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      T cell receptor repertoires of mice and humans are clustered in similarity networks around conserved public CDR3 sequences

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          Abstract

          Diversity of T cell receptor (TCR) repertoires, generated by somatic DNA rearrangements, is central to immune system function. However, the level of sequence similarity of TCR repertoires within and between species has not been characterized. Using network analysis of high-throughput TCR sequencing data, we found that abundant CDR3-TCRβ sequences were clustered within networks generated by sequence similarity. We discovered a substantial number of public CDR3-TCRβ segments that were identical in mice and humans. These conserved public sequences were central within TCR sequence-similarity networks. Annotated TCR sequences, previously associated with self-specificities such as autoimmunity and cancer, were linked to network clusters. Mechanistically, CDR3 networks were promoted by MHC-mediated selection, and were reduced following immunization, immune checkpoint blockade or aging. Our findings provide a new view of T cell repertoire organization and physiology, and suggest that the immune system distributes its TCR sequences unevenly, attending to specific foci of reactivity.

          DOI: http://dx.doi.org/10.7554/eLife.22057.001

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          R: A language and environment for statistical computing

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            Integration of biological networks and gene expression data using Cytoscape.

            Cytoscape is a free software package for visualizing, modeling and analyzing molecular and genetic interaction networks. This protocol explains how to use Cytoscape to analyze the results of mRNA expression profiling, and other functional genomics and proteomics experiments, in the context of an interaction network obtained for genes of interest. Five major steps are described: (i) obtaining a gene or protein network, (ii) displaying the network using layout algorithms, (iii) integrating with gene expression and other functional attributes, (iv) identifying putative complexes and functional modules and (v) identifying enriched Gene Ontology annotations in the network. These steps provide a broad sample of the types of analyses performed by Cytoscape.
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              ShortRead: a bioconductor package for input, quality assessment and exploration of high-throughput sequence data

              Summary: ShortRead is a package for input, quality assessment, manipulation and output of high-throughput sequencing data. ShortRead is provided in the R and Bioconductor environments, allowing ready access to additional facilities for advanced statistical analysis, data transformation, visualization and integration with diverse genomic resources. Availability and Implementation: This package is implemented in R and available at the Bioconductor web site; the package contains a ‘vignette’ outlining typical work flows. Contact: mtmorgan@fhcrc.org
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                Author and article information

                Contributors
                Role: Reviewing editor
                Journal
                eLife
                Elife
                eLife
                eLife
                eLife
                eLife Sciences Publications, Ltd
                2050-084X
                21 July 2017
                2017
                : 6
                : e22057
                Affiliations
                [1 ]deptDepartment of Immunology , Weizmann Institute of Science , Rehovot, Israel
                [2 ]deptDepartment of Physics and Astronomy , Alfred University , Alfred, United States
                [3 ]deptExperimental Immunology Branch , National Cancer Institute , Bethesda, United States
                [4 ]deptStructural Immunology Section , Laboratory of Immunogenetics, National Institute of Allergy and Infectious Diseases , Rockville, United States
                Ragon Institute of MGH, MIT and Harvard , United States
                Ragon Institute of MGH, MIT and Harvard , United States
                Author notes
                [†]

                These authors contributed equally to this work.

                Author information
                http://orcid.org/0000-0003-3441-3228
                http://orcid.org/0000-0001-9118-1051
                http://orcid.org/0000-0003-4161-4677
                http://orcid.org/0000-0002-1078-3921
                Article
                22057
                10.7554/eLife.22057
                5553937
                28731407
                eb23a1ad-e702-4556-ad3c-cfe8700b7562
                © 2017, Madi et al

                This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.

                History
                : 10 October 2016
                : 14 July 2017
                Funding
                Funded by: M.D. Moross Institute for Cancer Reseach;
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100001658, Minerva Foundation;
                Award ID: Funding from the Federal German Ministry for Education and Research
                Award Recipient :
                Funded by: I-CORE;
                Award ID: Program of the Planning and Budgeting Committee and the Israel Science Foundation
                Award Recipient :
                The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
                Categories
                Research Article
                Computational and Systems Biology
                Immunology
                Custom metadata
                2.5
                A new perception of the organization of T-cell receptor repertoires in mice and humans, based on high-throughput sequencing and CDR3 sequence similarity, indicates hubs of cross-species public sequences forming evolutionary conserved 'foci of attention' of T cell immunity.
                2.5

                Life sciences
                lymphocyte subsets,t cell receptor,cdr3,human,mouse
                Life sciences
                lymphocyte subsets, t cell receptor, cdr3, human, mouse

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