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Handbook of ELISPOT

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Cover of 'Handbook of ELISPOT'

Table of Contents

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    Book Overview
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    Chapter 1 Challenges in Developing Protein Secretion Assays at a Single-Cell Level
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    Chapter 2 Mastering the Computational Challenges of Elispot Plate Evaluation
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    Chapter 3 Essential Controls for ELISpot Assay
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    Chapter 4 Automatic Search of Spots and Color Classification in ELISPOT Assay
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    Chapter 5 Four Color ImmunoSpot ® Assays for Identification of Effector T-Cell Lineages
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    Chapter 6 Detection of Cross-Reactive B Cells Using the FluoroSpot Assay
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    Chapter 7 Multiplex ImmunoSpot® Assays for the Study of Functional B Cell Subpopulations
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    Chapter 8 Detecting all Immunoglobulin Classes and Subclasses in a Multiplex 7 Color ImmunoSpot® Assay
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    Chapter 9 Multiplexing T- and B-Cell FLUOROSPOT Assays: Experimental Validation of the Multi-Color ImmunoSpot ® Software Based on Center of Mass Distance Algorithm
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    Chapter 10 Multi-Color FLUOROSPOT Counting Using ImmunoSpot ® Fluoro-X™ Suite
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    Chapter 11 B-Cell ELISpot Assay to Quantify Antigen-Specific Antibody-Secreting Cells in Human Peripheral Blood Mononuclear Cells
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    Chapter 12 Identification of Novel Mycobacterial Targets for Murine CD4 + T-Cells by IFNγ ELISPOT
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    Chapter 13 ELISPOT-Based “Multi-Color FluoroSpot” to Study Type-Specific and Cross-Reactive Responses in Memory B Cells after Dengue and Zika Virus Infections
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    Chapter 14 Cultured ELISpot Assay to Investigate Dengue Virus Specific T-Cell Responses
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    Chapter 15 Ex Vivo ELISpot Assay to Investigate Dengue Virus Specific T-Cell Responses
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    Chapter 16 Ex Vivo ELISpot Assay to Investigate iNKT Cell Responses in Acute Dengue Infection
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    Chapter 17 Dendritic Cell-Based ELISpot Assay for Assessing T-Cell IFN-γ Responses in Human Peripheral Blood Mononuclear Cells to Dengue Envelope Proteins
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    Chapter 18 Utilization of Feline ELISpot to Evaluate the Immunogenicity of a T Cell-Based FIV MAP Vaccine
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    Chapter 19 Detection and Quantification of Influenza A/H1N1 Virus-Specific Memory B Cells in Human PBMCs Using ELISpot Assay
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    Chapter 20 Towards a Full Automation of the ELISpot Assay for Safe and Parallelized Immunomonitoring
Attention for Chapter 5: Four Color ImmunoSpot ® Assays for Identification of Effector T-Cell Lineages
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Chapter title
Four Color ImmunoSpot ® Assays for Identification of Effector T-Cell Lineages
Chapter number 5
Book title
Handbook of ELISPOT
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-8567-8_5
Pubmed ID
Book ISBNs
978-1-4939-8566-1, 978-1-4939-8567-8
Authors

Jodi Hanson, Diana R. Roen, Paul V. Lehmann, Hanson, Jodi, Roen, Diana R., Lehmann, Paul V.

Abstract

Single color IFN-γ ELISPOT assays have evolved as a highly sensitive T cell immune monitoring platform. By detecting individual T cells that secrete IFN-γ in response to antigen exposure, these assays permit the measurement of the frequency of antigen-specific T cells among white blood cells. These assays therefore are well suited to assess clonal expansions, that is, whether a (Th1) T cell response has been induced to an antigen in a test subject. Single color IFN-γ ELISPOT assays are not suited, however, to provide information on the Th2/Th17 quality of the T cell response, nor do they provide insights into the differentiation state of CD8 cells. Recently it has been established that co-expression profiles of IL-2, TNF-α, and granzyme B along with IFN-γ permit to identify CD8 cell subpopulations. Naïve CD8 cells, central CD8 memory cells, CD8 terminal effector cells, polyfunctional CD8 cells, stem-cell like CD8 memory cells, dysfunctional- and senescent CD8 cells all differ in the extent they produce these molecules upon antigen re-encounter. We therefore have developed, and introduce here, a four color T cell ELISPOT assay in which the co-expression levels of IFN-γ, IL-2, TNF-α, and granzyme B can be established for individual antigen-specific CD8 cells, thereby identifying the activation/differentiation state of these cells.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 33%
Professor 1 17%
Unspecified 1 17%
Other 1 17%
Student > Master 1 17%
Other 0 0%
Readers by discipline Count As %
Immunology and Microbiology 3 50%
Agricultural and Biological Sciences 2 33%
Unspecified 1 17%