期刊
SCIENCE
卷 322, 期 5898, 页码 104-110出版社
AMER ASSOC ADVANCEMENT SCIENCE
DOI: 10.1126/science.1158684
关键词
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资金
- W. M. Keck Foundation
- Institute Sponsored Research funds from the Dana-Farber Cancer Institute Strategic Initiative
- NIH [R01-HG001715, U01-A1070499-01, U56- CA113004, HG003224]
- University of Ghent [GOA12051401]
- Fund for Scientific Research Flanders [FWO-V G. 0031.06]
- National Cancer Institute of Canada
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 similar to 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.
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