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相关概念视频

T Cell Activation and Clonal Selection01:22

T Cell Activation and Clonal Selection

14.8K
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...
14.8K

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相关实验视频

Updated: Jan 16, 2026

Examination of Thymic Positive and Negative Selection by Flow Cytometry
14:29

Examination of Thymic Positive and Negative Selection by Flow Cytometry

Published on: October 8, 2012

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替代品选择总样 扩大T细胞克隆型

Peng Yu1, Yumin Lian2, Elliot Xie3

  • 1Department of Statistics, University of Wisconsin, Madison.

The annals of applied statistics
|October 2, 2025
PubMed
概括
此摘要是机器生成的。

代孕选择丰富了细胞样本的特定基因组突变没有DNA测序. 这种统计框架分析克隆型大小,以了解免疫学研究中的细胞增殖和体质突变.

关键词:
贝叶斯规则就是贝叶斯规则.克隆扩张的扩张.多样性统计数据 多样性统计数据通过缩进行缩.可交换的出生-死亡过程.实验设计 实验设计一个单细胞测序.尺寸偏差是指大小偏差.身体突变是一种体质突变.

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Single-cell Screening Method for the Selection and Recovery of Antibodies with Desired Specificities from Enriched Human Memory B Cell Populations
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Single-cell Screening Method for the Selection and Recovery of Antibodies with Desired Specificities from Enriched Human Memory B Cell Populations

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T and B Cell Receptor Immune Repertoire Analysis using Next-generation Sequencing
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T and B Cell Receptor Immune Repertoire Analysis using Next-generation Sequencing

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相关实验视频

Last Updated: Jan 16, 2026

Examination of Thymic Positive and Negative Selection by Flow Cytometry
14:29

Examination of Thymic Positive and Negative Selection by Flow Cytometry

Published on: October 8, 2012

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Single-cell Screening Method for the Selection and Recovery of Antibodies with Desired Specificities from Enriched Human Memory B Cell Populations
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T and B Cell Receptor Immune Repertoire Analysis using Next-generation Sequencing
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科学领域:

  • 免疫学 免疫学 免疫学
  • 基因组学就是基因组学.
  • 计算生物学 计算生物学

背景情况:

  • 代孕选择是一种基于基因组突变的细胞样本丰富的实验设计.
  • 这种方法可以通过跟踪与克隆扩张相关的中性突变来识别与免疫反应相关的淋巴细胞.

研究的目的:

  • 开发一个统计框架来分析代孕选数据.
  • 量化克隆子群和体内基因组改变的属性.

主要方法:

  • 将克隆型内的出生死亡过程与跨克隆型的可交换模型结合起来.
  • 克隆型大小的统计分析,以建模细胞增殖史.
  • 检查多样性统计的抽样性质,并开发对基因组变化的新措施.

主要成果:

  • 开发的模型提供了对代孕选择的定量视角.
  • 该框架允许研究样本多样性统计和体质突变负担.
  • 进行了黑色素瘤和T细胞谱研究的说明性计算.

结论:

  • 代孕选择提供了一种有效的方法来丰富免疫学研究中的细胞样本.
  • 统计框架提高了对克隆动态和基因组改变的理解.
  • 这种方法在各种单细胞基因组和疾病研究中具有应用.