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通过鸟枪法脂质组学对酵母突变体文库进行高内涵筛选。

High-content screening of yeast mutant libraries by shotgun lipidomics.

作者信息

Tarasov Kirill, Stefanko Adam, Casanovas Albert, Surma Michal A, Berzina Zane, Hannibal-Bach Hans Kristian, Ekroos Kim, Ejsing Christer S

机构信息

Zora Biosciences Oy, Biologinkuja 1, FI-02150 Espoo, Finland.

出版信息

Mol Biosyst. 2014 Jun;10(6):1364-76. doi: 10.1039/c3mb70599d. Epub 2014 Mar 31.

Abstract

To identify proteins with a functional role in lipid metabolism and homeostasis we designed a high-throughput platform for high-content lipidomic screening of yeast mutant libraries. To this end, we combined culturing and lipid extraction in 96-well format, automated direct infusion nanoelectrospray ionization, high-resolution Orbitrap mass spectrometry, and a dedicated data processing framework to support lipid phenotyping across hundreds of Saccharomyces cerevisiae mutants. Our novel approach revealed that the absence of genes with unknown function YBR141C and YJR015W, and the transcription factor KAR4 precipitated distinct lipid metabolic phenotypes. These results demonstrate that the high-throughput shotgun lipidomics platform is a valid and complementary proxy for high-content screening of yeast mutant libraries.

摘要

为了鉴定在脂质代谢和稳态中具有功能作用的蛋白质,我们设计了一个高通量平台,用于对酵母突变体文库进行高内涵脂质组学筛选。为此,我们将96孔板形式的培养和脂质提取、自动直接进样纳电喷雾电离、高分辨率轨道阱质谱以及一个专门的数据处理框架相结合,以支持对数百个酿酒酵母突变体进行脂质表型分析。我们的新方法表明,功能未知的基因YBR141C和YJR015W以及转录因子KAR4的缺失会导致不同的脂质代谢表型。这些结果表明,高通量鸟枪法脂质组学平台是对酵母突变体文库进行高内涵筛选的有效且互补的替代方法。

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