Literature DB >> 23162126

A converse 4-1BB and CD40 ligand expression pattern delineates activated regulatory T cells (Treg) and conventional T cells enabling direct isolation of alloantigen-reactive natural Foxp3+ Treg.

Anne Schoenbrunn1, Marco Frentsch, Siegfried Kohler, Jacqueline Keye, Hans Dooms, Beate Moewes, Jun Dong, Christoph Loddenkemper, Joachim Sieper, Peihua Wu, Chiara Romagnani, Nadine Matzmohr, Andreas Thiel.   

Abstract

Natural regulatory T cells (nTreg) play a central role in the induction and maintenance of immunological tolerance. Experimental transplant models and recent clinical trials demonstrate that nTreg can control alloreactivity. To upgrade Treg-based cell therapies to a selective suppression of undesired immune reactions, only the transfer of Ag-specific nTreg represents the appropriate therapeutic option. However, Ag-specific nTreg are present at extremely low frequencies in the periphery, and so far appropriate surface markers for their precise identification are missing. In this study, we demonstrate that activated nTreg and activated conventional T cells differ in their 4-1BB and CD40 ligand (CD40L) expression signatures, allowing a clear dissection from each other. Based on the expression of 4-1BB and absence of CD40L expression, human alloantigen-reactive Foxp3(+) nTreg can be directly isolated from MLR cultures with high purity. Alloantigen-reactive 4-1BB(+)CD40L(-) nTreg were characterized by a completely demethylated Treg-specific demethylated region and showed alloantigen-specific suppressive properties superior to polyclonal Treg. Importantly, isolated 4-1BB(+)CD40L(-) nTreg maintain the nTreg phenotype and alloantigen-reactivity after in vitro expansion. Our results offer the possibility to simultaneously analyze Ag-specific nTreg and conventional T cells, and to establish cellular therapies with Ag-specific nTreg aiming at a specific inhibition of unwanted immunity.

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Year:  2012        PMID: 23162126     DOI: 10.4049/jimmunol.1201090

Source DB:  PubMed          Journal:  J Immunol        ISSN: 0022-1767            Impact factor:   5.422


  45 in total

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2.  [Gaps in the regulatory T cell shield generate immunopathologies].

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Review 3.  Mechanisms of Mixed Chimerism-Based Transplant Tolerance.

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4.  Early expansion of donor-specific Tregs in tolerant kidney transplant recipients.

Authors:  Thomas M Savage; Brittany A Shonts; Aleksandar Obradovic; Susan Dewolf; Saiping Lau; Julien Zuber; Michael T Simpson; Erik Berglund; Jianing Fu; Suxiao Yang; Siu-Hong Ho; Qizhi Tang; Laurence A Turka; Yufeng Shen; Megan Sykes
Journal:  JCI Insight       Date:  2018-11-15

5.  Flow Cytometric Characterization of Human Antigen-Reactive T-Helper Cells.

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Journal:  Methods Mol Biol       Date:  2021

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Authors:  Veronika Bachanova; Sarah Cooley; Todd E Defor; Michael R Verneris; Bin Zhang; David H McKenna; Julie Curtsinger; Angela Panoskaltsis-Mortari; Dixie Lewis; Keli Hippen; Philip McGlave; Daniel J Weisdorf; Bruce R Blazar; Jeffrey S Miller
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Review 7.  Immune monitoring as prerequisite for transplantation tolerance trials.

Authors:  K Behnam Sani; B Sawitzki
Journal:  Clin Exp Immunol       Date:  2017-06-23       Impact factor: 4.330

8.  Single-Cell RNA Sequencing Reveals Expanded Clones of Islet Antigen-Reactive CD4+ T Cells in Peripheral Blood of Subjects with Type 1 Diabetes.

Authors:  Karen Cerosaletti; Fariba Barahmand-Pour-Whitman; Junbao Yang; Hannah A DeBerg; Matthew J Dufort; Sara A Murray; Elisabeth Israelsson; Cate Speake; Vivian H Gersuk; James A Eddy; Helena Reijonen; Carla J Greenbaum; William W Kwok; Erik Wambre; Martin Prlic; Raphael Gottardo; Gerald T Nepom; Peter S Linsley
Journal:  J Immunol       Date:  2017-05-31       Impact factor: 5.422

9.  Notch signalling suppresses regulatory T-cell function in murine experimental autoimmune uveitis.

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Journal:  Immunology       Date:  2016-09-23       Impact factor: 7.397

Review 10.  Fungus-Specific CD4 T Cells as Specific Sensors for Identification of Pulmonary Fungal Infections.

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Journal:  Mycopathologia       Date:  2017-11-22       Impact factor: 2.574

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