• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

系统分析揭示了在整个B细胞发育过程中抗体库的高度遗传和抗原驱动的预先决定。

Systems Analysis Reveals High Genetic and Antigen-Driven Predetermination of Antibody Repertoires throughout B Cell Development.

作者信息

Greiff Victor, Menzel Ulrike, Miho Enkelejda, Weber Cédric, Riedel René, Cook Skylar, Valai Atijeh, Lopes Telma, Radbruch Andreas, Winkler Thomas H, Reddy Sai T

机构信息

Department of Biosystems Science and Engineering, ETH Zürich, Basel 4058, Switzerland.

German Rheumatism Research Center, a Leibniz Institute, Berlin 10117, Germany.

出版信息

Cell Rep. 2017 May 16;19(7):1467-1478. doi: 10.1016/j.celrep.2017.04.054.

DOI:10.1016/j.celrep.2017.04.054
PMID:28514665
Abstract

Antibody repertoire diversity and plasticity is crucial for broad protective immunity. Repertoires change in size and diversity across multiple B cell developmental stages and in response to antigen exposure. However, we still lack fundamental quantitative understanding of the extent to which repertoire diversity is predetermined. Therefore, we implemented a systems immunology framework for quantifying repertoire predetermination on three distinct levels: (1) B cell development (pre-B cell, naive B cell, plasma cell), (2) antigen exposure (three structurally different proteins), and (3) four antibody repertoire components (V-gene usage, clonal expansion, clonal diversity, repertoire size) extracted from antibody repertoire sequencing data (400 million reads). Across all three levels, we detected a dynamic balance of high genetic (e.g., >90% for V-gene usage and clonal expansion in naive B cells) and antigen-driven (e.g., 40% for clonal diversity in plasma cells) predetermination and stochastic variation. Our study has implications for the prediction and manipulation of humoral immunity.

摘要

抗体库的多样性和可塑性对于广泛的保护性免疫至关重要。在多个B细胞发育阶段以及对抗原暴露的反应中,抗体库在大小和多样性方面都会发生变化。然而,我们仍然缺乏对抗体库多样性预先确定程度的基本定量理解。因此,我们实施了一个系统免疫学框架,在三个不同层面上量化抗体库的预先确定:(1)B细胞发育(前B细胞、初始B细胞、浆细胞),(2)抗原暴露(三种结构不同的蛋白质),以及(3)从抗体库测序数据(4亿条读数)中提取的四种抗体库成分(V基因使用、克隆扩增、克隆多样性、抗体库大小)。在所有三个层面上,我们都检测到了高度遗传因素(例如,初始B细胞中V基因使用和克隆扩增的比例>90%)和抗原驱动因素(例如,浆细胞中克隆多样性的比例为40%)预先确定与随机变化之间的动态平衡。我们的研究对体液免疫的预测和调控具有启示意义。

相似文献

1
Systems Analysis Reveals High Genetic and Antigen-Driven Predetermination of Antibody Repertoires throughout B Cell Development.系统分析揭示了在整个B细胞发育过程中抗体库的高度遗传和抗原驱动的预先决定。
Cell Rep. 2017 May 16;19(7):1467-1478. doi: 10.1016/j.celrep.2017.04.054.
2
Phenotypic determinism and stochasticity in antibody repertoires of clonally expanded plasma cells.克隆性扩增的浆细胞抗体库中的表型决定论和随机性。
Proc Natl Acad Sci U S A. 2022 May 3;119(18):e2113766119. doi: 10.1073/pnas.2113766119. Epub 2022 Apr 29.
3
On being the right size: antibody repertoire formation in the mouse and human.大小正好:鼠类和人类抗体库的形成。
Immunogenetics. 2018 Mar;70(3):143-158. doi: 10.1007/s00251-017-1049-8. Epub 2017 Dec 19.
4
Commonality despite exceptional diversity in the baseline human antibody repertoire.在基础人类抗体库中存在着共同性,尽管存在着异常的多样性。
Nature. 2019 Feb;566(7744):393-397. doi: 10.1038/s41586-019-0879-y. Epub 2019 Jan 21.
5
The peritoneal Ly-1 (CD5) B cell repertoire is unique among murine B cell repertoires.腹膜Ly-1(CD5)B细胞库在小鼠B细胞库中是独特的。
Eur J Immunol. 1990 Mar;20(3):485-92. doi: 10.1002/eji.1830200305.
6
Exploring the impact of clonal definition on B-cell diversity: implications for the analysis of immune repertoires.探讨克隆定义对 B 细胞多样性的影响:对免疫受体库分析的启示。
Front Immunol. 2023 Apr 17;14:1123968. doi: 10.3389/fimmu.2023.1123968. eCollection 2023.
7
Functional diversity and clonal frequencies of reactivity in the available antibody repertoire.现有抗体库中反应性的功能多样性和克隆频率。
Eur J Immunol. 1998 Apr;28(4):1204-15. doi: 10.1002/(SICI)1521-4141(199804)28:04<1204::AID-IMMU1204>3.0.CO;2-G.
8
Structural diversity of B-cell receptor repertoires along the B-cell differentiation axis in humans and mice.人类和小鼠 B 细胞分化轴上 B 细胞受体库的结构多样性。
PLoS Comput Biol. 2020 Feb 18;16(2):e1007636. doi: 10.1371/journal.pcbi.1007636. eCollection 2020 Feb.
9
Evidence for preferential Ig gene usage and differential TdT and exonuclease activities in human naïve and memory B cells.人类初始B细胞和记忆B细胞中Ig基因优先使用以及末端脱氧核苷酸转移酶和核酸外切酶活性差异的证据。
Mol Immunol. 2007 Mar;44(9):2173-83. doi: 10.1016/j.molimm.2006.11.020. Epub 2006 Dec 29.
10
Complex Antigens Drive Permissive Clonal Selection in Germinal Centers.复杂抗原驱动生发中心的许可性克隆选择。
Immunity. 2016 Mar 15;44(3):542-552. doi: 10.1016/j.immuni.2016.02.010. Epub 2016 Mar 3.

引用本文的文献

1
Nucleotide context models outperform protein language models for predicting antibody affinity maturation.在预测抗体亲和力成熟方面,核苷酸上下文模型优于蛋白质语言模型。
bioRxiv. 2025 Jun 18:2025.06.16.659977. doi: 10.1101/2025.06.16.659977.
2
Simulation of adaptive immune receptors and repertoires with complex immune information to guide the development and benchmarking of AIRR machine learning.利用复杂免疫信息模拟适应性免疫受体和库,以指导适应性免疫受体库(AIRR)机器学习的开发和基准测试。
Nucleic Acids Res. 2025 Jan 24;53(3). doi: 10.1093/nar/gkaf025.
3
The physiological landscape and specificity of antibody repertoires are consolidated by multiple immunizations.
抗体库的生理格局和特异性通过多次免疫得以巩固。
Elife. 2024 Dec 18;13:e92718. doi: 10.7554/eLife.92718.
4
Learning antibody sequence constraints from allelic inclusion.从等位基因包含中学习抗体序列约束条件。
bioRxiv. 2024 Oct 25:2024.10.22.619760. doi: 10.1101/2024.10.22.619760.
5
Computational Analysis of T-Cell Receptor Repertoire Workflow: From T-Cell Isolation to Bioinformatics Analysis.T 细胞受体库工作流程的计算分析:从 T 细胞分离到生物信息学分析。
Methods Mol Biol. 2025;2857:127-135. doi: 10.1007/978-1-0716-4128-6_12.
6
Benchmarking and integrating human B-cell receptor genomic and antibody proteomic profiling.对人类 B 细胞受体基因组和抗体蛋白质组进行基准测试和整合。
NPJ Syst Biol Appl. 2024 Jul 12;10(1):73. doi: 10.1038/s41540-024-00402-z.
7
Leveraging Artificial Intelligence to Expedite Antibody Design and Enhance Antibody-Antigen Interactions.利用人工智能加速抗体设计并增强抗体-抗原相互作用。
Bioengineering (Basel). 2024 Feb 15;11(2):185. doi: 10.3390/bioengineering11020185.
8
Systematic evaluation of B-cell clonal family inference approaches.B 细胞克隆家族推断方法的系统评估。
BMC Immunol. 2024 Feb 8;25(1):13. doi: 10.1186/s12865-024-00600-8.
9
Revolutionizing Synthetic Antibody Design: Harnessing Artificial Intelligence and Deep Sequencing Big Data for Unprecedented Advances.变革合成抗体设计:利用人工智能和深度测序大数据实现前所未有的进展。
Mol Biotechnol. 2025 Feb;67(2):410-424. doi: 10.1007/s12033-024-01064-2. Epub 2024 Feb 3.
10
Characterizing adjuvants' effects at murine immunoglobulin repertoire level.在小鼠免疫球蛋白库水平上表征佐剂的作用。
iScience. 2023 Dec 14;27(1):108749. doi: 10.1016/j.isci.2023.108749. eCollection 2024 Jan 19.