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High-Quality Binary Protein Interaction Map of the Yeast Interactome Network

2008; American Association for the Advancement of Science; Volume: 322; Issue: 5898 Linguagem: Inglês

10.1126/science.1158684

1095-9203

Haiyuan Yu, Pascal Braun, Muhammed A. Yıldırım, Irma Lemmens, K. Venkatesan, Julie M. Sahalie, Tomoko Hirozane-Kishikawa, Fana Gebreab, Na Li, Nicolas Simonis, Tong Hao, Jean‐François Rual, Amélie Dricot, Alexei Vázquez, Ryan R. Murray, Christophe Simon, Leah Tardivo, Stanley Tam, Nenad Svrzikapa, Changyu Fan, A. De Smet, Adriana Motyl, Michael E. Hudson, Juyong Park, Xiaofeng Xin, Michael E. Cusick, Troy Moore, Charlie Boone, M Snyder, Frederick P. Roth, Albert‐László Barabási, Jan Tavernier, David E. Hill, Marc Vidal,

Fermentation and Sensory Analysis

Current yeast interactome network maps contain several hundred molecular complexes with limited and somewhat controversial representation of direct binary interactions. We carried out a comparative quality assessment of current yeast interactome data sets, demonstrating that high-throughput yeast two-hybrid (Y2H) screening provides high-quality binary interaction information. Because a large fraction of the yeast binary interactome remains to be mapped, we developed an empirically controlled mapping framework to produce a "second-generation" high-quality, high-throughput Y2H data set covering approximately 20% of all yeast binary interactions. Both Y2H and affinity purification followed by mass spectrometry (AP/MS) data are of equally high quality but of a fundamentally different and complementary nature, resulting in networks with different topological and biological properties. Compared to co-complex interactome models, this binary map is enriched for transient signaling interactions and intercomplex connections with a highly significant clustering between essential proteins. Rather than correlating with essentiality, protein connectivity correlates with genetic pleiotropy.