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Flow Cytometry Protocols

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Cover of 'Flow Cytometry Protocols'

Table of Contents

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    Book Overview
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    Chapter 1 Flow Cytometry: The Glass Is Half Full
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    Chapter 2 High-Dimensional Modeling for Cytometry: Building Rock Solid Models Using GemStone™ and Verity Cen-se’™ High-Definition t-SNE Mapping
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    Chapter 3 Mass Cytometry Assays for Antigen-Specific T Cells Using CyTOF
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    Chapter 4 RNA Flow Cytometry Using the Branched DNA Technique
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    Chapter 5 Analysis of Individual Extracellular Vesicles by Flow Cytometry
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    Chapter 6 Quantitative Fluorescence Measurements with Multicolor Flow Cytometry
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    Chapter 7 High Throughput Flow Cytometry for Cell Surface Profiling
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    Chapter 8 Multiparameter Conventional Flow Cytometry
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    Chapter 9 Multiparameter Intracellular Cytokine Staining
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    Chapter 10 Multiparametric Analysis of Apoptosis by Flow Cytometry
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    Chapter 11 Multiparameter Cell Cycle Analysis
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    Chapter 12 Monitoring Cell Proliferation by Dye Dilution: Considerations for Probe Selection
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    Chapter 13 Immunophenotypic Identification of Early Myeloerythroid Development
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    Chapter 14 Flow Cytometry Assays in Primary Immunodeficiency Diseases
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    Chapter 15 Real-Time Deformability Cytometry: Label-Free Functional Characterization of Cells
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    Chapter 16 Nuclear Cytometry: Analysis of the Patterns of DNA Synthesis and Transcription Using Flow Cytometry, Confocal Microscopy, and RNA Sequencing
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    Chapter 17 Flow Cytometric FRET Analysis of Protein Interactions
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    Chapter 18 Overview of Fluorescence Lifetime Measurements in Flow Cytometry
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    Chapter 19 Overview of Lasers for Flow Cytometry
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    Chapter 20 Flow Cytometry: The Glass Is Half Empty
Attention for Chapter 14: Flow Cytometry Assays in Primary Immunodeficiency Diseases
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Chapter title
Flow Cytometry Assays in Primary Immunodeficiency Diseases
Chapter number 14
Book title
Flow Cytometry Protocols
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7346-0_14
Pubmed ID
Book ISBNs
978-1-4939-7344-6, 978-1-4939-7346-0
Authors

Maurice. R. G. O’Gorman

Abstract

Inborn errors of immunity are the cause of the primary immunodeficiency diseases, an extremely diverse group of genetic defects that are inherited in Mendelian fashion and result in the impairment of development and/or function of key components of the immune system. Since the last publication of this chapter in 2011, there have been approximately 100 new primary immunodeficiency diseases officially classified by the "Expert Committee for Primary Immunodeficiency" who met in 2015 and the numbers will continue to rise with the continued evolution and widespread adoption of genomic technologies. The ultimate diagnostic modality involves the identification of a mutation in a gene whose product is known to be involved in immunity. DNA sequencing is however still a rather time-consuming technology. Flow cytometry applications have evolved that are rapid, specific, and relatively inexpensive to screen for abnormalities associated with primary immunodeficiency diseases. The numerous flow cytometry procedures that have been developed to detect abnormalities in peripheral blood cells of primary immunodeficiency patients can barely be covered in an entire book, let alone one chapter. Instead of attempting to cover each disease with a specific assay or test, we will review four procedures each covering one of the three following broad forms of immune abnormalities observed in primary immunodeficiency, i.e., immune subset abnormalities, immune marker abnormalities, and immune function abnormalities.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Other 2 13%
Researcher 2 13%
Student > Postgraduate 2 13%
Student > Master 1 7%
Professor > Associate Professor 1 7%
Other 1 7%
Unknown 6 40%
Readers by discipline Count As %
Medicine and Dentistry 3 20%
Biochemistry, Genetics and Molecular Biology 2 13%
Immunology and Microbiology 2 13%
Agricultural and Biological Sciences 1 7%
Unknown 7 47%