Measuring the metabolome: current analytical technologies.

Authors:  Warwick B Dunn; Nigel J C Bailey; Helen E Johnson
Journal:  Analyst       Date:  2005-03-04       Impact factor: 4.616

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