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Phagocytosis and Phagosomes

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Cover of 'Phagocytosis and Phagosomes'

Table of Contents

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    Book Overview
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    Chapter 1 Phagocytosis: Hungry, Hungry Cells.
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    Chapter 2 Analysis of Human and Mouse Neutrophil Phagocytosis by Flow Cytometry.
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    Chapter 3 Quantitative Efferocytosis Assays.
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    Chapter 4 Quantifying Phagocytosis by Immunofluorescence and Microscopy.
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    Chapter 5 Single Cell Analysis of Phagocytosis, Phagosome Maturation, Phagolysosomal Leakage, and Cell Death Following Exposure of Macrophages to Silica Particles.
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    Chapter 6 Quantitative Live-Cell Fluorescence Microscopy During Phagocytosis.
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    Chapter 7 Intracellular Manipulation of Phagosomal Transport and Maturation Using Magnetic Tweezers.
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    Chapter 8 Quantitative Immunofluorescence to Study Phagosome Maturation.
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    Chapter 9 Using Fluorescence Resonance Energy Transfer-Based Biosensors to Probe Rho GTPase Activation During Phagocytosis.
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    Chapter 10 Analysis of LC3-Associated Phagocytosis and Antigen Presentation.
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    Chapter 11 Quantitative Spatiotemporal Analysis of Phagosome Maturation in Live Cells.
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    Chapter 12 Measuring Phagosomal pH by Fluorescence Microscopy.
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    Chapter 13 Image-Based Analysis of Phagocytosis: Measuring Engulfment and Internalization.
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    Chapter 14 Fluorometric Approaches to Measuring Reductive and Oxidative Events in Phagosomes.
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    Chapter 15 Simultaneous Analysis of Multiple Lumenal Parameters of Individual Phagosomes Using High-Content Imaging.
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    Chapter 16 Isolation and Western Blotting of Latex-Bead Phagosomes to Track Phagosome Maturation.
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    Chapter 17 Assessing the Phagosome Proteome by Quantitative Mass Spectrometry.
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    Chapter 18 Dissecting Phagocytic Removal of Apoptotic Cells in Caenorhabditis elegans.
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    Chapter 19 Measurement of Salmonella enterica Internalization and Vacuole Lysis in Epithelial Cells.
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    Chapter 20 Bacterial Binding, Phagocytosis, and Killing: Measurements Using Colony Forming Units.
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    Chapter 21 Filamentous Bacteria as Targets to Study Phagocytosis.
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    Chapter 22 Growing and Handling of Mycobacterium tuberculosis for Macrophage Infection Assays.
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    Chapter 23 Mycobacterium tuberculosis: Readouts of Bacterial Fitness and the Environment Within the Phagosome.
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    Chapter 24 Using Flow Cytometry to Analyze Cryptococcus Infection of Macrophages.
Attention for Chapter 24: Using Flow Cytometry to Analyze Cryptococcus Infection of Macrophages.
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Chapter title
Using Flow Cytometry to Analyze Cryptococcus Infection of Macrophages.
Chapter number 24
Book title
Phagocytosis and Phagosomes
Published in
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-6581-6_24
Pubmed ID
Book ISBNs
978-1-4939-6579-3, 978-1-4939-6581-6
Authors

Robert J. Evans, Kerstin Voelz, Simon A. Johnston, Robin C. May, Evans, Robert J, Voelz, Kerstin, Johnston, Simon A, May, Robin C, Evans, Robert J., Johnston, Simon A., May, Robin C.

Editors

Roberto Botelho

Abstract

Flow cytometry is a powerful analytical technique, which is increasingly being used to study the interaction between host cells and intracellular pathogens. Flow cytometry is capable of measuring a greater number of infected cells within a sample compared to alternative techniques such as fluorescence microscopy. This means that robust quantification of rare events during infection is possible. Our lab and others have developed flow cytometry methods to study interactions between host cells and intracellular pathogens, such as Cryptococcus neoformans, to quantify phagocytosis, intracellular replication, and non-lytic expulsion or "vomocytosis" from the phagosome. Herein we describe these methods and how they can be applied to the study of C. neoformans as well as other similar intracellular pathogens.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 24%
Student > Ph. D. Student 4 14%
Student > Bachelor 2 7%
Student > Doctoral Student 2 7%
Student > Postgraduate 2 7%
Other 6 21%
Unknown 6 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 21%
Immunology and Microbiology 4 14%
Medicine and Dentistry 3 10%
Neuroscience 2 7%
Agricultural and Biological Sciences 2 7%
Other 4 14%
Unknown 8 28%