1. A Protein Complex Network of Drosophila melanogaster
- Author
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Spyros Artavanis-Tsakonas, David Y. Rhee, Pujita Vaidya, Mark Stapleton, Chapman N. Beekman, Christina Wong, Steven P. Gygi, Emily McKillip, K. G. Guruharsha, Robert A. Obar, Julian Mintseris, Bayan Parsa, Susan E. Celniker, Kenneth H. Wan, Namita Vaidya, Xiao Chen, Joseph W. Carlson, Jean François Rual, Saumini Shah, K. VijayRaghavan, Charles Yu, Bhaveen Kapadia, Odise Cenaj, and Bo Zhai
- Subjects
Proteomics ,Proteasome Endopeptidase Complex ,Computational biology ,Article ,General Biochemistry, Genetics and Molecular Biology ,03 medical and health sciences ,0302 clinical medicine ,Protein Interaction Mapping ,Animals ,Drosophila Proteins ,Proteasome endopeptidase complex ,Gene ,030304 developmental biology ,Genetics ,0303 health sciences ,biology ,Biochemistry, Genetics and Molecular Biology(all) ,A protein ,Complex network ,biology.organism_classification ,Drosophila melanogaster ,Proteome ,SNARE Proteins ,030217 neurology & neurosurgery ,Drosophila Protein - Abstract
SummaryDetermining the composition of protein complexes is an essential step toward understanding the cell as an integrated system. Using coaffinity purification coupled to mass spectrometry analysis, we examined protein associations involving nearly 5,000 individual, FLAG-HA epitope-tagged Drosophila proteins. Stringent analysis of these data, based on a statistical framework designed to define individual protein-protein interactions, led to the generation of a Drosophila protein interaction map (DPiM) encompassing 556 protein complexes. The high quality of the DPiM and its usefulness as a paradigm for metazoan proteomes are apparent from the recovery of many known complexes, significant enrichment for shared functional attributes, and validation in human cells. The DPiM defines potential novel members for several important protein complexes and assigns functional links to 586 protein-coding genes lacking previous experimental annotation. The DPiM represents, to our knowledge, the largest metazoan protein complex map and provides a valuable resource for analysis of protein complex evolution.
- Published
- 2011