Similar Datasets
Project description:We analyze open chromatin regions of three populations of human Tregs
2018-09-26 | GSE119372 | GEO
Project description:Transcriptome analysis of naïve Tregs, memory Tregs and CD161+ Tregs
| PRJNA489005 | ENA
Project description:ATAC-seq data from naïve Tregs, memory Tregs and CD161+ Tregs
| PRJNA489004 | ENA
Project description:Changes in Treg function are difficult to quantify due to the lack of Treg-exclusive markers in humans and the complexity of functional experiments. We sorted naive and memory human Tregs and conventional T cells, and identified genes that identify human Tregs regardless of their state of activation. We developed this Treg signature using Affymetrix human genome U133A 2.0 microarrays. To generate Tregs and Tconvs in multiple states of activation, naïve (CD4+CD25hiCD45RA+) and memory (CD4+CD25hiCD45RA-) Tregs, and naïve (CD4+CD25-CD45RA+) and memory (CD4+CD25-CD45RA-) Tconvs were sorted from blood of 7 healthy adults and RNA was isolated ex vivo or after stimulation for 40h, promoting activation-induced FOXP3 in Tconvs. The gene-expression profile of the eight cell subsets was analyzed.
2016-01-19 | GSE76598 | GEO
Project description:A comparative analysis of gene expression of 3 different experiments; 1. Perinate or adult-tagged GFP+YFP+ and bulk GFP+YFP- Tregs, 2. FL or BM-derived Tregs 3. Perinate or adult thymic Tregs. 1. Foxp3-eGFP-Cre-ERT2 x Rosa26-YFP lineage-reporter mice were injected ip with tamoxifen (4 injections, every third day) between 0-10 (perinate) or 35-45 (adult) days of age, and keep until 8 weeks of age. Perinate or adult-tagged GFP+YFP+ cells and bulk GFP+YFP- were double-sorted. 2. Hematopoietic progenitor cells were isolated from E18.5 fetal liver of CD45.1 congenic mice or from bone marrow of 5 weeks old CD45.2 B6 mice via negative selection of Thy1.2+ cells. The two populations were mixed at a 1:1 ratio, and were iv-transferred into irradiated (1000 rad) Rag-1-KO mice. FL or BM-derived Tregs were double sorted after reconstitution. 3. Foxp3-GFP+ Tregs were double-sorted from perinate (4 days old) or adult (5 weeks old) thymi. RNA from whole samples was amplified, labeled, and hybridized to Affymetrix Mouse Gene 1.0 ST Arrays.
2015-02-27 | E-GEOD-66332 | biostudies-arrayexpress
Project description:Changes in Treg function are difficult to quantify due to the lack of Treg-exclusive markers in humans and the complexity of functional experiments. We sorted naive and memory human Tregs and conventional T cells, and identified genes that identify human Tregs regardless of their state of activation. We developed this Treg signature using Affymetrix human genome U133A 2.0 microarrays. To generate Tregs and Tconvs in multiple states of activation, naïve (CD4+CD25hiCD45RA+) and memory (CD4+CD25hiCD45RA-) Tregs, and naïve (CD4+CD25-CD45RA+) and memory (CD4+CD25-CD45RA-) Tconvs were sorted from blood of 7 healthy adults and RNA was isolated ex vivo or after stimulation for 40h, promoting activation-induced FOXP3 in Tconvs. The gene-expression profile of the eight cell subsets was analyzed. 7 adult healthy control samples were sorted into 4 subsets: naïve (CD4+CD25hiCD45RA+) and memory (CD4+CD25hiCD45RA-) Tregs, and naïve (CD4+CD25-CD45RA+) and memory (CD4+CD25-CD45RA-) Tconvs. These were used for RNA ex vivo and after 40h stimulation with anti-CD3/CD28 beads to induce an activation phenotype.
2016-01-19 | E-GEOD-76598 | biostudies-arrayexpress
Project description:A comparative analysis of gene expression of 3 different experiments; 1. Perinate or adult-tagged GFP+YFP+ and bulk GFP+YFP- Tregs, 2. FL or BM-derived Tregs 3. Perinate or adult thymic Tregs.
2015-02-27 | GSE66332 | GEO
Project description:The aim of the project is to do proteomic analysis of total cell lysate from rest and activated mouse Tregs. The proteomic data were mapped to the Gene Ontology Cellular Component (GOCC)database to obtain the list of membrane proteins on activated Tregs. The set of membrane proteins identified were compared with the potential Siglec-1 counter-receptors on activated Tregs.
2021-04-28 | PXD022259 | Pride
Project description:We identified decreases in circulating CCR10+ Tregs in human hypertension. In order to better determine the phenotype of these cells, we performed bulk RNA sequencing of flow sorted human CCR10+ versus CCR10- Tregs from healthy control individuals. Results revealed evidence of increased T cell activation in CCR10+ Tregs.
2023-05-02 | GSE211844 | GEO
Project description:Disturbed expression of microRNAs (miRNAs) in regulatory T-cells (Tregs) leads to development of autoimmunity in experimental mouse models. However, the miRNA expression signature characterizing Tregs of autoimmune diseases, such as rheumatoid arthritis (RA) has not been determined yet. Moreover, the technical limitations prevented the analysis of such minute T-cell population as naive and memory Tregs. In this study we have used a microarray approach to comprehensively analyze miRNA expression signatures of naive Tregs (CD4+CD45RO-CD25++), memory Tregs (CD4+CD45RO+CD25+++), as well as conventional naive (CD4+CD45RO-CD25-) and memory (CD4+CD45RO+CD25-) T-cells (Tconvs) derived from peripheral blood of RA patients, and matched healthy controls. Differential expression of selected miRNAs was validated by TaqMan-based qRT-PCR. We found a positive correlation between increased expression of miR-451 in T-cells of RA patients and disease activity score (DAS28), ESR levels, and serum levels of IL-6. Moreover, we found characteristic, disease and treatment independent, global miRNA expression signatures defining naive Tregs, memory Tregs, naive Tconvs and memory Tconvs. The analysis allowed us to define miRNAs characteristic for a general naive phenotype (e.g. miR-92a), a general memory phenotype (e.g. miR-21, miR-155), and most importantly miRNAs specifically expressed in both naive and memory Tregs, defining as such the Treg phenotype (i.e. miR-146a, miR-3162, miR-1202, miR-1246a, and miR-4281). MicroRNA profiling was performed in four CD4+ T-cell subsets: naive Tconventional (CD3+CD8-CD45RO-CD25-), naive Tregulatory (CD3+CD8-CD45RO-CD25+), memory Tconventional (CD3+CD8-CD45RO+CD25-), and memory Tregulatory (CD3+CD8-CD45RO+CD25+) derived from 2 healthy controls, and 6 rheumatoid arthritis patients (total n=8).
2014-01-22 | E-GEOD-50646 | biostudies-arrayexpress