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Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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Transcription profiling of mouse fat derived flow sorted Treg cells

ABSTRACT: Comparisons of global gene-expression profiles revealed a greater distinction between CD4+ Treg cells and CD4+ conventional (Tconv) T cells residing in abdominal (epidydimal) fat versus in more standard locations such as the spleen, thymus and LN. Experiment Overall Design: All gene expression profiles were obtained from highly purified T cell populations sorted by flow cytometry. To reduce variability, cells from multiple mice were pooled for sorting, and three replicates were generated for all groups. RNA from 3-5 x 104 cells was amplified, labeled, and hybridized to Affymetrix M430v2 microarrays. Raw data were preprocessed with the RMA algorithm in GenePattern, and averaged expression values were used for analysis.

ORGANISM(S): Mus musculus

SUBMITTER: CBDM Lab

PROVIDER: E-GEOD-7852 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Fat Treg cells

Project description:Comparisons of global gene-expression profiles revealed a greater distinction between CD4+ Treg cells and CD4+ conventional (Tconv) T cells residing in abdominal (epidydimal) fat versus in more standard locations such as the spleen, thymus and LN. Keywords: Cell population comparison

2009-07-27 | GSE7852 | GEO

Kinetic analysis of the response to anti-CD3 in conventional and regulatory CD4+ T cells, in mice and in vitro.

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.

2013-07-01 | E-GEOD-48210 | biostudies-arrayexpress

Retinoic Acid Enhances Foxp3 Induction Indirectly by Relieving Inhibition from CD4(+)CD44(hi) Cells.

Project description:CD4(+)Foxp3(+) regulatory T (Treg) cells originate primarily from thymic differentiation, but conversion of mature T lymphocytes to Foxp3 positivity can be elicited by several means, including in vitro activation in the presence of TGF-beta. Retinoic acid (RA) increases TGF-beta-induced expression of Foxp3, through unknown molecular mechanisms. We showed here that, rather than enhancing TGF-beta signaling directly in naive CD4(+) T cells, RA negatively regulated an accompanying population of CD4(+) T cells with a CD44(hi) memory and effector phenotype. These memory cells actively inhibited the TGF-beta-induced conversion of naive CD4(+) T cells through the synthesis of a set of cytokines (IL-4, IL-21, IFN-gamma) whose expression was coordinately curtailed by RA. This indirect effect was evident in vivo and required the expression of the RA receptor alpha. Thus, cytokine-producing CD44(hi) cells actively restrain TGF-beta-mediated Foxp3 expression in naive T cells, and this balance can be shifted or fine-tuned by RA. All gene expression profiles were obtained from highly purified T cell populations sorted by flow cytometry. To reduce variability, cells from multiple mice were pooled for sorting, and replicates were generated for essentially all groups. RNA from 0.5-3 x 105 cells was amplified, labeled, and hybridized to Affymetrix M430v2 microarrays. Raw data were preprocessed with the RMA algorithm in GenePattern, and averaged expression values were used for analysis.

2008-11-16 | E-GEOD-13306 | biostudies-arrayexpress

Anti-CD3 therapy permits regulatory T cells to surmount T cell receptor-specified peripheral niche constraints

Project description:Treatment with anti-CD3 is a promising therapeutic approach for autoimmune diabetes, but its mechanism of action remains unclear. Foxp3+ regulatory T (Treg) cells may be involved, but the evidence has been conflicting, and there is great uncertainty as to possible mechanistic connections. We investigated this issue in mice derived from the NOD model, which were engineered mice in which Treg populations were perturbed, or could be manipulated by acute ablation or transfer. The data highlighted the involvement of Foxp3+ cells in anti-CD3 action. Rather than a generic influence on all Treg cells, the therapeutic effect seemed to involve an striking expansion of previously constrained Treg cell populations; this expansion occurred not through conversion from Foxp3- Tconv cells but from a dramatic proliferative expansion. We found that Treg cells are normally constrained by TCR-specific niches in secondary lymphoid organs, and that intraclonal competition restrains their possibility for conversion and expansion in the spleen and lymph nodes, much as niche competition limits their selection in the thymus. The strong perturbations induced by anti-CD3 overcame these niche limitations, in a process dependent on receptors for trophic cytokines, interleukin-2 receptor (IL-2R) and IL-7R. Keywords: Treatment response All gene expression profiles were obtained from highly purified T cell populations sorted by flow cytometry. RNA from 5 - 50 x 104 cells was amplified, labeled, and hybridized to Affymetrix M430v2. Raw data were preprocessed with the RMA algorithm in GenePattern, and averaged expression values were used for analysis.

2010-07-29 | E-GEOD-22527 | biostudies-arrayexpress

Transcription profiling of mouse T cells transfected with constituatively actived Akt vs controls reveals AKT regulates de novo induction of Foxp3

Project description:The CD4+Foxp3+ regulatory T cells play an essential role in maintaining tolerance via their suppressive function on conventional T cells. The intracellular signaling pathways that regulate Foxp3 expression are largely unknown. In this study we describe a novel inhibitory role for AKT in regulating de novo induction of Foxp3 both in vivo and in vitro. A constitutively active allele of AKT significantly diminished TGF-Ã¢ induced Foxp3 induction via a rapamycin-sensitive pathway, establishing a role for the AKT-mTOR axis in Treg cells. Moreover, the observed impairment in Foxp3 induction was paralleled by a selective downmodulation of the imparted Treg transcriptional signature highlighting the importance of the balance of intracellular signals in Treg differentiation . Our results provide a basis for further elucidation of molecular mechanisms that regulate Foxp3 induction and identify AKT as an important negative regulator of this process. Experiment Overall Design: All gene expression profiles were obtained from highly purified T cell populations sorted by flow cytometry. To reduce variability, cells from multiple mice were pooled for sorting, and three replicates were generated for all groups. RNA from 0.5-2.5 x 105 cells was amplified, labeled, and hybridized to Affymetrix M430v2 microarrays. Raw data were preprocessed with the RMA algorithm in GenePattern, and averaged expression values were used for analysis.

2008-04-07 | E-GEOD-7596 | biostudies-arrayexpress

Expression data of Pioglitazone-, Rosiglitazone-, GW1929- and vehicle-treated CD4+FoxP3- T cells transduced with Foxp3+Pparg1

Project description:Pioglitazone treatment of CD4+FoxP3- T cells transduced with Pparg and Foxp3 up-regulated a set of genes whose products have been implicated in lipid metabolism pathways. To verify the specificity of this treatment, we performed microarray analysis on Foxp3+Pparg1-transduced CD4+FoxP3- T cells after treatment with other PPARg agonists such as Rosiglitazone (TZD) and GW1929 (non-TZD). All gene expression profiles were obtained from highly purified (double-sorted) T cell populations sorted by flow cytometry. To reduce variability, cells from multiple mice were pooled. Triplicates were generated for all groups. Raw data were preprocessed with the RMA algorithm in GenePattern and averaged expression values were used for analysis.

2012-05-03 | E-GEOD-37534 | biostudies-arrayexpress

Expression data of Pioglitazone- or vehicle-treated CD4+FoxP3- T cells transduced with Foxp3+/- Pparg1 (or Pparg2)

Project description:We identified Pparg as a major orchestrator of the phenotype of adipose-tissue resident regulatory T cells (VAT Tregs). To explore the contribution of Pparg1 and 2 in the generation of the VAT Tregs-specific gene signatures, CD4+FoxP3- T cells were transduced with Foxp3+/- Pparg1 (or Pparg2), treated with Pioglitazone or vehicle, and double sorted for microarray analysis. All gene expression profiles were obtained from highly purified (double-sorted) T cell populations sorted by flow cytometry. To reduce variability, cells from multiple mice were pooled. Triplicates were generated for all groups. Raw data were preprocessed with the RMA algorithm in GenePattern and averaged expression values were used for analysis.

2012-05-03 | E-GEOD-37533 | biostudies-arrayexpress

Proteomics reveals unique identities of human TGF-β-induced and thymus-derived CD4+ 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.

2022-11-28 | PXD038302 | Pride

Immune Gene Expression Profile of Conventional and 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.

2015-04-30 | E-GEOD-61834 | biostudies-arrayexpress

Treg cell gene expression signature in B16 melanoma

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.

2016-10-31 | GSE87335 | GEO

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