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Inflammation and Cancer

Overview of attention for book
Cover of 'Inflammation and Cancer'

Table of Contents

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    Book Overview
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    Chapter 1 In Vivo Models of Inflammatory Bowel Disease and Colitis-Associated Cancer
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    Chapter 2 Combining Cell Type-Restricted Adenoviral Targeting with Immunostaining and Flow Cytometry to Identify Cells-of-Origin of Lung Cancer
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    Chapter 3 Utility of Endoscopic Ultrasound-Guided Fine-Needle Aspiration for Preclinical Evaluation of Therapies in Cancer
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    Chapter 4 Modelling Intestinal Carcinogenesis Using In Vitro Organoid Cultures
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    Chapter 5 Protocols to Evaluate Cigarette Smoke-Induced Lung Inflammation and Pathology in Mice
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    Chapter 6 Tracking Competent Host Defence to Chronic Inflammation: An In Vivo Model of Peritonitis
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    Chapter 7 Citrobacter rodentium Infection Model for the Analysis of Bacterial Pathogenesis and Mucosal Immunology
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    Chapter 8 In Vivo Infection Model of Severe Influenza A Virus
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    Chapter 9 In Vivo Models for Inflammatory Arthritis
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    Chapter 10 Isolation of Mouse Primary Gastric Epithelial Cells to Investigate the Mechanisms of Helicobacter pylori Associated Disease
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    Chapter 11 Dissecting Interleukin-6 Classic- and Trans-Signaling in Inflammation and Cancer
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    Chapter 12 Laser Microdissection of Cellular Compartments for Expression Analyses in Cancer Models
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    Chapter 13 Tissue Processing for Stereological Analyses of Lung Structure in Chronic Obstructive Pulmonary Disease
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    Chapter 14 Quantifying Caspase-1 Activity in Murine Macrophages
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    Chapter 15 Analysis of Histone Modifications in Acute Myeloid Leukaemia Using Chromatin Immunoprecipitation
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    Chapter 16 Analysis of DNA Methylation in Tissues Exposed to Inflammation
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    Chapter 17 A Comprehensive Protocol Resource for Performing Pooled shRNA and CRISPR Screens
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    Chapter 18 Immuno-detection of Immature and Bioactive Forms of the Inflammatory Cytokine IL-18
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    Chapter 19 Optimization Techniques for miRNA Expression in Low Frequency Immune Cell Populations
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    Chapter 20 Assessing the cGAS-cGAMP-STING Activity of Cancer Cells
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    Chapter 21 Expression and Purification of JAK1 and SOCS1 for Structural and Biochemical Studies
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    Chapter 22 Production of Recombinant Killer Immunoglobulin-Like Receptors for Crystallography and Luminex-Based Assays
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    Chapter 23 Isolation and Characterization of Mouse Intrahepatic Lymphocytes by Flow Cytometry
Attention for Chapter 8: In Vivo Infection Model of Severe Influenza A Virus
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Chapter title
In Vivo Infection Model of Severe Influenza A Virus
Chapter number 8
Book title
Inflammation and Cancer
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7568-6_8
Pubmed ID
Book ISBNs
978-1-4939-7567-9, 978-1-4939-7568-6
Authors

Ashley Mansell, Michelle D. Tate

Abstract

The lung is constantly exposed to both environmental and microbial challenge. As a "contained" organ, it also constitutes an excellent "self-contained" tissue to examine inflammatory responses and cellular infiltration into a diseased organ. Influenza A virus (IAV) causes both mild and severe inflammation that is strain specific following infection of the lung epithelium that spreads to other cells of the lung environment. Here, we describe a method of intranasal inoculation of the lung with IAV that can be used as a preclinical model of infection. Mice can be monitored for clinical signs of infection and tissue and lung fluid collected for further analysis to dissect the immunological consequences of IAV infection. Importantly, this method can be modified to introduce other pathogens, therapies and environmental stimuli to examine immune responses in the lung.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 17%
Researcher 3 17%
Unspecified 1 6%
Student > Ph. D. Student 1 6%
Librarian 1 6%
Other 2 11%
Unknown 7 39%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 17%
Veterinary Science and Veterinary Medicine 2 11%
Medicine and Dentistry 2 11%
Unspecified 1 6%
Social Sciences 1 6%
Other 1 6%
Unknown 8 44%