Steinbach Simone, Serschnitzki Bettina, Gerlach Manfred, Marcus Katrin, May Caroline
Medizinisches Proteom-Center, Ruhr-Universität Bochum, Bochum, Germany.
Center of Mental Health, Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital of Würzburg, University of Würzburg, Würzburg, Germany.
Data Brief. 2019 Mar 7;23:103711. doi: 10.1016/j.dib.2019.103711. eCollection 2019 Apr.
This article describes a mass spectrometric data set generated from human tissue that was spiked with iRT peptides. The data set can be used as a spectral library for analysis of the human brain; especially for analysis of human , for example, in the context of Parkinson's disease. Obtaining a sufficient amount of high-quality tissue is the key limiting factor for establishing a brain region-specific spectral library. Hence, combining existing spectral libraries for data-independent acquisition analysis (DIA) can overcome this major limitation. Moreover, these data can be used to map brain region-specific proteins and to model brain region-specific pathways. Both can improve our understanding of the functioning of the brain in greater depth. In addition, these data can also be used to determine the optimal settings for measuring proteins and peptides of interest. To create the -specific spectral library, the tissue was first homogenized and then fractionated different types of SDS gel electrophoresis, resulting in 18 fractions. These fractions were analysed in triplicate by nanoHPLC-ESI-MS/MS, resulting in 54 data files. The data files generated from the described workflow are hosted in the public repository ProteomeXchange with the identifier PXD011076.
本文描述了一个由添加了iRT肽的人体组织生成的质谱数据集。该数据集可作为用于分析人脑的光谱库；特别是用于例如在帕金森病背景下对人体的分析。获取足够数量的高质量组织是建立脑区特异性光谱库的关键限制因素。因此，结合现有的光谱库进行数据非依赖采集分析（DIA）可以克服这一主要限制。此外，这些数据可用于绘制脑区特异性蛋白质图谱并对脑区特异性通路进行建模。这两者都可以更深入地增进我们对大脑功能的理解。此外，这些数据还可用于确定测量感兴趣的蛋白质和肽的最佳设置。为了创建特异性光谱库，首先将组织匀浆，然后通过不同类型的SDS凝胶电泳进行分级分离，得到18个级分。这些级分通过纳升液相色谱-电喷雾串联质谱（nanoHPLC-ESI-MS/MS）进行三次重复分析，得到54个数据文件。从所述工作流程生成的数据文件保存在公共存储库ProteomeXchange中，标识符为PXD011076。
