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Related Experiment Video

Updated: May 25, 2026

Shotgun Lipidomics of Rodent Tissues
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Published on: November 18, 2022

LipidXplorer: a software for consensual cross-platform lipidomics.

Ronny Herzog1, Kai Schuhmann, Dominik Schwudke

  • 1Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany.

Plos One
|January 25, 2012
PubMed
Summary

LipidXplorer is open-source software for analyzing complex lipidomics data from shotgun mass spectrometry. It enables identification and quantification of diverse lipid species without reference spectra, aiding biomarker discovery.

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Area of Science:

  • Biochemistry
  • Computational Biology
  • Mass Spectrometry

Background:

  • Lipidomics research generates large, complex datasets from shotgun mass spectrometry.
  • Accurate identification and quantification of diverse lipid species are crucial for biological insights.
  • Existing software may rely on specific reference spectra, limiting flexibility.

Purpose of the Study:

  • To introduce LipidXplorer, an open-source software for comprehensive lipidome characterization.
  • To enable quantitative analysis of complex lipidomics datasets using shotgun mass spectrometry.
  • To provide a flexible tool for lipid species identification and quantification independent of reference spectra.

Main Methods:

  • LipidXplorer processes shotgun mass spectra from any tandem mass spectrometer.

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  • It identifies and quantifies molecular species across various ionizable lipid classes.
  • The software utilizes known or assumed molecular fragmentation pathways for analysis.

    • Main Results:

    • LipidXplorer supports high-throughput screening for molecular diagnostics and biomarker discovery.
    • It facilitates targeted absolute quantification of low-abundance lipid species.
    • The software is adaptable to various lipid classes and fragmentation patterns.

    Conclusions:

    • LipidXplorer offers a versatile and open-source solution for quantitative lipidomics.
    • It empowers researchers to analyze complex lipidomes with high accuracy and flexibility.
    • The software supports diverse applications, from biomarker discovery to detailed lipid profiling.