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      Advances in Human B Cell Phenotypic Profiling

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          Abstract

          To advance our understanding and treatment of disease, research immunologists have been called-upon to place more centralized emphasis on impactful human studies. Such endeavors will inevitably require large-scale study execution and data management regulation (“Big Biology”), necessitating standardized and reliable metrics of immune status and function. A well-known example setting this large-scale effort in-motion is identifying correlations between eventual disease outcome and T lymphocyte phenotype in large HIV-patient cohorts using multiparameter flow cytometry. However, infection, immunodeficiency, and autoimmunity are also characterized by correlative and functional contributions of B lymphocytes, which to-date have received much less attention in the human Big Biology enterprise. Here, we review progress in human B cell phenotyping, analysis, and bioinformatics tools that constitute valuable resources for the B cell research community to effectively join in this effort.

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          Most cited references122

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          Standardizing immunophenotyping for the Human Immunology Project.

          The heterogeneity in the healthy human immune system, and the immunological changes that portend various diseases, have been only partially described. Their comprehensive elucidation has been termed the 'Human Immunology Project'. The accurate measurement of variations in the human immune system requires precise and standardized assays to distinguish true biological changes from technical artefacts. Thus, to be successful, the Human Immunology Project will require standardized assays for immunophenotyping humans in health and disease. A major tool in this effort is flow cytometry, which remains highly variable with regard to sample handling, reagents, instrument setup and data analysis. In this Review, we outline the current state of standardization of flow cytometry assays and summarize the steps that are required to enable the Human Immunology Project.
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            Extracting a Cellular Hierarchy from High-dimensional Cytometry Data with SPADE

            Multiparametric single-cell analysis is critical for understanding cellular heterogeneity. Despite recent technological advances in single-cell measurements, methods for analyzing high-dimensional single-cell data are often subjective, labor intensive and require prior knowledge of the biological system under investigation. To objectively uncover cellular heterogeneity from single-cell measurements, we present a novel computational approach, Spanning-tree Progression Analysis of Density-normalized Events (SPADE). We applied SPADE to cytometry data of mouse and human bone marrow. In both cases, SPADE organized cells in a hierarchy of related phenotypes that partially recapitulated well-described patterns of hematopoiesis. In addition, SPADE produced a map of intracellular signal activation across the landscape of human hematopoietic development. SPADE revealed a functionally distinct cell population, natural killer (NK) cells, without using any NK-specific parameters. SPADE is a versatile method that facilitates the analysis of cellular heterogeneity, the identification of cell types, and comparison of functional markers in response to perturbations.
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              Humoral immunity due to long-lived plasma cells.

              Conventional models suggest that long-term antibody responses are maintained by the continuous differentiation of memory B cells into antibody-secreting plasma cells. This is based on the notion that plasma cells are short-lived and need to be continually replenished by memory B cells. We examined the issue of plasma cell longevity by following the persistence of LCMV-specific antibody and plasma cell numbers after in vivo depletion of memory B cells and by adoptive transfer of virus-specific plasma cells into naive mice. The results show that a substantial fraction of plasma cells can survive and continue to secrete antibody for extended periods of time (>1 year) in the absence of any detectable memory B cells. This study documents the existence of long-lived plasma cells and demonstrates a new mechanism by which humoral immunity is maintained.
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                Author and article information

                Journal
                Front Immunol
                Front Immunol
                Front. Immun.
                Frontiers in Immunology
                Frontiers Research Foundation
                1664-3224
                10 October 2012
                2012
                : 3
                : 302
                Affiliations
                [1] 1Division of Allergy, Immunology, and Rheumatology, Department of Medicine, University of Rochester Rochester, NY, USA
                [2] 2Department of Pathology, University of Texas Southwestern Medical Center Dallas, TX, USA
                Author notes

                Edited by: John W. Schrader, The University of British Columbia, Canada

                Reviewed by: Alberto Martin, University of Toronto, Canada; Bonnie B. Blomberg, University of Miami Miller School of Medicine, USA

                *Correspondence: Denise A. Kaminski, The College Writing Program, University of Rochester, PO Box 270058, Rochester, NY 14627, USA. e-mail: dkamins2@ 123456z.rochester.edu ; Ignacio Sanz, Division of Rheumatology, Lowance Center for Human Immunology, Emory University, 247 Whitehead Biomedical Research Building, 615 Michael Street, Atlanta, GA 30322, USA. e-mail: ignacio.sanz@ 123456emory.edu

                Current address: Chungwen Wei, Division of Rheumatology, Lowance Center for Human Immunology, Emory University, Atlanta, GA, USA.; Yu Qian, Informatics Team, J. Craig Venter Institute, LaJolla, CA, USA.

                This article was submitted to Frontiers in B Cell Biology, a specialty of Frontiers in Immunology.

                Article
                10.3389/fimmu.2012.00302
                3467643
                23087687
                a4a4d888-f2a9-4c34-bea5-9683aa7ff785
                Copyright © 2012 Kaminski, Wei, Qian, Rosenberg and Sanz.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in other forums, provided the original authors and source are credited and subject to any copyright notices concerning any third-party graphics etc.

                History
                : 28 June 2012
                : 10 September 2012
                Page count
                Figures: 2, Tables: 3, Equations: 0, References: 171, Pages: 15, Words: 14774
                Categories
                Immunology
                Review Article

                Immunology
                human,b lymphocyte,data clustering,flow cytometry,data management,autoimmunity
                Immunology
                human, b lymphocyte, data clustering, flow cytometry, data management, autoimmunity

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