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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 15: Accurate Assessment of Cell Death by Imaging Flow Cytometry
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Chapter title
Accurate Assessment of Cell Death by Imaging Flow Cytometry
Chapter number 15
Book title
Imaging Flow Cytometry
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3302-0_15
Pubmed ID
Book ISBNs
978-1-4939-3300-6, 978-1-4939-3302-0
Authors

Aja M. Rieger, Daniel R. Barreda

Abstract

The number of investigators using cell death analysis applications has greatly expanded since the introduction of flow cytometry. The Annexin V/propidium iodide (PI) method is among the most commonly used procedures and allows users to determine if cells are viable, apoptotic, or necrotic, based on changes in membrane lipid composition, integrity, and permeability. Unfortunately, PI can intercalate into RNA, in addition to DNA, which contributes to a large number of events showing PI staining within the cytoplasmic compartment. We show that this occurs across a broad range of animal primary cells and commonly used cell lines, and is most prevalent in large cells (nuclear:cytoplasmic ratio <0.5). Any cellular system where RNA levels change throughout an experiment will be particularly affected, such as those that utilize virally infected cells. As two examples, we highlight our recent work on cells infected with vesicular stomatitis virus (VSV), an RNA virus, and herpes simplex virus-1 (HSV-1), a DNA virus. Similarly, these issues are relevant to experimental systems where cells have increased RNA content such as during genotoxic stress, following exposure to cell cycle arrest drugs such as thymidine or hydroxyurea, or where developmental progression promotes discrete changes in cellular RNA synthesis. This chapter outlines a modified Annexin V/PI method that addresses cytoplasmic RNA staining issues to allow for accurate assessment of cell death. This protocol takes advantage of an additional cellular permeability caused by fixation to promote RNase A entry into the cell. Based on our observations, cell morphological parameters are well maintained and less than 5 % of total cellular events exhibit cytoplasmic PI staining under this protocol.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 40%
Student > Bachelor 1 20%
Researcher 1 20%
Unknown 1 20%
Readers by discipline Count As %
Chemistry 2 40%
Biochemistry, Genetics and Molecular Biology 1 20%
Engineering 1 20%
Unknown 1 20%