Lee Sang Hoon, Kim Pan-Jun, Jeong Hawoong
IceLab, Department of Physics, Umeå University, 901 87 Umeå, Sweden.
BMC Syst Biol. 2011 Aug 15;5:126. doi: 10.1186/1752-0509-5-126.
Proteins in organisms, rather than act alone, usually form protein complexes to perform cellular functions. We analyze the topological network structure of protein complexes and their component proteins in the budding yeast in terms of the bipartite network and its projections, where the complexes and proteins are its two distinct components. Compared to conventional protein-protein interaction networks, the networks from the protein complexes show more homogeneous structures than those of the binary protein interactions, implying the formation of complexes that cause a relatively more uniform number of interaction partners. In addition, we suggest a new optimization method to determine the abundance and function of protein complexes, based on the information of their global organization. Estimating abundance and biological functions is of great importance for many researches, by providing a quantitative description of cell behaviors, instead of just a "catalogues" of the lists of protein interactions.
With our new optimization method, we present genome-wide assignments of abundance and biological functions for complexes, as well as previously unknown abundance and functions of proteins, which can provide significant information for further investigations in proteomics. It is strongly supported by a number of biologically relevant examples, such as the relationship between the cytoskeleton proteins and signal transduction and the metabolic enzyme Eno2's involvement in the cell division process.
We believe that our methods and findings are applicable not only to the specific area of proteomics, but also to much broader areas of systems biology with the concept of optimization principle.
生物体中的蛋白质通常并非单独发挥作用,而是形成蛋白质复合物来执行细胞功能。我们从二分网络及其投影的角度分析了芽殖酵母中蛋白质复合物及其组成蛋白质的拓扑网络结构,其中复合物和蛋白质是其两个不同的组成部分。与传统的蛋白质-蛋白质相互作用网络相比,蛋白质复合物形成的网络结构比二元蛋白质相互作用的网络结构更均匀,这意味着复合物的形成导致相互作用伙伴数量相对更均匀。此外,我们基于蛋白质复合物的全局组织信息,提出了一种新的优化方法来确定其丰度和功能。估计丰度和生物学功能对于许多研究非常重要,因为它能提供细胞行为的定量描述,而不仅仅是蛋白质相互作用列表的“目录”。
通过我们的新优化方法,我们给出了复合物丰度和生物学功能的全基因组分配,以及蛋白质以前未知的丰度和功能,这可为蛋白质组学的进一步研究提供重要信息。这得到了许多生物学相关实例的有力支持,如细胞骨架蛋白与信号转导之间的关系以及代谢酶Eno2参与细胞分裂过程。
我们相信我们的方法和发现不仅适用于蛋白质组学的特定领域,而且适用于基于优化原理概念的更广泛的系统生物学领域。