High-Dimensional Single Cell Analysis Mass Cytometry, Multi-parametric Flow Cytometry and Bioinformatic Techniques

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.

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.