Pooled‐matrix protein interaction screens using Barcode Fusion Genetics

Nozomu Yachie(University of Toronto), Evangelia Petsalaki(University of Toronto), Joseph Mellor(University of Toronto), Jochen Weile(University of Toronto), Yves Jacob(Institut Pasteur), Marta Verby(University of Toronto), Sedide Öztürk(University of Toronto), Siyang Li(University of Toronto), Atina G. Coté(University of Toronto), Roberto Mosca(Institute for Research in Biomedicine), Jennifer J. Knapp(University of Toronto), Minjeong Ko(University of Toronto), Analyn Yu(University of Toronto), Marinella Gebbia(University of Toronto), Nidhi Sahni(Harvard University), S. Stephen Yi(Harvard University), Tanya Tyagi(University of Toronto), Dayag Sheykhkarimli(University of Toronto), Jonathan Roth(University of Toronto), Cassandra J. Wong(University of Toronto), Louai Musa(University of Toronto), Jamie Snider(University of Toronto), Yichun Liu(University of Toronto), Haiyuan Yu(Cornell University), Pascal Falter‐Braun(Harvard University), Igor Štagljar(University of Toronto), Tong Hao(Harvard University), Michael A. Calderwood(Harvard University), Laurence Pelletier(University of Toronto), Patrick Aloy(Institució Catalana de Recerca i Estudis Avançats), David E. Hill(Harvard University), Marc Vidal(Harvard University), Frederick P. Roth(Canadian Institute for Advanced Research)
Molecular Systems Biology
April 1, 2016
Cited by 128Open Access
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Abstract

High-throughput binary protein interaction mapping is continuing to extend our understanding of cellular function and disease mechanisms. However, we remain one or two orders of magnitude away from a complete interaction map for humans and other major model organisms. Completion will require screening at substantially larger scales with many complementary assays, requiring further efficiency gains in proteome-scale interaction mapping. Here, we report Barcode Fusion Genetics-Yeast Two-Hybrid (BFG-Y2H), by which a full matrix of protein pairs can be screened in a single multiplexed strain pool. BFG-Y2H uses Cre recombination to fuse DNA barcodes from distinct plasmids, generating chimeric protein-pair barcodes that can be quantified via next-generation sequencing. We applied BFG-Y2H to four different matrices ranging in scale from ~25 K to 2.5 M protein pairs. The results show that BFG-Y2H increases the efficiency of protein matrix screening, with quality that is on par with state-of-the-art Y2H methods.


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