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Nucleic Acids Research Advance Access published online on November 5, 2007

Nucleic Acids Research, doi:10.1093/nar/gkm894
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© 2007 The Author(s)
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.


Methods Online

Yeast two-hybrid interaction partner screening through in vivo Cre-mediated Binary Interaction Tag generation

Alex R. Hastie1 and Steven C. Pruitt2,*

1Molecular and Cellular Biophysics and Biochemistry and 2Molecular and Cellular Biology, Roswell Park Cancer Institute, Buffalo, NY, USA

*To whom correspondence should be addressed. Tel: (716) 845 3589; Fax: (716) 845 8169; Email: steven.pruitt{at}roswellpark.org

Received July 31, 2007. Revised October 2, 2007. Accepted October 3, 2007.

Yeast two-hybrid (Y2H) has been successfully used for genome-wide screens to identify protein–protein interactions for several model organisms. Nonetheless, the logistics of pair-wise screening has resulted in a cumbersome and incomplete application of this method to complex genomes. Here, we develop a modification of Y2H that eliminates the requirement for pair-wise screening. This is accomplished by incorporating lox sequences into Y2H vectors such that cDNAs encoding interacting partners become physically linked in the presence of Cre recombinase in vivo. Once linked, DNA from complex pools of clones can be processed without losing the identity of the interacting partners. Short linked sequence tags from each pair of interacting partner (binary interaction Tags or BI-Tags) are then recovered and sequenced. To validate the approach, comparisons between interactions found using traditional Y2H and the BI-Tag method were made, which demonstrate that the BI-Tag technology accurately represents the complexity of the interaction partners found in the screens. The technology described here sufficiently improves the throughput of the Y2H approach to make feasible the generation of near comprehensive interaction maps for complex organisms.


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