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      The Wiskott–Aldrich syndrome protein is required for positive selection during T-cell lineage differentiation

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          Abstract

          The Wiskott–Aldrich syndrome (WAS) is an X-linked primary immune deficiency caused by a mutation in the WAS gene. This leads to altered or absent WAS protein (WASp) expression and function resulting in thrombocytopenia, eczema, recurrent infections, and autoimmunity. In T cells, WASp is required for immune synapse formation. Patients with WAS show reduced numbers of peripheral blood T lymphocytes and an altered T-cell receptor repertoire. In vitro, their peripheral T cells show decreased proliferation and cytokine production upon aCD3/aCD28 stimulation. It is unclear whether these T-cell defects are acquired during peripheral activation or are, in part, generated during thymic development. Here, we assessed the role of WASp during T-cell differentiation using artificial thymic organoid cultures and in the thymus of humanized mice. Although CRISPR/Cas9 WAS knockout hematopoietic stem and progenitor cells (HSPCs) rearranged the T-cell receptor and differentiated to T-cell receptor (TCR) + CD4 + CD8 + double-positive (DP) cells similar to wild-type HSPCs, a partial defect in the generation of CD8 single-positive (SP) cells was observed, suggesting that WASp is involved in their positive selection. TCR repertoire analysis of the DP and CD8 + SP population, however, showed a polyclonal repertoire with no bias toward autoreactivity. To our knowledge, this is the first study of the role of WASp in human T-cell differentiation and on TCR repertoire generation.

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          MiXCR: software for comprehensive adaptive immunity profiling.

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            VDJtools: Unifying Post-analysis of T Cell Receptor Repertoires

            Despite the growing number of immune repertoire sequencing studies, the field still lacks software for analysis and comprehension of this high-dimensional data. Here we report VDJtools, a complementary software suite that solves a wide range of T cell receptor (TCR) repertoires post-analysis tasks, provides a detailed tabular output and publication-ready graphics, and is built on top of a flexible API. Using TCR datasets for a large cohort of unrelated healthy donors, twins, and multiple sclerosis patients we demonstrate that VDJtools greatly facilitates the analysis and leads to sound biological conclusions. VDJtools software and documentation are available at https://github.com/mikessh/vdjtools.
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              Current Challenges of iPSC-Based Disease Modeling and Therapeutic Implications

              Induced pluripotent stem cell (iPSC)-based disease modelling and the cell replacement therapy approach have proven to be very powerful and instrumental in biomedical research and personalized regenerative medicine as evidenced in the past decade by unraveling novel pathological mechanisms of a multitude of monogenic diseases at the cellular level and the ongoing and emerging clinical trials with iPSC-derived cell products. iPSC-based disease modelling has sparked widespread enthusiasm and has presented an unprecedented opportunity in high throughput drug discovery platforms and safety pharmacology in association with three-dimensional multicellular organoids such as personalized organs-on-chips, gene/base editing, artificial intelligence and high throughput “omics” methodologies. This critical review summarizes the progress made in the past decade with the advent of iPSC discovery in biomedical applications and regenerative medicine with case examples and the current major challenges that need to be addressed to unleash the full potential of iPSCs in clinical settings and pharmacology for more effective and safer regenerative therapy.
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                Author and article information

                Contributors
                Journal
                Front Immunol
                Front Immunol
                Front. Immunol.
                Frontiers in Immunology
                Frontiers Media S.A.
                1664-3224
                07 June 2023
                2023
                : 14
                : 1188099
                Affiliations
                [1] 1 Laboratory of Experimental Immunology, Department of Diagnostic Sciences, Ghent University , Ghent, Belgium
                [2] 2 Brown Foundation Institute of Molecular Medicine, Mc Govern Medical School, University of Texas Health Science Center at Houston , Houston, TX, United States
                [3] 3 Department of Pharmacotherapy and Pharmaceutics, Université Libre de Bruxelles (ULB) , Brussels, Belgium
                [4] 4 Institute for Medical Immunology, Université Libre de Bruxelles (ULB) , Brussels, Belgium
                [5] 5 ULB Center for Research in Immunology (U-CRI), Université Libre de Bruxelles (ULB) , Brussels, Belgium
                [6] 6 WELBIO Department, WEL Research Institute , Wavre, Belgium
                [7] 7 Cancer Research Institute Ghent (CRIG) , Ghent, Belgium
                [8] 8 Department of Applied Mathematics, Computer Science and Statistics, Ghent University , Ghent, Belgium
                [9] 9 Department of Internal Medicine and Pediatrics, Ghent University Hospital , Ghent, Belgium
                [10] 10 Department of Hematology, Ghent University Hospital , Ghent, Belgium
                Author notes

                Edited by: Anna Villa, National Research Council (CNR), Italy

                Reviewed by: Maria Pia Cicalese, San Raffaele Scientific Institute (IRCCS), Italy; Valérie S. Zimmermann, UMR5535 Institut de Génétique Moléculaire de Montpellier (IGMM), France

                *Correspondence: Bart Vandekerckhove, Bart.Vandekerckhove@ 123456ugent.be
                Article
                10.3389/fimmu.2023.1188099
                10282776
                806e2363-5b78-4367-b22d-cf0617860480
                Copyright © 2023 Pille, Avila, Sanchez, Goetgeluk, De Munter, Jansen, Billiet, Weening, Xue, Bonte, Ingels, De Cock, Pascal, Deseins, Kerre, Taghon, Leclercq, Vermijlen, Davis and Vandekerckhove

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 16 March 2023
                : 15 May 2023
                Page count
                Figures: 5, Tables: 0, Equations: 0, References: 47, Pages: 13, Words: 7917
                Funding
                Funded by: Fonds Wetenschappelijk Onderzoek , doi 10.13039/501100003130;
                Award ID: G036717N
                Funded by: Fonds De La Recherche Scientifique - FNRS , doi 10.13039/501100002661;
                Award ID: 7.4586.19
                Funded by: Walloon excellence in life sciences and biotechnology , doi 10.13039/501100022434;
                This research was supported by grants from the Research Foundation – Flanders (FWO), including G036717N (BV) and 1S14318N (MP) and by a WELBIO grant (WELBIO-CR-2022 A – 15, DV). GSS is supported by Télévie-FNRS (grant 7.4586.19 and 922 7.6529.21).
                Categories
                Immunology
                Original Research
                Custom metadata
                Primary Immunodeficiencies

                Immunology
                t-cell development,wiskott aldrich syndrome,t-cell repertoire,ato,crispr/cas9,indel,primary immunodeficiencies

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