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Cancer Stem Cells

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Cover of 'Cancer Stem Cells'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction to Cancer Stem Cells: Past, Present, and Future
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    Chapter 2 Surface Markers for the Identification of Cancer Stem Cells
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    Chapter 3 The Role of CD44 and Cancer Stem Cells
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    Chapter 4 Evaluation and Isolation of Cancer Stem Cells Using ALDH Activity Assay
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    Chapter 5 Isolation of Cancer Stem Cells by Side Population Method
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    Chapter 6 Self-Renewal and CSCs In Vitro Enrichment: Growth as Floating Spheres
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    Chapter 7 In Vitro Tumorigenic Assay: The Tumor Spheres Assay
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    Chapter 8 In Vitro Tumorigenic Assay: Colony Forming Assay for Cancer Stem Cells
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    Chapter 9 Xenograft as In Vivo Experimental Model
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    Chapter 10 How to Assess Drug Resistance in Cancer Stem Cells
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    Chapter 11 Tumor Tissue Analogs for the Assessment of Radioresistance in Cancer Stem Cells
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    Chapter 12 Generation of In Vitro Model of Epithelial Mesenchymal Transition (EMT) Via the Expression of a Cytoplasmic Mutant Form of Promylocytic Leukemia Protein (PML)
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    Chapter 13 Identification and Isolation of Cancer Stem Cells Using NANOG-EGFP Reporter System
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    Chapter 14 Determination of miRNAs from Cancer Stem Cells Using a Low Density Array Platform
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    Chapter 15 Assessing DNA Methylation in Cancer Stem Cells
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    Chapter 16 Histones Acetylation and Cancer Stem Cells (CSCs)
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    Chapter 17 Immunohistochemistry for Cancer Stem Cells Detection: Principles and Methods
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    Chapter 18 Circulating Tumor Cells
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    Chapter 19 Erratum to: Introduction to Cancer Stem Cells: Past, Present, and Future
Attention for Chapter 6: Self-Renewal and CSCs In Vitro Enrichment: Growth as Floating Spheres
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Chapter title
Self-Renewal and CSCs In Vitro Enrichment: Growth as Floating Spheres
Chapter number 6
Book title
Cancer Stem Cells
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7401-6_6
Pubmed ID
Book ISBNs
978-1-4939-7400-9, 978-1-4939-7401-6
Authors

Pooja Mehta, Caymen Novak, Shreya Raghavan, Maria Ward, Geeta Mehta, Mehta, Pooja, Novak, Caymen, Raghavan, Shreya, Ward, Maria, Mehta, Geeta

Abstract

Cancer stem cells (CSC) are a vital component to the progression and reoccurrence of cancers, making them a primary target of study for both fundamental understanding of cancer biology and the development of effective and targeted treatments. CSCs reside in a complex 3D microenvironment, and the 3D spheroids are an indispensable tool in tumor biology due to their 3D structure and replication of the tumor microenvironment. Within this chapter the methodology for CSC isolation, suspension culture in hanging drop model, and characterization assays for CSC are described. First, the methodology for identifying and isolating CSCs from patient tumors, ascites, or cancer cell lines is described through the use of FACS analysis. Next, a detailed description of 3D hanging drop model for generating CSC spheroids is provided, followed by maintenance and monitoring techniques for extended 3D culture. Analysis methods are described for the quantification of CSC spheroid proliferation and viability tracking, throughout culture by on-plate alamarBlue fluorescence. Additional viability assays are described utilizing confocal microscopy with Live/Dead Viability/Cytotoxicity Kit. The characterization of CSCs populations within spheroids is described through FACS analysis. Further, an immunohistochemistry procedure is described for cell-cell and cell-matrix interaction assessment. Finally, several notes and tips for successful experiments with 3D CSC spheroids on the hanging drop model are provided. These methods are not only applicable to CSCs within a variety of tumor cell types, for not only understanding the fundamental tumor biology, but also for drug screening and development of preclinical chemotherapeutic strategies.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 25%
Researcher 6 14%
Student > Master 4 9%
Student > Doctoral Student 3 7%
Other 2 5%
Other 6 14%
Unknown 12 27%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 20%
Medicine and Dentistry 7 16%
Agricultural and Biological Sciences 4 9%
Engineering 3 7%
Pharmacology, Toxicology and Pharmaceutical Science 2 5%
Other 6 14%
Unknown 13 30%