Kislinger Thomas, Rahman Khaled, Radulovic Dragan, Cox Brian, Rossant Janet, Emili Andrew
Program in Proteomics and Bioinformatics, Banting and Best Department of Medical Research, University of Toronto, Toronto, Ontario M5G 1L6, Canada.
Mol Cell Proteomics. 2003 Feb;2(2):96-106. doi: 10.1074/mcp.M200074-MCP200. Epub 2003 Feb 10.
We have developed a systematic analytical approach, termed PRISM (Proteomic Investigation Strategy for Mammals), that permits routine, large scale protein expression profiling of mammalian cells and tissues. PRISM combines subcellular fractionation, multidimensional liquid chromatography-tandem mass spectrometry-based protein shotgun sequencing, and two newly developed computer algorithms, STATQUEST and GOClust, as a means to rapidly identify, annotate, and categorize thousands of expressed mammalian proteins. The application of PRISM to adult mouse lung and liver resulted in the high confidence identification of over 2,100 unique proteins including more than 100 integral membrane proteins, 400 nuclear proteins, and 500 uncharacterized proteins, the largest proteome study carried out to date on this important model organism. Automated clustering of the identified proteins into Gene Ontology annotation groups allowed for streamlined analysis of the large data set, revealing interesting and physiologically relevant patterns of tissue and organelle specificity. PRISM therefore offers an effective platform for in-depth investigation of complex mammalian proteomes.
我们开发了一种系统分析方法,称为PRISM(哺乳动物蛋白质组学研究策略),该方法可对哺乳动物细胞和组织进行常规的大规模蛋白质表达谱分析。PRISM结合了亚细胞分级分离、基于多维液相色谱-串联质谱的蛋白质鸟枪法测序以及两种新开发的计算机算法STATQUEST和GOClust,作为快速鉴定、注释和分类数千种表达的哺乳动物蛋白质的手段。将PRISM应用于成年小鼠的肺和肝脏,使得能够高度可靠地鉴定出2100多种独特蛋白质,包括100多种整合膜蛋白、400种核蛋白和500种未表征蛋白质,这是迄今为止对这种重要模式生物进行的最大规模蛋白质组研究。将鉴定出的蛋白质自动聚类到基因本体注释组中,有助于对大数据集进行简化分析,揭示出组织和细胞器特异性的有趣且与生理相关的模式。因此,PRISM为深入研究复杂的哺乳动物蛋白质组提供了一个有效平台。