Defining the role of T cell help in germinal centers by intercellular enzymatic labeling

通过细胞间酶标记定义 T 细胞在生发中心的作用

基本信息

  • 批准号:
    10566601
  • 负责人:
  • 金额:
    $ 78.5万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2022
  • 资助国家:
    美国
  • 起止时间:
    2022-09-21 至 2027-07-31
  • 项目状态:
    未结题

项目摘要

PROJECT SUMMARY Generation of high affinity antibodies in germinal centers (GCs) is a critical step in a wide variety of clinically relevant processes, from protection against pathogens by prior infection or vaccination to the development of allergies and autoimmune diseases. Antibody affinity maturation follows a prototypical Darwinian framework, in which GC B cells introduce random mutations into the antigen-binding portions of their immunoglobulin (Ig) genes, generating variations in affinity within their progeny. Rare B cells that acquire affinity-increasing mutation are then selectively expanded within the GC population, thus increasing the average affinity of GC B cells as a whole, in a process we refer to as positive selection. Despite decades of work, the precise cellular mechanisms of positive selection—in other words, how GCs “pick out” B cells with the highest affinity—remains a topic of debate. More than 10 years ago, we provided the first in vivo evidence in mice for a role for T follicular helper (Tfh) cells as arbiters of this selective process. In our model, Tfh cells would sense how much peptide a B cell could present on its surface (which in turn depended on the B cell’s affinity), providing help selectively to the highest-affinity B cells. However, despite accumulating functional evidence for this model, selective delivery of T cell help to B cells based on their affinity has never been directly demonstrated in physiological settings. To achieve this, we developed LIPSTIC, a method that allows us to directly record T cell help to B cells with great precision in vivo. In Aim 1 of this project, we propose to use LIPSTIC as a means to directly test the T cell help model in classic hapten-carrier induced GC selection models. In Aim 2, we will follow up on this by testing our findings from mouse LIPSTIC in human vaccine-induced GCs. In Aim 3, we use the original LIPSTIC in conjunction with two novel versions on this strategy to investigate the dynamics of multi-antigen driven selection in influenza-induced GCs.
项目总结

项目成果

期刊论文数量(0)
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Gabriel D Victora其他文献

Gabriel D Victora的其他文献

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{{ truncateString('Gabriel D Victora', 18)}}的其他基金

Defining the role of T cell help in germinal centers by intercellular enzymatic labeling
通过细胞间酶标记定义 T 细胞在生发中心的作用
  • 批准号:
    10708968
  • 财政年份:
    2022
  • 资助金额:
    $ 78.5万
  • 项目类别:
Quantifying Cell-Cell Interactions in the Immune System by Trans-Synaptic Labeling
通过跨突触标记量化免疫系统中的细胞间相互作用
  • 批准号:
    10461008
  • 财政年份:
    2018
  • 资助金额:
    $ 78.5万
  • 项目类别:
Molecular control of germinal center selection and affinity maturation
生发中心选择和亲和力成熟的分子控制
  • 批准号:
    10212931
  • 财政年份:
    2018
  • 资助金额:
    $ 78.5万
  • 项目类别:
Quantifying Cell-Cell Interactions in the Immune System by Trans-Synaptic Labeling
通过跨突触标记量化免疫系统中的细胞间相互作用
  • 批准号:
    10213593
  • 财政年份:
    2018
  • 资助金额:
    $ 78.5万
  • 项目类别:
Quantifying Cell-Cell Interactions in the Immune System by Trans-Synaptic Labeling
通过跨突触标记量化免疫系统中的细胞间相互作用
  • 批准号:
    9980289
  • 财政年份:
    2018
  • 资助金额:
    $ 78.5万
  • 项目类别:
Molecular control of germinal center selection and affinity maturation
生发中心选择和亲和力成熟的分子控制
  • 批准号:
    9764262
  • 财政年份:
    2018
  • 资助金额:
    $ 78.5万
  • 项目类别:
Quantifying Cell-Cell Interactions in the Immune System by Trans-Synaptic Labeling
通过跨突触标记量化免疫系统中的细胞间相互作用
  • 批准号:
    9768320
  • 财政年份:
    2018
  • 资助金额:
    $ 78.5万
  • 项目类别:
Molecular control of germinal center selection and affinity maturation
生发中心选择和亲和力成熟的分子控制
  • 批准号:
    9977119
  • 财政年份:
    2018
  • 资助金额:
    $ 78.5万
  • 项目类别:
Molecular control of germinal center selection and affinity maturation
生发中心选择和亲和力成熟的分子控制
  • 批准号:
    10463638
  • 财政年份:
    2018
  • 资助金额:
    $ 78.5万
  • 项目类别:
Clonal Dynamics of the antibody response
抗体反应的克隆动力学
  • 批准号:
    10521309
  • 财政年份:
    2017
  • 资助金额:
    $ 78.5万
  • 项目类别:

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