CapTCR-seq: hybrid capture for T-cell receptor repertoire profiling

Author:

Mulder David T.1,Mahé Etienne R.2ORCID,Dowar Mark1,Hanna Youstina1,Li Tiantian1,Nguyen Linh T.1,Butler Marcus O.1,Hirano Naoto134,Delabie Jan5,Ohashi Pamela S.136,Pugh Trevor J.146ORCID

Affiliation:

1. Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada;

2. Division of Hematology, Calgary Laboratory Services and Department of Pathology and Laboratory Medicine, University of Calgary, Calgary, AB, Canada;

3. Department of Immunology, Faculty of Medicine, University of Toronto, Toronto, ON, Canada;

4. Ontario Institute for Cancer Research, Toronto, ON, Canada;

5. Laboratory Medicine Program, University Health Network, Toronto, ON, Canada; and

6. Department of Medical Biophysics, Faculty of Medicine, University of Toronto, Toronto, ON, Canada

Abstract

Abstract Mature T-cell lymphomas consisting of an expanded clonal population of T cells that possess common rearrangements of the T-cell receptor (TCR) encoding genes can be identified and monitored using molecular methods of T-cell repertoire analysis. We have developed a hybrid-capture method that enriches DNA sequencing libraries for fragments encoding rearranged TCR genes from all 4 loci in a single reaction. We use this method to describe the TCR repertoires of 63 putative lymphoma clinical isolates, 7 peripheral blood mononuclear cell (PBMC) populations, and a collection of tumor infiltrating lymphocytes. Dominant Variable (V) and Joining (J) gene pair rearrangements in cancer cells were confirmed by polymerase chain reaction (PCR) amplification and Sanger sequencing; clonality assessment of clinical isolates using BIOMED-2 methods showed agreement for 73% and 77% of samples at the β and γ loci, respectively, whereas β locus V and J allele prevalence in PBMCs were well correlated with results from commercial PCR-based DNA sequencing assays (r2 = 0.94 with Adaptive ImmunoSEQ, 0.77-0.83 with Invivoscribe LymphoTrack TRB Assay). CapTCR-seq allows for rapid, high-throughput and flexible characterization of dominant clones within TCR repertoire that will facilitate quantitative analysis of patient samples and enhance sensitivity of tumor surveillance over time.

Publisher

American Society of Hematology

Subject

Hematology

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