A Robust Quantitative Multiplex PCR for T-cell Receptor Repertoire Sequencing from Formalin-Fixed Paraffin-Embedded
Gayathri Nageswaran1, Suzanne Byrne1, Pablo Nenclares2
1Division of Infection and Immunity, UCL, London, UK.
Methods in Molecular Biology (Clifton, N.J.)
|May 22, 2025
Summary
Analyzing T-cell receptor (TCR) repertoires from challenging tumor samples is now feasible. Our new FUME-TCRseq method enables robust TCR sequencing from poor-quality RNA, aiding cancer immunology research.
Area of Science:
- Immunology
- Genomics
- Bioinformatics
Background:
- T-cell receptor (TCR) analysis is crucial for understanding the tumor microenvironment and immune responses to cancer therapies.
- Challenges exist in amplifying TCR libraries from degraded nucleic acids found in clinical tumor samples, particularly formalin-fixed paraffin-embedded (FFPE) tissues.
- Accurate TCR repertoire profiling is essential for insights into cancer progression, regression, and the efficacy of immune checkpoint inhibitors.
Purpose of the Study:
- To develop a robust, cost-effective protocol for generating high-quality TCR repertoire data from diverse and low-quality RNA sources.
- To enable TCR repertoire analysis from archived FFPE tumor samples, expanding the scope of cancer immunology research.
- To integrate this method with the Decombinator computational pipeline for accurate TCR annotation.
Main Methods:
- Developed FFPE-suitable Unique Molecular idEntifier-based TCRseq (FUME-TCRseq) protocol.
- Utilized multiplex PCR to amplify the TCRbeta CDR3 region with V and J gene sequences.
- Incorporated a 12-base pair unique molecular identifier (UMI) for error and bias correction during sequencing.
Main Results:
- The FUME-TCRseq method successfully generates TCR repertoires from various RNA sources, including low-concentration, poor-quality RNA from FFPE tissues.
- The protocol is robust, inexpensive, and suitable for integration with computational TCR annotation pipelines like Decombinator.
- The use of UMIs effectively corrects for PCR bias and sequencing errors, improving data accuracy.
Conclusions:
- FUME-TCRseq overcomes limitations of analyzing TCR repertoires from challenging clinical samples.
- This method unlocks the potential of archived tumor samples for detailed immunological studies.
- Enhanced TCR repertoire analysis can lead to a deeper understanding of tumor immunology and immunotherapeutic interventions.
Keywords:
Adaptive repertoireCancer immunityCancer immunotherapyFormalin-fixed paraffin-embedded (FFPE)Multiplex PCRT-cell receptorMore Related Videos
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