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Analysis of Signaling Networks at the Single-Cell Level Using Mass Cytometry

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Kinase Signaling Networks

Part of the book series: Methods in Molecular Biology ((MIMB,volume 1636))

Abstract

Mass cytometry is a powerful technology that enables the measurement of >40 parameters at the single-cell level. The inherent spectral limitations of fluorescent flow cytometry are circumvented by the use of antibodies conjugated to metal isotope reporters, which are measured quantitatively using a CyTOF mass cytometer. The high dimensionality of mass cytometry is particularly useful for the analysis of cell signaling networks in complex biological samples. We describe here methods for cell preparation, antibody staining, data acquisition, and analysis of multidimensional data from a mass cytometry experiment.

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Author information

Author notes

  1. Shovik Bandyopadhyay and Daniel A.C. Fisher contributed equally to this work.

Authors and Affiliations

  1. Division of Hematology, Washington University School of Medicine, 660 S. Euclid Ave., Campus Box 8125, St. Louis, MO, 63110, USA

    Shovik Bandyopadhyay, Daniel A. C. Fisher & Stephen T. Oh M.D., Ph.D.

  2. Center for Human Immunology and Immunotherapy Programs, Washington University School of Medicine, St. Louis, MO, USA

    Olga Malkova & Stephen T. Oh M.D., Ph.D.

Authors
  1. Shovik Bandyopadhyay
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  2. Daniel A. C. Fisher
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  3. Olga Malkova
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  4. Stephen T. Oh M.D., Ph.D.
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Corresponding author

Correspondence to Stephen T. Oh M.D., Ph.D. .

Editor information

Editors and Affiliations

  1. Division of Medical Oncology, University of Colorado, Aurora, Colorado, USA

    Aik-Choon Tan

  2. Protein Networks Laboratory, Institute of Cancer Research, London, United Kingdom

    Paul H. Huang

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Bandyopadhyay, S., Fisher, D.A.C., Malkova, O., Oh, S.T. (2017). Analysis of Signaling Networks at the Single-Cell Level Using Mass Cytometry. In: Tan, AC., Huang, P. (eds) Kinase Signaling Networks. Methods in Molecular Biology, vol 1636. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-7154-1_24

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  • DOI: https://doi.org/10.1007/978-1-4939-7154-1_24

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  • Publisher Name: Humana Press, New York, NY

  • Print ISBN: 978-1-4939-7152-7

  • Online ISBN: 978-1-4939-7154-1

  • eBook Packages: Springer Protocols

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