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Enhancing Identifications of Lipid-embedded Proteins by Mass Spectrometry for Improved Mapping of Endothelial Plasma Membranes in Vivo

机译:通过质谱增强脂质包埋的蛋白质的鉴定,以改善体内内皮血浆膜的定位

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摘要

Lipid membranes structurally define the outer surface and internal organelles of cells. The multitude of proteins embedded in lipid bilayers are clearly functionally important, yet they remain poorly defined. Even today, integral membrane proteins represent a special challenge for current large scale shotgun proteomics methods. Here we used endothelial cell plasma membranes isolated directly from lung tissue to test the effectiveness of four different mass spectrometry-based methods, each with multiple replicate measurements, to identify membrane proteins. In doing so, we substantially expanded this membranome to 1,833 proteins, including >500 lipid-embedded proteins. The best method combined SDS-PAGE prefractionation with trypsin digestion of gel slices to generate peptides for seamless and continuous two-dimensional LC/MS/MS analysis. This three-dimensional separation method outperformed current widely used two-dimensional methods by significantly enhancing protein identifications including single and multiple pass transmembrane proteins; >30% are lipid-embedded proteins. It also profoundly improved protein coverage, sensitivity, and dynamic range of detection and substantially reduced the amount of sample and the number of replicate mass spectrometry measurements required to achieve 95% analytical completeness. Such expansion in comprehensiveness requires a trade-off in heavy instrument time but bodes well for future advancements in truly defining the ever important membranome with its potential in network-based systems analysis and the discovery of disease biomarkers and therapeutic targets. This analytical strategy can be applied to other subcellular fractions and should extend the comprehensiveness of many future organellar proteomics pursuits.
机译:脂质膜在结构上限定细胞的外表面和内部细胞器。嵌入脂质双分子层中的多种蛋白质显然在功能上很重要,但它们的定义仍然不明确。即使在今天,完整的膜蛋白也代表了当前大规模shot弹枪蛋白质组学方法面临的特殊挑战。在这里,我们使用直接从肺组织分离的内皮细胞质膜来测试四种基于质谱的方法的有效性,每种方法均进行多次重复测量,以鉴定膜蛋白。为此,我们将该膜组实质上扩展为1,833个蛋白质,包括> 500个脂质嵌入的蛋白质。最好的方法是将SDS-PAGE预分离与凝胶切片的胰蛋白酶消化相结合,生成用于无缝和连续二维LC / MS / MS分析的肽。这种三维分离方法通过显着增强包括单程和多程跨膜蛋白在内的蛋白鉴定,从而优于目前广泛使用的二维方法。脂质包埋的蛋白质> 30%。它还极大地提高了蛋白质的覆盖率,灵敏度和动态检测范围,并大大减少了达到95%分析完整性所需的样品量和重复质谱测量的次数。这种全面的扩展需要在繁重的仪器时间上进行权衡,但预示着其在基于网络的系统分析中的潜力以及疾病生物标志物和治疗靶标的发现潜力的真正定义日益重要的膜组的未来发展。这种分析策略可应用于其他亚细胞部分,并应扩展许多未来细胞器蛋白质组学研究的全面性。

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