BioPAN: a web-based tool to explore mammalian lipidome metabolic pathways on LIPID MAPS [version 2; peer review: 3 approved]
Caroline Gaud,
Bebiana C. Sousa,
An Nguyen,
Maria Fedorova,
Zhixu Ni,
Valerie B. O’Donnell,
Michael J.O. Wakelam,
Simon Andrews,
Andrea F. Lopez-Clavijo
Affiliations
Caroline Gaud
Bioinformatics Group, Babraham Institute, Babraham Research Campus, Cambridge, CB22 3AT, UK
Bebiana C. Sousa
Lipidomics facility, Babraham Institute, Babraham Research Campus, Cambridge, CB22 3AT, UK
An Nguyen
Bioinformatics Group, Babraham Institute, Babraham Research Campus, Cambridge, CB22 3AT, UK
Maria Fedorova
Institute of Bioanalytical Chemistry, Faculty of Chemistry and Mineralogy, Center for Biotechnology and Biomedicine, Universität Leipzig, Leipzig, 04109, Germany
Zhixu Ni
Institute of Bioanalytical Chemistry, Faculty of Chemistry and Mineralogy, Center for Biotechnology and Biomedicine, Universität Leipzig, Leipzig, 04109, Germany
Valerie B. O’Donnell
Systems Immunity Research Institute, School of Medicine, Cardiff University, Cardiff, CF14 4XN, UK
Michael J.O. Wakelam
Lipidomics facility, Babraham Institute, Babraham Research Campus, Cambridge, CB22 3AT, UK
Simon Andrews
Bioinformatics Group, Babraham Institute, Babraham Research Campus, Cambridge, CB22 3AT, UK
Andrea F. Lopez-Clavijo
Lipidomics facility, Babraham Institute, Babraham Research Campus, Cambridge, CB22 3AT, UK
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.
