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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 3: Differential Radial Capillary Action of Ligand Assay (DRaCALA) for High-Throughput Detection of Protein-Metabolite Interactions in Bacteria.
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Chapter title
Differential Radial Capillary Action of Ligand Assay (DRaCALA) for High-Throughput Detection of Protein-Metabolite Interactions in Bacteria.
Chapter number 3
Book title
Bacterial Pathogenesis
Published in
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-6673-8_3
Pubmed ID
Book ISBNs
978-1-4939-6671-4, 978-1-4939-6673-8
Authors

Mona W. Orr, Vincent T. Lee

Editors

Pontus Nordenfelt, Mattias Collin

Abstract

Bacteria rely on numerous nucleotide second messengers for signal transduction such as cyclic AMP, cyclic-di-GMP, and cyclic-di-AMP. Although a number of receptors responsible for known regulated phenotypes have been established, the completeness of protein receptors in any given organism remains elusive. We have developed a method called differential radial capillary action of ligand assay (DRaCALA) that allows for an unbiased, systematic high-throughput screen for the detection of ligand binding proteins encoded by a genome. DRaCALA permits interrogation of ligand binding directly to an overexpressed protein in a cell lysate and bypasses the need of protein purification. Gateway-cloning-compatible open reading frame libraries are available for a diverse range of bacterial species and permits generation of the lysates overexpressing each open reading frame. These lysates can be assessed by DRaCALA in a 96-well format to allow rapid identification of protein-ligand interactions, including previously unknown proteins. Here, we present the protocols for generating the expression library, conducting the DRaCALA screen, data analysis, and hit validation.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 23%
Student > Master 6 14%
Student > Bachelor 6 14%
Student > Doctoral Student 4 9%
Researcher 4 9%
Other 9 20%
Unknown 5 11%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 19 43%
Agricultural and Biological Sciences 9 20%
Immunology and Microbiology 4 9%
Unspecified 1 2%
Arts and Humanities 1 2%
Other 3 7%
Unknown 7 16%