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大规模蛋白质相互作用组学图谱绘制:策略与机遇。

Large-scale protein interactome mapping: strategies and opportunities.

机构信息

Department of Medical Protein Research, VIB, Albert Baertsoenkaai 3, 9000 Ghent, Belgium.

出版信息

Expert Rev Proteomics. 2010 Oct;7(5):679-90. doi: 10.1586/epr.10.30.

Abstract

Interactions between proteins are central to any cellular process, and mapping these into a protein network is informative both for the function of individual proteins and the functional organization of the cell as a whole. Many strategies have been developed that are up to this task, and the last 10 years have seen the high-throughput application of a number of those in large-scale, sometimes proteome-wide, interactome mapping efforts. Although initially the quality of the data produced in these screening campaigns has been questioned, quality standards and empirical validation schemes are now in place to ensure high-quality data generation. Through their integration with other 'omics' data, interactomics datasets have proven highly valuable towards applications in different areas of clinical importance.

摘要

蛋白质之间的相互作用是所有细胞过程的核心,将这些相互作用映射到蛋白质网络中,不仅可以了解单个蛋白质的功能,还可以了解整个细胞的功能组织。为此已经开发了许多策略,并且在过去的 10 年中,已经在大规模的、有时是整个蛋白质组范围内的相互作用组映射工作中应用了其中的许多策略。尽管最初人们对这些筛选实验产生的数据的质量提出了质疑,但现在已经制定了质量标准和经验验证方案,以确保生成高质量的数据。通过与其他“组学”数据的整合,相互作用组数据集已被证明在应用于具有临床重要性的不同领域方面非常有价值。

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