Literature DB >> 17269702

Analytical strategies in metabonomics.

Eva Maria Lenz1, Ian D Wilson.   

Abstract

To perform metabonomics investigations, it is necessary to generate comprehensive metabolite profiles for complex samples such as biofluids and tissue/tissue extracts. Analytical technologies that can be used to achieve this aim are constantly evolving, and new developments are changing the way in which such profiles' metabolite profiles can be generated. Here, the utility of various analytical techniques for global metabolite profiling, such as, e.g., 1H NMR, MS, HPLC-MS, and GC-MS, are explored and compared.

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Year:  2007        PMID： 17269702     DOI： 10.1021/pr0605217

Source DB:  PubMed          Journal:  J Proteome Res        ISSN： 1535-3893            Impact factor:   4.466


  97 in total

1.  Global urinary metabolic profiling procedures using gas chromatography-mass spectrometry.

Authors:  Eric Chun Yong Chan; Kishore Kumar Pasikanti; Jeremy K Nicholson
Journal:  Nat Protoc       Date:  2011-09-08       Impact factor: 13.491

2.  Metabolic profiling for the detection of bladder cancer.

Authors:  Que N Van; Timothy D Veenstra; Haleem J Issaq
Journal:  Curr Urol Rep       Date:  2011-02       Impact factor: 3.092

3.  Comprehensive two-dimensional gas chromatography/time-of-flight mass spectrometry peak sorting algorithm.

Authors:  Cheolhwan Oh; Xiaodong Huang; Fred E Regnier; Charles Buck; Xiang Zhang
Journal:  J Chromatogr A       Date:  2007-12-03       Impact factor: 4.759

Review 4.  Application of metabonomic analytical techniques in the modernization and toxicology research of traditional Chinese medicine.

Authors:  Yong-Min Lao; Jian-Guo Jiang; Lu Yan
Journal:  Br J Pharmacol       Date:  2009-06-05       Impact factor: 8.739

5.  Capillary LC-MS for high sensitivity metabolomic analysis of single islets of Langerhans.

Authors:  Qihui Ni; Kendra R Reid; Charles F Burant; Robert T Kennedy
Journal:  Anal Chem       Date:  2008-04-10       Impact factor: 6.986

6.  Real-Time Pure Shift HSQC NMR for Untargeted Metabolomics.

Authors:  István Timári; Cheng Wang; Alexandar L Hansen; Gilson Costa Dos Santos; Sung Ok Yoon; Lei Bruschweiler-Li; Rafael Brüschweiler
Journal:  Anal Chem       Date:  2019-01-16       Impact factor: 6.986

7.  Bioanalytical applications of surface-enhanced Raman spectroscopy: de novo molecular identification.

Authors:  Anh H Nguyen; Emily A Peters; Zachary D Schultz
Journal:  Rev Anal Chem       Date:  2017-07-05       Impact factor: 3.067

8.  Urinary metabolomic profiling in rats exposed to dietary di(2-ethylhexyl) phthalate (DEHP) using ultra-performance liquid chromatography quadrupole time-of-flight tandem mass spectrometry (UPLC/Q-TOF-MS).

Authors:  Xinwen Dong; Yunbo Zhang; Jin Dong; Yue Zhao; Jipeng Guo; Zhanju Wang; Mingqi Liu; Xiaolin Na; Cheng Wang
Journal:  Environ Sci Pollut Res Int       Date:  2017-05-30       Impact factor: 4.223

9.  Consolidating metabolite identifiers to enable contextual and multi-platform metabolomics data analysis.

Authors:  Henning Redestig; Miyako Kusano; Atsushi Fukushima; Fumio Matsuda; Kazuki Saito; Masanori Arita
Journal:  BMC Bioinformatics       Date:  2010-04-29       Impact factor: 3.169

10.  Ovarian cancer detection from metabolomic liquid chromatography/mass spectrometry data by support vector machines.

Authors:  Wei Guan; Manshui Zhou; Christina Y Hampton; Benedict B Benigno; L Deette Walker; Alexander Gray; John F McDonald; Facundo M Fernández
Journal:  BMC Bioinformatics       Date:  2009-08-22       Impact factor: 3.169
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