Project description:Comparison of the transcriptional profile of CTLA-4 as well as TGFb treated CD4+ T cells with a Treg cell phenotype and Tconv cells. Since CTLA-4 and TGFb have been described as regulatory T cell inducing factors, CD4+ T cells were activated in the presence of CTLA-4 as well as TGFb. The transcriptional profile of these cells was compared to untreated CD4+CD25- T cells as well as to regulatory T cells in order to determine the relationship of these treated cells to regulatory T cells.
Project description:The CD4+ regulatory T (Treg) cell lineage comprises thymus-derived (t)Treg cells and peripherally induced (p)Treg cells. As a model for Treg cells, studies employ TGF-β-induced (i)Treg cells generated from CD4+ conventional T (Tconv) cells in vitro. Here, we describe the relationship of iTreg cells to tTreg and Tconv cells. Proteomic analysis revealed that iTreg, tTreg and Tconv cell populations each have a unique protein expression pattern. iTreg cells had very limited overlap in protein expression with tTreg cells, regardless of cell activation status and instead shared signaling and metabolic proteins with Tconv cells. tTreg cells had a uniquely modest response to CD3/CD28-mediated stimulation. As a benchmark, we used a previously defined proteomic signature that sets ex vivo naïve and effector phenotype Treg cells apart from Tconv cells and includes unique Treg cell properties (Cuadrado et al., Immunity, 2018). This Treg cell core signature was largely absent in iTreg cells. We also used a proteomic signature that distinguishes ex vivo effector Treg cells from Tconv cells and naïve Treg cells. This effector Treg cell signature was partially present in iTreg cells. In conclusion, iTreg cells are distinct from tTreg cells and share limited features with ex vivo Treg cells at the proteomic level.
Project description:miRNA expression profiling in highly purified murine CD4+ Tconv and Treg cells. FoxP3-GFP-hCre1a(high) reporter mice were used to separate both populations based on surface markers and presence or absence of GFP. Two-condition experiment, Tconv vs. Treg. Biological replicates: 1 Tconv, 1 Treg, purified from the same pooled mice. One replicate on 1 array.
Project description:Gene expression signature of Treg cells in B16 melanoma was measured and compared to B16-infiltrating CD4+ Tconv cells and CD8+ T cells as well as splenic Treg cells, CD4+ Tconv cells and CD8+ T cells.
Project description:Immune responses depend on a dynamic balance between the opposing activities of conventional (Tconv) and regulatory (Treg) CD4+ T cells. While receptor-targeted approaches have been developed based on their modulation of Tconv cells, Tconv and Treg cells share many costimulatory receptors. We aim to determine key differential signaling events downstream of costimulation to find opportunities for selective manipulation of Tconv or Treg cells. This data set includes the transcriptomes of expanded human Tconv and Treg cells that were treated with anti-CD3, anti-CD3/CD28 or anti-CD3/TNFR2 agonistic mAbs for 24 hours.
Project description:Immune responses depend on a dynamic balance between the opposing activities of conventional (Tconv) and regulatory (Treg) CD4+ T cells. While receptor-targeted approaches have been developed based on their modulation of Tconv cells, Tconv and Treg cells share many costimulatory receptors. We aim to determine key differential signaling events downstream of costimulation to find opportunities for selective manipulation of Tconv or Treg cells. This data set includes the transcriptomes of expanded human Tconv and Treg cells that were either unstimulated or treated with anti-CD3/CD28 agonistic mAbs for 24 hours.
Project description:Regulatory T cells (Treg) are potent inhibitors of the activation of the immune system. TGFb and PGE2 have been shown to be involved in the induction of regulatory T cells. The transcriptional profile of CD4+ T cells treated with TGFb as well as PGE2 was compared to untreated CD4+CD25- T cells as well as to regulatory T cells in order to determine the relationship of these cells to regulatory T cells.
Project description:Understanding human regulatory T cells (Tregs) heterogeneity may identify markers of disease pathogenesis and facilitate the development of optimized cellular therapeutics. To better elucidate human Treg subsets, we conducted direct transcriptional profiling of CD4+FOXP3+Helios+ thymic-derived Treg (tTreg) and CD4+FOXP3+Helios- peripherally-induced Treg (pTreg), followed by comparison to CD4+FOXP3-Helios- T conventional (Tconv) cells. This analysis revealed that the coinhibitory receptor T-cell immunoglobulin and immunoreceptor tyrosine-based inhibitory motif domain (TIGIT) was highly expressed on tTreg. In this study CD4 T cells were stained for the Treg-associated transcription factors FOXP3 and Helios, and subsequently FACS sorted to yield three populations: tTreg (CD4+FOXP3+Helios+), pTreg (CD4+FOXP3+Helios–) and the reference population Tconv (CD4+FOXP3–Helios–). A direct transcriptional profile was obtained from the recovered RNA from the populations defined as tTreg, pTreg, and Tconv.
Project description:Several clinical trials have shown anti-CD3 treatment to be a promising therapy for autoimmune diabetes, but its mechanism of action remains unclear. Foxp3+ regulatory T (Treg) cells are likely to be involved, and we have shown a strong effect of anti-CD3 on homeostatic control of CD4+ FoxP3+ regulatory T (Treg) cells. To analyze the early consequences of anti-CD3 treatment, we sorted and profiled Treg and conventional CD4+ T (Tconv) cells in the first hours and days after anti-CD3 treatment of NOD mice. In practice, NOD mice carrying the Foxp3-GFP reporter were treated with anti-CD3 mAb KT3 (50 ug iv) and CD4+ T cells were sorted from pooled spleen and lymph nodes after 2, 8, 24 and 72 hrs, separating Treg and Tconv cells on the basis of GFP expression. Anti-CD3 treatment led to a transient transcriptional response, terminating faster than most antigen-induced responses. Most transcripts were similarly induced in Treg and Tconv cells, but several were differential, in particular those encoding the IL7 receptor (IL7R) and transcription factors Id2/3 and Gfi1, upregulated in Treg but repressed in Tconv cells. In parallel experiments, we tested the effect of soluble anti-CD3 added to cultures of fresh splenocytes, sorting Treg and Tconv cells at the same time points. Many of the anti-CD3 elicited changes, and of the differential response observed in vivo, were also observed in vitro. Two independent replicate series; Treg and Tconv samples abbreviated TR and TC, respectively. Keywords: Transcriptional activation, TCR All gene expression profiles were obtained from highly purified T cell populations sorted by flow cytometry. RNA from 5 x 104 cells was amplified, labeled, and hybridized to Affymetrix ST1.0 Gene arrays. Raw data were preprocessed with the RMA algorithm in GenePattern, and averaged expression values were used for analysis.
Project description:The objective of this study is to compare transcriptional features in tumor-infiltrating (TI) regulatory T (Treg) cells with TI CD4+ conventional T (Tconv) cells, splenic Treg cells of tumor-bearing mice, splenic Tconv cells of tumor-bearing mice, splenic Treg cells of normal mice, or splenic Tconv cells of normal mice.