Towards a large-scale high-confidence binary protein interaction network for Drosophila
Mass spectrometry-based and other studies are helping to uncover what proteins are expressed and what protein complexes are present in Drosophila. Binary data are required to distinguish direct from indirect relationships, providing important refinement to our understanding of protein-protein interaction networks.
The goal of the “FlyBi” project (for Drosophila binary protein interaction project) is to perform a state-of-the-art, high-throughput, quality-controlled binary protein interaction analysis with ~10,000 Drosophila open reading frames (ORFs), representing about 2/3 of the proteome, to generate a high-confidence binary interaction network.
To limit false discovery, prior to screening we will use positive and random reference sets of interactions to establish optimal vectors and parameters for the large-scale screen. We will further limit false discovery by performing multiple iterations of the screen. Integration of the results of this robust binary interaction analysis with other datasets will generate a high-confidence “interactome” and help guide choices for further molecular genetic investigations.
This project, funded by NIH-NHGRI (5R01HG007118; N. Perrimon, PI), is a collaboration among the Berkeley Drosophila Genome Project (BDGP)/Celniker lab, Center for Cancer Systems Biology (CCSB)/Vidal lab and Drosophila RNAi Screening Center (DRSC)/Perrimon lab.