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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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Related Experiment Video

Updated: Dec 10, 2025

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

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

Published on: January 12, 2021

VisTCR: An Interactive Software for T Cell Repertoire Sequencing Data Analysis.

Qingshan Ni^1,2, Jianyang Zhang^1,2, Zihan Zheng³

¹Biomedical Analysis Center, Army Medical University, Chongqing, China.

Frontiers in Genetics

|August 28, 2020

Summary

High throughput sequencing enables T cell receptor (TCR) repertoire analysis. VisTCR is a new client-based HTML program simplifying TCR sequencing data analysis with integrated algorithms and a user-friendly interface.

Keywords:

Graphic user interface T cell repertoire T cell sequencing analysis tool data analysis

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ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data

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Last Updated: Dec 10, 2025

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

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Published on: January 12, 2021

VDJ-Seq: Deep Sequencing Analysis of Rearranged Immunoglobulin Heavy Chain Gene to Reveal Clonal Evolution Patterns of B Cell Lymphoma

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Published on: December 28, 2015

ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data

ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data

Published on: January 16, 2019

Area of Science:

Immunology
Bioinformatics
Computational Biology

Background:

High-throughput sequencing technologies have advanced T cell receptor (TCR) repertoire analysis.
This has led to a significant increase in TCR sequencing data and associated analysis tools.
Existing tools may lack user-friendliness or comprehensive integration for heuristic analysis.

Purpose of the Study:

To develop an accessible and intuitive client-based HTML program for T cell receptor (TCR) repertoire sequencing data analysis.
To integrate multiple advanced analysis algorithms into a cohesive and hierarchical framework.
To provide researchers with a flexible tool for customized sample grouping and analysis.

Main Methods:

Development of a client-based HTML program named VisTCR.
Integration of a data storage module and a data analysis module.
Implementation of hierarchical organization for multiple cutting-edge analysis algorithms.
Inclusion of a customized 'Experiment Design File' for flexible sample grouping.
Creation of a user-friendly interactive interface for accessing and saving analysis results.

Main Results:

VisTCR offers a centralized platform for T cell receptor (TCR) repertoire data analysis.
The program integrates diverse analytical algorithms within a hierarchical structure.
Users can dynamically group and re-group samples using the 'Experiment Design File'.
Interactive visualization of analysis methods and results is provided, with options to save outputs as tables or graphs.

Conclusions:

VisTCR provides a user-friendly and heuristic approach to analyzing complex T cell receptor (TCR) sequencing data.
The program enhances research efficiency by integrating data management, analysis, and visualization.
Freely available source code promotes accessibility and further development within the research community.