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Immunotoxicity Testing

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Cover of 'Immunotoxicity Testing'

Table of Contents

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    Book Overview
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    Chapter 1 Immunotoxicology: A Brief History
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    Chapter 2 Clinical Immunotoxicology
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    Chapter 3 Investigative Immunotoxicology
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    Chapter 4 Developmental Immunotoxicity (DIT) Testing: Current Recommendations and the Future of DIT Testing
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    Chapter 5 Markers of Inflammation
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    Chapter 6 The Sheep Erythrocyte T-Dependent Antibody Response (TDAR)
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    Chapter 7 Methylated Bovine Serum Albumin (mBSA)-Induced Delayed-Type Hypersensitivity in Mice
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    Chapter 8 Use of the LLNA:BrdU-ELISA for Skin Sensitization Hazard Assessment
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    Chapter 9 Host Resistance Assays
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    Chapter 10 Enhanced Histopathology Evaluation of Lymphoid Organs
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    Chapter 11 Tumor Challenges in Immunotoxicity Testing
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    Chapter 12 Flow Cytometry for the Immunotoxicologist
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    Chapter 13 Evaluation of Cell-Mediated Immune Function Using the Cytotoxic T-Lymphocyte Assay
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    Chapter 14 Evaluation of Cell Proliferation and Apoptosis in Immunotoxicity Testing
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    Chapter 15 Natural Killer (NK) Cell Assays in Immunotoxicity Testing
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    Chapter 16 Dendritic Cell Assays
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    Chapter 17 Evaluating Macrophages in Immunotoxicity Testing
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    Chapter 18 Evaluating Cytokines in Immunotoxicity Testing
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    Chapter 19 Functional Assays of Hematopoietic Stem Cells in Toxicology Research
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    Chapter 20 CD4 + T Cell Differentiation and Activation
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    Chapter 21 Isolation and Identification of Innate Lymphoid Cells (ILCs) for Immunotoxicity Testing
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    Chapter 22 Evaluating Antigen-Specific IgE Using the Rat Basophil Leukemia Cell (RBL) Assay
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    Chapter 23 Challenges for Integrating Immunotoxicology into the Twenty-First-Century Toxicology Testing Paradigm
Attention for Chapter 22: Evaluating Antigen-Specific IgE Using the Rat Basophil Leukemia Cell (RBL) Assay
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Chapter title
Evaluating Antigen-Specific IgE Using the Rat Basophil Leukemia Cell (RBL) Assay
Chapter number 22
Book title
Immunotoxicity Testing
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-8549-4_22
Pubmed ID
Book ISBNs
978-1-4939-8548-7, 978-1-4939-8549-4
Authors

Marsha D. W. Ward, Lisa B. Copeland

Abstract

Allergic diseases (atopy) include asthma, allergic rhinitis, conjunctivitis, and allergic sinusitis. It is estimated that up to 90% of asthmatics are atopic and have an allergy trigger for asthmatic episodes. In order to assess the risk of allergy induction associated with inhalation exposure, animal models of protein allergy have been developed. These models have been used both to identify proteins as allergens and to assess their relative potency. Often these research situations include allergens that are not well characterized or are unknown. In these situations, specific allergens are not available to be evaluated by more well-known assays (such as ELISAs), and developing a specific assay to evaluate an extract or mixture for an unknown or potential allergen is very time consuming and generally requires purified antigen/allergen. Additionally, when the comparison of the relative potency of multiple extracts is of interest, a common/generic platform is necessary. A more generic method, the rat basophil leukemia cell assay (RBL assay), has been developed which provides insight into the allergenicity of extracts and mixtures as well as providing a common platform for relative potency comparison between/among these complex allergen sources.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 2 17%
Professor > Associate Professor 2 17%
Student > Ph. D. Student 2 17%
Lecturer > Senior Lecturer 1 8%
Student > Doctoral Student 1 8%
Other 2 17%
Unknown 2 17%
Readers by discipline Count As %
Medicine and Dentistry 3 25%
Biochemistry, Genetics and Molecular Biology 2 17%
Agricultural and Biological Sciences 1 8%
Business, Management and Accounting 1 8%
Social Sciences 1 8%
Other 1 8%
Unknown 3 25%