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Updated: Jan 3, 2026

T and B Cell Receptor Immune Repertoire Analysis using Next-generation Sequencing
Published on: January 12, 2021
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.
Abstract:
The T cell receptor repertoire provides a window into the cellular adaptive immune response. In the context of cancer, determining the repertoire within a tumor can give important insights into the evolution of the T cell anti-cancer response, and has the potential to identify specific personalized biomarkers for tracking host responses during cancer therapy, including immunotherapy. We describe a protocol for amplifying, sequencing and analyzing T cell receptors which is economical, robust, sensitive and versatile. The key experimental step is the ligation of a single stranded oligonucleotide to the 3' end of the T cell receptor cDNA, which allows easy amplification of all possible rearrangements using only a single set of primers per locus, while simultaneously introducing a unique molecular identifier to label each starting cDNA molecule. After sequencing, this molecular identifier can be used to correct both sequence errors and the effects of differential PCR amplification efficiency, thus producing a more accurate measure of the true T cell receptor frequency within the sample. We describe a detailed protocol describing this method to create libraries of T cell receptors from in vitro T cell cultures, blood or tissue samples. We combine this with a computational pipeline, which incorporates sample multiplexing, T cell receptor annotation and error correction to provide accurate counts of individual T cell receptor sequences within samples. The integrated experimental and computational pipeline should be of value to researchers interested in documenting and understanding the T cell immune response to cancer, and in manipulating it for therapeutic purposes.
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.
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