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Antibiotics

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Cover of 'Antibiotics'

Table of Contents

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    Book Overview
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    Chapter 1 Antibiotics: Precious Goods in Changing Times
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    Chapter 2 Mining Bacterial Genomes for Secondary Metabolite Gene Clusters
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    Chapter 3 Production of Antimicrobial Compounds by Fermentation
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    Chapter 4 Structure Elucidation of Antibiotics by NMR Spectroscopy
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    Chapter 5 Computer-Aided Drug Design Methods
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    Chapter 6 Cytotoxicity Assays as Predictors of the Safety and Efficacy of Antimicrobial Agents
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    Chapter 7 Application of a Bacillus subtilis Whole-Cell Biosensor (PliaI-lux) for the Identification of Cell Wall Active Antibacterial Compounds
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    Chapter 8 Determination of Bacterial Membrane Impairment by Antimicrobial Agents
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    Chapter 9 Mass-Sensitive Biosensor Systems to Determine the Membrane Interaction of Analytes
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    Chapter 10 Measurement of Cell Membrane Fluidity by Laurdan GP: Fluorescence Spectroscopy and Microscopy
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    Chapter 11 In Vitro Assays to Identify Antibiotics Targeting DNA Metabolism
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    Chapter 12 Fluorescence-Based Real-Time Activity Assays to Identify RNase P Inhibitors
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    Chapter 13 Reporter Gene-Based Screening for TPP Riboswitch Activators
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    Chapter 14 Cell-Based Fluorescent Screen to Identify Inhibitors of Bacterial Translation Initiation
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    Chapter 15 Bacterial Histidine Kinases: Overexpression, Purification, and Inhibitor Screen
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    Chapter 16 Expression Profiling of Antibiotic-Resistant Bacteria Obtained by Laboratory Evolution
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    Chapter 17 Sample Preparation for Mass-Spectrometry Based Absolute Protein Quantification in Antibiotic Stress Research
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    Chapter 18 Label-Free Quantitation of Ribosomal Proteins from Bacillus subtilis for Antibiotic Research
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    Chapter 19 Functional Metagenomics to Study Antibiotic Resistance
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    Chapter 20 Epidemiological Surveillance and Typing Methods to Track Antibiotic Resistant Strains Using High Throughput Sequencing
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    Chapter 21 Erratum
Attention for Chapter 14: Cell-Based Fluorescent Screen to Identify Inhibitors of Bacterial Translation Initiation
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Chapter title
Cell-Based Fluorescent Screen to Identify Inhibitors of Bacterial Translation Initiation
Chapter number 14
Book title
Antibiotics
Published in
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-6634-9_14
Pubmed ID
Book ISBNs
978-1-4939-6632-5, 978-1-4939-6634-9
Authors

Federica Briani

Editors

Peter Sass

Abstract

A strategy that can be applied to the research of new molecules with antibacterial activity is to look for inhibitors of essential bacterial processes within large collections of chemically heterogeneous compounds. The implementation of this approach requires the development of proper assays aimed at the identification of molecules interfering with specific cell pathways and potentially applicable to the high throughput analysis of large chemical library. Here, I describe a fluorescence-based whole-cell assay in Escherichia coli devised to find inhibitors of the translation initiation pathway. Translation is a complex and essential mechanism. It involves numerous sub-steps performed by factors that are in many cases sufficiently dissimilar in bacterial and eukaryotic cells to be targetable with domain-specific drugs. As a matter of fact, translation has been proven as one of the few bacterial mechanisms pharmacologically tractable with specific antibiotics. The assay described in this chapter is tailored to the identification of molecules affecting the first stage of translation initiation, which is the most dissimilar step in bacteria vs. mammals. The effect of the compounds under analysis is assayed in living cells, thus allowing evaluating their in vivo performance as inhibitors of translation initiation. Compared with other assays for antibacterials, the major advantages of this screen are its simplicity and high mechanism specificity.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Librarian 1 25%
Other 1 25%
Professor 1 25%
Student > Master 1 25%
Researcher 1 25%
Other 0 0%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 50%
Arts and Humanities 1 25%
Medicine and Dentistry 1 25%