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High-Dimensional Single-Cell Cancer Biology

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Book cover High-Dimensional Single Cell Analysis

Part of the book series: Current Topics in Microbiology and Immunology ((CT MICROBIOLOGY,volume 377))

Abstract

Cancer cells are distinguished from each other and from healthy cells by features that drive clonal evolution and therapy resistance. New advances in high-dimensional flow cytometry make it possible to systematically measure mechanisms of tumor initiation, progression, and therapy resistance on millions of cells from human tumors. Here we describe flow cytometry techniques that enable a “single-cell ” view of cancer. High-dimensional techniques like mass cytometry enable multiplexed single-cell analysis of cell identity, clinical biomarkers, signaling network phospho-proteins, transcription factors, and functional readouts of proliferation, cell cycle status, and apoptosis. This capability pairs well with a signaling profiles approach that dissects mechanism by systematically perturbing and measuring many nodes in a signaling network. Single-cell approaches enable study of cellular heterogeneity of primary tissues and turn cell subsets into experimental controls or opportunities for new discovery. Rare populations of stem cells or therapy-resistant cancer cells can be identified and compared to other types of cells within the same sample. In the long term, these techniques will enable tracking of minimal residual disease (MRD) and disease progression. By better understanding biological systems that control development and cell–cell interactions in healthy and diseased contexts, we can learn to program cells to become therapeutic agents or target malignant signaling events to specifically kill cancer cells. Single-cell approaches that provide deep insight into cell signaling and fate decisions will be critical to optimizing the next generation of cancer treatments combining targeted approaches and immunotherapy.

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Authors and Affiliations

  1. Vanderbilt University, Nashville, TN, USA

    Jonathan M. Irish & Deon B. Doxie

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  1. Jonathan M. Irish
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  2. Deon B. Doxie
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Correspondence to Jonathan M. Irish .

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Editors and Affiliations

  1. Center for Clinical Sciences Research, Department of Microbiology and Immunology, Stanford School of Medicine, Stanford, California, USA

    Harris G. Fienberg

  2. Center for Clinical Sciences Research, Department of Microbiology and Immunology, Stanford School of Medicine, Stanford, California, USA

    Garry P. Nolan

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Irish, J.M., Doxie, D.B. (2014). High-Dimensional Single-Cell Cancer Biology. In: Fienberg, H., Nolan, G. (eds) High-Dimensional Single Cell Analysis. Current Topics in Microbiology and Immunology, vol 377. Springer, Berlin, Heidelberg. https://doi.org/10.1007/82_2014_367

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