Sanderson Christopher M
Department of Physiology, School of Biomedical Sciences, University of Liverpool, Liverpool, L69 3BX, United Kingdom.
Genome Res. 2008 Apr;18(4):517-20. doi: 10.1101/gr.074583.107.
Eukaryotic genomes encode large numbers of proteins that are either secreted or have exposed extracellular domains. It is highly likely that these proteins facilitate many important biological processes: however, as yet, most remain uncharacterized. Progress in this area of research has been impaired by the lack of a robust screening system that can be used to investigate interactions between large numbers of different extracellular proteins. In this issue, Bushell et al. introduce AVEXIS (avidity-based extracellular interaction screen), a high-throughput screening procedure, which can be used to identify even weak extracellular protein interactions with extremely high confidence. This assay represents an important development in the field of network biology. By combining data from the AVEXIS system with data produced by classical or variant yeast two-hybrid methods, it will be possible to assemble binary protein interaction networks that connect extracellular and intracellular processes. This information will dramatically increase our ability to understand a wide range of physiological processes and facilitate the development of better therapeutic strategies.
真核生物基因组编码大量蛋白质,这些蛋白质要么是分泌型的,要么具有暴露的细胞外结构域。极有可能的是,这些蛋白质促进了许多重要的生物学过程:然而,迄今为止,大多数蛋白质仍未得到表征。由于缺乏一个强大的筛选系统来研究大量不同细胞外蛋白质之间的相互作用,该领域的研究进展受到了阻碍。在本期杂志中,布什尔等人介绍了基于亲和力的细胞外相互作用筛选(AVEXIS),这是一种高通量筛选程序,可用于以极高的置信度识别即使是微弱的细胞外蛋白质相互作用。该检测方法代表了网络生物学领域的一项重要进展。通过将AVEXIS系统的数据与经典或变体酵母双杂交方法产生的数据相结合,将有可能构建连接细胞外和细胞内过程的二元蛋白质相互作用网络。这些信息将极大地提高我们理解广泛生理过程的能力,并促进更好治疗策略的开发。