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Investigating Global Lipidome Alterations with the Lipid Network Explorer
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 pathwa...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8398636/ https://www.ncbi.nlm.nih.gov/pubmed/34436429 http://dx.doi.org/10.3390/metabo11080488 |
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author | Köhler, Nikolai Rose, Tim Daniel Falk, Lisa Pauling, Josch Konstantin |
author_facet | Köhler, Nikolai Rose, Tim Daniel Falk, Lisa Pauling, Josch Konstantin |
author_sort | Köhler, Nikolai |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8398636 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-83986362021-08-29 Investigating Global Lipidome Alterations with the Lipid Network Explorer Köhler, Nikolai Rose, Tim Daniel Falk, Lisa Pauling, Josch Konstantin Metabolites Article 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. MDPI 2021-07-28 /pmc/articles/PMC8398636/ /pubmed/34436429 http://dx.doi.org/10.3390/metabo11080488 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Köhler, Nikolai Rose, Tim Daniel Falk, Lisa Pauling, Josch Konstantin Investigating Global Lipidome Alterations with the Lipid Network Explorer |
title | Investigating Global Lipidome Alterations with the Lipid Network Explorer |
title_full | Investigating Global Lipidome Alterations with the Lipid Network Explorer |
title_fullStr | Investigating Global Lipidome Alterations with the Lipid Network Explorer |
title_full_unstemmed | Investigating Global Lipidome Alterations with the Lipid Network Explorer |
title_short | Investigating Global Lipidome Alterations with the Lipid Network Explorer |
title_sort | investigating global lipidome alterations with the lipid network explorer |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8398636/ https://www.ncbi.nlm.nih.gov/pubmed/34436429 http://dx.doi.org/10.3390/metabo11080488 |
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