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Identification of brain-enriched proteins in the cerebrospinal fluid proteome by LC-MS/MS profiling and mining of the Human Protein Atlas

机译:通过LC-MS / MS分析和MARAL ATLA的脑脊液蛋白质组中脑富集蛋白质的鉴定

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Background: Cerebrospinal fluid (CSF) is a proximal fluid which communicates closely with brain tissue, contains numerous brain-derived proteins and thus represents a promising fluid for discovery of biomarkers of central nervous system (CNS) diseases. The main purpose of this study was to generate an extensive CSF proteome and define brainrelated proteins identified in CSF, suitable for development of diagnostic assays. Methods: Six non-pathological CSF samples from three female and three male individuals were selected for CSF analysis. Samples were first subjected to strong cation exchange chromatography, followed by LC-MS/MS analysis. Secreted and membrane-bound proteins enriched in the brain tissues were retrieved from the Human Protein Atlas. Results: In total, 2615 proteins were identified in the CSF. The number of proteins identified per individual sample ranged from 1109 to 1421, with inter-individual variability between six samples of 21 %. Based on the Human Protein Atlas, 78 brain-specific proteins found in CSF samples were proposed as a signature of brain-enriched proteins in CSF. Conclusion: A combination of Human Protein Atlas database and experimental search of proteins in specific body fluid can be applied as an initial step in search for disease biomarkers specific for a particular tissue. This signature may be of significant interest for development of novel diagnostics of CNS diseases and identification of drug targets.
机译:背景:脑脊髓液(CSF)是与脑组织紧密连通的近端流体,含有许多脑衍生的蛋白质,因此代表了用于发现中枢神经系统(CNS)疾病的生物标志物的有希望的液体。本研究的主要目的是产生广泛的CSF蛋白质组,并定义CSF中鉴定的脑鞘化蛋白质,适合于诊断测定的发展。方法:选择来自三个雌性的六个非病理CSF样品和三个雄性个体进行CSF分析。首先对样品进行强阳离子交换色谱,然后进行LC-MS / MS分析。从人蛋白地图集检出富含脑组织中的分泌和膜结合蛋白。结果:CSF中鉴定了总共2615个蛋白质。每个单独样品鉴定的蛋白质数量为1109至1421,在六个样本之间具有间间可变性,21%。基于人蛋白质阿特拉斯,提出了CSF样品中的78名脑特异性蛋白质作为CSF中富含脑富集的蛋白质的签名。结论:人蛋白质地图集数据库的组合和特定体液中蛋白质的实验搜索可以作为寻找特定组织特异性疾病生物标志物的初始步骤。这种签名对于开发CNS疾病的新诊断和药物目标的鉴定可能具有重要兴趣。

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