Skip to main content
SpringerLink
Log in

Flow Cytometric Analysis of Brain Tumor Stem Cells

  • Protocol
  • First Online:
Brain Tumor Stem Cells

Part of the book series: Methods in Molecular Biology ((MIMB,volume 1869))

Abstract

As a useful biotechnology, flow cytometry has revolutionized the field of cell analysis through its dynamic system that employs fluidics, optics, and electronics. It was first used to analyze DNA, but is often used to determine biomarker expression, as well as to characterize and sort cells, in accordance with various parameters. A common application of flow cytometry is the identification and isolation of a distinct cancer cell population, known as cancer stem cells (CSCs). Various biomarkers have been used to elucidate this proportion of cells within the brain, termed brain tumor initiating cells (BTICs). Here, we discuss methodology to prepare BTICs for flow cytometric analysis that includes the expression of markers.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Protocol
USD 49.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Herzenberg LA, Parks D, Sahaf B et al (2002) The history and future of the fluorescence activated cell sorter and flow cytometry: a view from stanford. Clin Chem 48:1819–1827

    CAS  PubMed  Google Scholar 

  2. Shapiro HM (2003) Practical flow cytometry. John Wiley & Sons, Hoboken, NJ

    Book  Google Scholar 

  3. Brown M, Wittwer C (2000) Flow cytometry: principles and clinical applications in hematology. Clin Chem 46:1221–1229

    CAS  PubMed  Google Scholar 

  4. Álvarez-Barrientios A, Arroyo J, Cantón R, Nombela C, Sánchez-Pérez M (2000) Applications of flow cytometry to clinical microbiology. Clin Microbiol Rev 13:167–195

    Article  Google Scholar 

  5. Suthanthiraraj PPA, Graves S (2014) Fluidics. Curr Protoc Cytom:1–22

    Google Scholar 

  6. Friedlander ML, Hedley DW, Taylor IW et al (2006) Influence of cellular DMA content on survival in advanced ovarian cancer. Cancer Res 44:397–400

    Google Scholar 

  7. Collins AT, Berry PA, Hyde C et al (2005) Prospective identification of tumorigenic prostate cancer stem cells. Cancer Res 65:10946–10952

    Article  CAS  PubMed  Google Scholar 

  8. Dressler LG, Seamer LC, Owens MA, Clark GM, McGuire WL (1988) DNA flow cytometry and prognostic factors in 1331 frozen breast cancer specimens. Cancer 61:420–427

    Article  CAS  PubMed  Google Scholar 

  9. Reid BJ, Levine DS, Longton G et al (2000) Predictors of progression to cancer in Barrett’s esophagus: baseline histology and flow cytometry identify low- and high-risk patient subsets. Am J Gastroenterol 95:1669–1676

    CAS  PubMed  PubMed Central  Google Scholar 

  10. Li C, Heidt DG, Dalerba P, Burant CF et al (2007) Identification of pancreatic cancer stem cells. Cancer Res 67:1030–1037

    Article  CAS  PubMed  Google Scholar 

  11. Brien CAO, Pollett A, Gallinger S, Dick JE (2007) A human colon cancer cell capable of initiating tumor growth in immunodeficient mice. Nat Lett 445:106–110

    Article  Google Scholar 

  12. Bonnet D, Dick JE (1997) Human acute myeloid leukemia is organized as a hierarchy that originates from a primitive hematopoietic cell. Nat Med 3:730–737

    Article  CAS  PubMed  Google Scholar 

  13. Singh SK, Clarke ID, Terasaki M et al (2003) Identification of a cancer stem cell in human brain tumors. Cancer Res 63:5821–5828

    CAS  PubMed  Google Scholar 

  14. Singh SK, Hawkins C, Clarke ID et al (2004) Identification of human brain tumour initiating cells. Nature 432:396–401

    Article  CAS  PubMed  Google Scholar 

  15. Read TA, Fogarty MP, Markant SL et al (2009) Identification of CD15 as a marker for tumor-propagating cells in a mouse model of medulloblastoma. Cancer Cell 15:135–147

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Son MJ, Woodlard K, Nam DH et al (2009) SSEA-a is an enrichment marker for tumor-initiating cells in human glioblastoma. Cancer Stem Cell 4:440–452

    CAS  Google Scholar 

  17. Sonnenfeld KH, Ishii DN (1982) Nerve growth factor effects and receptors in cultured human neuroblastoma cell lines. J Neurosci Res 8:375–391

    Article  CAS  PubMed  Google Scholar 

  18. Barnes M, Eberhart CG, Collins R, Tihan T (2009) Expression of p7NTR in fetal brain and medulloblastmas: evidence of a precursor cell marker and its persistence in neoplasia. J Neuro-Oncol 92:193–201

    Article  CAS  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. McMaster Stem Cell and Cancer Research Institute, McMaster University, Hamilton, ON, Canada

    Minomi K. Subapanditha & Ashley A. Adile

  2. Department of Biochemistry and Biomedical Sciences, Faculty of Health Sciences, McMaster University, Hamilton, ON, Canada

    Minomi K. Subapanditha & Ashley A. Adile

  3. Department of Surgery, Faculty of Health Sciences, McMaster University, Hamilton, ON, Canada

    Chitra Venugopal

  4. Stem Cell and Cancer Research Institute, McMaster University, Hamilton, ON, Canada

    Chitra Venugopal & Sheila K. Singh

  5. Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, ON, Canada

    Sheila K. Singh

  6. Department of Surgery, McMaster University, Hamilton, ON, Canada

    Sheila K. Singh

Authors
  1. Minomi K. Subapanditha
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Ashley A. Adile
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Chitra Venugopal
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Sheila K. Singh
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Sheila K. Singh .

Editor information

Editors and Affiliations

  1. Stem Cell and Cancer Research Institute, McMaster University, Hamilton, ON, Canada

    Sheila K. Singh

  2. Stem Cell and Cancer Research Institute, McMaster University, Hamilton, ON, Canada

    Chitra Venugopal

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Science+Business Media, LLC, part of Springer Nature

About this protocol

Check for updates. Verify currency and authenticity via CrossMark

Cite this protocol

Subapanditha, M.K., Adile, A.A., Venugopal, C., Singh, S.K. (2019). Flow Cytometric Analysis of Brain Tumor Stem Cells. In: Singh, S., Venugopal, C. (eds) Brain Tumor Stem Cells. Methods in Molecular Biology, vol 1869. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-8805-1_6

Download citation

  • DOI: https://doi.org/10.1007/978-1-4939-8805-1_6

  • Published:

  • Publisher Name: Humana Press, New York, NY

  • Print ISBN: 978-1-4939-8804-4

  • Online ISBN: 978-1-4939-8805-1

  • eBook Packages: Springer Protocols

Publish with us

Policies and ethics

Search

Navigation