Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Expression data from developing regulatory T cells

ABSTRACT: CD25+ regulatory T cells develop in the thymus (nTregs), but may also be generated in the periphery upon stimulation of naive CD4 T cells under appropriate conditions (iTregs). The mechanisms that regulate the generation of peripheral iTregs are largely unknown. We used microarrays to gain insights into the molecular program of extrathymic Treg development Human iTregs were generated in vitro from CD4CD25- naive T cells in the presence of autologous feeder cells and interleukin (IL)-4. Total RNA was isolated at start and from purified CD25+ and CD25- T cells at days 3, 5, 7, and 10 of culture and used for DNA microarrays. CD25+ T cells generated in the absence of IL-4 constituted activated effector T cells (Teffs) lacking regulatory capacity and were therefore used to control for Treg-specific gene expression.

ORGANISM(S): Homo sapiens

SUBMITTER: Iryna Prots

PROVIDER: E-GEOD-24634 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Publications

Analysis of the transcriptional program of developing induced regulatory T cells.

Prots Iryna I Skapenko Alla A Lipsky Peter E PE Schulze-Koops Hendrik H

PloS one 20110209 2

CD25+ regulatory T cells develop in the thymus (nTregs), but may also be generated in the periphery upon stimulation of naive CD4 T cells under appropriate conditions (iTregs). To gain insight into the mechanisms governing iTreg development, we performed longitudinal transcriptional profiling of CD25+ T cells during their differentiation from uncommitted naive CD4 T cells. Microarray analysis of mRNA from CD25+ iTregs early after stimulation revealed expression of genes involved in cell cycle pr ...[more]

PMID: 21347372

Similar Datasets

Project description:Introduction: Expansion of antigen (Ag)-specific natural occurring regulatory T cells (nTregs) is required to obtain sufficient numbers of cells for cellular immunotherapy. In this study, different allogeneic stimuli were studied for their capacity to generate functional alloAg-specific nTregs. Methods: A highly enriched nTreg-fraction (CD4+CD25brightCD127- T cells) was alloAg-specific expanded using HLA-mismatched immature, mature monocyte-derived dendritic cells (moDC) or peripheral blood mononuclear cells (PBMC). The allogeneic mature moDC-expanded nTregs were fully characterized by analysis of the demethylation status within the TSDR of the FOXP3 gene and the expression of both protein and mRNA of FOXP3, HELIOS, CTLA4 and cytokines. In addition, the antigen-specific suppressive capacity of these expanded nTregs was tested. Results: Allogeneic mature moDC and skin-derived DC were superior in inducing nTreg-expansion compared to immature moDC or PBMC in an HLA-DR and CD80/CD86-dependent way. Remarkably, the presence of exogenous IL-15 without IL-2, could facilitate optimal mature moDC-induced nTreg-expansion. Allogeneic mature moDC-expanded nTregs were at low ratios (<1:320), potent suppressors of alloAg-induced proliferation without significant suppression of completely HLA-mismatched-Ag-induced proliferation. Mature moDC-expanded nTregs were highly demethylated at the TSDR within the FOXP3 gene and highly expressed of FOXP3, HELIOS and CTLA4. A minority of the expanded nTregs produced IL-10, IL-2, IFN-g and TNF-a but very few IL-17 producing nTregs were found. Next generation sequencing of mRNA of moDC-expanded nTregs revealed a strong induction of Treg-associated mRNAs. Conclusions: Human allogeneic mature moDC are highly efficient stimulator cells, in presence of exogenous IL-15, for expansion of stable alloAg-specific nTregs with superior suppressive function. Four different batches of highly pure regulatory T cells (all from the same donor) were expanded in two different ways, and compared to non-expanded samples.

Dataset Information

Expression data from developing regulatory T cells

Publications

Analysis of the transcriptional program of developing induced regulatory T cells.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets