Suppr超能文献

从抗体库到细胞-细胞相互作用再到分子网络:在生发中心架起尺度桥梁。

From Antibody Repertoires to Cell-Cell Interactions to Molecular Networks: Bridging Scales in the Germinal Center.

机构信息

Signaling Systems Laboratory, Department of Microbiology, Immunology, and Molecular Genetics, and Institute for Quantitative and Computational Biosciences, University of California, Los Angeles, Los Angeles, CA, United States.

出版信息

Front Immunol. 2022 May 4;13:898078. doi: 10.3389/fimmu.2022.898078. eCollection 2022.

Abstract

Antibody-mediated adaptive immunity must provide effective long-term protection with minimal adverse effects, against rapidly mutating pathogens, in a human population with diverse ages, genetics, and immune histories. In order to grasp and leverage the complexities of the antibody response, we advocate for a mechanistic understanding of the multiscale germinal center (GC) reaction - the process by which precursor B-cells evolve high-affinity antigen-specific antibodies, forming an effector repertoire of plasma and memory cells for decades-long protection. The regulatory dynamics of B-cells within the GC are complex, and unfold across multiple interacting spatial and temporal scales. At the organism scale, over weeks to years, the antibody sequence repertoire formed by various B-cell clonal lineages modulates antibody quantity and quality over time. At the tissue and cellular scale, over hours to weeks, B-cells undergo selection spatially distributed interactions with local stroma, antigen, and helper T-cells. At the molecular scale, over seconds to days, intracellular signaling, transcriptional, and epigenetic networks modulate B-cell fates and shape their clonal lineages. We summarize our current understanding within each of these scales, and identify missing links in connecting them. We suggest that quantitative multi-scale mathematical models of B-cell and GC reaction dynamics provide predictive frameworks that can apply basic immunological knowledge to practical challenges such as rational vaccine design.

摘要

抗体介导的适应性免疫必须在最小的不良反应下,针对快速突变的病原体,为具有不同年龄、遗传和免疫史的人群提供有效的长期保护。为了掌握和利用抗体反应的复杂性,我们倡导对生发中心(GC)反应的机制理解 - 前体细胞 B 细胞进化出高亲和力抗原特异性抗体的过程,形成了数十年保护的浆细胞和记忆细胞效应器库。GC 内 B 细胞的调节动力学很复杂,并且在多个相互作用的时空尺度上展开。在机体尺度上,数周到数年,各种 B 细胞克隆谱系形成的抗体序列库随时间调节抗体的数量和质量。在组织和细胞尺度上,数小时到数周,B 细胞经历空间分布的选择与局部基质、抗原和辅助 T 细胞的相互作用。在分子尺度上,数秒到数天,细胞内信号、转录和表观遗传网络调节 B 细胞命运并塑造它们的克隆谱系。我们总结了我们在这些尺度内的当前理解,并确定了它们之间的缺失环节。我们建议,B 细胞和 GC 反应动力学的定量多尺度数学模型提供了预测框架,可以将基本免疫学知识应用于合理疫苗设计等实际挑战。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4162/9114758/7df31cd98eb6/fimmu-13-898078-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验