Quantitative analysis of the T cell receptor repertoire

Imran Uddin1, Annemarie Woolston2, Thomas Peacock3

  • 1Division of Infection and Immunity, UCL, London, United Kingdom; Cancer Research UK Lung Cancer Centre of Excellence, UCL Cancer Institute, UCL, London, United Kingdom.

Methods in Enzymology
|November 16, 2019
PubMed

Insights

This study presents a cost-effective method for analyzing T cell receptor repertoires. The protocol enhances accuracy in tracking immune responses to cancer and immunotherapy by correcting sequencing errors.

Area of Science:

  • Immunology
  • Genomics
  • Bioinformatics

Background:

  • The T cell receptor (TCR) repertoire reflects the adaptive immune response.
  • Analyzing TCRs in tumors offers insights into anti-cancer immunity and personalized biomarkers for cancer therapy.
  • Accurate TCR repertoire analysis is crucial for understanding immune responses.

Purpose of the Study:

  • To develop an economical, robust, sensitive, and versatile protocol for TCR repertoire amplification, sequencing, and analysis.
  • To enable accurate quantification of TCR sequences for cancer research and therapeutic monitoring.

Main Methods:

  • A novel protocol involving single-stranded oligonucleotide ligation to TCR cDNA.
  • Introduction of unique molecular identifiers (UMIs) to label individual cDNA molecules.
  • A computational pipeline for sample multiplexing, TCR annotation, and error correction.

Main Results:

  • The method allows amplification of all TCR rearrangements with a single primer set per locus.
  • UMIs correct for sequence errors and PCR amplification biases, yielding accurate TCR frequencies.
  • The integrated experimental and computational pipeline provides precise TCR sequence counts.

Conclusions:

  • This protocol offers a valuable tool for researchers studying T cell immunity in cancer.
  • The method facilitates understanding T cell responses and developing immunotherapies.
  • Accurate TCR repertoire analysis supports personalized medicine approaches in oncology.