Cancer Missense Mutations Alter Binding Properties of Proteins and Their Interaction Networks

被引:80
作者
Nishi, Hafumi [1 ]
Tyagi, Manoj [2 ]
Teng, Shaolei [3 ]
Shoemaker, Benjamin A. [1 ]
Hashimoto, Kosuke [4 ]
Alexov, Emil [3 ]
Wuchty, Stefan [1 ]
Panchenko, Anna R. [1 ]
机构
[1] NIH, Natl Ctr Biotechnol Informat, Natl Lib Med, Bethesda, MD 20892 USA
[2] Washington Univ, Sch Med, Dept Genet, St Louis, MO 63110 USA
[3] Clemson Univ, Dept Phys, Clemson, SC USA
[4] RIKEN, Omics Sci Ctr, Yokohama, Kanagawa, Japan
来源
PLOS ONE | 2013年 / 8卷 / 06期
基金
美国国家卫生研究院; 日本学术振兴会;
关键词
HOT-SPOTS; PHOSPHORYLATION SITES; SIGNALING PATHWAYS; CRYSTAL-STRUCTURE; DRIVER MUTATIONS; PREDICTION; STABILITY; DISEASE; SERVER; IDENTIFICATION;
D O I
10.1371/journal.pone.0066273
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Many studies have shown that missense mutations might play an important role in carcinogenesis. However, the extent to which cancer mutations might affect biomolecular interactions remains unclear. Here, we map glioblastoma missense mutations on the human protein interactome, model the structures of affected protein complexes and decipher the effect of mutations on protein-protein, protein-nucleic acid and protein-ion binding interfaces. Although some missense mutations over-stabilize protein complexes, we found that the overall effect of mutations is destabilizing, mostly affecting the electrostatic component of binding energy. We also showed that mutations on interfaces resulted in more drastic changes of amino acid physico-chemical properties than mutations occurring outside the interfaces. Analysis of glioblastoma mutations on interfaces allowed us to stratify cancer-related interactions, identify potential driver genes, and propose two dozen additional cancer biomarkers, including those specific to functions of the nervous system. Such an analysis also offered insight into the molecular mechanism of the phenotypic outcomes of mutations, including effects on complex stability, activity, binding and turnover rate. As a result of mutated protein and gene network analysis, we observed that interactions of proteins with mutations mapped on interfaces had higher bottleneck properties compared to interactions with mutations elsewhere on the protein or unaffected interactions. Such observations suggest that genes with mutations directly affecting protein binding properties are preferably located in central network positions and may influence critical nodes and edges in signal transduction networks.
引用
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页数:10
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