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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
  2. Altmetric Badge
    Chapter 1 Flow Cytometry: The Glass Is Half Full
  3. Altmetric Badge
    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
  18. Altmetric Badge
    Chapter 17 Flow Cytometric FRET Analysis of Protein Interactions
  19. Altmetric Badge
    Chapter 18 Overview of Fluorescence Lifetime Measurements in Flow Cytometry
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    Chapter 19 Overview of Lasers for Flow Cytometry
  21. Altmetric Badge
    Chapter 20 Flow Cytometry: The Glass Is Half Empty
Attention for Chapter 9: Multiparameter Intracellular Cytokine Staining
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Chapter title
Multiparameter Intracellular Cytokine Staining
Chapter number 9
Book title
Flow Cytometry Protocols
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7346-0_9
Pubmed ID
Book ISBNs
978-1-4939-7344-6, 978-1-4939-7346-0
Authors

Patricia Lovelace, Holden T. Maecker

Abstract

Intracellular cytokine staining is a popular method for visualizing cellular responses, most often T-cell responses to antigenic or mitogenic stimulation. It can be coupled with staining for other functional markers, such as upregulation of CD107 or CD154, as well as phenotypic markers that define specific cellular subsets, e.g., effector and memory T-cell compartments, NK cells, or monocytes. Recent advances in multicolor flow cytometry instrumentation and software have allowed the routine combination of 12 or more markers, creating some technical and analytical challenges along the way, and exposing a need for standardization in the field. Here, we will review best practices for antibody panel design and procedural variables for multicolor intracellular cytokine staining, and present an optimized protocol with variations designed for use with specific markers and sample types.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
United States 1 1%
Unknown 81 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 18%
Student > Ph. D. Student 11 13%
Student > Master 9 11%
Student > Bachelor 8 10%
Student > Doctoral Student 6 7%
Other 15 18%
Unknown 19 23%
Readers by discipline Count As %
Immunology and Microbiology 25 30%
Agricultural and Biological Sciences 15 18%
Biochemistry, Genetics and Molecular Biology 9 11%
Medicine and Dentistry 6 7%
Engineering 3 4%
Other 5 6%
Unknown 20 24%
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 27 October 2017.
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#20,450,513
of 23,006,268 outputs
Outputs from Methods in molecular biology
#9,941
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#378,095
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Outputs of similar age from Methods in molecular biology
#1,193
of 1,498 outputs
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