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Immunotoxicity Testing

Overview of attention for book
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 20: CD4 + T Cell Differentiation and Activation
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Chapter title
CD4 + T Cell Differentiation and Activation
Chapter number 20
Book title
Immunotoxicity Testing
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-8549-4_20
Pubmed ID
Book ISBNs
978-1-4939-8548-7, 978-1-4939-8549-4
Authors

Jim Reed, Scott A. Wetzel, Reed, Jim, Wetzel, Scott A.

Abstract

The activation and differentiation of CD4+ T cells play a critical role in establishing and subsequently controlling protective adaptive immune responses. Flow cytometry is a powerful technique with which to assess the potential of xenobiotics to influence CD4+ T cell activation and differentiation. With flow cytometry, cells are stained with fluorochrome-conjugated antibodies and/or specific fluorescent probes to assess T cell activation, proliferation, effector cytokine production, and transcription factor expression. This technique allows for complex phenotypic analysis of tens to hundreds of thousands of individual cells very rapidly to assess the potential impact of a xenobiotic on CD4 effector differentiation and activation state.

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X Demographics

The data shown below were collected from the profile of 1 X user 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 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 16%
Researcher 2 11%
Lecturer 2 11%
Student > Ph. D. Student 2 11%
Student > Doctoral Student 1 5%
Other 5 26%
Unknown 4 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 37%
Immunology and Microbiology 2 11%
Medicine and Dentistry 2 11%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Social Sciences 1 5%
Other 3 16%
Unknown 3 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 09 June 2018.
All research outputs
#18,639,173
of 23,090,520 outputs
Outputs from Methods in molecular biology
#7,987
of 13,206 outputs
Outputs of similar age
#330,849
of 442,634 outputs
Outputs of similar age from Methods in molecular biology
#950
of 1,499 outputs
Altmetric has tracked 23,090,520 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,206 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
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 442,634 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,499 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.