Litcius/Paper detail

LipidQuant 1.0: automated data processing in lipid class separation–mass spectrometry quantitative workflows

Denise Wolrab, Eva Cífková, Pavel Čáň, Miroslav Lísa, Ondřej Peterka, Michaela Chocholoušková, Robert Jirásko, Michal Holčapek

2021Bioinformatics14 citationsDOIOpen Access PDF

Abstract

SUMMARY: We present the LipidQuant 1.0 tool for automated data processing workflows in lipidomic quantitation based on lipid class separation coupled with high-resolution mass spectrometry. Lipid class separation workflows, such as hydrophilic interaction liquid chromatography or supercritical fluid chromatography, should be preferred in lipidomic quantitation due to the coionization of lipid class internal standards with analytes from the same class. The individual steps in the LipidQuant workflow are explained, including lipid identification, quantitation, isotopic correction and reporting results. We show the application of LipidQuant data processing to a small cohort of human serum samples. AVAILABILITY AND IMPLEMENTATION: The LipidQuant 1.0 is freely available at Zenodo https://doi.org/10.5281/zenodo.5151201 and https://holcapek.upce.cz/lipidquant.php. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Topics & Concepts

WorkflowMass spectrometryChromatographyLipidomicsComputer scienceLiquid chromatography–mass spectrometryClass (philosophy)AnalyteSeparation (statistics)ChemistrySupercritical fluidDatabaseArtificial intelligenceMachine learningBiochemistryOrganic chemistryMetabolomics and Mass Spectrometry StudiesFatty Acid Research and HealthMass Spectrometry Techniques and Applications