Your browser doesn't support javascript.
loading
Cell-free production of fluorescent proteins for the discovery of novel ribosome-targeting antibiotics.
Höger, Bastian; Peifer, Christian; Beitz, Eric.
Afiliação
  • Höger B; Department of Pharmaceutical and Medicinal Chemistry, Christian-Albrechts-University of Kiel, Gutenbergstraße 76, Kiel, Germany.
  • Peifer C; Department of Pharmaceutical and Medicinal Chemistry, Christian-Albrechts-University of Kiel, Gutenbergstraße 76, Kiel, Germany.
  • Beitz E; Department of Pharmaceutical and Medicinal Chemistry, Christian-Albrechts-University of Kiel, Gutenbergstraße 76, Kiel, Germany. Electronic address: ebeitz@pharmazie.uni-kiel.de.
J Microbiol Methods ; 213: 106814, 2023 Oct.
Article em En | MEDLINE | ID: mdl-37652138
Various issues including the overuse of antibiotics has led to the development of threatening multidrug-resistant bacterial strains urging development of novel anti-infectives. One quarter of current clinical phase III antibiotic drug candidates address ribosomal protein translation as a target. Here, we describe an effective cell-free in vitro screening system for inhibitors of bacterial ribosome activity with direct fluorescence read-out. Using ribosomal S30 extracts from Escherichia coli, Salmonella enterica, and Pseudomonas putida, the validity of this system is demonstrated by concentration-dependent inhibition of translation by a set of different classes of translation-targeting drugs. The single-compartment cell-free translation reaction is compatible with multi-well formats. Fluorophore formation of green fluorescent protein or monomeric NeonGreen occurs in an hour time frame without the need of adding reagents for secondary enzymatic detection saving handling time, and prohibiting false positives. As label-free readout, the dose response further allows for IC50 determination in the same setup. Together, we show that cell-free production of fluorescent proteins for the discovery of ribosome-targeting antibiotics is feasible and amenable to high-throughput applications.
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article