Literature DB >> 36152164

Data Processing and Analysis in Mass Spectrometry-Based Metabolomics.

Ángela Peralbo-Molina1, Pol Solà-Santos2,3,4, Alexandre Perera-Lluna2,3,4, Eduardo Chicano-Gálvez5.   

Abstract

Metabolomics is the latest of the omics sciences. It attempts to measure and characterize metabolites-small chemical compounds <1500 Da-on cells, tissue, or biofluids, which are usually products of biological reactions. As metabolic reactions are closer to the phenotype, metabolomics has emerged as an attractive science for various areas of research, including personalized medicine. However, due to the complexity of data obtained and the absence of curated databases for metabolite identification, data processing is the major bottleneck in this area since most technicians lack the required bioinformatics expertise to process datasets in a reliable and fast manner. The aim of this chapter is to describe the available tools for data processing that makes an inexperienced researcher capable of obtaining reliable results without having to undergo through huge parametrization steps.
© 2023. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Data processing; Liquid chromatography; Mass spectrometry; Untargeted metabolomics

Mesh:

Year:  2023        PMID: 36152164     DOI: 10.1007/978-1-0716-2699-3_20

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  68 in total

Review 1.  Metabolomics--the link between genotypes and phenotypes.

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Journal:  Plant Mol Biol       Date:  2002-01       Impact factor: 4.076

Review 2.  Capillary electrophoresis-mass spectrometry: 15 years of developments and applications.

Authors:  Philippe Schmitt-Kopplin; Moritz Frommberger
Journal:  Electrophoresis       Date:  2003-12       Impact factor: 3.535

Review 3.  Modern analytical techniques in metabolomics analysis.

Authors:  Aihua Zhang; Hui Sun; Ping Wang; Ying Han; Xijun Wang
Journal:  Analyst       Date:  2011-11-21       Impact factor: 4.616

Review 4.  An introduction to biological nuclear magnetic resonance spectroscopy.

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Journal:  Biol Rev Camb Philos Soc       Date:  2010-10-24

5.  The future of liquid chromatography-mass spectrometry (LC-MS) in metabolic profiling and metabolomic studies for biomarker discovery.

Authors:  Thomas O Metz; Qibin Zhang; Jason S Page; Yufeng Shen; Stephen J Callister; Jon M Jacobs; Richard D Smith
Journal:  Biomark Med       Date:  2007-06       Impact factor: 2.851

6.  What is a genome?

Authors:  A Stencel; B Crespi
Journal:  Mol Ecol       Date:  2013-07       Impact factor: 6.185

Review 7.  Integrated metabolomics and genomics: systems approaches to biomarkers and mechanisms of cardiovascular disease.

Authors:  Svati H Shah; Christopher B Newgard
Journal:  Circ Cardiovasc Genet       Date:  2015-04

Review 8.  Current and future perspectives of functional metabolomics in disease studies-A review.

Authors:  Min Yan; Guowang Xu
Journal:  Anal Chim Acta       Date:  2018-04-17       Impact factor: 6.558

Review 9.  High-throughput discovery metabolomics.

Authors:  Tobias Fuhrer; Nicola Zamboni
Journal:  Curr Opin Biotechnol       Date:  2014-09-03       Impact factor: 9.740

10.  HMDB 4.0: the human metabolome database for 2018.

Authors:  David S Wishart; Yannick Djoumbou Feunang; Ana Marcu; An Chi Guo; Kevin Liang; Rosa Vázquez-Fresno; Tanvir Sajed; Daniel Johnson; Carin Li; Naama Karu; Zinat Sayeeda; Elvis Lo; Nazanin Assempour; Mark Berjanskii; Sandeep Singhal; David Arndt; Yonjie Liang; Hasan Badran; Jason Grant; Arnau Serra-Cayuela; Yifeng Liu; Rupa Mandal; Vanessa Neveu; Allison Pon; Craig Knox; Michael Wilson; Claudine Manach; Augustin Scalbert
Journal:  Nucleic Acids Res       Date:  2018-01-04       Impact factor: 16.971

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