Literature DB >> 18672410

Mass spectrometry for the identification of the discriminating signals from metabolomics: current status and future trends.

Erwan Werner1, Jean-François Heilier, Céline Ducruix, Eric Ezan, Christophe Junot, Jean-Claude Tabet.   

Abstract

The metabolome is characterized by a large number of molecules exhibiting a high diversity of chemical structures and abundances, requiring complementary analytical platforms to reach its extensive coverage. Among them, atmospheric pressure ionization mass spectrometry (API-MS)-based technologies, and especially those using electrospray ionization are now very popular. In this context, this review deals with strengths, limitations and future trends in the identification of signals highlighted by API-MS-based metabolomics. It covers the identification process from the determination of the molecular mass and/or its elemental composition to the confirmation of structural hypotheses. Furthermore, some tools that were developed in order to address the MS signal redundancy and some approaches that could facilitate identification by improving the visualization and organization of complex data sets are also reported and discussed.

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Year:  2008        PMID: 18672410     DOI: 10.1016/j.jchromb.2008.07.004

Source DB:  PubMed          Journal:  J Chromatogr B Analyt Technol Biomed Life Sci        ISSN: 1570-0232            Impact factor:   3.205


  30 in total

1.  Metabolism profile of quinocetone in swine by ultra-performance liquid chromatography quadrupole time-of-flight mass spectrometry.

Authors:  Haixia Wu; Chunyan Yang; Zhanhui Wang; Jianzhong Shen; Suxia Zhang; Peisheng Feng; Linxia Li; Linli Cheng
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2011-09-20       Impact factor: 2.441

2.  Toward genome-wide metabolotyping and elucidation of metabolic system: metabolic profiling of large-scale bioresources.

Authors:  Masami Yokota Hirai; Yuji Sawada; Shigehiko Kanaya; Takashi Kuromori; Masatomo Kobayashi; Romy Klausnitzer; Kosuke Hanada; Kenji Akiyama; Tetsuya Sakurai; Kazuki Saito; Kazuo Shinozaki
Journal:  J Plant Res       Date:  2010-04-06       Impact factor: 2.629

Review 3.  New tools and new biology: recent miniaturized systems for molecular and cellular biology.

Authors:  Morgan Hamon; Jong Wook Hong
Journal:  Mol Cells       Date:  2013-12-02       Impact factor: 5.034

Review 4.  Genomics and bioinformatics resources for crop improvement.

Authors:  Keiichi Mochida; Kazuo Shinozaki
Journal:  Plant Cell Physiol       Date:  2010-03-05       Impact factor: 4.927

5.  High-energy collision-induced dissociation by MALDI TOF/TOF causes charge-remote fragmentation of steroid sulfates.

Authors:  Yuetian Yan; Masaaki Ubukata; Robert B Cody; Timothy E Holy; Michael L Gross
Journal:  J Am Soc Mass Spectrom       Date:  2014-04-30       Impact factor: 3.109

6.  Plasma metabolic profile delineates roles for neurodegeneration, pro-inflammatory damage and mitochondrial dysfunction in the FMR1 premutation.

Authors:  Cecilia Giulivi; Eleonora Napoli; Flora Tassone; Julian Halmai; Randi Hagerman
Journal:  Biochem J       Date:  2016-08-23       Impact factor: 3.857

Review 7.  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

8.  Organization of GC/MS and LC/MS metabolomics data into chemical libraries.

Authors:  Corey D Dehaven; Anne M Evans; Hongping Dai; Kay A Lawton
Journal:  J Cheminform       Date:  2010-10-18       Impact factor: 5.514

9.  Assessment of metabolome annotation quality: a method for evaluating the false discovery rate of elemental composition searches.

Authors:  Fumio Matsuda; Yoko Shinbo; Akira Oikawa; Masami Yokota Hirai; Oliver Fiehn; Shigehiko Kanaya; Kazuki Saito
Journal:  PLoS One       Date:  2009-10-16       Impact factor: 3.240

10.  Widely targeted metabolomics based on large-scale MS/MS data for elucidating metabolite accumulation patterns in plants.

Authors:  Yuji Sawada; Kenji Akiyama; Akane Sakata; Ayuko Kuwahara; Hitomi Otsuki; Tetsuya Sakurai; Kazuki Saito; Masami Yokota Hirai
Journal:  Plant Cell Physiol       Date:  2008-12-02       Impact factor: 4.927

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