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Bacterial Persistence

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Cover of 'Bacterial Persistence'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Bacterial Persistence
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    Chapter 2 Persisters: Methods for Isolation and Identifying Contributing Factors-A Review.
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    Chapter 3 Bacterial Persistence
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    Chapter 4 Bacterial Persistence
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    Chapter 5 A Microplate-Based System as In Vitro Model of Biofilm Growth and Quantification.
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    Chapter 6 Protocol for Determination of the Persister Subpopulation in Candida Albicans Biofilms.
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    Chapter 7 Bacterial Persistence
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    Chapter 8 Bacterial Persistence
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    Chapter 9 Single-Cell Detection and Collection of Persister Bacteria in a Directly Accessible Femtoliter Droplet Array.
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    Chapter 10 A Whole-Cell-Based High-Throughput Screening Method to Identify Molecules Targeting Pseudomonas aeruginosa Persister Cells.
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    Chapter 11 Functional Analysis of the Role of Toxin-Antitoxin (TA) Loci in Bacterial Persistence.
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    Chapter 12 Experimental Evolution of Escherichia coli Persister Levels Using Cyclic Antibiotic Treatments
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    Chapter 13 In Vitro Models for the Study of the Intracellular Activity of Antibiotics
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    Chapter 14 Bacterial Persistence
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    Chapter 15 Bacterial Persistence
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    Chapter 16 Population Dynamics Analysis of Ciprofloxacin-Persistent S. Typhimurium Cells in a Mouse Model for Salmonella Diarrhea.
  18. Altmetric Badge
    Chapter 17 Bacterial Persistence
Attention for Chapter 17: Bacterial Persistence
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Chapter title
Bacterial Persistence
Chapter number 17
Book title
Bacterial Persistence
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-2854-5_17
Pubmed ID
Book ISBNs
978-1-4939-2853-8, 978-1-4939-2854-5
Authors

Vandervelde, Alexandra, Loris, Remy, Danckaert, Jan, Gelens, Lendert, Alexandra Vandervelde, Remy Loris, Jan Danckaert, Lendert Gelens

Abstract

Bacterial persister cells are dormant cells, tolerant to multiple antibiotics, that are involved in several chronic infections. Toxin-antitoxin modules play a significant role in the generation of such persister cells. Toxin-antitoxin modules are small genetic elements, omnipresent in the genomes of bacteria, which code for an intracellular toxin and its neutralizing antitoxin. In the past decade, mathematical modeling has become an important tool to study the regulation of toxin-antitoxin modules and their relation to the emergence of persister cells. Here, we provide an overview of several numerical methods to simulate toxin-antitoxin modules. We cover both deterministic modeling using ordinary differential equations and stochastic modeling using stochastic differential equations and the Gillespie method. Several characteristics of toxin-antitoxin modules such as protein production and degradation, negative autoregulation through DNA binding, toxin-antitoxin complex formation and conditional cooperativity are gradually integrated in these models. Finally, by including growth rate modulation, we link toxin-antitoxin module expression to the generation of persister cells.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 29%
Student > Bachelor 5 29%
Researcher 3 18%
Student > Master 1 6%
Unknown 3 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 24%
Biochemistry, Genetics and Molecular Biology 3 18%
Medicine and Dentistry 2 12%
Physics and Astronomy 2 12%
Mathematics 1 6%
Other 2 12%
Unknown 3 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 July 2016.
All research outputs
#18,465,704
of 22,880,230 outputs
Outputs from Methods in molecular biology
#7,924
of 13,132 outputs
Outputs of similar age
#284,574
of 393,712 outputs
Outputs of similar age from Methods in molecular biology
#845
of 1,471 outputs
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So far Altmetric has tracked 13,132 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
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