Literature DB >> 16206229

The expanding role of mass spectrometry in metabolite profiling and characterization.

Elizabeth J Want1, Benjamin F Cravatt, Gary Siuzdak.   

Abstract

Mass spectrometry has a strong history in drug-metabolite analysis and has recently emerged as the foremost technology in endogenous metabolite research. The advantages of mass spectrometry include a wide dynamic range, the ability to observe a diverse number of molecular species, and reproducible quantitative analysis. These attributes are important in addressing the issue of metabolite profiling, as the dynamic range easily exceeds nine orders of magnitude in biofluids, and the diversity of species ranges from simple amino acids to lipids to complex carbohydrates. The goals of the application of mass spectrometry range from basic biochemistry to clinical biomarker discovery with challenges in generating a comprehensive profile, data analysis, and structurally characterizing physiologically important metabolites. The precedent for this work has already been set in neonatal screening, as blood samples from millions of neonates are tested routinely by mass spectrometry as a diagnostic tool for inborn errors of metabolism. In this review, we will discuss the background from which contemporary metabolite research emerged, the techniques involved in this exciting area, and the current and future applications of this field.

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Year:  2005        PMID: 16206229     DOI: 10.1002/cbic.200500151

Source DB:  PubMed          Journal:  Chembiochem        ISSN: 1439-4227            Impact factor:   3.164


  75 in total

1.  The interface between biomarker discovery and clinical validation: The tar pit of the protein biomarker pipeline.

Authors:  Amanda G Paulovich; Jeffrey R Whiteaker; Andrew N Hoofnagle; Pei Wang
Journal:  Proteomics Clin Appl       Date:  2008-10-01       Impact factor: 3.494

2.  PyMS: a Python toolkit for processing of gas chromatography-mass spectrometry (GC-MS) data. Application and comparative study of selected tools.

Authors:  Sean O'Callaghan; David P De Souza; Andrew Isaac; Qiao Wang; Luke Hodkinson; Moshe Olshansky; Tim Erwin; Bill Appelbe; Dedreia L Tull; Ute Roessner; Antony Bacic; Malcolm J McConville; Vladimir A Likić
Journal:  BMC Bioinformatics       Date:  2012-05-30       Impact factor: 3.169

3.  Rapid and High-Throughput Detection and Quantitation of Radiation Biomarkers in Human and Nonhuman Primates by Differential Mobility Spectrometry-Mass Spectrometry.

Authors:  Zhidan Chen; Stephen L Coy; Evan L Pannkuk; Evagelia C Laiakis; Adam B Hall; Albert J Fornace; Paul Vouros
Journal:  J Am Soc Mass Spectrom       Date:  2016-07-08       Impact factor: 3.109

4.  Nonlinear data alignment for UPLC-MS and HPLC-MS based metabolomics: quantitative analysis of endogenous and exogenous metabolites in human serum.

Authors:  Anders Nordström; Grace O'Maille; Chuan Qin; Gary Siuzdak
Journal:  Anal Chem       Date:  2006-05-15       Impact factor: 6.986

5.  Antibody-based enrichment of peptides on magnetic beads for mass-spectrometry-based quantification of serum biomarkers.

Authors:  Jeffrey R Whiteaker; Lei Zhao; Heidi Y Zhang; Li-Chia Feng; Brian D Piening; Leigh Anderson; Amanda G Paulovich
Journal:  Anal Biochem       Date:  2006-12-20       Impact factor: 3.365

6.  iTRAQ reagent-based quantitative proteomic analysis on a linear ion trap mass spectrometer.

Authors:  Timothy J Griffin; Hongwei Xie; Sricharan Bandhakavi; Jonathan Popko; Archana Mohan; John V Carlis; LeeAnn Higgins
Journal:  J Proteome Res       Date:  2007-09-29       Impact factor: 4.466

7.  Host-parasite interactions revealed by Plasmodium falciparum metabolomics.

Authors:  Kellen L Olszewski; Joanne M Morrisey; Daniel Wilinski; James M Burns; Akhil B Vaidya; Joshua D Rabinowitz; Manuel Llinás
Journal:  Cell Host Microbe       Date:  2009-02-19       Impact factor: 21.023

Review 8.  Lipidomic analysis of endocannabinoid metabolism in biological samples.

Authors:  Giuseppe Astarita; Daniele Piomelli
Journal:  J Chromatogr B Analyt Technol Biomed Life Sci       Date:  2009-01-14       Impact factor: 3.205

Review 9.  Clinical potential of mass spectrometry-based proteogenomics.

Authors:  Bing Zhang; Jeffrey R Whiteaker; Andrew N Hoofnagle; Geoffrey S Baird; Karin D Rodland; Amanda G Paulovich
Journal:  Nat Rev Clin Oncol       Date:  2019-04       Impact factor: 66.675

Review 10.  Opening up the "Black Box": metabolic phenotyping and metabolome-wide association studies in epidemiology.

Authors:  Magda Bictash; Timothy M Ebbels; Queenie Chan; Ruey Leng Loo; Ivan K S Yap; Ian J Brown; Maria de Iorio; Martha L Daviglus; Elaine Holmes; Jeremiah Stamler; Jeremy K Nicholson; Paul Elliott
Journal:  J Clin Epidemiol       Date:  2010-01-08       Impact factor: 6.437

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