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Biomedical Sciences - Immunology | High-Dimensional Single Cell Analysis - Mass Cytometry, Multi-parametric Flow Cytometry and Bioinformatic

High-Dimensional Single Cell Analysis

Mass Cytometry, Multi-parametric Flow Cytometry and Bioinformatic Techniques

Fienberg, Harris G., Nolan, Garry P. (Eds.)

2014, X, 215 p. 68 illus., 67 illus. in color.

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  • Addresses most interesting questions and applications enabled by high dimensional flow cytometry
  • Reviews current practical approaches used to perform mass cytometry experiments
  • Covers key bioinformatic techniques developed to facilitate analysis of data sets involving dozens of parameters in millions of single cells

This volume highlights the most interesting biomedical and clinical applications of high-dimensional flow and mass cytometry. It reviews current practical approaches used to perform high-dimensional experiments and addresses key bioinformatic techniques for the analysis of data sets involving dozens of parameters in millions of single cells. Topics include single cell cancer biology; studies of the human immunome; exploration of immunological cell types such as CD8+ T cells; decipherment of signaling processes of cancer; mass-tag cellular barcoding; analysis of protein interactions by proximity ligation assays; Cytobank, a platform for the analysis of cytometry data; computational analysis of high-dimensional flow cytometric data; computational deconvolution approaches for the description of intracellular signaling dynamics; and hyperspectral cytometry. All 10 chapters of this book have been written by respected experts in their fields. It is  an invaluable reference book for both basic and clinical researchers.

Content Level » Research

Keywords » Apoptotic signaling - Cancer cell subsets - Lymphoma - Mass cytometry - Multi-parametric flow cytometry - Pediatric leukemia - Single cell biology - T cell phenotype

Related subjects » Cancer Research - Immunology - Systems Biology and Bioinformatics

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