Literature DB >> 21083110

Mass spectrometry-based technologies for high-throughput metabolomics.

Jun Han1, Raju Datla, Sammy Chan, Christoph H Borchers.   

Abstract

The metabolome is composed of a vast number of small-molecule metabolites that exhibit a diversity of physical and chemical properties and exist over a wide dynamic range in biological samples. Multiple analytical techniques, used in a complementary manner, are required to achieve high coverage of the metabolome. MS is playing a central role in metabolomics research. Herein, we present a brief overview of the MS-based technologies employed for high-throughput metabolomics. These technologies range from chromatography-MS techniques, such as GC-MS and LC-MS, to chromatography-free techniques, such as direct infusion, matrix-assisted and matrix-free laser desorption/ionization, imaging and some new ambient ionization approaches. Chemoinformatics and bioinformatics tools are widely available to facilitate successful metabolomics studies by turning the complex metabolomics data into biological information through streamlined data processing, analysis and interpretation.

Entities:  

Mesh:

Year:  2009        PMID: 21083110     DOI: 10.4155/bio.09.158

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


  11 in total

1.  Multivariate Analysis in Metabolomics.

Authors:  Bradley Worley; Robert Powers
Journal:  Curr Metabolomics       Date:  2013

Review 2.  Harvesting the biological potential of the human gut microbiome.

Authors:  Benjamin P Willing; L Caetano M Antunes; Kristie M Keeney; Rosana B R Ferreira; B Brett Finlay
Journal:  Bioessays       Date:  2011-04-15       Impact factor: 4.345

Review 3.  Ambient mass spectrometry in metabolomics.

Authors:  Chaevien S Clendinen; María Eugenia Monge; Facundo M Fernández
Journal:  Analyst       Date:  2017-08-21       Impact factor: 4.616

4.  Surface fitting for calculating the second dimension retention index in comprehensive two-dimensional gas chromatography mass spectrometry.

Authors:  Md Aminul Islam Prodhan; Xinmin Yin; Seongho Kim; Craig McClain; Xiang Zhang
Journal:  J Chromatogr A       Date:  2018-01-31       Impact factor: 4.759

Review 5.  Review: toxicometabolomics.

Authors:  Mounir Bouhifd; Thomas Hartung; Helena T Hogberg; Andre Kleensang; Liang Zhao
Journal:  J Appl Toxicol       Date:  2013-05-30       Impact factor: 3.446

Review 6.  Canine metabolomics advances.

Authors:  Graciela Carlos; Francisco Paulo Dos Santos; Pedro Eduardo Fröehlich
Journal:  Metabolomics       Date:  2020-01-18       Impact factor: 4.290

7.  On the hypothesis-free testing of metabolite ratios in genome-wide and metabolome-wide association studies.

Authors:  Ann-Kristin Petersen; Jan Krumsiek; Brigitte Wägele; Fabian J Theis; H-Erich Wichmann; Christian Gieger; Karsten Suhre
Journal:  BMC Bioinformatics       Date:  2012-06-06       Impact factor: 3.169

8.  Metabonomic profiles delineate the effect of traditional Chinese medicine sini decoction on myocardial infarction in rats.

Authors:  Guangguo Tan; Wenting Liao; Xin Dong; Genjing Yang; Zhenyu Zhu; Wuhong Li; Yifeng Chai; Ziyang Lou
Journal:  PLoS One       Date:  2012-04-06       Impact factor: 3.240

Review 9.  Data Mining Methods for Omics and Knowledge of Crude Medicinal Plants toward Big Data Biology.

Authors:  Farit M Afendi; Naoaki Ono; Yukiko Nakamura; Kensuke Nakamura; Latifah K Darusman; Nelson Kibinge; Aki Hirai Morita; Ken Tanaka; Hisayuki Horai; Md Altaf-Ul-Amin; Shigehiko Kanaya
Journal:  Comput Struct Biotechnol J       Date:  2013-03-23       Impact factor: 7.271

10.  Computational mass spectrometry for small molecules.

Authors:  Kerstin Scheubert; Franziska Hufsky; Sebastian Böcker
Journal:  J Cheminform       Date:  2013-03-01       Impact factor: 5.514

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