↓ Skip to main content

Cancer Stem Cells

Overview of attention for book
Cover of 'Cancer Stem Cells'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Introduction to Cancer Stem Cells: Past, Present, and Future
  3. Altmetric Badge
    Chapter 2 Surface Markers for the Identification of Cancer Stem Cells
  4. Altmetric Badge
    Chapter 3 The Role of CD44 and Cancer Stem Cells
  5. Altmetric Badge
    Chapter 4 Evaluation and Isolation of Cancer Stem Cells Using ALDH Activity Assay
  6. Altmetric Badge
    Chapter 5 Isolation of Cancer Stem Cells by Side Population Method
  7. Altmetric Badge
    Chapter 6 Self-Renewal and CSCs In Vitro Enrichment: Growth as Floating Spheres
  8. Altmetric Badge
    Chapter 7 In Vitro Tumorigenic Assay: The Tumor Spheres Assay
  9. Altmetric Badge
    Chapter 8 In Vitro Tumorigenic Assay: Colony Forming Assay for Cancer Stem Cells
  10. Altmetric Badge
    Chapter 9 Xenograft as In Vivo Experimental Model
  11. Altmetric Badge
    Chapter 10 How to Assess Drug Resistance in Cancer Stem Cells
  12. Altmetric Badge
    Chapter 11 Tumor Tissue Analogs for the Assessment of Radioresistance in Cancer Stem Cells
  13. Altmetric Badge
    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)
  14. Altmetric Badge
    Chapter 13 Identification and Isolation of Cancer Stem Cells Using NANOG-EGFP Reporter System
  15. Altmetric Badge
    Chapter 14 Determination of miRNAs from Cancer Stem Cells Using a Low Density Array Platform
  16. Altmetric Badge
    Chapter 15 Assessing DNA Methylation in Cancer Stem Cells
  17. Altmetric Badge
    Chapter 16 Histones Acetylation and Cancer Stem Cells (CSCs)
  18. Altmetric Badge
    Chapter 17 Immunohistochemistry for Cancer Stem Cells Detection: Principles and Methods
  19. Altmetric Badge
    Chapter 18 Circulating Tumor Cells
  20. Altmetric Badge
    Chapter 19 Erratum to: Introduction to Cancer Stem Cells: Past, Present, and Future
Attention for Chapter 5: Isolation of Cancer Stem Cells by Side Population Method
Altmetric Badge

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
35 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Isolation of Cancer Stem Cells by Side Population Method
Chapter number 5
Book title
Cancer Stem Cells
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7401-6_5
Pubmed ID
Book ISBNs
978-1-4939-7400-9, 978-1-4939-7401-6
Authors

Masayuki Shimoda, Masahide Ota, Yasunori Okada

Abstract

The Hoechst side population (SP) method is a flow cytometry technique used to obtain stem cells based on the dye efflux properties of the ATP-binding cassette (ABC) transporters. The SP cells are characterized by their capability to efflux the fluorescent DNA-binding dye Hoechst 33342 through their ABC transporters and are enriched in stem cells, which are endowed with a self-renewal capacity and multilineage differentiation potential and express the stemness genes including ABC multidrug transporters. The protocols outlined in this book chapter describe the isolation method of the SP cells from human lung carcinoma cell lines by using Hoechst 33342. In addition, we refer to the propagation method of SP cells by successive rounds of fluorescence-activated cell sorting analysis for SP cells. These approaches will be helpful for the establishment of novel in vitro and in vivo models using cancer stem cells, which may play a key role during carcinogenesis and/or tumor progression.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 26%
Student > Master 6 17%
Student > Doctoral Student 4 11%
Student > Bachelor 2 6%
Lecturer 2 6%
Other 3 9%
Unknown 9 26%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 14 40%
Pharmacology, Toxicology and Pharmaceutical Science 3 9%
Agricultural and Biological Sciences 2 6%
Medicine and Dentistry 2 6%
Chemistry 2 6%
Other 3 9%
Unknown 9 26%