| Literature DB >> 31623721 |
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.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