Literature DB >> 26915807

Emerging new strategies for successful metabolite identification in metabolomics.

Kerem Bingol1, Lei Bruschweiler-Li2, Dawei Li2, Bo Zhang3, Mouzhe Xie3, Rafael Brüschweiler2,3,4.   

Abstract

This review discusses strategies for the identification of metabolites in complex biological mixtures, as encountered in metabolomics, which have emerged in the recent past. These include NMR database-assisted approaches for the identification of commonly known metabolites as well as novel combinations of NMR and MS analysis methods for the identification of unknown metabolites. The use of certain chemical additives to the NMR tube can permit identification of metabolites with specific physical chemical properties.

Keywords:  MS of metabolite mixtures; NMR of metabolite mixtures; complex mixture analysis; metabolite databases; metabolomics; nanoparticle-assisted metabolomics; paramagnetic relaxation enhancement

Mesh：

Substances：

Year:  2016        PMID： 26915807      PMCID： PMC5493966          DOI： 10.4155/bio-2015-0004

Source DB:  PubMed          Journal:  Bioanalysis        ISSN： 1757-6180            Impact factor:   2.681


  75 in total

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Authors:  Warwick B Dunn; David I Broadhurst; Helen J Atherton; Royston Goodacre; Julian L Griffin
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Review 3.  NMR metabolomics of human blood and urine in disease research.

Authors:  Iola F Duarte; Sílvia O Diaz; Ana M Gil
Journal:  J Pharm Biomed Anal       Date:  2013-10-06       Impact factor: 3.935

4.  A genome-wide association study of metabolic traits in human urine.

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Journal:  Nat Genet       Date:  2011-05-15       Impact factor: 38.330

5.  Principal component analysis of urine metabolites detected by NMR and DESI-MS in patients with inborn errors of metabolism.

Authors:  Zhengzheng Pan; Haiwei Gu; Nari Talaty; Huanwen Chen; Narasimhamurthy Shanaiah; Bryan E Hainline; R Graham Cooks; Daniel Raftery
Journal:  Anal Bioanal Chem       Date:  2006-07-05       Impact factor: 4.142

6.  15N-cholamine--a smart isotope tag for combining NMR- and MS-based metabolite profiling.

Authors:  Fariba Tayyari; G A Nagana Gowda; Haiwei Gu; Daniel Raftery
Journal:  Anal Chem       Date:  2013-08-26       Impact factor: 6.986

7.  Combining genomics, metabolome analysis, and biochemical modelling to understand metabolic networks.

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Journal:  Comp Funct Genomics       Date:  2001

8.  The future of NMR metabolomics in cancer therapy: towards personalizing treatment and developing targeted drugs?

Authors:  Marie S A Palmnas; Hans J Vogel
Journal:  Metabolites       Date:  2013-05-17

Review 9.  Standardizing the experimental conditions for using urine in NMR-based metabolomic studies with a particular focus on diagnostic studies: a review.

Authors:  Abdul-Hamid Emwas; Claudio Luchinat; Paola Turano; Leonardo Tenori; Raja Roy; Reza M Salek; Danielle Ryan; Jasmeen S Merzaban; Rima Kaddurah-Daouk; Ana Carolina Zeri; G A Nagana Gowda; Daniel Raftery; Yulan Wang; Lorraine Brennan; David S Wishart
Journal:  Metabolomics       Date:  2014-11-21       Impact factor: 4.290

10.  Customized metabolomics database for the analysis of NMR ¹H-¹H TOCSY and ¹³C-¹H HSQC-TOCSY spectra of complex mixtures.

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Journal:  Anal Chem       Date:  2014-05-20       Impact factor: 6.986
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  29 in total

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Authors:  G A Nagana Gowda; Daniel Raftery
Journal:  Anal Chem       Date:  2016-12-02       Impact factor: 6.986

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5.  Classification of Flavonoid Metabolomes via Data Mining and Quantification of Hydroxyl NMR Signals.

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Review 6.  Increasing rigor in NMR-based metabolomics through validated and open source tools.

Authors:  Hamid R Eghbalnia; Pedro R Romero; William M Westler; Kumaran Baskaran; Eldon L Ulrich; John L Markley
Journal:  Curr Opin Biotechnol       Date:  2016-09-16       Impact factor: 9.740

7.  Effect of Biochar on Microbial Growth: A Metabolomics and Bacteriological Investigation in E. coli.

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Journal:  Environ Sci Technol       Date:  2019-02-14       Impact factor: 9.028

Review 8.  Knowns and unknowns in metabolomics identified by multidimensional NMR and hybrid MS/NMR methods.

Authors:  Kerem Bingol; Rafael Brüschweiler
Journal:  Curr Opin Biotechnol       Date:  2016-08-20       Impact factor: 9.740

Review 9.  Beyond the paradigm: Combining mass spectrometry and nuclear magnetic resonance for metabolomics.

Authors:  Darrell D Marshall; Robert Powers
Journal:  Prog Nucl Magn Reson Spectrosc       Date:  2017-01-11       Impact factor: 9.795

10.  Quantitative profiling of carbonyl metabolites directly in crude biological extracts using chemoselective tagging and nanoESI-FTMS.

Authors:  Pan Deng; Richard M Higashi; Andrew N Lane; Ronald C Bruntz; Ramon C Sun; Mandapati V Ramakrishnam Raju; Michael H Nantz; Zhen Qi; Teresa W-M Fan
Journal:  Analyst       Date:  2017-12-18       Impact factor: 4.616
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