私人和公共免疫受体序列的数学表征
Lucas Böttcher1,2,3, Sascha Wald4, Tom Chou5,6
1Department of Computational Science and Philosophy, Frankfurt School of Finance and Management, 60322, Frankfurt am Main, Germany. l.boettcher@fs.de.
本研究引入了一个概率模型来量化T细胞受体 (TCR) 和B细胞受体 (BCR) 的公开性和私密性. 这些发现有助于评估采样方法如何影响个体间的克隆丰富性和共同性.
科学领域:
- 免疫学 免疫学 免疫学
- 计算生物学 计算生物学
- 生物信息学是一种生物信息学.
背景情况:
- 多样化的T和B细胞库对于有效的免疫反应至关重要.
- T细胞受体 (TCR) 和B细胞受体 (BCR) 定义了这些谱内的独特克隆.
- 尽管有概率生成,但在个人中观察到显著的TCR和BCR共享.
研究的目的:
- 开发T/B细胞受体克隆丰度的一般概率模型.
- 定义和量化受体克隆的"公共性"和"私密性".
- 评估采样协议对克隆丰富性和跨个体共同性的影响.
主要方法:
- 利用T/B细胞受体克隆丰度的一般概率模型.
- 应用信息理论措施来比较个体间的序列频率.
- 获得了克隆丰度和重叠的平均值和方差的数学公式.
- 使用合成和实证TCR氨基酸序列数据进行模拟.
主要成果:
- 衍生式来量化克隆丰富度和重叠,包括它们的差异.
- 模拟证实了对跨个体的克隆共同点的分析预测.
- 在截断的权力法分布下,为财富和不确定性衍生了明确的表达式.
- 与受体序列的谱型分组相关的评估信息损失.
结论:
- 开发的概率框架允许定量评估T/B细胞受体谱的公开性和私人性.
- 衍生式为分析克隆丰富性和重叠提供了可靠的方法.
- 该方法可以适应更复杂和机械上更现实的克隆生成模型.
更多相关视频
08:59T and B Cell Receptor Immune Repertoire Analysis using Next-generation Sequencing
Published on: January 12, 2021
09:53Using X-ray Crystallography, Biophysics, and Functional Assays to Determine the Mechanisms Governing T-cell Receptor Recognition of Cancer Antigens
Published on: February 6, 2017
相关概念视频
Diversity of Antigen Receptors
Before encountering any antigen, lymphocytes express these receptors. On B cells, the antigen receptor is a membrane-bound antibody molecule called BCR; on T cells, it is a T cell receptor or TCR. B and T cell receptors are composed of two...
Antigens Involved in Adaptive Immunity
Complete Antigens
Complete antigens possess both immunogenicity and...
Cross-reactivity
Special Features of Adaptive Immunity
The primary cell types involved in adaptive immunity are T cells and B cells. Each type has a unique role in defending the body against pathogens. T cells are responsible for cell-mediated immunity. They identify and eliminate infected cells directly,...
Affinity and Avidity
What is the Immune System?
