Building artificial genetic circuits to understand protein function.
Antibiotic resistance
Biosensor
Deep mutational scanning
Genetic circuit
Structure-function relationship
Synthetic biology
Journal
Methods in enzymology
ISSN: 1557-7988
Titre abrégé: Methods Enzymol
Pays: United States
ID NLM: 0212271
Informations de publication
Date de publication:
2020
2020
Historique:
entrez:
13
2
2020
pubmed:
13
2
2020
medline:
29
5
2021
Statut:
ppublish
Résumé
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.
Identifiants
pubmed: 32046848
pii: S0076-6879(19)30449-5
doi: 10.1016/bs.mie.2019.11.003
pii:
doi:
Substances chimiques
Mutant Proteins
0
Proteins
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
231-250Informations de copyright
© 2020 Elsevier Inc. All rights reserved.