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

High-Dimensional Single-Cell Analysis. Mass Cytometry, Multi-parametric Flow Cytometry and Bioinformatic Techniques. Edited by H.G. Fienberg, G.P. Nolan. 2014, pp. 215, Eur 149.79, ISBN: 978-3-642-54826-0. Springer Science + Business Media, New York, NY, USA.

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.