| Literature DB >> 18719252 |
Haiyuan Yu1, Pascal Braun, Muhammed A Yildirim, Irma Lemmens, Kavitha Venkatesan, Julie Sahalie, Tomoko Hirozane-Kishikawa, Fana Gebreab, Na Li, Nicolas Simonis, Tong Hao, Jean-François Rual, Amélie Dricot, Alexei Vazquez, Ryan R Murray, Christophe Simon, Leah Tardivo, Stanley Tam, Nenad Svrzikapa, Changyu Fan, Anne-Sophie de Smet, Adriana Motyl, Michael E Hudson, Juyong Park, Xiaofeng Xin, Michael E Cusick, Troy Moore, Charlie Boone, Michael Snyder, Frederick P Roth, Albert-László Barabási, Jan Tavernier, David E Hill, Marc Vidal.
Abstract
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.Entities:
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Year: 2008 PMID: 18719252 PMCID: PMC2746753 DOI: 10.1126/science.1158684
Source DB: PubMed Journal: Science ISSN: 0036-8075 Impact factor: 47.728