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Related Concept Videos

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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.
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When T cells with CD4 markers are activated, they give rise to two types of effector cells: helper T cells and regulatory T cells. Meanwhile, T cells with CD8 markers differentiate into effector cytotoxic T cells. The differentiation of CD4 T cells into helper T cell subsets, such as Th1, Th2, and Th17 cells, is dependent on the antigen type, antigen-presenting cell, and regulatory cytokines.
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Generating De Novo Antigen-specific Human T Cell Receptors by Retroviral Transduction of Centric Hemichain
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CD161 expression defines new human γδ T cell subsets.

Amali Karunathilaka1, Samuel Halstrom2, Patricia Price2

  • 1Department of Microbiology, Faculty of Medicine, University of Peradeniya, Peradeniya, Sri Lanka.

Immunity & Ageing : I & A
|February 23, 2022
PubMed
Summary
This summary is machine-generated.

New research identifies novel gamma delta (γδ) T cell subsets based on CD161 expression. These subsets may play a role in chronic inflammatory diseases like bronchiectasis.

Keywords:
BronchiectasisCD161Cellular immunityFlowSOMHigh dimensional flow cytometryImmune checkpointUnsupervised clusteringγδ T cellγδ T cell multifunctionalityγδ T cell subsets

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Area of Science:

  • Immunology
  • Cell Biology

Background:

  • Gamma delta (γδ) T cells are crucial for immune defense and maintaining homeostasis.
  • Their heterogeneity, precise functions, and roles in health and disease require further elucidation.

Purpose of the Study:

  • To identify novel γδ T cell subsets, particularly in middle-to-old age individuals.
  • To investigate the role of CD161 expression in defining γδ T cell phenotypes and their potential link to disease.

Main Methods:

  • Multi-parametric flow cytometry was employed to analyze γδ T cell populations.
  • Dimensionality reduction, unsupervised clustering, and self-organizing maps (SOM) were utilized for subset identification.
  • Analysis included comparison between healthy elderly individuals and patients with bronchiectasis.

Main Results:

  • Novel γδ T cell subsets were identified, primarily distinguished by CD161 expression levels.
  • Vδ1+ γδ T cells predominantly showed a terminally differentiated phenotype, while Vδ1- cells displayed an early memory phenotype.
  • Elevated Vδ1+ terminally differentiated effector memory cells were observed in bronchiectasis patients compared to healthy controls.

Conclusions:

  • CD161 expression is a key marker for defining γδ T cell heterogeneity and their differentiation states.
  • The Vδ1+ terminally differentiated effector memory γδ T cell subset may be implicated in chronic inflammatory conditions such as bronchiectasis.