Literature DB >> 16905671

Clarification of pathway-specific inhibition by Fourier transform ion cyclotron resonance/mass spectrometry-based metabolic phenotyping studies.

Akira Oikawa1, Yukiko Nakamura, Tomonori Ogura, Atsuko Kimura, Hideyuki Suzuki, Nozomu Sakurai, Yoko Shinbo, Daisuke Shibata, Shigehiko Kanaya, Daisaku Ohta.   

Abstract

We have developed a metabolic profiling scheme based on direct-infusion Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR/MS). The scheme consists of: (1) reproducible data collection under optimized FT-ICR/MS analytical conditions; (2) automatic mass-error correction and multivariate analyses for metabolome characterization using a newly developed metabolomics tool (DMASS software); (3) identification of marker metabolite candidates by searching a species-metabolite relationship database, KNApSAcK; and (4) structural analyses by an MS/MS method. The scheme was applied to metabolic phenotyping of Arabidopsis (Arabidopsis thaliana) seedlings treated with different herbicidal chemical classes for pathway-specific inhibitions. Arabidopsis extracts were directly infused into an electrospray ionization source on an FT-ICR/MS system. Acquired metabolomics data were comprised of mass-to-charge ratio values with ion intensity information subjected to principal component analysis, and metabolic phenotypes from the herbicide treatments were clearly differentiated from those of the herbicide-free treatment. From each herbicide treatment, candidate metabolites representing such metabolic phenotypes were found through the KNApSAcK database search. The database search and MS/MS analyses suggested dose-dependent accumulation patterns of specific metabolites including several flavonoid glycosides. The metabolic phenotyping scheme on the basis of FT-ICR/MS coupled with the DMASS program is discussed as a general tool for high throughput metabolic phenotyping studies.

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Year:  2006        PMID: 16905671      PMCID: PMC1586045          DOI: 10.1104/pp.106.080317

Source DB:  PubMed          Journal:  Plant Physiol        ISSN: 0032-0889            Impact factor:   8.340


  37 in total

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Review 2.  Activation of large ions in FT-ICR mass spectrometry.

Authors:  Julia Laskin; Jean H Futrell
Journal:  Mass Spectrom Rev       Date:  2005 Mar-Apr       Impact factor: 10.946

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4.  Profiling of Arabidopsis secondary metabolites by capillary liquid chromatography coupled to electrospray ionization quadrupole time-of-flight mass spectrometry.

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Journal:  Plant Physiol       Date:  2004-02       Impact factor: 8.340

5.  Exploring the temperature-stress metabolome of Arabidopsis.

Authors:  Fatma Kaplan; Joachim Kopka; Dale W Haskell; Wei Zhao; K Cameron Schiller; Nicole Gatzke; Dong Yul Sung; Charles L Guy
Journal:  Plant Physiol       Date:  2004-11-19       Impact factor: 8.340

6.  Elucidation of gene-to-gene and metabolite-to-gene networks in arabidopsis by integration of metabolomics and transcriptomics.

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Journal:  J Biol Chem       Date:  2005-05-02       Impact factor: 5.157

7.  Metabolic profiling of saponins in Medicago sativa and Medicago truncatula using HPLC coupled to an electrospray ion-trap mass spectrometer.

Authors:  David V Huhman; Lloyd W Sumner
Journal:  Phytochemistry       Date:  2002-02       Impact factor: 4.072

8.  gurke and pasticcino3 mutants affected in embryo development are impaired in acetyl-CoA carboxylase.

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9.  Graminicide insensitivity correlates with herbicide-binding co-operativity on acetyl-CoA carboxylase isoforms.

Authors:  Lindsey J Price; Derek Herbert; Stephen R Moss; David J Cole; John L Harwood
Journal:  Biochem J       Date:  2003-10-15       Impact factor: 3.857

10.  Quantitative metabolome analysis using capillary electrophoresis mass spectrometry.

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  22 in total

1.  A signal filtering method for improved quantification and noise discrimination in fourier transform ion cyclotron resonance mass spectrometry-based metabolomics data.

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2.  The future of liquid chromatography-mass spectrometry (LC-MS) in metabolic profiling and metabolomic studies for biomarker discovery.

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Review 3.  Bioanalysis of eukaryotic organelles.

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Review 4.  Integration of omics approaches to understand oil/protein content during seed development in oilseed crops.

Authors:  Manju Gupta; Pudota B Bhaskar; Shreedharan Sriram; Po-Hao Wang
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5.  Metabolomics approach for determining growth-specific metabolites based on Fourier transform ion cyclotron resonance mass spectrometry.

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Journal:  Anal Bioanal Chem       Date:  2008-06-16       Impact factor: 4.142

6.  Differential metabolomics unraveling light/dark regulation of metabolic activities in Arabidopsis cell culture.

Authors:  Yukiko Nakamura; Atsuko Kimura; Hirohisa Saga; Akira Oikawa; Yoko Shinbo; Kosuke Kai; Nozomu Sakurai; Hideyuki Suzuki; Masahiko Kitayama; Daisuke Shibata; Shigehiko Kanaya; Daisaku Ohta
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7.  AMDORAP: non-targeted metabolic profiling based on high-resolution LC-MS.

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8.  Temporally resolved GC-MS-based metabolic profiling of herbicide treated plants treated reveals that changes in polar primary metabolites alone can distinguish herbicides of differing mode of action.

Authors:  Sandra Trenkamp; Peter Eckes; Marco Busch; Alisdair R Fernie
Journal:  Metabolomics       Date:  2008-12-13       Impact factor: 4.290

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

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Review 10.  Omics methods for probing the mode of action of natural and synthetic phytotoxins.

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Journal:  J Chem Ecol       Date:  2013-01-27       Impact factor: 2.626

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