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Handbook of ELISPOT

Overview of attention for book
Cover of 'Handbook of ELISPOT'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    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 7: Multiplex ImmunoSpot® Assays for the Study of Functional B Cell Subpopulations
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Chapter title
Multiplex ImmunoSpot® Assays for the Study of Functional B Cell Subpopulations
Chapter number 7
Book title
Handbook of ELISPOT
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-8567-8_7
Pubmed ID
Book ISBNs
978-1-4939-8566-1, 978-1-4939-8567-8
Authors

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

Abstract

B cells mediate humoral immunity by producing antibody molecules, but they also participate in innate and acquired immune functions via the secretion of effector molecules such as cytokines, chemokines, and granzyme. B cell subpopulations releasing such effector molecules have been implicated in immunobiology and a number of diseases.Unlike antigen-specific T cells that can be identified by multimer staining, and then counter-stained to define T cell subpopulations, antigen-specific B cells cannot be detected by flow cytometry. Staining antigen-specific B cells with labeled antigen, in large, has been unsuccessful. Instead, antigen-specific B cells can be and are commonly studied by ELISPOT. In the ELISPOT approach, the B cell is identified via the antibody that it secretes being captured on a membrane by the antigen itself. Should it be feasible to measure simultaneously antibody production and the secretion of other secretory B cell products, it would then be possible to identify B cell subpopulations that co-express effector molecules. Here we introduce multiplex ELISPOT assays in which measurements of antibody secretion are combined with the detection of Granzyme B, IL-6, IL-10, IFN-γ, and TNF-α. Such multiplex assays will help define effector B cell subpopulations, as well as the understanding of their role in health and disease.

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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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Professor 2 67%
Student > Master 1 33%
Readers by discipline Count As %
Immunology and Microbiology 1 33%
Unknown 2 67%
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 30 June 2018.
All research outputs
#15,538,060
of 23,092,602 outputs
Outputs from Methods in molecular biology
#5,411
of 13,207 outputs
Outputs of similar age
#270,127
of 442,643 outputs
Outputs of similar age from Methods in molecular biology
#596
of 1,499 outputs
Altmetric has tracked 23,092,602 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,207 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
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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 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.