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Bioinformatics in Lipidomics: Automating Large-Scale LC-MS-Based Untargeted Lipidomics Profiling with SimLipid

Ningombam Sanjib Meitei1,2, Vladimir Shulaev3

  • 1PREMIER Biosoft, Indore, India. sanjibmeiteicha@gmail.com.

Methods in Molecular Biology (Clifton, N.J.)
|November 17, 2021
PubMed
Summary

SimLipid software streamlines untargeted plant lipidomics by automating the analysis of large liquid chromatography-mass spectrometry (LC-MS) datasets. This tool facilitates rapid and confident identification of lipid molecular species.

Keywords:
BioinformaticsGrapesLC-MSLipid identificationLipidomics

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Area of Science:

  • Plant lipidomics
  • Mass spectrometry
  • Biochemistry

Background:

  • Liquid chromatography-mass spectrometry (LC-MS) is a popular platform for untargeted plant lipidomics.
  • Analyzing large datasets from LC-MS methods presents significant challenges.
  • Efficient data processing is crucial for accurate lipid identification.

Purpose of the Study:

  • To develop and present SimLipid software for streamlining LC-MS-based untargeted plant lipidomics.
  • To provide a user-friendly workbench for rapid review and confident identification of lipid species.
  • To automate the analysis of large-volume lipidomics datasets.

Main Methods:

  • Development of SimLipid software with a customizable lipid species library.
  • Implementation of graphical user interfaces (GUIs) for data visualization.
  • Integration of annotated mass spectra (fragment and parent ions) and detailed lipid information.

Main Results:

  • SimLipid enables rapid review of raw data, identified lipid molecules, and associated mass spectra.
  • The software facilitates confident identification of lipid molecular species.
  • A workflow for automating large-scale LC-MS-based untargeted lipidomics profiling is presented.

Conclusions:

  • SimLipid software effectively streamlines the analysis of untargeted plant lipidomics data.
  • The software enhances the efficiency and accuracy of lipid identification from LC-MS data.
  • SimLipid provides a comprehensive workbench for researchers in plant lipidomics.