Article ; Online: Characterization of Definitive Regulatory B Cell Subsets by Cell Surface Phenotype, Function and Context.
2021 Volume 12, Page(s) 787464
Abstract: Regulatory B cell or "Breg" is a broad term that represents the anti-inflammatory activity ... of B cells, but does not describe their individual phenotypes, specific mechanisms of regulation or relevant ... disease contexts. Thus, given the variety of B cell regulatory mechanisms reported in human disease and ...
Abstract | Regulatory B cell or "Breg" is a broad term that represents the anti-inflammatory activity of B cells, but does not describe their individual phenotypes, specific mechanisms of regulation or relevant disease contexts. Thus, given the variety of B cell regulatory mechanisms reported in human disease and their animal models, a more thorough and comprehensive identification strategy is needed for tracking and comparing B cell subsets between research groups and in clinical settings. This review summarizes the discovery process and mechanism of action for well-defined regulatory B cell subsets with an emphasis on the mouse model of multiple sclerosis experimental autoimmune encephalomyelitis. We discuss the importance of conducting thorough B cell phenotyping along with mechanistic studies prior to defining a particular subset of B cells as Breg. Since virtually all B cell subsets can exert regulatory activity, it is timely for their definitive identification across studies. |
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MeSH term(s) | Animals ; B-Lymphocyte Subsets/immunology ; B-Lymphocyte Subsets/metabolism ; B-Lymphocytes, Regulatory/immunology ; B-Lymphocytes, Regulatory/metabolism ; Encephalomyelitis, Autoimmune, Experimental/blood ; Encephalomyelitis, Autoimmune, Experimental/immunology ; Humans ; Immunophenotyping ; Multiple Sclerosis/blood ; Multiple Sclerosis/immunology |
Language | English |
Publishing date | 2021-12-20 |
Publishing country | Switzerland |
Document type | Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't ; Review |
ZDB-ID | 2606827-8 |
ISSN | 1664-3224 ; 1664-3224 |
ISSN (online) | 1664-3224 |
ISSN | 1664-3224 |
DOI | 10.3389/fimmu.2021.787464 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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