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Lipidomic “Deep Profiling”: An Enhanced Workflow to Reveal New Molecular Species of Signaling Lipids
Department of Biological Sciences, National University of Singapore, 117543, Singapore, Singapore.
Malmö högskola, Faculty of Health and Society (HS), Department of Biomedical Science (BMV). Institute of Environmental Research (INFU), Faculty of Chemistry, Technical University of Dortmund, Dortmund 44227, Germany.ORCID iD: 0000-0001-9460-0936
Institute of Environmental Research (INFU), Faculty of Chemistry, Technical University of Dortmund, Dortmund 44227, Germany.
School of Biological Sciences, Nanyang Technological University, 637551, Singapore, Singapore.
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2014 (English)In: Analytical Chemistry, ISSN 0003-2700, E-ISSN 1520-6882, Vol. 86, no 6, p. 3043-3047Article in journal (Refereed) Published
Abstract [en]

Current mass spectrometry-based lipidomics aims to comprehensively cover wide ranges of lipid classes. We introduce a strategy to capture phospho-monoester lipids and improve the detection of long-chain base phosphates (LCB-Ps, e.g., sphingosine-1-phosphate). Ten novel LCB-Ps (d18:2, t20:1, odd carbon forms) were discovered and characterized in tissues from human and mouse, as well in D. melanogaster and S. cerevisiae. These findings have immediate relevance for our understanding of sphingosine-1-phosphate biosynthesis, signaling, and degradation.

Place, publisher, year, edition, pages
American Chemical Society (ACS), 2014. Vol. 86, no 6, p. 3043-3047
National Category
Natural Sciences Bioinformatics and Systems Biology
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URN: urn:nbn:se:mau:diva-4256DOI: 10.1021/ac4039652ISI: 000333235700031PubMedID: 24533588Scopus ID: 2-s2.0-84896511361Local ID: 18392OAI: oai:DiVA.org:mau-4256DiVA, id: diva2:1401086
Available from: 2020-02-28 Created: 2020-02-28 Last updated: 2024-12-13Bibliographically approved

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Shinde, SudhirkumarSellergren, Börje

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