Next-generation large-scale binary protein interaction network for Drosophila melanogaster
Publication information:
Hong-Wen Tang, Kerstin Spirohn, Yanhui Hu, Tong Hao, István Kovács, Yue Gao, Richard Binari, Donghui Yang-Zhou, Kenneth Wan, Joel Bader, Dawit Balcha, Wenting Bian, Benjamin Booth, Atina Coté, Steffi de Rouck, Alice Desbuleux, Kah Goh, Dae-Kyum Kim, Jennifer Knapp, Wen Lee, Irma Lemmens, Cathleen Li, Mian Li, Roujia Li, Hyobin Lim, Yifang Liu, Katja Luck, Dylan Markey, Carl Pollis, Sudharshan Rangarajan, Jonathan Rodiger, Sadie Schlabach, Yun Shen, Dayag Sheykhkarimli, Bridget TeeKing, Frederick P. Roth, Jan Tavernier, Michael Calderwood, David Hill, Susan Celniker, Marc Vidal, Norbert Perrimon, and Stephanie E. Mohr. 2023. “Next-Generation Large-Scale Binary Protein Interaction Network for Drosophila Melanogaster”, 14, 1, Pp. 2162
Abstract
Generating reference maps of interactome networks illuminates genetic studies by providing a protein-centric approach to finding new components of existing pathways, complexes, and processes. We apply state-of-the-art methods to identify binary protein-protein interactions (PPIs) for Drosophila melanogaster. Four all-by-all yeast two-hybrid (Y2H) screens of > 10,000 Drosophila proteins result in the ‘FlyBi’ dataset of 8723 PPIs among 2939 proteins. Testing subsets of data from FlyBi and previous PPI studies using an orthogonal assay allows for normalization of data quality; subsequent integration of FlyBi and previous data results in an expanded binary Drosophila reference interaction network, DroRI, comprising 17,232 interactions among 6511 proteins. We use FlyBi data to generate an autophagy network, then validate in vivo using autophagy-related assays. The deformed wings (dwg) gene encodes a protein that is both a regulator and a target of autophagy. Altogether, these resources provide a foundation for building new hypotheses regarding protein networks and function.