BioPAN: a web-based tool to explore mammalian lipidome metabolic pathways on LIPID MAPS [version 2; peer review: 3 approved]

Lipidomics increasingly describes the quantification using mass spectrometry of all lipids present in a biological sample.  As the power of lipidomics protocols increase, thousands of lipid molecular species from multiple categories can now be profiled in a single experiment.  Observed changes due t...

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Bibliographic Details
Published in:F1000 research Vol. 10; p. 4
Main Authors: Gaud, Caroline, C. Sousa, Bebiana, Nguyen, An, Fedorova, Maria, Ni, Zhixu, O'Donnell, Valerie B, Wakelam, Michael J.O, Andrews, Simon, Lopez-Clavijo, Andrea F
Format: Journal Article
Language:English
Published: London Faculty of 1000 Ltd 2021
F1000 Research Limited
F1000 Research Ltd
Subjects:
Datasets
Enzymes
Experiments
Fatty acids
Lipid metabolism
Lipids
Mammals
Mass spectroscopy
Metabolic pathways
Metabolism
Software
Software Tool
Statistical analysis
Biosynthetic pathway analysis
Lipidomics
lipids
lipid profiling
LIPID MAPS
ISSN:2046-1402, 2046-1402
Online Access:Get full text
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Summary:Lipidomics increasingly describes the quantification using mass spectrometry of all lipids present in a biological sample.  As the power of lipidomics protocols increase, thousands of lipid molecular species from multiple categories can now be profiled in a single experiment.  Observed changes due to biological differences often encompass large numbers of structurally-related lipids, with these being regulated by enzymes from well-known metabolic pathways.  As lipidomics datasets increase in complexity, the interpretation of their results becomes more challenging.  BioPAN addresses this by enabling the researcher to visualise quantitative lipidomics data in the context of known biosynthetic pathways.  BioPAN provides a list of genes, which could be involved in the activation or suppression of enzymes catalysing lipid metabolism in mammalian tissues.
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No competing interests were disclosed.
ISSN:2046-1402
2046-1402
DOI:10.12688/f1000research.28022.2