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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
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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
  21. Altmetric Badge
    Chapter 20 Flow Cytometry: The Glass Is Half Empty
Attention for Chapter 11: Multiparameter Cell Cycle Analysis
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Chapter title
Multiparameter Cell Cycle Analysis
Chapter number 11
Book title
Flow Cytometry Protocols
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7346-0_11
Pubmed ID
Book ISBNs
978-1-4939-7344-6, 978-1-4939-7346-0
Authors

James W. Jacobberger, R. Michael Sramkoski, Tammy Stefan, Philip G. Woost

Abstract

Cell cycle cytometry and analysis are essential tools for studying cells of model organisms and natural populations (e.g., bone marrow). Methods have not changed much for many years. The simplest and most common protocol is DNA content analysis, which is extensively published and reviewed. The next most common protocol, 5-bromo-2-deoxyuridine S phase labeling detected by specific antibodies, is also well published and reviewed. More recently, S phase labeling using 5'-ethynyl-2'-deoxyuridine incorporation and a chemical reaction to label substituted DNA has been established as a basic, reliable protocol. Multiple antibody labeling to detect epitopes on cell cycle regulated proteins, which is what this chapter is about, is the most complex of these cytometric cell cycle assays, requiring knowledge of the chemistry of fixation, the biochemistry of antibody-antigen reactions, and spectral compensation. However, because this knowledge is relatively well presented methodologically in many papers and reviews, this chapter will present a minimal Methods section for one mammalian cell type and an extended Notes section, focusing on aspects that are problematic or not well described in the literature. Most of the presented work involves how to segment the data to produce a complete, progressive, and compartmentalized cell cycle analysis from early G1 to late mitosis (telophase). A more recent development, using fluorescent proteins fused with proteins or peptides that are degraded by ubiquitination during specific periods of the cell cycle, termed "Fucci" (fluorescent, ubiquitination-based cell cycle indicators) provide an analysis similar in concept to multiple antibody labeling, except in this case cells can be analyzed while living and transgenic organisms can be created to perform cell cycle analysis ex or in vivo (Sakaue-Sawano et al., Cell 132:487-498, 2007). This technology will not be discussed.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 4%
Unknown 23 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 25%
Student > Master 4 17%
Researcher 2 8%
Professor > Associate Professor 2 8%
Other 2 8%
Other 4 17%
Unknown 4 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 33%
Medicine and Dentistry 3 13%
Biochemistry, Genetics and Molecular Biology 2 8%
Pharmacology, Toxicology and Pharmaceutical Science 2 8%
Immunology and Microbiology 2 8%
Other 1 4%
Unknown 6 25%
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
of 442,258 outputs
Outputs of similar age from Methods in molecular biology
#1,193
of 1,498 outputs
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