| Literature DB >> 35137167 |
Daniel Evans-Yamamoto1,2,3,4, François D Rouleau1,2,5,6, Piyush Nanda2, Koji Makanae2, Yin Liu2, Philippe C Després1,2,5,6, Hitoshi Matsuo2, Motoaki Seki2, Alexandre K Dubé1,5,6,7, Diana Ascencio1,5,6,7, Nozomu Yachie2,3,4, Christian R Landry1,5,6,7.
Abstract
Barcode fusion genetics (BFG) utilizes deep sequencing to improve the throughput of protein-protein interaction (PPI) screening in pools. BFG has been implemented in Yeast two-hybrid (Y2H) screens (BFG-Y2H). While Y2H requires test protein pairs to localize in the nucleus for reporter reconstruction, dihydrofolate reductase protein-fragment complementation assay (DHFR-PCA) allows proteins to localize in broader subcellular contexts and proves to be largely orthogonal to Y2H. Here, we implemented BFG to DHFR-PCA (BFG-PCA). This plasmid-based system can leverage ORF collections across model organisms to perform comparative analysis, unlike the original DHFR-PCA that requires yeast genomic integration. The scalability and quality of BFG-PCA were demonstrated by screening human and yeast interactions for >11 000 bait-prey pairs. BFG-PCA showed high-sensitivity and high-specificity for capturing known interactions for both species. BFG-Y2H and BFG-PCA capture distinct sets of PPIs, which can partially be explained based on the domain orientation of the reporter tags. BFG-PCA is a high-throughput protein interaction technology to interrogate binary PPIs that exploits clone collections from any species of interest, expanding the scope of PPI assays.Entities:
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Year: 2022 PMID: 35137167 PMCID: PMC9122585 DOI: 10.1093/nar/gkac045
Source DB: PubMed Journal: Nucleic Acids Res ISSN: 0305-1048 Impact factor: 19.160