Flow Cytometry is the primary tool in most immunology laboratories for the detailed characterization of lymphocytes and lymphocyte function. The ability to resolve highly complex populations of cells, interrogate the cells one-by-one, make multiple measurements on each cell, and then separate the cells viably for further study make this technology unique and indispensable. Our laboratory has long been involved in pushing this technology forward;we have perhaps the most sophisticated flow cytometer in the world, currently capable of making 20 different measurements on each cell. This platform has proven invaluable in dissecting immune responses to vaccines and viruses. In addition, we are developing novel algorithms for the automated analysis of the highly complex data that results from these experiments.

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Fletez-Brant, Kipper; Å pidlen, Josef; Brinkman, Ryan R et al. (2016) flowClean: Automated identification and removal of fluorescence anomalies in flow cytometry data. Cytometry A 89:461-71
Szomolay, Barbara; Liu, Jie; Brown, Paul E et al. (2016) Identification of human viral protein-derived ligands recognized by individual MHCI-restricted T-cell receptors. Immunol Cell Biol 94:573-82
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Roederer, Mario (2015) Parsimonious Determination of the Optimal Infectious Dose of a Pathogen for Nonhuman Primate Models. PLoS Pathog 11:e1005100
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Mahnke, Yolanda D; Beddall, Margaret H; Roederer, Mario (2015) OMIP-029: Human NK-cell phenotypization. Cytometry A :
Pilipow, Karolina; Roberto, Alessandra; Roederer, Mario et al. (2015) IL15 and T-cell Stemness in T-cell-Based Cancer Immunotherapy. Cancer Res 75:5187-93
Shen, Xiaoying; Duffy, Ryan; Howington, Robert et al. (2015) Vaccine-Induced Linear Epitope-Specific Antibodies to Simian Immunodeficiency Virus SIVmac239 Envelope Are Distinct from Those Induced to the Human Immunodeficiency Virus Type 1 Envelope in Nonhuman Primates. J Virol 89:8643-50

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