Mass-spectrometry-based draft of the human proteome
Mass-spectrometry-based draft of the human proteome
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DOI：
10.1038/nature13319
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发表时间：
2014-05-29
期刊：
影响因子：
64.8
通讯作者：
Kuster, Bernhard
中科院分区：
文献类型：
--
作者：
Wilhelm, Mathias;Schlegl, Judith;Kuster, Bernhard
蛋白质组的特点是蛋白质丰度差异大，细胞类型和时间依赖的表达模式以及翻译后修饰，所有这些都携带基因组学或转录组学无法获得的生物信息。在这里，我们提出了一个基于质谱学的人类蛋白质组草稿和一个公共的、高性能的内存数据库，用于实时分析兆兆字节的大数据，称为ProteomicsDB。从人类组织、细胞系和体液中收集的信息使人们能够估计编码蛋白质的基因组的大小，并识别出器官特有的蛋白质和大量翻译的lincRNAs(长的基因间非编码RNAs)。对人体组织信使RNA和蛋白质表达谱的分析显示，蛋白质丰度的保守控制，以及药物敏感性数据的整合，使识别预测耐药性或敏感性的蛋白质成为可能。蛋白质组图谱在分析蛋白质复合体的组成和化学计量学方面也有相当大的希望。因此，ProteomicsDB能够导航蛋白质组，提供生物洞察力，并促进蛋白质组技术的发展。
Proteomes are characterized by large protein-abundance differences, cell-type- and time-dependent expression patterns and post-translational modifications, all of which carry biological information that is not accessible by genomics or transcriptomics. Here we present a mass-spectrometry-based draft of the human proteome and a public, high-performance, in-memory database for real-time analysis of terabytes of big data, called ProteomicsDB. The information assembled from human tissues, cell lines and body fluids enabled estimation of the size of the protein-coding genome, and identified organ-specific proteins and a large number of translated lincRNAs (long intergenic non-coding RNAs). Analysis of messenger RNA and protein-expression profiles of human tissues revealed conserved control of protein abundance, and integration of drug-sensitivity data enabled the identification of proteins predicting resistance or sensitivity. The proteome profiles also hold considerable promise for analysing the composition and stoichiometry of protein complexes. ProteomicsDB thus enables navigation of proteomes, provides biological insight and fosters the development of proteomic technology.