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Introduction to Multiparametric Flow Cytometry and Analysis of High-Dimensional Data

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Translational Bioinformatics for Therapeutic Development

Part of the book series: Methods in Molecular Biology ((MIMB,volume 2194))

Abstract

Multiparametric flow cytometry is a technique utilized in translational experiments that utilizes fluorescently tagged antibodies and functional fluorescent dyes to measure proteins on the surface or in the cytoplasm of cells and to measure processes occurring within cells themselves. These fluorescent molecules, or fluorophores, can be tagged to antibodies to measure specific biological molecules such as proteins inside or on the surface of cells. Small organic compounds such as the nucleic acid binding dye propidium iodide (PI) can permeate compromised cell membranes when cells are no longer viable or used to measure DNA content of cycling cells. Successful completion of flow cytometry experiments requires expertise in both the preparation of the samples, acquisition of the samples on instruments, and analyses of the results. This chapter describes the principles needed to conduct a successful multiparameter flow cytometry experiment needed for drug development with references to well established internet resources that are useful to those less experienced in the field. In addition, we provide a brief introduction to data analysis including complex analysis of 10+ parameters simultaneously. These high-dimensional datasets require novel methods for analysis due to the volume of data collected, which are also introduced in this chapter.

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Correspondence to Joseph Markowitz .

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Sun, J., Kroeger, J.L., Markowitz, J. (2021). Introduction to Multiparametric Flow Cytometry and Analysis of High-Dimensional Data. In: Markowitz, J. (eds) Translational Bioinformatics for Therapeutic Development. Methods in Molecular Biology, vol 2194. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-0849-4_13

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  • DOI: https://doi.org/10.1007/978-1-0716-0849-4_13

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  • Publisher Name: Humana, New York, NY

  • Print ISBN: 978-1-0716-0848-7

  • Online ISBN: 978-1-0716-0849-4

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