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Bacterial Pathogenesis

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Cover of 'Bacterial Pathogenesis'

Table of Contents

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    Book Overview
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    Chapter 1 Protein-Based Strategies to Identify and Isolate Bacterial Virulence Factors.
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    Chapter 2 Analysis of Bacterial Surface Interactions with Mass Spectrometry-Based Proteomics.
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    Chapter 3 Differential Radial Capillary Action of Ligand Assay (DRaCALA) for High-Throughput Detection of Protein-Metabolite Interactions in Bacteria.
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    Chapter 4 Identifying Bacterial Immune Evasion Proteins Using Phage Display.
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    Chapter 5 Competition for Iron Between Host and Pathogen: A Structural Case Study on Helicobacter pylori.
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    Chapter 6 Common Challenges in Studying the Structure and Function of Bacterial Proteins: Case Studies from Helicobacter pylori.
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    Chapter 7 Development of a Single Locus Sequence Typing (SLST) Scheme for Typing Bacterial Species Directly from Complex Communities.
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    Chapter 8 Reconstructing the Ancestral Relationships Between Bacterial Pathogen Genomes.
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    Chapter 9 Making Fluorescent Streptococci and Enterococci for Live Imaging.
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    Chapter 10 Computer Vision-Based Image Analysis of Bacteria.
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    Chapter 11 Assessing Vacuolar Escape of Listeria Monocytogenes.
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    Chapter 12 Immobilization Techniques of Bacteria for Live Super-resolution Imaging Using Structured Illumination Microscopy.
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    Chapter 13 Negative Staining and Transmission Electron Microscopy of Bacterial Surface Structures.
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    Chapter 14 Detection of Intracellular Proteins by High-Resolution Immunofluorescence Microscopy in Streptococcus pyogenes.
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    Chapter 15 Antibody Guided Molecular Imaging of Infective Endocarditis.
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    Chapter 16 The Zebrafish as a Model for Human Bacterial Infections.
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    Chapter 17 Determining Platelet Activation and Aggregation in Response to Bacteria.
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    Chapter 18 Killing Bacteria with Cytotoxic Effector Proteins of Human Killer Immune Cells: Granzymes, Granulysin, and Perforin.
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    Chapter 19 In Vitro and In Vivo Biofilm Formation by Pathogenic Streptococci.
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    Chapter 20 Murine Mycobacterium marinum Infection as a Model for Tuberculosis.
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    Chapter 21 Generating and Purifying Fab Fragments from Human and Mouse IgG Using the Bacterial Enzymes IdeS, SpeB and Kgp.
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    Chapter 22 Measuring Antibody Orientation at the Bacterial Surface.
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    Chapter 23 Toward Clinical use of the IgG Specific Enzymes IdeS and EndoS against Antibody-Mediated Diseases.
Attention for Chapter 20: Murine Mycobacterium marinum Infection as a Model for Tuberculosis.
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Chapter title
Murine Mycobacterium marinum Infection as a Model for Tuberculosis.
Chapter number 20
Book title
Bacterial Pathogenesis
Published in
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-6673-8_20
Pubmed ID
Book ISBNs
978-1-4939-6671-4, 978-1-4939-6673-8
Authors

Julia Lienard, Fredric Carlsson

Editors

Pontus Nordenfelt, Mattias Collin

Abstract

Mycobacteria are a major human health problem globally. Regarding tuberculosis the situation is worsened by the poor efficacy of current vaccine regimens and by emergence of drug-resistant strains (Manjelievskaia J et al, Trans R Soc Trop Med Hyg 110: 110, 2016; Pereira et al., Lancet Infect Dis 12:300-306, 2012; http://www.who.int/tb/publications/global_report/en/) undermining both disease-prevention and available treatments. Thus, increased basic understanding of mycobacterial-and particularly Mycobacterium tuberculosis-virulence strategies and pathogenesis is of great importance. To this end several in vivo infection models are available (Guirado and Schlesinger, Front Immunol 4:98, 2013; Leung et al., Eur J Immunol 43:2246-2254, 2013; Patel et al., J Lab Physicians 3:75-79, 2011; van Leeuwen et al., Cold Spring Harb Perspect Med 5:a018580, 2015). While these models all have their merits they also exhibit limitations, and none perfectly mimics all aspects of human tuberculosis. Thus, there is a need for multiple models that may complement each other, ultimately allowing us to gain true insight into the pathogenesis of mycobacterial infections.Here, we describe a recently developed mouse model of Mycobacterium marinum infection that allows kinetic and quantitative studies of disease progression in live animals [8]. Notably, this model exhibits features of human tuberculosis not replicated in M. tuberculosis infected mice, and may provide an important complement to the field. For example, granulomas in the M. marinum model develop central caseating necrosis (Carlsson et al., PLoS Pathog 6:e1000895, 2010), a hallmark of granulomas in human tuberculosis normally not replicated in murine M. tuberculosis infection. Moreover, while tuberculosis is heterogeneous and presents with a continuum of active and latent disease, M. tuberculosis infected mice essentially lack this dynamic range and do not replicate latency (Guirado and Schlesinger, Front Immunol 4:98, 2013; Patel et al., J Lab Physicians 3(2):75-79, 2011). In contrast, M. marinum infected mice may naturally develop latency, as suggested by reduced inflammation and healing of the diseased tissue while low numbers of bacteria persist in granulomatous lesions (Carlsson et al., PLoS Pathog 6:e1000895, 2010). Thus, infection with M. marinum may offer a unique murine model for studying granuloma formation as well as latency-and possibly also for studies of disease-reactivation. In addition to the in vivo model, we describe infection of bone marrow-derived murine macrophages, an in vitro platform enabling detailed mechanistic studies of host-pathogen interactions occurring in the principal host target cell for pathogenic mycobacteria.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 6 19%
Researcher 5 16%
Student > Ph. D. Student 5 16%
Student > Doctoral Student 2 6%
Student > Master 2 6%
Other 5 16%
Unknown 6 19%
Readers by discipline Count As %
Immunology and Microbiology 7 23%
Biochemistry, Genetics and Molecular Biology 5 16%
Veterinary Science and Veterinary Medicine 2 6%
Agricultural and Biological Sciences 2 6%
Medicine and Dentistry 2 6%
Other 6 19%
Unknown 7 23%