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T Cell Activation and Clonal Selection

T Cell Activation and Clonal Selection

T cells are integral to our adaptive immune system, recognizing and effectively responding to foreign antigens. T cell activation and clonal selection are pivotal in orchestrating this immune response. This article elucidates these mechanisms, detailing the roles of cluster of differentiation (CD) markers, major histocompatibility complex (MHC) molecules, costimulatory signals, and the process of clonal selection.
Naive T cells that have not yet encountered an antigen express two primary CD...

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Updated: Jun 14, 2025

Using X-ray Crystallography, Biophysics, and Functional Assays to Determine the Mechanisms Governing T-cell Receptor Recognition of Cancer Antigens

Using X-ray Crystallography, Biophysics, and Functional Assays to Determine the Mechanisms Governing T-cell Receptor Recognition of Cancer Antigens

Published on: February 6, 2017

一个功能验证的TCR-pMHC数据库用于TCR特异性模型开发.

Marius Messemaker^1,2, Bjørn P Y Kwee^1,2, Živa Moravec¹

¹Division of Molecular Oncology & Immunology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.

bioRxiv : the preprint server for biology

|June 4, 2025

概括

此摘要是机器生成的。

高通量验证显示,现有数据库中只有50%的T细胞受体 (TCR) 和-MHC (pMHC) 相互作用是功能性的. 本研究引入了一个验证的TCR数据库 (TCRvdb),以改进TCR特异性预测模型.

关键词:

T细胞受体受体的 T 细胞受体.功能性遗传查功能性遗传查主要的组织相容性抗原.这是一种类.预测模型的预测模型.

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Streamlined Single Cell TCR Isolation and Generation of Retroviral Vectors for In Vitro and In Vivo Expression of Human TCRs

Streamlined Single Cell TCR Isolation and Generation of Retroviral Vectors for In Vitro and In Vivo Expression of Human TCRs

Published on: September 10, 2017

High-Efficiency Generation of Antigen-Specific Primary Mouse Cytotoxic T Cells for Functional Testing in an Autoimmune Diabetes Model

High-Efficiency Generation of Antigen-Specific Primary Mouse Cytotoxic T Cells for Functional Testing in an Autoimmune Diabetes Model

Published on: August 16, 2019

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Last Updated: Jun 14, 2025

Using X-ray Crystallography, Biophysics, and Functional Assays to Determine the Mechanisms Governing T-cell Receptor Recognition of Cancer Antigens

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Published on: February 6, 2017

Streamlined Single Cell TCR Isolation and Generation of Retroviral Vectors for In Vitro and In Vivo Expression of Human TCRs

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High-Efficiency Generation of Antigen-Specific Primary Mouse Cytotoxic T Cells for Functional Testing in an Autoimmune Diabetes Model

Published on: August 16, 2019

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:

预测T细胞受体 (TCR) 特异性在免疫学中至关重要.
目前的TCR-pMHC预测模型依赖于具有可变质量的历史数据.
大型语言模型和计算结构预测提供了潜在的解决方案.

研究的目的:

开发和使用一个高通量合成平台来验证TCR-pMHC相互作用.
评估VDJdb数据库中条目的功能准确性.
为社区使用生成高质量,验证的TCR数据库 (TCRvdb).

主要方法:

建立了一个高通量合成平台,用于TCR组装和功能评估.
通过使用标准化功能读数评估了VDJdb存储的TCR-pMHC条目的大小子集.
利用TCR桥来分析AlphaFold3对TCR-pMHC预测的信心指标.

主要成果:

在评估的VDJdb条目中,只有50%的功能TCR反应性得到证实.
经过证明的AlphaFold3信心指标可以区分功能验证和非验证的TCR,尽管他们没有接受过这项任务的培训.
生成了验证的TCRvdb数据库.

结论:

很大一部分现有的TCR-pMHC数据缺乏功能验证.
经过验证的TCRvdb数据库和AlphaFold3信心指标显示了改善TCR特异性预测的前景.
该资源将有助于培训和评估更准确的预测TCR特异性模型.