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Characterization of the Mouse Brain Proteome Using Global Proteomic Analysis Complemented with Cysteinyl-Peptide Enrichment

机译:使用全局蛋白质组学分析与半胱氨酸肽富集互补对小鼠大脑蛋白质组进行表征。

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摘要

Given the growing interest in applying genomic and proteomic approaches for studying the mammalian brain using mouse models, we hereby present a global proteomic approach for analyzing brain tissue and for the first time a comprehensive characterization of the whole mouse brain proteome. Preparation of the whole brain sample incorporated a highly efficient cysteinyl-peptide enrichment (CPE) technique to complement a global enzymatic digestion method. Both the global and the cysteinyl-enriched peptide samples were analyzed by SCX fractionation coupled with reversed phase LC-MS/MS analysis. A total of 48,328 different peptides were confidently identified (>98% confidence level), covering 7792 non-redundant proteins (∼34% of the predicted mouse proteome). 1564 and 1859 proteins were identified exclusively from the cysteinyl-peptide and the global peptide samples, respectively, corresponding to 25% and 31% improvements in proteome coverage compared to analysis of only the global peptide or cysteinyl-peptide samples. The identified proteins provide a broad representation of the mouse proteome with little bias evident due to protein pI, molecular weight, and/or cellular localization. Approximately 26% of the identified proteins with gene ontology (GO) annotations were membrane proteins, with 1447 proteins predicted to have transmembrane domains, and many of the membrane proteins were found to be involved in transport and cell signaling. The MS/MS spectrum count information for the identified proteins was used to provide a measure of relative protein abundances. The mouse brain peptide/protein database generated from this study represents the most comprehensive proteome coverage for the mammalian brain to date, and the basis for future quantitative brain proteomic studies using mouse models. The proteomic approach presented here may have broad applications for rapid proteomic analyses of various mouse models of human brain diseases.
机译:鉴于对使用基因组学和蛋白质组学方法使用小鼠模型研究哺乳动物大脑的兴趣日益浓厚,我们特此提出一种用于分析脑组织的全球蛋白质组学方法,这是首次对整个小鼠脑蛋白质组进行全面表征。全脑样品的制备结合了高效的半胱氨酸肽富集(CPE)技术,以补充全球酶消化方法。通过SCX分级分离以及反相LC-MS / MS分析来分析整体和半胱氨酸富集的肽样品。总共确定地鉴定了48,328种不同的肽(> 98%的置信度),涵盖了7792个非冗余蛋白(约占预测的小鼠蛋白质组的34%)。仅从半胱氨酰肽和整体肽样品中分别鉴定出1564和1859种蛋白质,与仅对整体肽或半胱氨酰肽样品进行分析相比,相应的蛋白质组覆盖率提高了25%和31%。鉴定出的蛋白质提供了小鼠蛋白质组的广泛表示,几乎没有由于蛋白质pI,分子量和/或细胞定位引起的偏倚。大约有26%带有基因本体论(GO)注释的已鉴定蛋白是膜蛋白,其中1447个蛋白被预测具有跨膜结构域,并且发现许多膜蛋白都参与转运和细胞信号传导。已鉴定蛋白质的MS / MS光谱计数信息用于提供相对蛋白质丰度的度量。这项研究产生的小鼠脑肽/蛋白质数据库代表了迄今为止哺乳动物脑最全面的蛋白质组覆盖率,并且是未来使用小鼠模型进行定量脑蛋白质组研究的基础。本文介绍的蛋白质组学方法可广泛用于人类脑疾病的各种小鼠模型的蛋白质组分析。

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