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Lipidomic 'Deep Profiling': An Enhanced Workflow to Reveal New Molecular Species of Signaling Lipids

机译:脂质组学“深度分析”:增强的工作流程,可揭示信号脂质的新分子种类

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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.
机译:当前基于质谱的脂质组学旨在全面涵盖各种脂质类别。我们引入了一种捕获磷酸单酯脂质并改善对长链碱性磷酸酯(LCB-Ps,例如鞘氨醇-1-磷酸)的检测的策略。发现了十种新型LCB-P(d18:2,t20:1,奇碳形式),并在人和小鼠的组织中以及黑腹果蝇和酿酒酵母中进行了表征。这些发现与我们对1-磷酸鞘氨醇的生物合成,信号传导和降解的理解具有直接的关联。

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