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Host-Pathogen Interactions

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Cover of 'Host-Pathogen Interactions'

Table of Contents

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    Book Overview
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    Chapter 1 Genetic Association Studies in Host–Pathogen Interaction Analysis
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    Chapter 2 Bacterial Genotyping Methods: From the Basics to Modern
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    Chapter 3 Real-Time Reverse Transcription PCR as a Tool to Study Virulence Gene Regulation in Bacterial Pathogens
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    Chapter 4 Usage of a Bioluminescence Reporter System to Image Promoter Activity During Host Infection
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    Chapter 5 lacZ Reporter System as a Tool to Study Virulence Gene Regulation in Bacterial Pathogens
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    Chapter 6 Western Blotting Against Tagged Virulence Determinants to Study Bacterial Pathogenicity
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    Chapter 7 Molecular Methods to Analyze the Effect of Proteins Expressed by Salmonella During Its Intracellular Stage
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    Chapter 8 Organoids as a Model to Study Infectious Disease
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    Chapter 9 Surface Proteome Biotinylation Combined with Bioinformatic Tools as a Strategy for Predicting Pathogen Interacting Proteins
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    Chapter 10 Systems Biology Modeling to Study Pathogen–Host Interactions
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    Chapter 11 Phage Therapy: Various Perspectives on How to Improve the Art
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    Chapter 12 Application of RNA-seq and Bioimaging Methods to Study Microbe–Microbe Interactions and Their Effects on Biofilm Formation and Gene Expression
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    Chapter 13 Serial Dilution-Based Growth Curves and Growth Curve Synchronization for High-Resolution Time Series of Bacterial Biofilm Growth
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    Chapter 14 Detection of Bacterial Quorum Sensing Molecules
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    Chapter 15 Generating Chromosome-Located Transcriptional Fusions to Fluorescent Proteins for Single-Cell Gene Expression Analysis in Pseudomonas syringae
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    Chapter 16 Introduction of Genetic Material in Ralstonia solanacearum Through Natural Transformation and Conjugation
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    Chapter 17 In Vitro and In Vivo Secretion/Translocation Assays to Identify Novel Ralstonia solanacearum Type 3 Effectors
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    Chapter 18 Plant Pathogenicity Phenotyping of Ralstonia solanacearum Strains
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    Chapter 19 Methods to Quantify Biotic-Induced Stress in Plants
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    Chapter 20 From Sample to Data: Preparing, Obtaining, and Analyzing Images of Plant-Pathogen Interactions Using Confocal Microscopy
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    Chapter 21 Screening of c-di-GMP-Regulated Exopolysaccharides in Host Interacting Bacteria
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    Chapter 22 Primary Characterization of Small RNAs in Symbiotic Nitrogen-Fixing Bacteria
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    Chapter 23 A New, Nondestructive, Split-Root System for Local and Systemic Plant Responses Studies with Soybean
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    Chapter 24 Methods for the Characterization of Plant-Growth Promoting Rhizobacteria
Attention for Chapter 1: Genetic Association Studies in Host–Pathogen Interaction Analysis
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Chapter title
Genetic Association Studies in Host–Pathogen Interaction Analysis
Chapter number 1
Book title
Host-Pathogen Interactions
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7604-1_1
Pubmed ID
Book ISBNs
978-1-4939-7603-4, 978-1-4939-7604-1
Authors

Jose Luis Royo, Luis Miguel Real

Abstract

Studying host-pathogen interactions at a molecular level has been always technically challenging. Identifying the different biochemical and genetic pathways involved in the different stages of infection traditionally require complex molecular biology tools and often the use of costly animal models. In this chapter we illustrate a complementary approach to address host-pathogen interactions, taking advantage of the natural interindividual genetic diversity. The application of genetic association studies allows us to identify alleles involved in infection progression or resistance. Thus, this strategy may be useful to unravel new molecular pathways underlying host-pathogen interactions. Here we present the general steps that might be followed to plan, execute, and analyze a population-based study in order to identify genetic variants affecting human exposition to pathogens.

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 50%
Researcher 1 50%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 50%
Immunology and Microbiology 1 50%