Literature DB >> 31623721

Metandem: An online software tool for mass spectrometry-based isobaric labeling metabolomics.

Ling Hao1, Yuerong Zhu2, Pingli Wei3, Jillian Johnson1, Amanda Buchberger3, Dustin Frost1, W John Kao4, Lingjun Li5.   

Abstract

Mass spectrometry-based stable isotope labeling provides the advantages of multiplexing capability and accurate quantification but requires tailored bioinformatics tools for data analysis. Despite the rapid advancements in analytical methodology, it is often challenging to analyze stable isotope labeling-based metabolomics data, particularly for isobaric labeling using MS/MS reporter ions for quantification. We report Metandem, a novel online software tool for isobaric labeling-based metabolomics, freely available at http://metandem.com/web/. Metandem provides a comprehensive data analysis pipeline integrating feature extraction, metabolite quantification, metabolite identification, batch processing of multiple data files, online parameter optimization for custom datasets, data normalization, and statistical analysis. Systematic evaluation of the Metandem tool was demonstrated on UPLC-MS/MS, nanoLC-MS/MS, CE-MS/MS and MALDI-MS platforms, via duplex, 4-plex, 10-plex, and 12-plex isobaric labeling experiments and the application to various biological samples.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  DiLeu; Isobaric labeling; Metabolomics; Metandem; Software; Stable isotope labeling

Mesh:

Year:  2019        PMID: 31623721      PMCID: PMC6814207          DOI: 10.1016/j.aca.2019.08.046

Source DB:  PubMed          Journal:  Anal Chim Acta        ISSN: 0003-2670            Impact factor:   6.558


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