Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA256199 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Microarray used to detail the global gene transcription underlying sorted IFNg+ and IFNg- Tregs (CD4+CD25+CD127lo) and Tconv (CD4+CD25-CD127+) for fresh (unexpanded) and 14 day expanded cells from human blood. Treg and Tconv were FACS isolated from five healthy subjects (median age of 26, range 22-30). Sorted cells were separated into two groups: the first group was stimulated for 4 hours with PMA/ionomycin and labeled with the IFNg cytokine capture kit (Miltenyi Biotech) followed by FACS isolation of IFNg- and IFNg+ populations. The second set was expanded to day 14 prior to reactivation and cytokine cell capture. For each IFNg sorted population, cells were pelleted and flash frozen before RNA isolation and processing.
2015-05-01 | E-GEOD-59786 | biostudies-arrayexpress
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
Project description:We have previously developed an approach that fractionates genomic DNA fragments depending on their CpG density (methyl-CpG-immunoprecipitation, MCIp), and adapted this approach to identify regions that are differentially methylated in the two closely related regulatory T-cells (Treg cells) and conventional T-cells (Tconv cells). Because Treg cells naturally occur at a relatively low frequency, we used a previously established protocol to expand Treg cells from a stable naïve Treg population that is characterized by the co-expression of CD4, CD25 and CD45RA. We separated gDNA of both expanded T cell lineages (Tregexp and Tconvexp) into unmethylated (CpG) and methylated pools (mCpG) using MCIp and compared cell type-specific differences in DNA methylation by co-hybridization of the two umethylated or the two methylated DNA subpopulations of Treg and Tconv, respectively, to these locus-wide custom tiling arrays. As enriched DNA-fragments from a cell type in the methylated fraction should be depleted in the unmethylated fraction, the signal intensities in CpG pool and mCpG pool hybridizations should complement themselves (âMirror-Imageâ approach) and thereby allow the identification of differentially methylated regions (DMR). Because we expected to find lineage-specific methylation differences with greater probability in regions associated with differential transcriptional activity, we limited our analysis to gene loci that showed cell type-specific gene expression in Treg versus Tconv cells plus a handful of control regions that were equally expressed in both cell types. The microarray used in this study covered 12 megabases of the human genome and contained 69 regions (with a median size of 100.000 kb) and 128 proximal promoter regions and 181 genes, which included a number of well known and functionally relevant genes like CD40LG, IFNG, FOXP3, IL2RA and CTLA4. Keywords: MCIp-on-chip; comparative genomic hybridization With MCIp gDNA from Treg or Tconv cells was separated into hypo- and hypermethylated pools. On each array, wheather the two hypomethylated fractions- one from Treg, the other from Tconv cells- or the two hypermethylated fractions were cohybridized. Two biological replicates.
2010-05-18 | E-GEOD-14233 | biostudies-arrayexpress
Project description:Regulatory T (Treg) cells can facilitate transplant tolerance and attenuate autoimmune- and inflammatory diseases. Therefore, it is clinically relevant to stimulate Treg cell expansion and function in vivo and to create therapeutic Treg cell products in vitro. We report that TNF receptor 2 (TNFR2) is a unique costimulus for naïve, thymus-derived (t)Treg cells from human blood that promotes their differentiation into non-lymphoid tissue (NLT)-resident effector Treg cells, without Th-like polarization. In contrast, CD28 costimulation maintains a lymphoid tissue (LT)-resident Treg cell phenotype. We base this conclusion on transcriptome and proteome analysis of TNFR2- and CD28-costimulated CD4+ Treg cells and conventional T (Tconv) cells, followed by bioinformatic comparison with published transcriptomic Treg cell signatures from NLT and LT in health and disease, including autoimmunity and cancer. These analyses illuminate that TNFR2 costimulation promotes Treg cell capacity for survival, migration, immunosuppression and tissue regeneration. Functional studies confirmed improved migratory ability of TNFR2-costimulated tTreg cells. Flow cytometry validated the presence of the TNFR2-driven Treg cell signature in effector/memory Treg cells from the human placenta as opposed to blood. Thus, TNFR2 can be exploited as driver of NLT-resident Treg cell differentiation for adoptive cell therapy or antibody-based immunomodulation in human disease.
2024-01-24 | PXD048248 | Pride
Project description:Gene expression profiling of immortalized human mesenchymal stem cells with hTERT/E6/E7 transfected MSCs. hTERT may change gene expression in MSCs. Goal was to determine the gene expressions of immortalized MSCs.
2010-09-25 | GSE24338 | GEO
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.
2020-07-10 | GSE138604 | GEO
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.
2020-07-10 | GSE138603 | GEO
Project description:CD4+CD25+FOXP3+ human regulatory T cells (Treg) are essential for self-tolerance and immune homeostasis. Here, we generated genome-wide maps of poised and active enhancer elements marked by histone H3 lysine 4 monomethylation and histone H3 lysine 27 acetylation for CD4+CD25highCD45RA+ naive and CD4+CD25highCD45RA- memory Treg and their CD25- conventional T cell (Tconv) counterparts after in vitro expansion . In addition we generated genome-wide maps of the transcription factors STAT5, FOXP3, RUNX1 and ETS1 in expanded CD4+CD25highCD45RA+ Treg- and CD4+CD25- Tconv to elucidate their role in cell type-specific gene regulation. ChIP-seq of 2 histone marks and transcription factors ETS1, STAT5, FOXP3 and RUNX1 in expanded T cell subpopulations
2014-04-01 | E-GEOD-43119 | biostudies-arrayexpress
Project description:Transcriptional profiling of human mesenchymal stem cells comparing normoxic MSCs cells with hypoxic MSCs cells. Hypoxia may inhibit senescence of MSCs during expansion. Goal was to determine the effects of hypoxia on global MSCs gene expression.
2011-02-19 | GSE20463 | GEO