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

Area of Science:

• Molecular Biology
• Genomics
• Biochemistry

Background:

• Yeast two-hybrid (Y2H) is crucial for identifying protein-protein interactions in model organisms.
• Traditional Y2H screening is logistically challenging and incomplete for complex genomes due to pairwise screening requirements.

Purpose of the Study:

• To develop a modified Y2H approach that eliminates the need for pairwise screening.
• To improve the efficiency and scalability of Y2H for complex genomes.

Main Methods:

• Incorporated lox sequences into Y2H vectors for in vivo cDNA linking via Cre recombinase.
• Developed Binary Interaction Tags (BI-Tags) for recovering and sequencing linked interacting partner DNA from complex pools.
• Validated the BI-Tag method by comparing results with traditional Y2H screening.

Main Results:

• The BI-Tag method successfully links interacting cDNAs in vivo, preserving partner identity in pooled samples.
• Sequencing of BI-Tags accurately identifies interacting protein pairs.
• The BI-Tag approach demonstrates high throughput, comparable to traditional Y2H in identifying interaction complexity.

Conclusions:

• The BI-Tag technology significantly enhances Y2H throughput, making it feasible for complex genomes.
• This method facilitates the generation of near-comprehensive protein interaction maps.
• BI-Tags offer a more efficient strategy for large-scale interactome studies.