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T Cell Activation and Clonal Selection01:22

T Cell Activation and Clonal Selection

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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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Special Features of Adaptive Immunity01:20

Special Features of Adaptive Immunity

766
The adaptive immune system, a crucial component of the overall immune response, offers a highly specialized defense against pathogens. It involves specific cell types and features, enabling it to combat infections effectively and efficiently.
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,...
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Cell-mediated Immune Responses01:40

Cell-mediated Immune Responses

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Overview
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相关实验视频

Updated: Jun 11, 2025

Author Spotlight: Optimized Protocol for Detecting Antigen-Specific T Cells in Mouse Lungs Using Tetramers
09:15

Author Spotlight: Optimized Protocol for Detecting Antigen-Specific T Cells in Mouse Lungs Using Tetramers

Published on: July 19, 2024

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从部分信息中推断T细胞特异性的限制.

James Henderson1,2, Yuta Nagano1,3, Martina Milighetti1,4

  • 1Division of Infection and Immunity, University College London, London WC1E 6BT, United Kingdom.

Proceedings of the National Academy of Sciences of the United States of America
|October 7, 2024
PubMed
概括
此摘要是机器生成的。

了解T细胞受体 (TCR) 序列特征对于预测抗原特异性至关重要. 这项研究量化了TCR序列中的信息,揭示了超变区的协同作用,以改善预测和细胞治疗优化.

关键词:
雷尼的信息是Renyi信息.在TCR中,可以使用TCR.免疫系统的曲目.信息理论信息理论受体-连接体相互作用.

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Generation of Human Alloantigen-specific T Cells from Peripheral Blood
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Generation of Human Alloantigen-specific T Cells from Peripheral Blood

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Simultaneous Quantification of Anti-vector and Anti-transgene-Specific CD8+ T Cells Via MHC I Tetramer Staining After Vaccination with a Viral Vector
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Simultaneous Quantification of Anti-vector and Anti-transgene-Specific CD8+ T Cells Via MHC I Tetramer Staining After Vaccination with a Viral Vector

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相关实验视频

Last Updated: Jun 11, 2025

Author Spotlight: Optimized Protocol for Detecting Antigen-Specific T Cells in Mouse Lungs Using Tetramers
09:15

Author Spotlight: Optimized Protocol for Detecting Antigen-Specific T Cells in Mouse Lungs Using Tetramers

Published on: July 19, 2024

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Generation of Human Alloantigen-specific T Cells from Peripheral Blood
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Generation of Human Alloantigen-specific T Cells from Peripheral Blood

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Simultaneous Quantification of Anti-vector and Anti-transgene-Specific CD8+ T Cells Via MHC I Tetramer Staining After Vaccination with a Viral Vector
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Simultaneous Quantification of Anti-vector and Anti-transgene-Specific CD8+ T Cells Via MHC I Tetramer Staining After Vaccination with a Viral Vector

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科学领域:

  • 分子生物学分子生物学
  • 免疫学 免疫学 免疫学
  • 生物信息学是一种生物信息学.

背景情况:

  • 将蛋白质序列映射到功能是分子生物学中的一个核心挑战.
  • 确定确定蛋白质功能的序列特征,例如T细胞受体 (TCR) 抗原特异性,至关重要.

研究的目的:

  • 量化TCR序列特征所提供的关于抗原特异性的信息.
  • 通过评估它们在抗原特异性受体中的保存来识别信息序列特征.

主要方法:

  • 关于抗原特异性的TCR序列特征提供的比特量的量化信息.
  • 基于对零预期相对的保证性来确定信息特征.
  • 采用基于巧合的方法来测量信息和预测准确度.

主要成果:

  • TCR特异性是协同依赖于两个受体链的超变区域.
  • 协同作用的程度受到特定联结体的强烈影响.
  • 基于巧合的方法为从部分序列匹配中预测TCR特异性提供了直接的边界.

结论:

  • 统计框架可以帮助开发用于TCR特异性预测的机器学习模型.
  • 这些发现支持优化TCRs用于细胞疗法.
  • 基于巧合的信息措施可能在对对分类器性能界限中具有更广泛的应用.