Differential metabolomics software for capillary electrophoresis-mass spectrometry data analysis

Masahiro Sugimoto, Akiyoshi Hirayama, Takamasa Ishikawa, Martin Robert, Richard Baran, Keizo Uehara, Katsuya Kawai, Tomoyoshi Soga, Masaru Tomita

Research output: Contribution to journalArticle

39 Citations (Scopus)

Abstract

In metabolomics, the rapid identification of quantitative differences between multiple biological samples remains a major challenge. While capillary electrophoresis-mass spectrometry (CE-MS) is a powerful tool to simultaneously quantify charged metabolites, reliable and easy-to-use software that is well suited to analyze CE-MS metabolic profiles is still lacking. Optimized software tools for CE-MS are needed because of the sometimes large variation in migration time between runs and the wider variety of peak shapes in CE-MS data compared with LC-MS or GC-MS. Therefore, we implemented a stand-alone application named JDAMP (Java application for Differential Analysis of Metabolite Profiles), which allows users to identify the metabolites that vary between two groups. The main features include fast calculation modules and a file converter using an original compact file format, baseline subtraction, dataset normalization and alignment, visualization on 2D plots (m/z and time axis) with matching metabolite standards, and the detection of significant differences between metabolite profiles. Moreover, it features an easy-to-use graphical user interface that requires only a few mouse-actions to complete the analysis. The interface also enables the analyst to evaluate the semiautomatic processes and interactively tune options and parameters depending on the input datasets. The confirmation of findings is available as a list of overlaid electropherograms, which is ranked using a novel difference-evaluation function that accounts for peak size and distortion as well as statistical criteria for accurate difference-detection. Overall, the JDAMP software complements other metabolomics data processing tools and permits easy and rapid detection of significant differences between multiple complex CE-MS profiles.

Original languageEnglish
Pages (from-to)27-41
Number of pages15
JournalMetabolomics
Volume6
Issue number1
DOIs
Publication statusPublished - 2010 Mar 1

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Keywords

  • Capillary electrophoresis-mass spectrometry
  • Data analysis
  • Metabolome
  • Software

ASJC Scopus subject areas

  • Endocrinology, Diabetes and Metabolism
  • Biochemistry
  • Clinical Biochemistry

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