Yeast Genetics and Molecular Biology 2000
University of Washington
Seattle, Washington USA
July 2000


Name: Marino-Ramirez, Leonardo
Mailing Address: Biochemistry and Biophysics, Texas A&M University, Bio/Bio Room 443, College Station, TX 77843-2128, USA
Email Address: lmarino@tamu.edu
Phone & FAX numbers: 979-862-4055 & 979-845-9274

#562

Lambda repressor fusions as a tool to study protein oligomerization in Saccharomyces cerevisiae.
Leonardo Marino-Ramirez, Svenja Simon-Marshall, James C. Hu
Biochemistry and Biophysics, Texas A&M University, Bio/Bio Room 443, College Station, TX 77843-2128, USA

It is well recognized that many cellular processes are performed by protein machines composed of large protein assemblies. Large-scale efforts to detect and characterize protein assemblies using yeast two-hybrid technology are under way. The yeast two-hybrid system has been the method of choice used to analyze a pair of proteins that physically interact mainly because is simple and can be scaled to study a large number of interactions. However, there are a number of reasons why similar genetic assays in E. coli should be useful, including: higher transformation efficiencies, lack of endogenous proteins and the absence of cellular compartments. This work presents a complementary approach based on finding peptides encoded by random fragments of yeast DNA that can participate in protein assemblies. Lambda repressor fusion proteins encoding oligomerization units reconstitute the activity of the lambda repressor. Cells expressing active repressor fusions have a distinct phenotype that is easily detected using reporter genes or phage immunity. A recent report from the Fields lab describes a list of 957 putative interactions from proteins encoded in the yeast genome, 37 of those (3.8%) represent proteins that can self-assemble. Here we show that the repressor system can provide complementary information by identifying interacting domains within these proteins and by detecting self-interactions of that were missed in the yeast two-hybrid analysis.


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