51. Towards an 'assayome' for binary interactome mapping
- Author
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Jan Tavernier, Sylvie van der Werf, Mélanie Dos Santos, Eloi P. Coutant, Erich E. Wanker, Julien Olivet, Luke Lambourne, Philipp Trepte, Marc Vidal, Pierre-Olivier Vidalain, Michael A. Calderwood, Jean-Claude Twizere, Irma Lemmens, Louis Jones, Wenting Bian, Sudharshan Rangarajan, Katja Luck, Javier De Las Rivas, Patricia Cassonnet, Tong Hao, Yves L. Janin, Soon Gang Choi, Kerstin Spirohn, David E. Hill, Caroline Demeret, and Yves Jacob
- Subjects
0303 health sciences ,03 medical and health sciences ,0302 clinical medicine ,Computer science ,Completeness (order theory) ,Proteome ,Binary number ,Computational biology ,Interactome ,Genome ,030217 neurology & neurosurgery ,Protein expression ,030304 developmental biology - Abstract
Complementary assays are required to comprehensively map complex biological entities such as genomes, proteomes and interactome networks. However, how various assays can be optimally combined to approach completeness while maintaining high precision often remains unclear. Here, we propose the concept of an “assayome” for binary protein-protein interaction (PPI) mapping as an optimal combination of assays and/or assay versions that maximizes detection of true positive interactions, while avoiding detection of random protein pairs. We engineered a novel NanoLuc two-hybrid (N2H) system that integrates 12 different versions differing by protein expression systems and tagging configurations. The resulting N2H assayome recovers as many PPIs as 10 distinct assays combined. Thus, to further improve PPI mapping, developing alternative versions of existing assays might be as productive as designing completely new assays. Our assayome concept should be applicable to systematic mapping of other biological landscapes.
- Published
- 2019
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