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Bacterial Pathogenesis

Overview of attention for book
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 23: Toward Clinical use of the IgG Specific Enzymes IdeS and EndoS against Antibody-Mediated Diseases.
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Chapter title
Toward Clinical use of the IgG Specific Enzymes IdeS and EndoS against Antibody-Mediated Diseases.
Chapter number 23
Book title
Bacterial Pathogenesis
Published in
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-6673-8_23
Pubmed ID
Book ISBNs
978-1-4939-6671-4, 978-1-4939-6673-8
Authors

Mattias Collin, Lars Björck

Editors

Pontus Nordenfelt, Mattias Collin

Abstract

The endoglycosidase EndoS and the protease IdeS from the human pathogen Streptococcus pyogenes are immunomodulating enzymes hydrolyzing human IgG. IdeS cleaves IgG in the lower hinge region, while EndoS hydrolyzes the conserved N-linked glycan in the Fc region. Both enzymes are remarkably specific for human IgG that after hydrolysis loses most of its effector functions, such as binding to leukocytes and complement activation, all contributing to bacterial evasion of adaptive immunity. However, taken out of their infectious context, we and others have shown that IdeS and EndoS can alleviate autoimmune disease in a number of animal models of antibody-mediated disorders. In this chapter, we will briefly describe the discovery and characterization of these unique enzymes, present the findings from a number of animal models of autoimmunity where the enzymes have been tested, and outline the ongoing clinical testing of IdeS. Furthermore, we will discuss the rationale for further development of IdeS and EndoS into novel pharmaceuticals against diseases where IgG antibodies contribute to the pathology, including, but not restricted to, chronic and acute autoimmunity, transplant rejection, and antidrug antibody reactions.

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X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 18%
Student > Bachelor 4 14%
Student > Ph. D. Student 3 11%
Professor 1 4%
Lecturer 1 4%
Other 2 7%
Unknown 12 43%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 25%
Medicine and Dentistry 4 14%
Agricultural and Biological Sciences 2 7%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Immunology and Microbiology 1 4%
Other 1 4%
Unknown 12 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 15 March 2017.
All research outputs
#13,999,179
of 22,908,162 outputs
Outputs from Methods in molecular biology
#3,948
of 13,132 outputs
Outputs of similar age
#222,415
of 420,477 outputs
Outputs of similar age from Methods in molecular biology
#349
of 1,074 outputs
Altmetric has tracked 22,908,162 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,132 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 68% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 420,477 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,074 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.