Shevchenko Anna, Roguev Assen, Schaft Daniel, Buchanan Luke, Habermann Bianca, Sakalar Cagri, Thomas Henrik, Krogan Nevan J, Shevchenko Andrej, Stewart A Francis
MPI of Molecular Cell Biology and Genetics, Pfotenhauerstrasse 108, 01307 Dresden, Germany.
Genome Biol. 2008;9(11):R167. doi: 10.1186/gb-2008-9-11-r167. Epub 2008 Nov 28.
Understanding the design logic of living systems requires the understanding and comparison of proteomes. Proteomes define the commonalities between organisms more precisely than genomic sequences. Because uncertainties remain regarding the accuracy of proteomic data, several issues need to be resolved before comparative proteomics can be fruitful.
The Saccharomyces cerevisiae proteome presents the highest quality proteomic data available. To evaluate the accuracy of these data, we intensively mapped a proteomic environment, termed 'Chromatin Central', which encompasses eight protein complexes, including the major histone acetyltransferases and deacetylases, interconnected by twelve proteomic hyperlinks. Using sequential tagging and a new method to eliminate background, we confirmed existing data but also uncovered new subunits and three new complexes, including ASTRA, which we suggest is a widely conserved aspect of telomeric maintenance, and two new variations of Rpd3 histone deacetylase complexes. We also examined the same environment in fission yeast and found a very similar architecture based on a scaffold of orthologues comprising about two-thirds of all proteins involved, whereas the remaining one-third is less constrained. Notably, most of the divergent hyperlinks were found to be due to gene duplications, hence providing a mechanism for the fixation of gene duplications in evolution.
We define several prerequisites for comparative proteomics and apply them to examine a proteomic environment in unprecedented detail. We suggest that high resolution mapping of proteomic environments will deliver the highest quality data for comparative proteomics.
理解生命系统的设计逻辑需要对蛋白质组进行理解和比较。蛋白质组比基因组序列更精确地定义了生物体之间的共性。由于蛋白质组学数据的准确性仍存在不确定性,在比较蛋白质组学取得丰硕成果之前,有几个问题需要解决。
酿酒酵母蛋白质组提供了现有最高质量的蛋白质组学数据。为了评估这些数据的准确性,我们深入绘制了一个蛋白质组环境,称为“染色质中心”,它包含八个蛋白质复合物,包括主要的组蛋白乙酰转移酶和去乙酰化酶,由十二个蛋白质组超链接相互连接。使用序列标记和一种消除背景的新方法,我们证实了现有数据,但也发现了新的亚基和三个新的复合物,包括ASTRA,我们认为它是端粒维持中广泛保守的一个方面,以及Rpd3组蛋白去乙酰化酶复合物的两个新变体。我们还研究了裂殖酵母中的相同环境,发现基于同源物支架的结构非常相似,该支架包含约三分之二的所有相关蛋白质,而其余三分之一的约束较少。值得注意的是,大多数不同的超链接被发现是由于基因重复,因此为进化中基因重复的固定提供了一种机制。
我们定义了比较蛋白质组学的几个先决条件,并将它们应用于以前所未有的细节研究蛋白质组环境。我们认为蛋白质组环境的高分辨率图谱将为比较蛋白质组学提供最高质量的数据。