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Developing a Lysosomal Panel for Biomarker Discovery in Neurodegenerative Diseases Using PRM

机译:使用PRM在神经退行性疾病中开发溶酶体溶酶体面板

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Here we present the development of a PRM method by identifying a target panel of proteins representing an intracellular biological system and setting up a scheduled targeted MS/MS method for quantitation of these proteins. Protein identification was performed by using nano-HPLC MS/MS. Two methods for selecting precursor ions were compared; a combination of least and most intense ions inclusion methods and a sandwich method. The two methods resulted in the identification of a similar set of proteins. However, the number of peptides identified was exceedingly higher using a combination of the least and most intense ions methods. The drawback of this approach is the necessary two injections and separations of the sample. From the least and most intense ions methods we identified a set of 16 relevant proteins and selected 38 proteotypic tryptic peptides. Isotope labeled peptides corresponding to the selected tryptic peptides was acquired and used to develop a micro-HPLC scheduled targeted MS/MS method. Suitable fragment ions were identified and used for monitoring the repeatability from injection to injection for tryptic and isotope labeled peptides. Also four different methods for digestion of cerebrospinal fluid were compared. The tryptic fragment ion peak areas generated were overall less using 50 and 100μL cerebrospinal fluid and the SMART digest kit as compared to using 100μL cerebrospinal fluid and trypsin or trypsin/LysC for digestion. Fragment ion peak areas of the isotope labeled peptides were slightly higher for the SMART 50 group. In part this might explain the low ratio and higher variability for digesting 50μL cerebrospinal fluid with the SMART digest kit. Reduction and alkylation was not part of procedure for preparing the SMART digest samples, therefore peptides including cysteines were excluded from SMART digest samples in the analysis. Overall the lowest variation for the peptides included in the method, in regard to the ratio of tryptic to isotope labeled peptide, was achieved using trypsin and trypsin/LysC. However, the variation was peptide dependent. Any of the methods employed for digestion could likely be further optimized to improve the repeatability of single or several peptides. The difficulty exists in having one optimal digestion method for digesting such a diverse array of proteins. We are currently moving forward to utilize the developed method to explore the level of the Endo-Lysosomal panel of proteins in several case-control cohorts.
机译:在这里,我们通过鉴定代表细胞内生物学系统的蛋白质的靶面板和设置用于定量这些蛋白质的预定靶向MS / MS方法的蛋白质的靶面板呈现PRM方法的发展。通过使用纳米-HPLC MS / MS进行蛋白质鉴定。比较两种选择前体离子的方法;最多和最强烈的离子夹杂物方法和三明治法的组合。这两种方法导致鉴定类似一组蛋白质。然而,使用最少和最强烈的离子方法的组合,鉴定的肽的数量非常高。这种方法的缺点是样品的必要的两个注射和分离。从最少和最强烈的离子方法中,我们鉴定了一组16种相关蛋白质,并选择了38种蛋白质胰蛋白酶肽。获得对应于所选胰蛋白酶肽的同位素标记的肽,并用于开发微型HPLC调度的靶向MS / MS方法。鉴定出合适的片段离子并用于监测注射注射到胰蛋白酶和同位素标记肽的重复性。还比较了四种不同的消化脑脊液方法。与使用100μL脑脊液和胰蛋白酶或胰蛋白酶/胰蛋白酶/ Lysc进行消化相比,使用50和100μl脑脊液和智能蒸发试剂盒产生的胰蛋白酶片段离子峰面积较少。对于智能50组,标记肽的片片离子峰面积略高。部分可以解释用智能摘要套件消化50μl脑脊液的低比率和更高的变化。还原和烷基化不是制备智能消化样品的方法的一部分,因此在分析中的智能消化样品中排除了包括半胱氨酸的肽。总的来说,通过胰蛋白酶和胰蛋白酶/溶液,实现了该方法中包含的方法中包含的肽的最低变异,关于标记肽的同位素的比例。然而,变异是肽依赖性的。可以进一步优化用于消化的任何用于消化的方法以改善单一或几种肽的可重复性。具有一种最佳消化方法的难度存在用于消化这种多种蛋白质阵列。我们目前正在向前发展,利用开发的方法来探讨几种案例控制队列中蛋白质内溶酶体面板的水平。

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