High-Quality Binary Protein Interaction Map of the Yeast Interactome Network
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 tw...
Saved in:
Published in | Science (American Association for the Advancement of Science) Vol. 322; no. 5898; pp. 104 - 110 |
---|---|
Main Authors | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Washington, DC
American Association for the Advancement of Science
03.10.2008
The American Association for the Advancement of Science |
Subjects | |
Online Access | Get full text |
ISSN | 0036-8075 1095-9203 1095-9203 |
DOI | 10.1126/science.1158684 |
Cover
Summary: | 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. |
---|---|
Bibliography: | SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 14 ObjectType-Article-1 ObjectType-Feature-2 content type line 23 ObjectType-Article-2 These authors contributed equally to this work. |
ISSN: | 0036-8075 1095-9203 1095-9203 |
DOI: | 10.1126/science.1158684 |