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Investigating Global Lipidome Alterations with the Lipid Network Explorer

LipiTUM, Chair of Experimental Bioinformatics, TUM School of Life Sciences, Technical University of Munich, 85354 Freising, Germany
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Academic Editor: Hunter N. B. Moseley
Metabolites 2021, 11(8), 488; https://doi.org/10.3390/metabo11080488
Received: 6 July 2021 / Revised: 26 July 2021 / Accepted: 27 July 2021 / Published: 28 July 2021
(This article belongs to the Special Issue Computational Strategies in Metabolite Research)
Lipids play an important role in biological systems and have the potential to serve as biomarkers in medical applications. Advances in lipidomics allow identification of hundreds of lipid species from biological samples. However, a systems biological analysis of the lipidome, by incorporating pathway information remains challenging, leaving lipidomics behind compared to other omics disciplines. An especially uncharted territory is the integration of statistical and network-based approaches for studying global lipidome changes. Here we developed the Lipid Network Explorer (LINEX), a web-tool addressing this gap by providing a way to visualize and analyze functional lipid metabolic networks. It utilizes metabolic rules to match biochemically connected lipids on a species level and combine it with a statistical correlation and testing analysis. Researchers can customize the biochemical rules considered, to their tissue or organism specific analysis and easily share them. We demonstrate the benefits of combining network-based analyses with statistics using publicly available lipidomics data sets. LINEX facilitates a biochemical knowledge-based data analysis for lipidomics. It is availableas a web-application and as a publicly available docker container. View Full-Text
Keywords: computational lipidomics; computational systems biology; network biology; bioinformatics; lipidomics; lipids; metabolic networks computational lipidomics; computational systems biology; network biology; bioinformatics; lipidomics; lipids; metabolic networks
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MDPI and ACS Style

Köhler, N.; Rose, T.D.; Falk, L.; Pauling, J.K. Investigating Global Lipidome Alterations with the Lipid Network Explorer. Metabolites 2021, 11, 488. https://doi.org/10.3390/metabo11080488

AMA Style

Köhler N, Rose TD, Falk L, Pauling JK. Investigating Global Lipidome Alterations with the Lipid Network Explorer. Metabolites. 2021; 11(8):488. https://doi.org/10.3390/metabo11080488

Chicago/Turabian Style

Köhler, Nikolai, Tim D. Rose, Lisa Falk, and Josch K. Pauling 2021. "Investigating Global Lipidome Alterations with the Lipid Network Explorer" Metabolites 11, no. 8: 488. https://doi.org/10.3390/metabo11080488

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