Howson Russell, Huh Won-Ki, Ghaemmaghami Sina, Falvo James V, Bower Kiowa, Belle Archana, Dephoure Noah, Wykoff Dennis D, Weissman Jonathan S, O'Shea Erin K
Department of Biochemistry and Biophysics, Howard Hughes Medical Institute, University of California at San Francisco, 600 16th Street, Genentech Hall, San Francisco, CA 94143-2240, USA.
Comp Funct Genomics. 2005;6(1-2):2-16. doi: 10.1002/cfg.449.
A major challenge in the post-genomic era is the development of experimental approaches to monitor the properties of proteins on a proteome-wide level. It would be particularly useful to systematically assay protein subcellular localization, post-translational modifications and protein-protein interactions, both at steady state and in response to environmental stimuli. Development of new reagents and methods will enhance our ability to do so efficiently and systematically. Here we describe the construction of two collections of budding yeast strains that facilitate proteome-wide measurements of protein properties. These collections consist of strains with an epitope tag integrated at the C-terminus of essentially every open reading frame (ORF), one with the tandem affinity purification (TAP) tag, and one with the green fluorescent protein (GFP) tag. We show that in both of these collections we have accurately tagged a high proportion of all ORFs (approximately 75% of the proteome) by confirming expression of the fusion proteins. Furthermore, we demonstrate the use of the TAP collection in performing high-throughput immunoprecipitation experiments. Building on these collections and the methods described in this paper, we hope that the yeast community will expand both the quantity and type of proteome level data available.
后基因组时代的一个主要挑战是开发在全蛋白质组水平上监测蛋白质特性的实验方法。系统地检测蛋白质的亚细胞定位、翻译后修饰以及蛋白质-蛋白质相互作用,无论是在稳态还是对环境刺激的反应中,都将特别有用。新试剂和方法的开发将提高我们高效且系统地进行此类检测的能力。在此,我们描述了构建两组芽殖酵母菌株,以促进在全蛋白质组水平上对蛋白质特性的测量。这些菌株库包含几乎每个开放阅读框(ORF)的C末端都整合了一个表位标签的菌株,一组带有串联亲和纯化(TAP)标签,另一组带有绿色荧光蛋白(GFP)标签。通过确认融合蛋白的表达,我们表明在这两组菌株库中,我们已准确标记了所有ORF中的很大一部分(约占蛋白质组的75%)。此外,我们展示了利用TAP菌株库进行高通量免疫沉淀实验。基于这些菌株库以及本文所述的方法,我们希望酵母研究群体能够扩大可获得的蛋白质组水平数据的数量和类型。