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Related Concept Videos

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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Related Experiment Video

Updated: Sep 18, 2025

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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Characterization of human CMV-specific CD8+ T cells using multi-layer single-cell omics.

Ioanna Gemünd1, Lorenzo Bonaguro2, Matthias Becker3

  • 1Systems Medicine, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany; Genomics and Immunoregulation, Life and Medical Sciences (LIMES) Institute, University of Bonn, Bonn, Germany; Department of Microbiology and Immunology, Peter Doherty Institute for Infection and Immunity, The University of Melbourne, Parkville, VIC, Australia; Institute of Virology, Technical University of Munich School of Medicine/Helmholtz Munich, Munich, Germany.

Cell Reports Methods
|June 24, 2025
PubMed
Summary

This study presents a new multi-omics single-cell workflow for analyzing immune cells. The method successfully identified T cell receptor sequences and evaluated reagents for detecting antigen-specific T cells.

Keywords:
BD RhapsodyCD8(+) T cellsCMVCP: immunologyTCR sequencingantigen-specific T cellsdCODE dextramerssingle-cell multi-omicssystems immunology

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Whole-animal Imaging and Flow Cytometric Techniques for Analysis of Antigen-specific CD8+ T Cell Responses after Nanoparticle Vaccination
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Discrimination of Seven Immune Cell Subsets by Two-fluorochrome Flow Cytometry
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Discrimination of Seven Immune Cell Subsets by Two-fluorochrome Flow Cytometry

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Related Experiment Videos

Last Updated: Sep 18, 2025

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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Whole-animal Imaging and Flow Cytometric Techniques for Analysis of Antigen-specific CD8+ T Cell Responses after Nanoparticle Vaccination
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Discrimination of Seven Immune Cell Subsets by Two-fluorochrome Flow Cytometry
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Discrimination of Seven Immune Cell Subsets by Two-fluorochrome Flow Cytometry

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Area of Science:

  • Immunology and Genomics
  • Single-cell multi-omics analysis

Background:

  • Understanding adaptive immunity requires detailed analysis of individual immune cells.
  • Current methods for multi-omics single-cell data collection can be complex and limited.

Purpose of the Study:

  • To establish a comprehensive workflow for multi-omics single-cell data acquisition.
  • To validate the workflow's capability in identifying T cell specificities and receptor repertoires.
  • To assess the sensitivity and specificity of dCODE dextramers for detecting low-frequency antigen-specific T cells.

Main Methods:

  • Utilized a micro-well-based platform for simultaneous collection of whole transcriptome, cell surface markers, and adaptive immune receptor repertoire (AIRR) profiles.
  • Employed targeted sequencing for cell surface proteomics and identified paired T cell receptor sequences.
  • Assessed dCODE dextramers for their performance in single-cell multi-omics assays.

Main Results:

  • Successfully generated multi-omics single-cell data, including paired T cell receptor sequences for three human CMV epitopes.
  • Demonstrated the workflow's ability to profile T cell specificities and AIRR.
  • Quantified the sensitivity and specificity of dCODE dextramers in detecting antigen-specific T cells at low frequencies.

Conclusions:

  • The developed workflow provides a robust method for comprehensive single-cell multi-omics analysis.
  • This approach enables deep characterization of immune cell populations and their antigen specificities.
  • The findings support the utility of dCODE dextramers in identifying rare antigen-specific T cells within complex samples.