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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 1: Challenges in Developing Protein Secretion Assays at a Single-Cell Level
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Chapter title
Challenges in Developing Protein Secretion Assays at a Single-Cell Level
Chapter number 1
Book title
Handbook of ELISPOT
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-8567-8_1
Pubmed ID
Book ISBNs
978-1-4939-8566-1, 978-1-4939-8567-8
Authors

Yoshitaka Shirasaki, Osamu Ohara, Shirasaki, Yoshitaka, Ohara, Osamu

Abstract

In addition to direct physical interactions between/among cells, the secretion of humoral factors from living cells is a critical process for cell-cell communications. A well-known extracellular signaling event is mediated by immune cell cytokines/chemokines. Because cell-cell communication is crucial in immune cell sociology, protein secretion assays first attracted a broad range of immunology interests. Now that we have entered an era of systems biology, cell-cell interactions mediated by secreted molecules should be revisited to understand the dynamics and homeostasis of the cell society as a whole. Of more importance, recent advances in detection and microfluidics technologies enable us to monitor protein secretion in real time rather than as a snapshot from the past, which gives us an opportunity to more deeply understand the logic of mammalian cell sociology. This chapter reviews the recent progress in and future direction of protein secretion assays, particularly from a mammalian cell sociology viewpoint.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 29%
Researcher 2 29%
Student > Bachelor 1 14%
Professor > Associate Professor 1 14%
Unknown 1 14%
Readers by discipline Count As %
Chemical Engineering 1 14%
Biochemistry, Genetics and Molecular Biology 1 14%
Agricultural and Biological Sciences 1 14%
Immunology and Microbiology 1 14%
Materials Science 1 14%
Other 0 0%
Unknown 2 29%