Combined megaplex TCR isolation and SMART-based real-time quantitation methods for quantitating antigen-specific T

George Du1, Liyou Qiu, Ling Shen

  • 1Department of Microbiology and Immunology, Center for Primate Biomedical Research, University of Illinois College of Medicine, 835 S. Wocoltt, MC790, Chicago, IL 60612, USA.

Insights

Quantifying antigen-specific T cell clones is challenging. This study introduces a novel method combining megaplex TCR isolation and SMART amplification for accurate T cell clone quantitation from limited samples.

Area of Science:

  • Immunology
  • Molecular Biology
  • Genetics

Background:

  • Quantifying antigen-specific T cell clones is crucial for understanding immune responses in disease.
  • Current methods face challenges in sensitivity and scalability, especially with limited specimen amounts.

Purpose of the Study:

  • To develop and validate a novel assay for accurate quantitation of numerous antigen-specific T cell clones.
  • To enable T cell clone analysis using limited biological specimens.

Main Methods:

  • Combined megaplex T cell receptor (TCR) isolation to cover a broad TCR repertoire (24 Vbeta, 13 Jbeta segments).
  • Purification of antigen-specific T cells (e.g., PPD-specific IFNgamma-producing T cells) via flow cytometry sorting.
  • SMART (Signal Amplification Reaction) based real-time quantitative PCR for proportional enrichment and sensitive detection of TCR VDJ clonotypic sequences.

Main Results:

  • The combined method accurately quantitates numerous antigen-specific T cell clones from limited samples (e.g., 2x10^6 PBMCs).
  • SMART amplification maintained relative TCR gene expression levels compared to unamplified cDNA.
  • The assay achieved a detection limit of 10^-5 to 10^-6 antigen-specific T cells, with specific primers discriminating clones differing by >=2 bases in DJ regions.

Conclusions:

  • This novel assay system effectively quantitates large numbers of antigen-specific T cell clones.
  • The method is valuable for studying T cell responses in infectious diseases, autoimmune conditions, and cancer.
  • It offers a sensitive and scalable approach for T cell repertoire analysis.

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