OpenLink Software

About: Foxp3(+) CD4 regulatory T cells (T reg cells) are important in limiting immunopathology in infections. However, identifying pathogen-specific epitopes targeted by these cells has been elusive. Using MHC class II/peptide tetramers and intracellular cytokine staining, we identify T reg cells recognizing two virus-specific CD4 T cell epitopes in the coronavirus-infected central nervous system as well as naive T cell precursor pools. These T reg cells are detected at the same time as effector T cells (T eff cells) exhibiting the same specificity and can suppress T eff cell proliferation after stimulation with cognate peptide. These virus-specific T reg cells may be especially effective in inhibiting the immune response during the peak of infection, when virus antigen is maximal. Furthermore, these T reg cells express both IL-10 and IFN-γ after peptide stimulation. IFN-γ expression is maintained during both acute and chronic phases of infection. Identification of T reg cell target epitopes by cytokine production is also applicable in autoimmune disease because myelin oligodendrocyte glycoprotein–specific Foxp3(+) T reg cells express IL-10 and IL-17 at the peak of disease in mice with experimental autoimmune encephalomyelitis. These results show that pathogen epitope-specific Foxp3(+) T reg cells can be identified on the basis of cytokine production.

 Permalink

an Entity references as follows:

Faceted Search & Find service v1.13.91

Alternative Linked Data Documents: Sponger | ODE     Raw Data in: CXML | CSV | RDF ( N-Triples N3/Turtle JSON XML ) | OData ( Atom JSON ) | Microdata ( JSON HTML) | JSON-LD    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] This material is Open Knowledge Creative Commons License Valid XHTML + RDFa
This work is licensed under a Creative Commons Attribution-Share Alike 3.0 Unported License.
OpenLink Virtuoso version 07.20.3229 as of Jul 10 2020, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (94 GB total memory)
Copyright © 2009-2024 OpenLink Software