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T follicular Helper Cells

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Cover of 'T follicular Helper Cells'

Table of Contents

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    Book Overview
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    Chapter 1 Identification of mouse T follicular helper cells by flow cytometry.
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    Chapter 2 Identification of follicular T helper cells in tissue sections.
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    Chapter 3 Tracking early T follicular helper cell differentiation in vivo.
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    Chapter 4 Tracking by Flow Cytometry Antigen-Specific Follicular Helper T Cells in Wild-Type Animals After Protein Vaccination
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    Chapter 5 Retroviral Vector Expression in TCR Transgenic CD4(+) T Cells.
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    Chapter 6 Two-photon microscopy for imaging germinal centers and T follicular helper cells.
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    Chapter 7 In Vivo Induction of T-Follicular Helper Cells by Modulation of Regulatory T Cell Function
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    Chapter 8 Assessing T Follicular Helper Cell Function In Vivo: Antigen-Specific B Cell Response to Hapten and Affinity Maturation
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    Chapter 9 The SWHEL System for High-Resolution Analysis of In Vivo Antigen-Specific T-Dependent B Cell Responses
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    Chapter 10 Triggering Positive Selection of Germinal Center B Cells by Antigen Targeting to DEC-205
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    Chapter 11 Detection of Mouse Natural Killer T Follicular Helper (NKTFH) Cells by Flow Cytometry.
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    Chapter 12 Identification of Foxp3+ T Follicular Regulatory (Tfr) Cells by Flow Cytometry
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    Chapter 13 In Vitro Assay to Sensitively Measure TFR Suppressive Capacity and TFH Stimulation of B Cell Responses.
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    Chapter 14 Flow Cytometric Detection and Isolation of Human Tonsil or Lymph Node T Follicular Helper Cells
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    Chapter 15 Human tfh and tfr cells: identification and assessment of their migration potential.
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    Chapter 16 Analysis of human blood memory T follicular helper subsets.
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    Chapter 17 Flow Cytometric Analysis of Circulating Follicular Helper T (Tfh) and Follicular Regulatory T (Tfr) Populations in Human Blood
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    Chapter 18 Quantifying Helper Cell Function of Human TFH Cells In Vitro.
Attention for Chapter 9: The SWHEL System for High-Resolution Analysis of In Vivo Antigen-Specific T-Dependent B Cell Responses
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Chapter title
The SWHEL System for High-Resolution Analysis of In Vivo Antigen-Specific T-Dependent B Cell Responses
Chapter number 9
Book title
T follicular Helper Cells
Published in
Methods in molecular biology, January 2015
DOI 10.1007/978-1-4939-2498-1_9
Pubmed ID
Book ISBNs
978-1-4939-2497-4, 978-1-4939-2498-1
Authors

R. Brink, D. Paus, K. Bourne, J. R. Hermes, S. Gardam, T. G. Phan, T. D. Chan

Editors

Marion Espéli, Michelle Linterman

Abstract

T cell-dependent B cell responses generate optimal antibodies to combat foreign antigens. Naïve B cells responding to antigen undergo a complex series of differentiation events and cell fate decisions to provide long-lived memory B cells and plasma cells. Historically, B cell biologists have been challenged by the task of investigating rare antigen-specific B cells in an in vivo setting such that their interactions with antigen, regulation and migration may be accurately tracked. We have developed the SWHEL experimental system capable of accurately monitoring B cells that interact with a protein antigen and then subsequently undergo isotype switching, somatic hypermutation, and affinity maturation within germinal centers (GC) to generate high-affinity antibodies. Here we provide a comprehensive description of the procedures involved in establishing and using the SWHEL system to assess B cell responses to a foreign antigen. This system can provide a valuable measure of the functional capabilities of T follicular helper cells, whose role is ultimately to support and shape long-term humoral immunity.

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 > Ph. D. Student 7 37%
Student > Bachelor 4 21%
Researcher 3 16%
Professor > Associate Professor 1 5%
Unknown 4 21%
Readers by discipline Count As %
Immunology and Microbiology 7 37%
Agricultural and Biological Sciences 5 26%
Biochemistry, Genetics and Molecular Biology 1 5%
Engineering 1 5%
Unknown 5 26%