title: Advances in human B cell phenotypic profiling.
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.
authors.affiliation: Division of Allergy, Immunology, and Rheumatology, Department of Medicine, University of Rochester Rochester, NY, USA.
authors.forename: Denise A
authors.initials: DA
authors.lastname: Kaminski
authors.forename: Chungwen
authors.initials: C
authors.lastname: Wei
authors.forename: Yu
authors.initials: Y
authors.lastname: Qian
authors.forename: Alexander F
authors.initials: AF
authors.lastname: Rosenberg
authors.forename: Ignacio
authors.initials: I
authors.lastname: Sanz
keywords: B lymphocyte; autoimmunity; data clustering; data management; flow cytometry; human