蛋白质组规模的人类相互作用组学
Proteome-Scale Human Interactomics.
作者信息
Luck Katja, Sheynkman Gloria M, Zhang Ivy, Vidal Marc
机构信息
Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA 02215, USA; Department of Genetics, Harvard Medical School, Boston, MA 02115, USA; Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA.
Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA 02215, USA; Department of Genetics, Harvard Medical School, Boston, MA 02115, USA; Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA.
出版信息
Trends Biochem Sci. 2017 May;42(5):342-354. doi: 10.1016/j.tibs.2017.02.006. Epub 2017 Mar 8.
Cellular functions are mediated by complex interactome networks of physical, biochemical, and functional interactions between DNA sequences, RNA molecules, proteins, lipids, and small metabolites. A thorough understanding of cellular organization requires accurate and relatively complete models of interactome networks at proteome scale. The recent publication of four human protein-protein interaction (PPI) maps represents a technological breakthrough and an unprecedented resource for the scientific community, heralding a new era of proteome-scale human interactomics. Our knowledge gained from these and complementary studies provides fresh insights into the opportunities and challenges when analyzing systematically generated interactome data, defines a clear roadmap towards the generation of a first reference interactome, and reveals new perspectives on the organization of cellular life.
细胞功能由DNA序列、RNA分子、蛋白质、脂质和小分子代谢物之间物理、生化及功能相互作用的复杂相互作用组网络介导。要全面了解细胞组织，需要蛋白质组规模的相互作用组网络的准确且相对完整的模型。最近发表的四张人类蛋白质-蛋白质相互作用（PPI）图谱代表了一项技术突破，为科学界提供了前所未有的资源，预示着蛋白质组规模人类相互作用组学的新时代。我们从这些研究以及补充研究中获得的知识，为系统分析生成的相互作用组数据时的机遇与挑战提供了新见解，为生成首个参考相互作用组明确了路线图，并揭示了细胞生命组织的新观点。
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