Event
Special Bioengineering Seminar: Haiyuan Yu
Monday, March 9, 2009
4:00 p.m.-5:00 p.m.
Room 2110 Chemical and Nuclear Engineering Bldg.
Professor Elias Balaras
(301) 405-8268
balaras@umd.edu
Understanding Large-scale Interactome Networks
Presented by Dr. Haiyuan Yu
Postdoctoral Fellow
Department of Cancer Biology
Dana-Farber Cancer Institute
Proteins function through interactions with bio-molecules, DNA and other proteins especially. The set of all molecular interactions in an organism is its "interactome". More specifically, interactome is the sum of all protein-protein interactions. Current yeast interactome network maps contain several hundred molecular complexes, with limited and at times controversial representation of direct binary interactions. We carried out a comparative quality assessment of current yeast interactome datasets, finding that high-throughput yeast two-hybrid (Y2H) provides high-quality binary interaction information. As most of the yeast binary interactome remains unmapped, we exploited an empirically-controlled mapping framework to produce a "second-generation" high-quality high-throughput Y2H dataset 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 are fundamentally different and complementary, producing networks with dissimilar topological and biological properties. Compared to co-complex interactome models, the binary Y2H map is enriched for transient signaling interactions and inter-complex connections. Protein connectivity correlates with genetic pleiotropy, not with essentiality. Furthermore, topological analysis of interactome networks can help identify key proteins involved in various human diseases, especially because many diseases result from disrupted interactions among proteins. In sum, mapping and analyzing interactome networks will lead to better understanding of human disease, especially cancer.
