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Imaging Flow Cytometry

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Cover of 'Imaging Flow Cytometry'

Table of Contents

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    Book Overview
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    Chapter 1 Quantitative Functional Morphology by Imaging Flow Cytometry
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    Chapter 2 Principles of Amnis Imaging Flow Cytometry
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    Chapter 3 Ultrafast Microfluidic Cellular Imaging by Optical Time-Stretch
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    Chapter 4 Applications of Imaging Flow Cytometry for Microalgae
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    Chapter 5 The Analysis of Cell Cycle, Proliferation, and Asymmetric Cell Division by Imaging Flow Cytometry
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    Chapter 6 Quantitation of Chromosome Damage by Imaging Flow Cytometry
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    Chapter 7 Fluorescent In Situ Hybridization in Suspension by Imaging Flow Cytometry
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    Chapter 8 Analysis of Nucleocytoplasmic Protein Shuttling by Imaging Flow Cytometry
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    Chapter 9 Using Image-Based Flow Cytometry with a FISH-Based FlowRNA Assay to Simultaneously Detect Intracellular TNF-α Protein and mRNA in Monocytes Following LPS Stimulation
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    Chapter 10 Multiparametric Characterization of Human T-Cell Immune Synapses by InFlow Microscopy
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    Chapter 11 Studying T Cells N-Glycosylation by Imaging Flow Cytometry
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    Chapter 12 Assessment of Granulocyte Subset Activation: New Information from Image-Based Flow Cytometry
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    Chapter 13 Using Image-Based Flow Cytometry to Assess Monocyte Oxidized LDL Phagocytosis Capacity
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    Chapter 14 Imaging Flow Cytometry
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    Chapter 15 Accurate Assessment of Cell Death by Imaging Flow Cytometry
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    Chapter 16 Imaging Flow Cytometry
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    Chapter 17 FlowCam: Quantification and Classification of Phytoplankton by Imaging Flow Cytometry
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    Chapter 18 Detection and Characterization of Rare Circulating Endothelial Cells by Imaging Flow Cytometry
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    Chapter 19 Imaging Flow Cytometric Analysis of Primary Bone Marrow Megakaryocytes
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    Chapter 20 Sickle Cell Imaging Flow Cytometry Assay (SIFCA)
Attention for Chapter 5: The Analysis of Cell Cycle, Proliferation, and Asymmetric Cell Division by Imaging Flow Cytometry
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Chapter title
The Analysis of Cell Cycle, Proliferation, and Asymmetric Cell Division by Imaging Flow Cytometry
Chapter number 5
Book title
Imaging Flow Cytometry
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3302-0_5
Pubmed ID
Book ISBNs
978-1-4939-3300-6, 978-1-4939-3302-0
Authors

Andrew Filby, William Day, Sukhveer Purewal, Nuria Martinez-Martin

Abstract

Measuring cellular DNA content by conventional flow cytometry (CFC) and fluorescent DNA-binding dyes is a highly robust method for analysing cell cycle distributions within heterogeneous populations. However, any conclusions drawn from single-parameter DNA analysis alone can often be confounded by the asynchronous nature of cell proliferation. We have shown that by combining fluorescent DNA stains with proliferation tracking dyes and antigenic staining for mitotic cells one can elucidate the division history and cell cycle position of any cell within an asynchronously dividing population. Furthermore if one applies this panel to an imaging flow cytometry (IFC) system then the spatial information allows resolution of the four main mitotic phases and the ability to study molecular distributions within these populations. We have employed such an approach to study the prevalence of asymmetric cell division (ACD) within activated immune cells by measuring the distribution of key fate determining molecules across the plane of cytokinesis in a high-throughput, objective, and internally controlled manner. Moreover the ability to perform high-resolution, temporal dissection of the cell division process lends itself perfectly to investigating the influence chemotherapeutic agents exert on the proliferative capacity of transformed cell lines. Here we describe the method in detail and its application to both ACD and general cell cycle analysis.

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 %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 21%
Student > Bachelor 5 21%
Student > Master 3 13%
Student > Ph. D. Student 2 8%
Student > Doctoral Student 1 4%
Other 1 4%
Unknown 7 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 38%
Immunology and Microbiology 3 13%
Agricultural and Biological Sciences 2 8%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Psychology 1 4%
Other 2 8%
Unknown 6 25%