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Detection of protein-protein interactions through vesicle targeting.

The detection of protein-protein interactions through two-hybrid assays has revolutionized our understanding of biology. The remarkable impact of two-hybrid assay platforms derives from their speed, simplicity, and broad applicability. Yet for many organisms, the need to express test proteins in Saccharomyces cerevisiae or Escherichia coli presents a substantial barrier because variations in codon specificity or bias may result in aberrant protein expression. In particular, nonstandard genetic codes are characteristic of several eukaryotic pathogens, for which there are currently no genetically based systems for detection of protein-protein interactions. We have developed a protein-protein interaction assay that is carried out in native host cells by using GFP as the only foreign protein moiety, thus circumventing these problems. We show that interaction can be detected between two protein pairs in both the model yeast S. cerevisiae and the fungal pathogen Candida albicans. We use computational analysis of microscopic images to provide a quantitative and automated assessment of confidence.

Pubmed ID: 19307607

Authors

  • Boysen JH
  • Fanning S
  • Newberg J
  • Murphy RF
  • Mitchell AP

Journal

Genetics

Publication Data

May 30, 2009

Associated Grants

  • Agency: NIAID NIH HHS, Id: 5R01AI070272

Mesh Terms

  • Candida albicans
  • Computational Biology
  • Endosomal Sorting Complexes Required for Transport
  • Endosomes
  • Fungal Proteins
  • Green Fluorescent Proteins
  • Image Processing, Computer-Assisted
  • Nuclear Proteins
  • Protein Binding
  • Protein Interaction Mapping
  • Recombinant Fusion Proteins
  • Saccharomyces cerevisiae
  • Saccharomyces cerevisiae Proteins
  • Transport Vesicles