PPARγ is a major driver of the accumulation and phenotype of adipose-tissue Treg cells
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ABSTRACT: 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. 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: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). 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:The colonic lamina propria contains a distinct population of Foxp3+ T regulatory cells (Tregs) that modulate responses to commensal microbes. Analysis of gene expression revealed that the transcriptome of colonic Tregs is distinct from splenic and other tissue Tregs. Rorγ and Helios in colonic Tregs mark distinct populations: Rorγ+Helios- or Rorγ-Helios+ Tregs. We uncovered an unanticipated role for Rorγ, a transcription factor generally considered to be antagonistic to Foxp3. Rorγ in colonic Tregs accounts for a small but specific part of the colon-specific Treg signature. (1) Total colonic and splenic Foxp3+ Treg comparison: Lymphocytes were isolated from colonic lamina propria and spleens of Foxp3-ires-GFP mice, where GFP reports Foxp3 expression. TCRb+CD4+GFP+ cells were double sorted into Trizol. (2) Colonic Rorγ+ and Rorγ- Treg comparison: Foxp3-ires-Thy1.1 reporter mice were crossed to Rorc-GFP reporter mice to generate mice that report both Foxp3 and Rorγ expression. Rorγ+Foxp3+ Tregs (TCRb+CD4+Thy1.1+GFP+) and Rorγ-Foxp3+ Tregs (TCRb+CD4+Thy1.1+GFP-) from colonic lamina propria were double sorted into Trizol.To reduce variability and increase cell number, cells from multiple mice were pooled for sorting and at least three replicates were generated for all groups. RNA from 1.5-3.0 x104 cells was amplified, labeled and hybridized to Affymetrix Mouse Gene 1.0 ST Arrays.
Project description:The transcription factor FoxP3 partakes dominantly in the specification and function of FoxP3+ CD4+ T regulatory cells (Tregs), but is neither strictly necessary nor sufficient to determine the characteristic Treg transcriptional signature. Computational network inference and experimental testing assessed the contribution of several other transcription factors (TFs). Enforced expression of Helios or Xbp1 elicited specific signatures, but Eos, Irf4, Satb1, Lef1 and Gata1 elicited exactly the same outcome, synergizing with FoxP3 to activate most of the Treg signature, including key TFs, and enhancing FoxP3 occupancy at its genomic targets. Conversely, the Treg signature was robust to inactivation of any single cofactor. A redundant genetic switch thus locks-in the Treg phenotype, a model which accounts for several aspects of Treg physiology, differentiation and stability. To study the impact of FoxP3 and its candidate cofactors (Eos, Gata1, Helios, Irf4, Lef1, Satb1, Xbp1) on the expression of the Treg transcriptional signature, CD4+ conventional T cells (Tconv) activated with anti-CD3+CD28 beads were retrovirally transduced with cDNAs encoding FOXP3, candidate TFs, or a combination of FOXP3 and candidate TFs. After 3 days in culture, the transduced cells were sorted into Trizol, and RNA was purified, labeled and hybridized to Affymetrix arrays.
Project description:The transcription factor FoxP3 partakes dominantly in the specification and function of FoxP3+ CD4+ T regulatory cells (Tregs), but is neither strictly necessary nor sufficient to determine the characteristic Treg transcriptional signature. Computational network inference and experimental testing assessed the contribution of several other transcription factors (TFs). Enforced expression of Helios or Xbp1 elicited specific signatures, but Eos, Irf4, Satb1, Lef1 and Gata1 elicited exactly the same outcome, synergizing with FoxP3 to activate most of the Treg signature, including key TFs, and enhancing FoxP3 occupancy at its genomic targets. Conversely, the Treg signature was robust to inactivation of any single cofactor. A redundant genetic switch thus locks-in the Treg phenotype, a model which accounts for several aspects of Treg physiology, differentiation and stability. To study the impact of FOXP3 alone or together with GATA1 on the expression of the Treg transcriptional signature, we sorted and profiled matched bins of FOXP3-transduced cells bearing various levels of FOXP3, alone or co-transduced with GATA1, chosen as a representative of the quintet factors.
Project description:A phenotypically and functionally distinct population of CD4+ Foxp3+ T cells (Tregs) rapidly accumulates in acutely injured skeletal muscle of mice, just as invading myeloid-lineage cells switch from a pro-inflammatory to a pro-regenerative state. Analysis of gene expression of Tregs and CD4+Foxp3- T cells (Tconvs) from injured muscle and spleen revealed that the transcriptome of muscle Treg cells is distinct from that of splenic Tregs. A set of genes is uniquely expressed by muscle Tregs, while another set is over-expressed by the two muscle populations vis-à-vis their two spleen counterparts. 6 wk-old Foxp3-ires-GFP mice were injured in skeletal muscles with cardiotoxin. Four and fourteen days later, Tregs and Tconvs from spleen and muscle were double-sorted into Trizol. To reduce variability, cells from multiple mice were pooled for sorting, and three replicates were generated for all groups. RNA from 1.5-2.5 x 104 cells was amplified, labeled, and hybridized to Affymetrix Mouse Gene 1.0 ST Arrays.
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:The transcription factor FoxP3 partakes dominantly in the specification and function of FoxP3+ CD4+ T regulatory cells (Tregs), but is neither strictly necessary nor sufficient to determine the characteristic Treg transcriptional signature. Computational network inference and experimental testing assessed the contribution of several other transcription factors (TFs). Enforced expression of Helios or Xbp1 elicited specific signatures, but Eos, Irf4, Satb1, Lef1 and Gata1 elicited exactly the same outcome, synergizing with FoxP3 to activate most of the Treg signature, including key TFs, and enhancing FoxP3 occupancy at its genomic targets. Conversely, the Treg signature was robust to inactivation of any single cofactor. A redundant genetic switch thus locks-in the Treg phenotype, a model which accounts for several aspects of Treg physiology, differentiation and stability. To study the impact of the combination of two transcription factors on the expression of the Treg transcriptional signature, CD4+ Tconv cells activated with anti-CD3+CD28 beads were retrovirally transduced with cDNAs encoding EOS and LEF1, or GATA1 and SATB1. The cells were then sorted into Trizol, and RNA was purified, labeled and hybridized to Affymetrix arrays.