Literature DB >> 22041788

LC-MS-based metabolomics.

Bin Zhou1, Jun Feng Xiao, Leepika Tuli, Habtom W Ressom.   

Abstract

Metabolomics aims at identification and quantitation of small molecules involved in metabolic reactions. LC-MS has enjoyed a growing popularity as the platform for metabolomic studies due to its high throughput, soft ionization, and good coverage of metabolites. The success of a LC-MS-based metabolomic study often depends on multiple experimental, analytical, and computational steps. This review presents a workflow of a typical LC-MS-based metabolomic analysis for identification and quantitation of metabolites indicative of biological/environmental perturbations. Challenges and current solutions in each step of the workflow are reviewed. The review intends to help investigators understand the challenges in metabolomic studies and to determine appropriate experimental, analytical, and computational methods to address these challenges.

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Year:  2011        PMID: 22041788      PMCID: PMC3699692          DOI: 10.1039/c1mb05350g

Source DB:  PubMed          Journal:  Mol Biosyst        ISSN: 1742-2051


  72 in total

1.  Second-order peak detection for multicomponent high-resolution LC/MS data.

Authors:  Ragnar Stolt; Ralf J O Torgrip; Johan Lindberg; Leonard Csenki; Johan Kolmert; Ina Schuppe-Koistinen; Sven P Jacobsson
Journal:  Anal Chem       Date:  2006-02-15       Impact factor: 6.986

2.  OutlierD: an R package for outlier detection using quantile regression on mass spectrometry data.

Authors:  Hyungjun Cho; Yang-Jin Kim; Hee Jung Jung; Sang-Won Lee; Jae Won Lee
Journal:  Bioinformatics       Date:  2008-01-10       Impact factor: 6.937

3.  Probabilistic assignment of formulas to mass peaks in metabolomics experiments.

Authors:  Simon Rogers; Richard A Scheltema; Mark Girolami; Rainer Breitling
Journal:  Bioinformatics       Date:  2008-12-18       Impact factor: 6.937

Review 4.  Proteomics by mass spectrometry: approaches, advances, and applications.

Authors:  John R Yates; Cristian I Ruse; Aleksey Nakorchevsky
Journal:  Annu Rev Biomed Eng       Date:  2009       Impact factor: 9.590

5.  Increasing the mass accuracy of high-resolution LC-MS data using background ions: a case study on the LTQ-Orbitrap.

Authors:  Richard A Scheltema; Anas Kamleh; David Wildridge; Charles Ebikeme; David G Watson; Michael P Barrett; Ritsert C Jansen; Rainer Breitling
Journal:  Proteomics       Date:  2008-11       Impact factor: 3.984

6.  From large analogical instruments to small digital black boxes: 40 years of progress in mass spectrometry and its role in proteomics. Part II 1985-2000.

Authors:  Emilio Gelpí
Journal:  J Mass Spectrom       Date:  2009-08       Impact factor: 1.982

7.  Metabolomic profiles delineate potential role for sarcosine in prostate cancer progression.

Authors:  Arun Sreekumar; Laila M Poisson; Thekkelnaycke M Rajendiran; Amjad P Khan; Qi Cao; Jindan Yu; Bharathi Laxman; Rohit Mehra; Robert J Lonigro; Yong Li; Mukesh K Nyati; Aarif Ahsan; Shanker Kalyana-Sundaram; Bo Han; Xuhong Cao; Jaeman Byun; Gilbert S Omenn; Debashis Ghosh; Subramaniam Pennathur; Danny C Alexander; Alvin Berger; Jeffrey R Shuster; John T Wei; Sooryanarayana Varambally; Christopher Beecher; Arul M Chinnaiyan
Journal:  Nature       Date:  2009-02-12       Impact factor: 49.962

8.  Standard reporting requirements for biological samples in metabolomics experiments: microbial and in vitro biology experiments.

Authors:  Mariët J van der Werf; Ralf Takors; Jørn Smedsgaard; Jens Nielsen; Tom Ferenci; Jean Charles Portais; Christoph Wittmann; Mark Hooks; Alberta Tomassini; Marco Oldiges; Jennifer Fostel; Uwe Sauer
Journal:  Metabolomics       Date:  2007-08-20       Impact factor: 4.290

9.  Metabolic profiling of the response to an oral glucose tolerance test detects subtle metabolic changes.

Authors:  Suzan Wopereis; Carina M Rubingh; Marjan J van Erk; Elwin R Verheij; Trinette van Vliet; Nicole H P Cnubben; Age K Smilde; Jan van der Greef; Ben van Ommen; Henk F J Hendriks
Journal:  PLoS One       Date:  2009-02-26       Impact factor: 3.240

10.  Highly sensitive feature detection for high resolution LC/MS.

Authors:  Ralf Tautenhahn; Christoph Böttcher; Steffen Neumann
Journal:  BMC Bioinformatics       Date:  2008-11-28       Impact factor: 3.169

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  114 in total

Review 1.  The utility of metabolomics in natural product and biomarker characterization.

Authors:  Daniel G Cox; Joonseok Oh; Adam Keasling; Kim L Colson; Mark T Hamann
Journal:  Biochim Biophys Acta       Date:  2014-08-20

Review 2.  Emerging applications of metabolomics in studying chemopreventive phytochemicals.

Authors:  Lei Wang; Chi Chen
Journal:  AAPS J       Date:  2013-06-22       Impact factor: 4.009

3.  Improved workflow for mass spectrometry-based metabolomics analysis of the heart.

Authors:  Douglas A Andres; Lyndsay E A Young; Sudhakar Veeranki; Tara R Hawkinson; Bryana M Levitan; Daheng He; Chi Wang; Jonathan Satin; Ramon C Sun
Journal:  J Biol Chem       Date:  2020-01-24       Impact factor: 5.157

4.  Metabolomic analysis to define and compare the effects of PAHs and oxygenated PAHs in developing zebrafish.

Authors:  Marc R Elie; Jaewoo Choi; Yasmeen M Nkrumah-Elie; Gregory D Gonnerman; Jan F Stevens; Robert L Tanguay
Journal:  Environ Res       Date:  2015-05-22       Impact factor: 6.498

5.  Ontology-based metabolomics data integration with quality control.

Authors:  Patricia Buendia; Ray M Bradley; Thomas J Taylor; Emma L Schymanski; Gary J Patti; Mansur R Kabuka
Journal:  Bioanalysis       Date:  2019-06-10       Impact factor: 2.681

Review 6.  Mass Spectrometry-based Metabolomics in Translational Research.

Authors:  Su Jung Kim; Ha Eun Song; Hyo Yeong Lee; Hyun Ju Yoo
Journal:  Adv Exp Med Biol       Date:  2021       Impact factor: 2.622

7.  A Tandem Liquid Chromatography-Mass Spectrometry-based Approach for Metabolite Analysis of Staphylococcus aureus.

Authors:  David J Samuels; Zhe Wang; Kyu Y Rhee; Shaun R Brinsmade
Journal:  J Vis Exp       Date:  2017-03-28       Impact factor: 1.355

8.  Large scale non-targeted metabolomic profiling of serum by ultra performance liquid chromatography-mass spectrometry (UPLC-MS).

Authors:  Corey D Broeckling; Adam L Heuberger; Jessica E Prenni
Journal:  J Vis Exp       Date:  2013-03-14       Impact factor: 1.355

Review 9.  Metabolomics: a novel approach to identify potential diagnostic biomarkers and pathogenesis in Alzheimer's disease.

Authors:  Xu-Hua Xu; Yue Huang; Gang Wang; Sheng-Di Chen
Journal:  Neurosci Bull       Date:  2012-10-03       Impact factor: 5.203

10.  LC-MS based serum metabolomics for identification of hepatocellular carcinoma biomarkers in Egyptian cohort.

Authors:  Jun Feng Xiao; Rency S Varghese; Bin Zhou; Mohammad R Nezami Ranjbar; Yi Zhao; Tsung-Heng Tsai; Cristina Di Poto; Jinlian Wang; David Goerlitz; Yue Luo; Amrita K Cheema; Naglaa Sarhan; Hanan Soliman; Mahlet G Tadesse; Dina Hazem Ziada; Habtom W Ressom
Journal:  J Proteome Res       Date:  2012-11-01       Impact factor: 4.466

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