Why Do Hubs in the Yeast Protein Interaction Network Tend To Be Essential: Reexamining the Connection between the Network Topology and Essentiality

被引:302
作者
Zotenko, Elena [1 ]
Mestre, Julian [1 ]
O'Leary, Dianne P. [2 ,3 ]
Przytycka, Teresa M. [4 ]
机构
[1] Max Planck Inst Informat, Saarbrucken, Germany
[2] Univ Maryland, Dept Comp Sci, College Pk, MD 20742 USA
[3] Univ Maryland, Inst Adv Comp Studies, College Pk, MD 20742 USA
[4] NIH, Natl Ctr Biotechnol Informat, Natl Lib Med, Bethesda, MD 20892 USA
关键词
D O I
10.1371/journal.pcbi.1000140
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
The centrality-lethality rule, which notes that high-degree nodes in a protein interaction network tend to correspond to proteins that are essential, suggests that the topological prominence of a protein in a protein interaction network may be a good predictor of its biological importance. Even though the correlation between degree and essentiality was confirmed by many independent studies, the reason for this correlation remains illusive. Several hypotheses about putative connections between essentiality of hubs and the topology of protein-protein interaction networks have been proposed, but as we demonstrate, these explanations are not supported by the properties of protein interaction networks. To identify the main topological determinant of essentiality and to provide a biological explanation for the connection between the network topology and essentiality, we performed a rigorous analysis of six variants of the genomewide protein interaction network for Saccharomyces cerevisiae obtained using different techniques. We demonstrated that the majority of hubs are essential due to their involvement in Essential Complex Biological Modules, a group of densely connected proteins with shared biological function that are enriched in essential proteins. Moreover, we rejected two previously proposed explanations for the centrality-lethality rule, one relating the essentiality of hubs to their role in the overall network connectivity and another relying on the recently published essential protein interactions model.
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页数:16
相关论文
共 37 条
[1]   Error and attack tolerance of complex networks [J].
Albert, R ;
Jeong, H ;
Barabási, AL .
NATURE, 2000, 406 (6794) :378-382
[2]   Evolutionary and physiological importance of hub proteins [J].
Batada, Nizar N. ;
Hurst, Laurence D. ;
Tyers, Mike .
PLOS COMPUTATIONAL BIOLOGY, 2006, 2 (07) :748-756
[3]   Stratus not altocumulus: A new view of the yeast protein interaction network [J].
Batada, Nizar N. ;
Reguly, Teresa ;
Breitkreutz, Ashton ;
Boucher, Lorrie ;
Breitkreutz, Bobby-Joe ;
Hurst, Laurence D. ;
Tyers, Mike .
PLOS BIOLOGY, 2006, 4 (10) :1720-1731
[4]   FACTORING AND WEIGHTING APPROACHES TO STATUS SCORES AND CLIQUE IDENTIFICATION [J].
BONACICH, P .
JOURNAL OF MATHEMATICAL SOCIOLOGY, 1972, 2 (01) :113-120
[5]  
Brandes U., 2005, NETWORK ANAL METHODO
[6]  
CHESLER EJ, 2005, COMBINATORIAL GENETI, P150
[7]   Toward a comprehensive atlas of the physical interactome of Saccharomyces cerevisiae [J].
Collins, Sean R. ;
Kemmeren, Patrick ;
Zhao, Xue-Chu ;
Greenblatt, Jack F. ;
Spencer, Forrest ;
Holstege, Frank C. P. ;
Weissman, Jonathan S. ;
Krogan, Nevan J. .
MOLECULAR & CELLULAR PROTEOMICS, 2007, 6 (03) :439-450
[8]   Gene essentiality and the topology of protein interaction networks [J].
Coulomb, S ;
Bauer, M ;
Bernard, D ;
Marsolier-Kergoat, MC .
PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES, 2005, 272 (1573) :1721-1725
[9]   Protein interactions - Two methods for assessment of the reliability of high throughput observations [J].
Deane, CM ;
Salwinski, L ;
Xenarios, I ;
Eisenberg, D .
MOLECULAR & CELLULAR PROTEOMICS, 2002, 1 (05) :349-356
[10]   Subgraph centrality in complex networks -: art. no. 056103 [J].
Estrada, E ;
Rodríguez-Velázquez, JA .
PHYSICAL REVIEW E, 2005, 71 (05)