The Shaping of a B Cell Pool Maximally Responsive to Infections.

IF 3.7 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
ACS Synthetic Biology Pub Date : 2021-04-26 Epub Date: 2021-01-20 DOI:10.1146/annurev-immunol-042718-041238
Nicole Baumgarth
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引用次数: 32

Abstract

B cell subsets differ in development, tissue distribution, and mechanisms of activation. In response to infections, however, all can differentiate into extrafollicular plasmablasts that rapidly provide highly protective antibodies, indicating that these plasmablasts are the main humoral immune response effectors. Yet, the effectiveness of this response type depends on the presence of antigen-specific precursors in the circulating mature B cell pool, a pool that is generated initially through the stochastic processes of B cell receptor assembly. Importantly, germinal centers then mold the repertoire of this B cell pool to be increasingly responsive to pathogens by generating a broad array of antimicrobial memory B cells that act as highly effective precursors of extrafollicular plasmablasts. Such B cell repertoire molding occurs in two ways: continuously via the chronic germinal centers of mucosal lymphoid tissues, driven by the presence of the microbiome, and via de novo generated germinal centers following acute infections. For effectively evaluating humoral immunity as a correlate of immune protection, it might be critical to measure memory B cell pools in addition to antibody titers.

对感染反应最大的B细胞池的形成。
B细胞亚群在发育、组织分布和激活机制上存在差异。然而,在对感染的反应中,它们都能分化为滤泡外质母细胞,并能迅速提供高保护性抗体,这表明这些质母细胞是主要的体液免疫反应效应器。然而,这种反应类型的有效性取决于循环成熟B细胞池中抗原特异性前体的存在,B细胞池最初是通过B细胞受体组装的随机过程产生的。重要的是,生发中心然后通过产生广泛的抗菌记忆B细胞阵列来塑造这个B细胞库的库,使其对病原体的反应越来越灵敏,这些B细胞作为滤泡外质母细胞的高效前体。这种B细胞库形成以两种方式发生:由微生物组的存在驱动,通过粘膜淋巴组织的慢性生发中心持续发生,以及通过急性感染后重新产生的生发中心发生。为了有效地评估体液免疫与免疫保护的相关性,除了抗体滴度外,测量记忆B细胞池可能是至关重要的。
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来源期刊
CiteScore
8.00
自引率
10.60%
发文量
380
审稿时长
6-12 weeks
期刊介绍: The journal is particularly interested in studies on the design and synthesis of new genetic circuits and gene products; computational methods in the design of systems; and integrative applied approaches to understanding disease and metabolism. Topics may include, but are not limited to: Design and optimization of genetic systems Genetic circuit design and their principles for their organization into programs Computational methods to aid the design of genetic systems Experimental methods to quantify genetic parts, circuits, and metabolic fluxes Genetic parts libraries: their creation, analysis, and ontological representation Protein engineering including computational design Metabolic engineering and cellular manufacturing, including biomass conversion Natural product access, engineering, and production Creative and innovative applications of cellular programming Medical applications, tissue engineering, and the programming of therapeutic cells Minimal cell design and construction Genomics and genome replacement strategies Viral engineering Automated and robotic assembly platforms for synthetic biology DNA synthesis methodologies Metagenomics and synthetic metagenomic analysis Bioinformatics applied to gene discovery, chemoinformatics, and pathway construction Gene optimization Methods for genome-scale measurements of transcription and metabolomics Systems biology and methods to integrate multiple data sources in vitro and cell-free synthetic biology and molecular programming Nucleic acid engineering.
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