Protocol

Autoimmunity

Volume 900 of the series Methods in Molecular Biology pp 109-134

Date:

Multiparameter Flow Cytometry and Bioanalytics for B Cell Profiling in Systemic Lupus Erythematosus

  • Denise A. KaminskiAffiliated withDivision of Allergy, Immunology, and Rheumatology, Department of Medicine, University of Rochester Medical Center
  • , Chungwen WeiAffiliated withDivision of Allergy, Immunology, and Rheumatology, Department of Medicine, University of Rochester Medical Center
  • , Alexander F. RosenbergAffiliated withDivision of Allergy, Immunology, and Rheumatology, Department of Medicine, University of Rochester Medical Center
  • , F. Eun-Hung LeeAffiliated withDivision of Allergy, Immunology, and Rheumatology, Department of Medicine, University of Rochester Medical Center
  • , Ignacio SanzAffiliated withDivision of Allergy, Immunology, and Rheumatology, Department of Medicine, University of Rochester Medical Center Email author 

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Abstract

B lymphocyte involvement in systemic lupus erythematosus has been recognized for several decades, mainly in the context of autoantibody production. Both mouse and human studies reveal that different types of antibody responses, as well as antibody-independent effector functions can be ascribed to distinct subpopulations (subsets) of circulating B cells. Characterizing human B cell subsets can advance the field of autoimmunity even further by establishing B cell signatures associated with disease severity, progression, and response-to-treatment. For this purpose, we have developed specialized B cell reagent panels for multiparameter flow cytometry, and combine their use with advanced bioinformatics strategies that together will likely be advantageous for improving the characterization, prognosis, and for possibly improving treatment regimens of chronic inflammatory diseases such as lupus.

Key words

B lymphocyte Autoantibody 9G4 Transitional B cell Mature-naïve B cell Memory B cell Antibody-secreting cell B cell subset Systemic lupus erythematosus Principal component analysis