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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 2: Mastering the Computational Challenges of Elispot Plate Evaluation
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Chapter title
Mastering the Computational Challenges of Elispot Plate Evaluation
Chapter number 2
Book title
Handbook of ELISPOT
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-8567-8_2
Pubmed ID
Book ISBNs
978-1-4939-8566-1, 978-1-4939-8567-8
Authors

Sylvia Janetzki, Janetzki, Sylvia

Abstract

Much has been written about Elispot and how to optimally run the assay for a wide variety of applications. But only a limited number of articles exist addressing the analysis step, the plate evaluation. Comparing that fact with the vast amount of analysis advise available for other single cell immune assay, for example, intracellular cytokine staining, the overall impression may be that Elispot evaluation is just simple enough to not require extensive elaboration and guidance. At first thought this appears reasonable because how difficult can it be counting colored spots on a white background. In addition, automated Elispot readers were already introduced more than 20 years ago (Herr et al., J Immunol Methods 203, 141-152, 1997), easing the strenuous load of manual counting and providing means to decrease the subjectivity in Elispot analysis. Just shortly thereafter however, the first report was published about the subjectivity and operator-dependency of plate evaluation even when using automated reader systems (Janetzki et al., J Immunol Methods 291, 175-183, 2004). Later, the plate evaluation was identified as a main factor causing variability in Elispot results, triggering the inclusion of recommendations on handling of artifacts and the audits of plate reading results in the Initial Elispot Harmonization guidelines (Janetzki et al., Cancer Immunol Immunother 57, 303-315, 2008; Britten et al., Cancer Immunol Immunother 57, 289-302, 2008). In follow-up, a large international study with 75 laboratories was conducted to address the current approaches taken to evaluate Elispot plates and to establish consensus guidelines for plate evaluation (Janetzki et al., Nat Protoc 10, 1098-1115, 2015). This article addresses the special challenges of plate evaluation, gives explanations for unusual observation, and provides overall recommendations on how to work through the labyrinth of available algorithms and reader settings to obtain reliable Elispot data.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 38%
Researcher 1 13%
Student > Bachelor 1 13%
Unknown 3 38%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 13%
Agricultural and Biological Sciences 1 13%
Neuroscience 1 13%
Chemistry 1 13%
Materials Science 1 13%
Other 0 0%
Unknown 3 38%