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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 22: Measuring Antibody Orientation at the Bacterial Surface.
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Chapter title
Measuring Antibody Orientation at the Bacterial Surface.
Chapter number 22
Book title
Bacterial Pathogenesis
Published in
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-6673-8_22
Pubmed ID
Book ISBNs
978-1-4939-6671-4, 978-1-4939-6673-8
Authors

Oonagh Shannon, Pontus Nordenfelt

Editors

Pontus Nordenfelt, Mattias Collin

Abstract

Many bacteria have the ability to interact with antibodies as a means to circumvent the immune response. This includes binding to the Fc portion of antibodies, effectively reversing the antibody orientation and thus decreasing the Fc-mediated immune signaling. Since antibody orientation at the bacterial surface has been shown to be important in human disease, it is valuable to be able to assess how antibodies are interacting with bacterial pathogens. Here, we describe a method to measure the proportion of human IgG that are bound via their Fc or Fabs to a bacterial surface. This is achieved by treating antibody-coated bacteria with the bacterial enzyme IdeS - which will cleave IgG into Fc and Fab fragments - and subsequently detect remaining fragments with fluorescent Fabs. The method is easy and fast, and the principle is most likely also applicable to other systems where distinguishing between antibody Fc and Fab binding is important.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 1 17%
Student > Bachelor 1 17%
Lecturer 1 17%
Student > Doctoral Student 1 17%
Unknown 2 33%
Readers by discipline Count As %
Medicine and Dentistry 2 33%
Immunology and Microbiology 1 17%
Biochemistry, Genetics and Molecular Biology 1 17%
Unknown 2 33%