OMIP 074: Phenotypic analysis of IgG and IgA subclasses on human B cells.
OMIP 074: Phenotypic analysis of IgG and IgA subclasses on human B cells.
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OMIP 074:人B细胞上IgG和伊加亚类的表型分析。
DOI:
10.1002/cyto.a.24341
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发表时间:
2021-09
期刊:
影响因子:
--
通讯作者:
Mason RD
中科院分区:
文献类型:
--
作者:
Nettey L;Ballard R;Liechti T;Mason RD
2 BACKGROUNDAntibody discovery research has been instrumental in facilitating the isolation and characterization of therapeutic monoclonal antibodies (mAbs) for cancer [1], autoimmune diseases [2], and infectious diseases, such as influenza and human immunodeficiency virus-1 (HIV-1)[3, 4]. The approaches to human antibody isolation include B cell immortalization, yeast or phage display, single B cell culture, and antigen-specific single B cell sorting [5]. The latter two methods rely on single-cell sorting of memory B cells and typically employ a dump/exclusion gate to remove contaminating T cells (CD3− CD4− CD8−), monocytes/macrophages (CD14−) and dead cells (viability dye), and a staining panel to include B cell markers (CD19+ CD20+) and class-switched memory B cell markers (IgD− IgM− IgG+ CD27+). Unfortunately, none of these antibody isolation methods are designed to capture B cell immunoglobulin subclass information which is typically assessed by separate analysis of serum or plasma samples by enzyme-linked immunosorbent assay (ELISA). Likewise, flow-based methods to provide a simultaneous readout of both antibody specificity and subclass rely on assaying soluble antibodies present in serum or plasma samples rather than phenotyping B cells directly [6]. Despite relatively minor differences in amino acid sequence, each immunoglobulin subclass has important functional differences with respect to antigen binding and stimulation of Fc receptor-mediated phagocytosis, antibody-dependent cell-mediated cytotoxicity (ADCC), and complement activation [7]. Thus, with growing interest in mining the antibody repertoire to identify functional antigen-specific mAbs from individual B cells, we designed and optimized a panel to capture antibody subclass information at the single-cell level (Figure 1, Table 2, Figures S1 and S2).
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影响因子:
3.7
作者:
Wei, Chungwen;Jung, John;Sanz, Inaki
通讯作者:
Sanz, Inaki
DOI:
10.1038/nri2524
发表时间:
2009-04
期刊:
Nature reviews. Immunology
影响因子:
--
作者:
通讯作者:
--
影响因子:
3.7
作者:
Liechti, Thomas;Roederer, Mario
通讯作者:
Roederer, Mario
DOI:
10.1007/978-981-13-0502-3_8
发表时间:
2018-01-01
期刊:
SINGLE CELL BIOMEDICINE
影响因子:
--
作者:
Voigt, Alexandria;Semenova, Touyana;Nguyen, Cuong Q.
通讯作者:
Nguyen, Cuong Q.
影响因子:
3.7
作者:
Carrell, Jeffrey;Groves, Christopher J.
通讯作者:
Groves, Christopher J.