Evidence for dynamically organized modularity in the yeast protein–protein interaction network
Jing-Dong J. Han,
Nicolas Bertin,
Tong Hao,
Debra S. Goldberg,
Gabriel F. Berriz,
Lan V. Zhang,
Denis Dupuy,
Albertha J. M. Walhout,
Michael E. Cusick,
Frederick P. Roth and
Marc Vidal ()
Additional contact information
Jing-Dong J. Han: Dana-Farber Cancer Institute, and Department of Genetics, Harvard Medical School
Nicolas Bertin: Dana-Farber Cancer Institute, and Department of Genetics, Harvard Medical School
Tong Hao: Dana-Farber Cancer Institute, and Department of Genetics, Harvard Medical School
Debra S. Goldberg: Harvard Medical School
Gabriel F. Berriz: Harvard Medical School
Lan V. Zhang: Harvard Medical School
Denis Dupuy: Dana-Farber Cancer Institute, and Department of Genetics, Harvard Medical School
Albertha J. M. Walhout: Dana-Farber Cancer Institute, and Department of Genetics, Harvard Medical School
Michael E. Cusick: Dana-Farber Cancer Institute, and Department of Genetics, Harvard Medical School
Frederick P. Roth: Harvard Medical School
Marc Vidal: Dana-Farber Cancer Institute, and Department of Genetics, Harvard Medical School
Nature, 2004, vol. 430, issue 6995, 88-93
Abstract:
Abstract In apparently scale-free protein–protein interaction networks, or ‘interactome’ networks1,2, most proteins interact with few partners, whereas a small but significant proportion of proteins, the ‘hubs’, interact with many partners. Both biological and non-biological scale-free networks are particularly resistant to random node removal but are extremely sensitive to the targeted removal of hubs1. A link between the potential scale-free topology of interactome networks and genetic robustness3,4 seems to exist, because knockouts of yeast genes5,6 encoding hubs are approximately threefold more likely to confer lethality than those of non-hubs1. Here we investigate how hubs might contribute to robustness and other cellular properties for protein–protein interactions dynamically regulated both in time and in space. We uncovered two types of hub: ‘party’ hubs, which interact with most of their partners simultaneously, and ‘date’ hubs, which bind their different partners at different times or locations. Both in silico studies of network connectivity and genetic interactions described in vivo support a model of organized modularity in which date hubs organize the proteome, connecting biological processes—or modules7 —to each other, whereas party hubs function inside modules.
Date: 2004
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DOI: 10.1038/nature02555
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