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相关概念视频

T Cell Activation and Clonal Selection01:22

T Cell Activation and Clonal Selection

693
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...
693
Diversity of Antigen Receptors01:28

Diversity of Antigen Receptors

554
Antigen receptors are essential components of the immune system crucial in defending the body against foreign invaders. These receptors are present on the surface of B and T cells, enabling them to recognize antigens and mount an appropriate immune response.
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...
554
B Cell Activation and Differentiation01:24

B Cell Activation and Differentiation

1.7K
The adaptive immune response, a sophisticated defense mechanism, relies on the activation and differentiation of B lymphocytes, or B cells. These processes enable our bodies to mount a tailored response against specific pathogens such as bacteria, free virus particles, toxins, and parasites.
When naive B cells encounter a specific antigen that can bind to the B cell receptor (BCR) on their surface, they undergo sensitization to respond to the antigen's presence. Sensitization begins with...
1.7K
Cytotoxic T Cells-mediated Immune Response01:27

Cytotoxic T Cells-mediated Immune Response

865
Cytotoxic T cells are a vital component of the immune system. They have the remarkable ability to identify and target antigens on infected or abnormal cells. These antigens often originate from intracellular pathogens such as viruses or abnormal proteins cancer cells produce.
Immunological surveillance is the ability of immune cells to monitor and eliminate infected cells with intracellular pathogens, neoplastically transformed cells, and cells with non-self antigens. Cytotoxic T cells and NK...
865

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相关实验视频

Updated: Jun 18, 2025

A TIRF Microscopy Technique for Real-time, Simultaneous Imaging of the TCR and its Associated Signaling Proteins
16:10

A TIRF Microscopy Technique for Real-time, Simultaneous Imaging of the TCR and its Associated Signaling Proteins

Published on: March 22, 2012

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对于TCR初始触发的数学模型

Jiawei Shi1,2, Weiwei Yin1,3, Wei Chen1,2,4,5

  • 1Department of Cardiology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.

Frontiers in immunology
|August 2, 2024
PubMed
概括
此摘要是机器生成的。

数学模型有助于理解T细胞受体 (TCR) 信号网络. 本综述将动力校对 (KPR) 模型进行比较,以确定改善T细胞反应和治疗的关键调节者.

关键词:
T细胞受体 (TCR) 是一种T细胞受体.对于TCR模型来说,在 TCR 触发时触发 TCR.动态校对模型模型数学模型是一个数学模型.

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Spatial and Temporal Control of T Cell Activation Using a Photoactivatable Agonist
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Spatial and Temporal Control of T Cell Activation Using a Photoactivatable Agonist

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Measuring TCR-pMHC Binding In Situ using a FRET-based Microscopy Assay
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Measuring TCR-pMHC Binding In Situ using a FRET-based Microscopy Assay

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相关实验视频

Last Updated: Jun 18, 2025

A TIRF Microscopy Technique for Real-time, Simultaneous Imaging of the TCR and its Associated Signaling Proteins
16:10

A TIRF Microscopy Technique for Real-time, Simultaneous Imaging of the TCR and its Associated Signaling Proteins

Published on: March 22, 2012

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Spatial and Temporal Control of T Cell Activation Using a Photoactivatable Agonist
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Spatial and Temporal Control of T Cell Activation Using a Photoactivatable Agonist

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Measuring TCR-pMHC Binding In Situ using a FRET-based Microscopy Assay
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Measuring TCR-pMHC Binding In Situ using a FRET-based Microscopy Assay

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科学领域:

  • 免疫学 免疫学 免疫学
  • 计算生物学 计算生物学
  • 系统生物学 系统生物学

背景情况:

  • T细胞受体 (TCRs) 对于适应性免疫至关重要,调解抗原识别.
  • TCR信号传递涉及复杂的分子相互作用和调节网络.
  • 了解这些网络对于免疫反应调节至关重要.

研究的目的:

  • 审查和比较初始T细胞受体 (TCR) 触发的数学模型.
  • 专注于带有各种结构修改的动力校对 (KPR) 模型.
  • 确定TCR信号网络中的关键监管机构.

主要方法:

  • 介绍和讨论有关TCR触发的数学模型.
  • 不同修改动力校对 (KPR) 模型结构的比较分析.
  • 评估模型拓,生物假设,参数化和模拟性能.

主要成果:

  • 各种TCR动力校对 (KPR) 模型的优点和局限性的比较.
  • 审查模型之间的结构和功能差异的总结.
  • 确定影响TCR信号的关键参数和网络组件.

结论:

  • 数学建模为复杂的TCR信号通路提供了洞察力.
  • 优化TCR模型设计对于平衡特异性和灵敏性至关重要.
  • 在TCR建模方面的进步可以为开发新型治疗策略提供信息.