High Dimensional Single Cell Cancer Biology -- Studying the Human Immunome: The Complexity of Comprehensive Leukocyte Immunophenotyping -- High-dimensional Analysis of Human CD8+ T Cell Phenotype, Function and Antigen-Specificity -- Mass Cytometry to Decipher the Mechanism of Non-genetic Drug Resistance in Cancer -- A Practical Guide to Multiplexed Mass Cytometry -- Analysis of Protein Interactions in situ by Proximity Ligation Assays -- Cytobank: Providing an Analytics Platform for Community Cytometry Data Analysis and Collaboration -- Computational Analysis of High-Dimensional Flow Cytometric Data for Diagnosis and Discovery -- Shooting Movies of Signaling Network Dynamics with Multiparametric Cytometry -- Hyperspectral Cytometry

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