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| Item Type: | Article |
|---|---|
| Title: | Maximizing binary interactome mapping with a minimal number of assays |
| Creators Name: | Choi, S.G., Olivet, J., Cassonnet, P., Vidalain, P.O., Luck, K., Lambourne, L., Spirohn, K., Lemmens, I., Dos Santos, M., Demeret, C., Jones, L., Rangarajan, S., Bian, W., Coutant, E.P., Janin, Y.L., van der Werf, S., Trepte, P., Wanker, E.E., De Las Rivas, J., Tavernier, J., Twizere, J.C., Hao, T., Hill, D.E., Vidal, M., Calderwood, M.A. and Jacob, Y. |
| 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 a framework for binary protein-protein interaction (PPI) mapping based on optimally combining assays and/or assay versions to maximize detection of true positive interactions, while avoiding detection of random protein pairs. We have engineered a novel NanoLuc two-hybrid (N2H) system that integrates 12 different versions, differing by protein expression systems and tagging configurations. The resulting union of N2H versions 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 findings should be applicable to systematic mapping of other biological landscapes. |
| Keywords: | Biological Assay, HEK293 Cells, HeLa Cells, High-Throughput Screening Assays, Protein Databases, Protein Interaction Mapping, Protein Interaction Maps, Proteins, Proteome, Proteomics, Two-Hybrid System Techniques |
| Source: | Nature Communications |
| ISSN: | 2041-1723 |
| Publisher: | Nature Publishing Group |
| Volume: | 10 |
| Number: | 1 |
| Page Range: | 3907 |
| Date: | 29 August 2019 |
| Official Publication: | https://doi.org/10.1038/s41467-019-11809-2 |
| PubMed: | View item in PubMed |
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