Literature DB >> 15389859

Metabolomics applications of FT-ICR mass spectrometry.

Stephen C Brown1, Gary Kruppa, Jean-Louis Dasseux.   

Abstract

Metabolomics, also known as Metabolic Profiling, is an emerging discipline under the umbrella concept of systems biology. The goal of metabolomics is to know and understand the concentrations and fluxes of endogenous metabolites within a living biological system under study. General tools are being developed for the rapid measurement of many metabolites in a single experiment, most of which are mass spectrometric methods. FT-ICR has unique advantages, as a mass spectrometric method, in this regard. Applications of FT-ICR to metabolomics analyses will be discussed and reviewed in the context of the single publication currently available. 2004 Wiley Periodicals, Inc.

Mesh:

Year:  2005        PMID: 15389859     DOI: 10.1002/mas.20011

Source DB:  PubMed          Journal:  Mass Spectrom Rev        ISSN: 0277-7037            Impact factor:   10.946


  50 in total

1.  Pathway confirmation and flux analysis of central metabolic pathways in Desulfovibrio vulgaris hildenborough using gas chromatography-mass spectrometry and Fourier transform-ion cyclotron resonance mass spectrometry.

Authors:  Yinjie Tang; Francesco Pingitore; Aindrila Mukhopadhyay; Richard Phan; Terry C Hazen; Jay D Keasling
Journal:  J Bacteriol       Date:  2006-11-17       Impact factor: 3.490

Review 2.  Metabolomics and its role in understanding cellular responses in plants.

Authors:  Ritu Bhalla; Kothandaraman Narasimhan; Sanjay Swarup
Journal:  Plant Cell Rep       Date:  2005-11-16       Impact factor: 4.570

Review 3.  Mass spectrometry-based metabolomics.

Authors:  Katja Dettmer; Pavel A Aronov; Bruce D Hammock
Journal:  Mass Spectrom Rev       Date:  2007 Jan-Feb       Impact factor: 10.946

4.  Improving mass spectrometer sensitivity using a high-pressure electrodynamic ion funnel interface.

Authors:  Yehia Ibrahim; Keqi Tang; Aleksey V Tolmachev; Alexandre A Shvartsburg; Richard D Smith
Journal:  J Am Soc Mass Spectrom       Date:  2006-07-12       Impact factor: 3.109

5.  Parts-per-billion mass measurement accuracy achieved through the combination of multiple linear regression and automatic gain control in a Fourier transform ion cyclotron resonance mass spectrometer.

Authors:  D Keith Williams; David C Muddiman
Journal:  Anal Chem       Date:  2007-06-01       Impact factor: 6.986

Review 6.  The Cinderella story of metabolic profiling: does metabolomics get to go to the functional genomics ball?

Authors:  Julian L Griffin
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2006-01-29       Impact factor: 6.237

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

Authors:  Tristan G Payne; Andrew D Southam; Theodoros N Arvanitis; Mark R Viant
Journal:  J Am Soc Mass Spectrom       Date:  2009-02-07       Impact factor: 3.109

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

Authors:  Thomas O Metz; Qibin Zhang; Jason S Page; Yufeng Shen; Stephen J Callister; Jon M Jacobs; Richard D Smith
Journal:  Biomark Med       Date:  2007-06       Impact factor: 2.851

9.  FT-ICR MS optimization for the analysis of intact proteins.

Authors:  Aleksey V Tolmachev; Errol W Robinson; Si Wu; Ljiljana Paša-Tolić; Richard D Smith
Journal:  Int J Mass Spectrom       Date:  2009-10-15       Impact factor: 1.986

10.  Gene transcript and metabolite profiling of elicitor-induced opium poppy cell cultures reveals the coordinate regulation of primary and secondary metabolism.

Authors:  Katherine G Zulak; Anthony Cornish; Timothy E Daskalchuk; Michael K Deyholos; Dayan B Goodenowe; Paul M K Gordon; Darren Klassen; Lawrence E Pelcher; Christoph W Sensen; Peter J Facchini
Journal:  Planta       Date:  2006-11-01       Impact factor: 4.116

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