Project description:This SuperSeries is composed of the following subset Series: GSE37532: Gene expression profile of regulatory T cells (Tregs) isolated from visceral adipose tissue and lymph nodes of mice sufficient and deficient of Pparg expression in Tregs GSE37533: Expression data of Pioglitazone- or vehicle-treated CD4+FoxP3- T cells transduced with Foxp3+/- Pparg1 (or Pparg2) GSE37534: Expression data of Pioglitazone-, Rosiglitazone-, GW1929- and vehicle-treated CD4+FoxP3- T cells transduced with Foxp3+Pparg1 Refer to individual Series
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.
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).
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.
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.
Project description:This SuperSeries is composed of the following subset Series: GSE40238: Genome-wide maps of FoxP3 binding in transduced CD4+ T cells GSE40273: Gene expression profiling in Treg cells deficient or mutant in candidate FoxP3 cofactors GSE40274: Gene profiling data of CD4+ T cells transduced with FOXP3 and candidate cofactors GSE40276: Gene profiling data of CD4+ T cells transduced with FOXP3 and GATA1, then sorted into different fractions, based on the expression of Thy1.1 (FOXP3) GSE40277: Gene profiling data of CD4+ T cells doubly transduced with EOS+LEF1 or GATA1+SATB1 Refer to individual Series
