Advances in human B cell phenotypic profiling
- 1Division of Allergy, Immunology, and Rheumatology, Department of Medicine, University of Rochester, Rochester, NY, USA
- 2Department of Pathology, University of Texas Southwestern Medical Center, Dallas, TX, USA
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.
Keywords: B lymphocyte, human, flow cytometry, data management, autoimmunity, data clustering
Citation: Kaminski DA, Wei C, Qian Y, Rosenberg AF and Sanz I (2012) Advances in human B cell phenotypic profiling. Front. Immun. 3:302. doi: 10.3389/fimmu.2012.00302
Received: 28 June 2012; Accepted: 10 September 2012;
Published online: 10 October 2012.
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
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.
*Correspondence: Denise A. Kaminski, The College Writing Program, University of Rochester, PO Box 270058, Rochester, NY 14627, USA. e-mail: firstname.lastname@example.org; 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: email@example.com
†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.