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      CD4 + T Cells Recognize Conserved Influenza A Epitopes through Shared Patterns of V-Gene Usage and Complementary Biochemical Features

      research-article
      1 , 5 , 1 , 5 , 1 , 4 , 1 , 1 , 1 , 1 , 1 , 1 , 6 , 7 , 1 , 1 , 1 , 1 , 1 , 1 , 1 , 4 , 4 , 2 , 1 , 1 , 1 , 1 , 1 , 1 , 3 , 5 , , 1 , 5 , 8 , 9 , ∗∗
      Cell Reports
      Cell Press
      influenza, CD4 T cells, HLA class II, peptide epitopes, pHLA mutlimer, T cell receptor, clonotyping, X-ray crystallography, biochemistry, immunology

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          Summary

          T cell recognition of peptides presented by human leukocyte antigens (HLAs) is mediated by the highly variable T cell receptor (TCR). Despite this built-in TCR variability, individuals can mount immune responses against viral epitopes by using identical or highly related TCRs expressed on CD8 + T cells. Characterization of these TCRs has extended our understanding of the molecular mechanisms that govern the recognition of peptide-HLA. However, few examples exist for CD4 + T cells. Here, we investigate CD4 + T cell responses to the internal proteins of the influenza A virus that correlate with protective immunity. We identify five internal epitopes that are commonly recognized by CD4 + T cells in five HLA-DR1 + subjects and show conservation across viral strains and zoonotic reservoirs. TCR repertoire analysis demonstrates several shared gene usage biases underpinned by complementary biochemical features evident in a structural comparison. These epitopes are attractive targets for vaccination and other T cell therapies.

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          Highlights

          • Conserved influenza epitopes are recognized in multiple HLA-DR1 + donors

          • Shared TRAV-gene usage underpins epitope-specific responses in vitro

          • Structural analysis identifies biochemical features associated with V-gene selection

          • CDR3 motifs and enrichments are evident in several shared “public” CDR3 sequences

          Abstract

          CD4 + T cells orchestrate protection from severe influenza. However, knowledge of epitopes and the molecular patterns associated with recognition across the population is lacking. Greenshields-Watson et al. identify several influenza epitopes from internal proteins and use them to explore the biochemical features that underpin CD4 + T cell responses to influenza.

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          Most cited references44

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          Identifying specificity groups in the T cell receptor repertoire

          T cell receptor (TCR) sequences are very diverse, with many more possible sequence combinations than T cells in any one individual. Here we define the minimal requirements for TCR antigen specificity, through an analysis of TCR sequences using a panel of peptide and major histocompatibility complex (pMHC)-tetramer-sorted cells and structural data. From this analysis we developed an algorithm that we term GLIPH (grouping of lymphocyte interactions by paratope hotspots) to cluster TCRs with a high probability of sharing specificity owing to both conserved motifs and global similarity of complementarity-determining region 3 (CDR3) sequences. We show that GLIPH can reliably group TCRs of common specificity from different donors, and that conserved CDR3 motifs help to define the TCR clusters that are often contact points with the antigenic peptides. As an independent validation, we analysed 5,711 TCRβ chain sequences from reactive CD4 T cells from 22 individuals with latent Mycobacterium tuberculosis infection. We found 141 TCR specificity groups, including 16 distinct groups containing TCRs from multiple individuals. These TCR groups typically shared HLA alleles, allowing prediction of the likely HLA restriction, and a large number of M. tuberculosis T cell epitopes enabled us to identify pMHC ligands for all five of the groups tested. Mutagenesis and de novo TCR design confirmed that the GLIPH-identified motifs were critical and sufficient for shared-antigen recognition. Thus the GLIPH algorithm can analyse large numbers of TCR sequences and define TCR specificity groups shared by TCRs and individuals, which should greatly accelerate the analysis of T cell responses and expedite the identification of specific ligands.
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            Quantifiable predictive features define epitope-specific T cell receptor repertoires

            T cells are defined by a heterodimeric surface receptor, the T cell receptor (TCR), that mediates recognition of pathogen-associated epitopes through interactions with peptide and major histocompatibility complexes (pMHCs). TCRs are generated by genomic rearrangement of the germline TCR locus, a process termed V(D)J recombination, that has the potential to generate marked diversity of TCRs (estimated to range from 1015 (ref. 1) to as high as 1061 (ref. 2) possible receptors). Despite this potential diversity, TCRs from T cells that recognize the same pMHC epitope often share conserved sequence features, suggesting that it may be possible to predictively model epitope specificity. Here we report the in-depth characterization of ten epitope-specific TCR repertoires of CD8+ T cells from mice and humans, representing over 4,600 in-frame single-cell-derived TCRαβ sequence pairs from 110 subjects. We developed analytical tools to characterize these epitope-specific repertoires: a distance measure on the space of TCRs that permits clustering and visualization, a robust repertoire diversity metric that accommodates the low number of paired public receptors observed when compared to single-chain analyses, and a distance-based classifier that can assign previously unobserved TCRs to characterized repertoires with robust sensitivity and specificity. Our analyses demonstrate that each epitope-specific repertoire contains a clustered group of receptors that share core sequence similarities, together with a dispersed set of diverse ‘outlier’ sequences. By identifying shared motifs in core sequences, we were able to highlight key conserved residues driving essential elements of TCR recognition. These analyses provide insights into the generalizable, underlying features of epitope-specific repertoires and adaptive immune recognition.
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              A direct estimate of the human alphabeta T cell receptor diversity.

              Generation and maintenance of an effective repertoire of T cell antigen receptors are essential to the immune system, yet the number of distinct T cell receptors (TCRs) expressed by the estimated 10(12) T cells in the human body is not known. In this study, TCR gene amplification and sequencing showed that there are about 10(6) different beta chains in the blood, each pairing, on the average, with at least 25 different alpha chains. In the memory subset, the diversity decreased to 1 x 10(5) to 2 x 10(5) different beta chains, each pairing with only a single alpha chain. Thus, the naïve repertoire is highly diverse, whereas the memory compartment, here one-third of the T cell population, contributes less than 1 percent of the total diversity.
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                Author and article information

                Contributors
                Journal
                Cell Rep
                Cell Rep
                Cell Reports
                Cell Press
                2211-1247
                14 July 2020
                14 July 2020
                14 July 2020
                : 32
                : 2
                : 107885
                Affiliations
                [1 ]Cardiff University, School of Medicine, Heath Park, Cardiff, UK
                [2 ]Center of Life Sciences, Skolkovo Institute of Science and Technology, Moscow, Russia
                [3 ]Department of Gastroenterology, Hepatology and Endoscopy, University Hospital of Wales, Cardiff, UK
                [4 ]Monash Biomedicine Discovery Institute, 19 Innovation Walk, Clayton, Victoria 3800, Australia
                Author notes
                []Corresponding author godkinaj@ 123456cardiff.ac.uk
                [∗∗ ]Corresponding author coledk@ 123456cardiff.ac.uk
                [5]

                These authors contributed equally

                [6]

                Present address: Anthony Nolan Research Institute, Royal Free Hospital, London, UK

                [7]

                Present address: UCL Cancer Institute, Royal Free Campus, London, UK

                [8]

                Present address: Immunocore, Milton Park, Abingdon, UK

                [9]

                Lead Contact

                Article
                S2211-1247(20)30866-4 107885
                10.1016/j.celrep.2020.107885
                7370177
                32668259
                d33091fe-d0b2-4ae7-a4c4-88620ef6931a
                © 2020 The Author(s)

                This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

                History
                : 17 March 2019
                : 20 January 2020
                : 17 June 2020
                Categories
                Article

                Cell biology
                influenza,cd4 t cells,hla class ii,peptide epitopes,phla mutlimer,t cell receptor,clonotyping,x-ray crystallography,biochemistry,immunology

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