Literature DB >> 20828141

Does the mass spectrometer define the marker? A comparison of global metabolite profiling data generated simultaneously via UPLC-MS on two different mass spectrometers.

Helen G Gika1, Georgios A Theodoridis, Mark Earll, Rodney W Snyder, Susan J Sumner, Ian D Wilson.   

Abstract

By coupling a single UPLC separation to two different types of mass spectrometer an unbiased comparison of the metabolite profiles produced by each instrument for a set of rat urine samples was obtained. The flow from the UPLC column was split equally and both streams of eluent were simultaneously directed to the inlets of the two mass spectrometers. Mass spectrometry on the eluent was undertaken using a triple quadrupole linear ion trap and a hybrid quadrupole time-of-flight mass spectrometer using both positive and negative ESI. Data from both mass spectrometers were subjected to multivariate statistical analysis, after applying the same data extraction software, and showed the same general pattern of correlation between the samples using both unsupervised and supervised methods of statistical analysis. Based on orthogonal partial least-squares discriminant analysis models a number of ions were recognized as "responsible" for the separation of the animal groups. From the peaks detected, and denoted as significant by the statistical analysis a number of ions were found to be unique to one data set or the other, a result which may have consequences for biomarker discovery and interlaboratory comparisons. The software package used for data analysis also had an effect on the outcome of the statistical analysis.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 20828141      PMCID: PMC2951889          DOI: 10.1021/ac1016612

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  18 in total

1.  Metabonomics: the use of electrospray mass spectrometry coupled to reversed-phase liquid chromatography shows potential for the screening of rat urine in drug development.

Authors:  Robert S Plumb; Chris L Stumpf; Marc V Gorenstein; Jose M Castro-Perez; Gordon J Dear; Maria Anthony; Brian C Sweatman; Susan C Connor; John N Haselden
Journal:  Rapid Commun Mass Spectrom       Date:  2002       Impact factor: 2.419

2.  High resolution "ultra performance" liquid chromatography coupled to oa-TOF mass spectrometry as a tool for differential metabolic pathway profiling in functional genomic studies.

Authors:  Ian D Wilson; Jeremy K Nicholson; Jose Castro-Perez; Jennifer H Granger; Kelly A Johnson; Brian W Smith; Robert S Plumb
Journal:  J Proteome Res       Date:  2005 Mar-Apr       Impact factor: 4.466

3.  Automated 20 kpsi RPLC-MS and MS/MS with chromatographic peak capacities of 1000-1500 and capabilities in proteomics and metabolomics.

Authors:  Yufeng Shen; Rui Zhang; Ronald J Moore; Jeongkwon Kim; Thomas O Metz; Kim K Hixson; Rui Zhao; Eric A Livesay; Harold R Udseth; Richard D Smith
Journal:  Anal Chem       Date:  2005-05-15       Impact factor: 6.986

4.  XCMS: processing mass spectrometry data for metabolite profiling using nonlinear peak alignment, matching, and identification.

Authors:  Colin A Smith; Elizabeth J Want; Grace O'Maille; Ruben Abagyan; Gary Siuzdak
Journal:  Anal Chem       Date:  2006-02-01       Impact factor: 6.986

Review 5.  Analytical strategies in metabonomics.

Authors:  Eva Maria Lenz; Ian D Wilson
Journal:  J Proteome Res       Date:  2007-02       Impact factor: 4.466

Review 6.  LC-MS-based metabonomics analysis.

Authors:  Xin Lu; Xinjie Zhao; Changmin Bai; Chunxia Zhao; Guo Lu; Guowang Xu
Journal:  J Chromatogr B Analyt Technol Biomed Life Sci       Date:  2007-10-22       Impact factor: 3.205

7.  Within-day reproducibility of an HPLC-MS-based method for metabonomic analysis: application to human urine.

Authors:  Helen G Gika; Georgios A Theodoridis; Julia E Wingate; Ian D Wilson
Journal:  J Proteome Res       Date:  2007-07-11       Impact factor: 4.466

8.  Evaluation of the repeatability of ultra-performance liquid chromatography-TOF-MS for global metabolic profiling of human urine samples.

Authors:  Helen G Gika; Euan Macpherson; Georgios A Theodoridis; Ian D Wilson
Journal:  J Chromatogr B Analyt Technol Biomed Life Sci       Date:  2008-06-06       Impact factor: 3.205

9.  The metabonomics of aging and development in the rat: an investigation into the effect of age on the profile of endogenous metabolites in the urine of male rats using 1H NMR and HPLC-TOF MS.

Authors:  R E Williams; E M Lenz; J S Lowden; M Rantalainen; I D Wilson
Journal:  Mol Biosyst       Date:  2005-04-22

10.  Metabonomics with 1H-NMR spectroscopy and liquid chromatography-mass spectrometry applied to the investigation of metabolic changes caused by gentamicin-induced nephrotoxicity in the rat.

Authors:  E M Lenz; J Bright; R Knight; F R Westwood; D Davies; H Major; I D Wilson
Journal:  Biomarkers       Date:  2005 Mar-Jun       Impact factor: 2.658

View more
  10 in total

1.  Lipid characterization of individual porcine oocytes by dual mode DESI-MS and data fusion.

Authors:  Valentina Pirro; Paolo Oliveri; Christina Ramires Ferreira; Andrés Felipe González-Serrano; Zoltan Machaty; Robert Graham Cooks
Journal:  Anal Chim Acta       Date:  2014-08-11       Impact factor: 6.558

2.  Investigation of chronic alcohol consumption in rodents via ultra-high-performance liquid chromatography-mass spectrometry based metabolite profiling.

Authors:  Helen G Gika; Cheng Ji; Georgios A Theodoridis; Filippos Michopoulos; Neil Kaplowitz; Ian D Wilson
Journal:  J Chromatogr A       Date:  2012-03-03       Impact factor: 4.759

3.  Visualization, Quantification, and Alignment of Spectral Drift in Population Scale Untargeted Metabolomics Data.

Authors:  Jeramie D Watrous; Mir Henglin; Brian Claggett; Kim A Lehmann; Martin G Larson; Susan Cheng; Mohit Jain
Journal:  Anal Chem       Date:  2017-01-26       Impact factor: 6.986

4.  Can we trust untargeted metabolomics? Results of the metabo-ring initiative, a large-scale, multi-instrument inter-laboratory study.

Authors:  Jean-Charles Martin; Matthieu Maillot; Gérard Mazerolles; Alexandre Verdu; Bernard Lyan; Carole Migné; Catherine Defoort; Cecile Canlet; Christophe Junot; Claude Guillou; Claudine Manach; Daniel Jabob; Delphine Jouan-Rimbaud Bouveresse; Estelle Paris; Estelle Pujos-Guillot; Fabien Jourdan; Franck Giacomoni; Frédérique Courant; Gaëlle Favé; Gwenaëlle Le Gall; Hubert Chassaigne; Jean-Claude Tabet; Jean-Francois Martin; Jean-Philippe Antignac; Laetitia Shintu; Marianne Defernez; Mark Philo; Marie-Cécile Alexandre-Gouaubau; Marie-Josephe Amiot-Carlin; Mathilde Bossis; Mohamed N Triba; Natali Stojilkovic; Nathalie Banzet; Roland Molinié; Romain Bott; Sophie Goulitquer; Stefano Caldarelli; Douglas N Rutledge
Journal:  Metabolomics       Date:  2014-10-14       Impact factor: 4.290

5.  A Comparative Evaluation of Tools to Predict Metabolite Profiles From Microbiome Sequencing Data.

Authors:  Xiaochen Yin; Tomer Altman; Erica Rutherford; Kiana A West; Yonggan Wu; Jinlyung Choi; Paul L Beck; Gilaad G Kaplan; Karim Dabbagh; Todd Z DeSantis; Shoko Iwai
Journal:  Front Microbiol       Date:  2020-12-04       Impact factor: 5.640

Review 6.  Reference materials for MS-based untargeted metabolomics and lipidomics: a review by the metabolomics quality assurance and quality control consortium (mQACC).

Authors:  Katrice A Lippa; Juan J Aristizabal-Henao; Richard D Beger; John A Bowden; Corey Broeckling; Chris Beecher; W Clay Davis; Warwick B Dunn; Roberto Flores; Royston Goodacre; Gonçalo J Gouveia; Amy C Harms; Thomas Hartung; Christina M Jones; Matthew R Lewis; Ioanna Ntai; Andrew J Percy; Dan Raftery; Tracey B Schock; Jinchun Sun; Georgios Theodoridis; Fariba Tayyari; Federico Torta; Candice Z Ulmer; Ian Wilson; Baljit K Ubhi
Journal:  Metabolomics       Date:  2022-04-09       Impact factor: 4.747

7.  Helically shaped cation receptor: design, synthesis, characterisation and first application to ion transport.

Authors:  Hamza Boufroura; Romain Plais; Salomé Poyer; Anne Gaucher; Jérome Marrot; Gilles Clavier; François-Xavier Legrand; Cécile Huin; Philippe Guégan; Damien Prim; Jean-Yves Salpin
Journal:  RSC Adv       Date:  2020-08-27       Impact factor: 4.036

8.  Metabolite profiling identified methylerythritol cyclodiphosphate efflux as a limiting step in microbial isoprenoid production.

Authors:  Kang Zhou; Ruiyang Zou; Gregory Stephanopoulos; Heng-Phon Too
Journal:  PLoS One       Date:  2012-11-02       Impact factor: 3.240

9.  Metabolomics Benefits from Orbitrap GC-MS-Comparison of Low- and High-Resolution GC-MS.

Authors:  Daniel Stettin; Remington X Poulin; Georg Pohnert
Journal:  Metabolites       Date:  2020-04-04

10.  Untargeted Analysis of Lemna minor Metabolites: Workflow and Prioritization Strategy Comparing Highly Confident Features between Different Mass Spectrometers.

Authors:  Rofida Wahman; Stefan Moser; Stefan Bieber; Catarina Cruzeiro; Peter Schröder; August Gilg; Frank Lesske; Thomas Letzel
Journal:  Metabolites       Date:  2021-12-02
  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.