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

Author:

Yu Haiyuan12345,Braun Pascal12345,Yıldırım Muhammed A.12345,Lemmens Irma12345,Venkatesan Kavitha12345,Sahalie Julie12345,Hirozane-Kishikawa Tomoko12345,Gebreab Fana12345,Li Na12345,Simonis Nicolas12345,Hao Tong12345,Rual Jean-François12345,Dricot Amélie12345,Vazquez Alexei12345,Murray Ryan R.12345,Simon Christophe12345,Tardivo Leah12345,Tam Stanley12345,Svrzikapa Nenad12345,Fan Changyu12345,de Smet Anne-Sophie12345,Motyl Adriana12345,Hudson Michael E.12345,Park Juyong12345,Xin Xiaofeng12345,Cusick Michael E.12345,Moore Troy12345,Boone Charlie12345,Snyder Michael12345,Roth Frederick P.12345,Barabási Albert-László12345,Tavernier Jan12345,Hill David E.12345,Vidal Marc12345

Affiliation:

1. Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA 02115, USA.

2. Department of Cancer Biology, Dana-Farber Cancer Institute, and Department of Genetics, Harvard Medical School, Boston, MA 02115, USA.

3. School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138, USA.

4. Department of Medical Protein Research, VIB, and Department of Biochemistry, Faculty of Medicine and Health Sciences, Ghent University, 9000 Ghent, Belgium.

5. The Simons Center for Systems Biology, Institute for Advanced Studies, Princeton, NJ 08540, USA.

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 ∼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.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

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