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Ligand engineering using yeast surface display.

Benjamin J Hackel1

  • 1Department of Chemical Engineering and Materials Science, University of Minnesota, Twin Cities, 356 Amundson Hall, 421 Washington Avenue SE, Minneapolis, MN, 55455, USA, hackel@umn.edu.

Methods in Molecular Biology (Clifton, N.J.)
|May 21, 2014
PubMed
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Display technologies link genotype to phenotype, enabling efficient protein library analysis and selection. This expands protein sequence evaluation for identifying novel functions, particularly for binding using yeast surface display.

Area of Science:

  • Biotechnology
  • Molecular Biology
  • Protein Engineering

Background:

  • Display technologies facilitate the creation and analysis of vast combinatorial protein libraries.
  • Linking genetic information (genotype) to protein characteristics (phenotype) is crucial for protein engineering.
  • Efficiently evaluating protein sequence space is key for discovering new or improved protein functions.

Purpose of the Study:

  • To describe yeast surface display as a method for selecting proteins with specific binding functions.
  • To detail yeast culture techniques and magnetic- and fluorescence-based selection strategies.

Main Methods:

  • Utilizing yeast surface display to link protein expression (genotype) with binding capability (phenotype).
  • Employing yeast culture for library generation and maintenance.

Related Experiment Videos

  • Implementing magnetic-activated cell sorting (MACS) and fluorescence-activated cell sorting (FACS) for protein selection.

    • Main Results:

    • Yeast surface display effectively enables the selection of proteins based on binding function.
    • Detailed protocols for yeast culture and various selection methods are provided.
    • The approach significantly expands the accessible protein sequence space for functional evaluation.

    Conclusions:

    • Yeast surface display is a powerful tool for the identification and directed evolution of proteins with desired binding properties.
    • This technology accelerates the discovery of novel protein functions.
    • The presented methods offer a robust framework for protein engineering and functional screening.