Literature DB >> 18323818

High-throughput, nontargeted metabolite fingerprinting using nominal mass flow injection electrospray mass spectrometry.

Manfred Beckmann1, David Parker, David P Enot, Emilie Duval, John Draper.   

Abstract

Flow injection electrospray-mass spectrometry (FIE-MS) is finding utility as a first-pass metabolite fingerprinting tool in many research fields. We provide a protocol that has proved reliable in large-scale research projects involving diverse sample matrices originating from plants, microbes and mammalian biofluids. Using Brachypodium leaf material as an example matrix all steps are summarized from sample extraction to data quality assessment. Alternative procedures for dealing with other common matrices such as bloods and urine are included. With little sample pretreatment, no chromatography and instrument cycle times of <5 min it is feasible to analyze >1,000 samples per week. Analysis of a typical batch of 240 samples (including first-pass data analysis) can be accomplished within 48 h.

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Year:  2008        PMID: 18323818     DOI: 10.1038/nprot.2007.500

Source DB:  PubMed          Journal:  Nat Protoc        ISSN: 1750-2799            Impact factor:   13.491


  27 in total

1.  Using fragmentation trees and mass spectral trees for identifying unknown compounds in metabolomics.

Authors:  Arpana Vaniya; Oliver Fiehn
Journal:  Trends Analyt Chem       Date:  2015-06-01       Impact factor: 12.296

2.  A complete workflow for high-resolution spectral-stitching nanoelectrospray direct-infusion mass-spectrometry-based metabolomics and lipidomics.

Authors:  Andrew D Southam; Ralf J M Weber; Jasper Engel; Martin R Jones; Mark R Viant
Journal:  Nat Protoc       Date:  2017-01-12       Impact factor: 13.491

3.  Enhancement of plant metabolite fingerprinting by machine learning.

Authors:  Ian M Scott; Cornelia P Vermeer; Maria Liakata; Delia I Corol; Jane L Ward; Wanchang Lin; Helen E Johnson; Lynne Whitehead; Baldeep Kular; John M Baker; Sean Walsh; Anuja Dave; Tony R Larson; Ian A Graham; Trevor L Wang; Ross D King; John Draper; Michael H Beale
Journal:  Plant Physiol       Date:  2010-06-21       Impact factor: 8.340

4.  Mass Fingerprints of Tomatoes Fertilized with Different Nitrogen Sources Reveal Potential Biomarkers of Organic Farming.

Authors:  Adrián García-Casarrubias; Robert Winkler; Axel Tiessen
Journal:  Plant Foods Hum Nutr       Date:  2019-06       Impact factor: 3.921

5.  Structural characterization of Brachypodium genome and its syntenic relationship with rice and wheat.

Authors:  Naxin Huo; John P Vogel; Gerard R Lazo; Frank M You; Yaqin Ma; Stephanie McMahon; Jan Dvorak; Olin D Anderson; Ming-Cheng Luo; Yong Q Gu
Journal:  Plant Mol Biol       Date:  2009-01-29       Impact factor: 4.076

6.  "Lossless" compression of high resolution mass spectra of small molecules.

Authors:  Bo Blanckenburg; Yuri E M van der Burgt; André M Deelder; Magnus Palmblad
Journal:  Metabolomics       Date:  2010-03-07       Impact factor: 4.290

7.  Measurement of dietary exposure: a challenging problem which may be overcome thanks to metabolomics?

Authors:  Gaëlle Favé; M E Beckmann; J H Draper; J C Mathers
Journal:  Genes Nutr       Date:  2009-04-02       Impact factor: 5.523

8.  MetaboLyzer: a novel statistical workflow for analyzing Postprocessed LC-MS metabolomics data.

Authors:  Tytus D Mak; Evagelia C Laiakis; Maryam Goudarzi; Albert J Fornace
Journal:  Anal Chem       Date:  2013-11-22       Impact factor: 6.986

9.  Metabolite signal identification in accurate mass metabolomics data with MZedDB, an interactive m/z annotation tool utilising predicted ionisation behaviour 'rules'.

Authors:  John Draper; David P Enot; David Parker; Manfred Beckmann; Stuart Snowdon; Wanchang Lin; Hassan Zubair
Journal:  BMC Bioinformatics       Date:  2009-07-21       Impact factor: 3.169

10.  Ultrahigh-Resolution Mass Spectrometry-Based Platform for Plasma Metabolomics Applied to Type 2 Diabetes Research.

Authors:  Yanlong Zhu; Benjamin Wancewicz; Michael Schaid; Timothy N Tiambeng; Kent Wenger; Yutong Jin; Heino Heyman; Christopher J Thompson; Aiko Barsch; Elizabeth D Cox; Dawn B Davis; Allan R Brasier; Michelle E Kimple; Ying Ge
Journal:  J Proteome Res       Date:  2020-10-15       Impact factor: 4.466

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