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    Building artificial genetic circuits to understand protein function

    Access Status
    Fulltext not available
    Authors
    Scott, L.H.
    Mathews, J.C.
    Filipovska, A.
    Rackham, Oliver
    Date
    2020
    Type
    Book Chapter
    
    Metadata
    Show full item record
    Source Title
    Methods in Enzymology
    DOI
    10.1016/bs.mie.2019.11.003
    Additional URLs
    https://research-repository.uwa.edu.au/files/81276020/Scott_et_al._Author_Manuscript.pdf
    ISBN
    9780128191286
    Faculty
    Faculty of Health Sciences
    School
    Curtin Medical School
    Funding and Sponsorship
    http://purl.org/au-research/grants/arc/DP180101656
    URI
    http://hdl.handle.net/20.500.11937/90960
    Collection
    • Curtin Research Publications
    Abstract

    Intrinsic protein properties that may not be apparent by only examining three-dimensional structures can be revealed by careful analysis of mutant protein variants. Deep mutational scanning is a technique that allows the functional analysis of millions of protein variants in a single experiment. To enable this high-throughput technique, the mutant genotype of protein variants must be coupled to a selectable function. This chapter outlines how artificial genetic circuits in the yeast Saccharomyces cerevisiae can maintain the genotype-phenotype link, thus enabling the general application of this approach. To do this, we describe how to engineer genetic selections in yeast, methods to construct mutant libraries, and how to analyze sequencing data. We investigate the structure-function relationships of the antimicrobial resistance protein TetX to illustrate this process. In doing so, we demonstrate that deep mutational scanning is a powerful method to dissect the importance of individual residues for the inactivation of antibiotic analogues, with consequences for the rational design of new drugs to combat antimicrobial resistance.

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