IMGT/HighV QUEST paradigm for T cell receptor IMGT clonotype diversity and next generation repertoire immunoprofiling

Shuo Li(University of Melbourne), Marie‐Paule Lefranc(Centre National de la Recherche Scientifique), John J. Miles(Cardiff University), Eltaf Alamyar(Université de Montpellier), Véronique Giudicelli(Institut de Génétique Humaine), Patrice Duroux(Institut de Génétique Humaine), Jamie Freeman(Canada's Michael Smith Genome Sciences Centre), Vincent Corbin(Walter and Eliza Hall Institute of Medical Research), Jean‐Pierre Y. Scheerlinck(University of Melbourne), Michael A. Frohman(Stony Brook University), Paul Cameron(Burnet Institute), Magdalena Plebanski(Monash University), Bruce E. Loveland(Monash University), Scott R. Burrows(QIMR Berghofer Medical Research Institute), Anthony T. Papenfuss(University of Melbourne), Eric J. Gowans(Burnet Institute)
Nature Communications
September 2, 2013
Cited by 231Open Access
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Abstract

T cell repertoire diversity and clonotype follow-up in vaccination, cancer, infectious and immune diseases represent a major challenge owing to the enormous complexity of the data generated. Here we describe a next generation methodology, which combines 5′RACE PCR, 454 sequencing and, for analysis, IMGT, the international ImMunoGeneTics information system (IMGT), IMGT/HighV-QUEST web portal and IMGT-ONTOLOGY concepts. The approach is validated in a human case study of T cell receptor beta (TRB) repertoire, by chronologically tracking the effects of influenza vaccination on conventional and regulatory T cell subpopulations. The IMGT/HighV-QUEST paradigm defines standards for genotype/haplotype analysis and characterization of IMGT clonotypes for clonal diversity and expression and achieves a degree of resolution for next generation sequencing verifiable by the user at the sequence level, while providing a normalized reference immunoprofile for human TRB. Dynamic changes in T cell repertoire underlie immune responses during infection, allergy, autoimmunity and cancer. Here, Li et al. present a workflow for high throughput sequencing and analysis of T cell receptor sequences, and use it to monitor the T cell response to influenza vaccination in a human patient.


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