Gene expression profiling of human IL-10+ B-cells
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
SUBMITTER: Michael Poidinger
PROVIDER: E-GEOD-50895 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
Similar Datasets
Project description:The susceptibility of macrophages to HIV-1 infection is modulated during monocyte differentiation. IL-27 is an anti-HIV cytokine that also modulates monocyte activation. Here, we present new evidence that IL-27 promotes monocyte differentiation into macrophages that are non-permissive for HIV-1 infection. While IL-27 treatment does not affect expression of macrophage differentiation markers or macrophage biological functions, it confers HIV resistance by down-regulating spectrin beta non-erythrocyte 1 (SPTBN1), a required host factor for HIV-1 infection. IL-27 down-regulates SPTBN1 through a TAK-1-mediated MAPK signaling pathway. Knockdown of SPTBN1 strongly inhibits HIV-1 infection of macrophages; conversely, overexpression of SPTBN1 markedly increases HIV susceptibility of IL-27 treated macrophages. Moreover, we demonstrate that SPTBN1 associates with HIV-1 gag proteins. Collectively, our results underscore the ability of IL-27 to protect macrophages from HIV-1 infection by down-regulating SPTBN1, thus indicating that SPTBN1 is an important host target to reduce HIV-1 replication in one major element of the viral reservoir. 2 samples with different treatments were analyzed. Genes with absolute fold change >= 5 were selected.
2013-01-18 | E-GEOD-43595 | biostudies-arrayexpress
Project description:IL-10 production by Th17 cells is critical for limiting autoimmunity and inflammatory responses. Gene array analysis on Stat6 and T-bet double deficient Th17 cells identified the Th2 transcription factor c-Maf to be synergistically up-regulated by IL-6 plus TGFbeta, and associated with Th17 IL-10 production. Both c-Maf and IL-10 induction during Th17 polarization depended on Stat3, but not Stat6 or Stat1, and mechanistically differed from IL-10 regulation by Th2 or IL-27 signals. TGFbeta was also synergistic with IL-27 to induce c-Maf, and induced Stat1 independent IL-10 expression in contrast to IL-27 alone. Retroviral transduction of c-Maf was able to induce IL-10 expression in Stat6 deficient CD4 and CD8 T cells, and c-Maf directly transactivated IL-10 gene expression through binding to a MARE motif in the IL-10 promoter. Together, these data reveal a novel role for c-Maf in regulating T effector development, and suggest that TGFbeta may antagonize Th17 immunity by IL-10 production through c-Maf induction. Our recent studies showed that IL-6 combined with TGFbeta differed from IL-6 combined with IL-23 for IL-10 production and pathogenic activities in CD4 T cells deficient in Stat6 and T-bet, despite similar IL-17 production. We performed gene array analysis on Stat6 and T-bet double deficient cells. We rationalized that by comparing gene expression in cells treated with IL-6 plus TGFbeta versus TGFbeta alone, we would be able to identify genes specific for standard Th17 polarization, and responsible for both IL-17 and IL-10 expression. By next comparing gene expression in cells treated with IL-6 plus TGFbeta versus IL-6 plus IL-23, we could eliminate molecules involved solely in IL-17 regulation, and obtain genes specifically responsible for IL-10 regulation.
2009-03-03 | E-GEOD-15029 | biostudies-arrayexpress
Project description:Transcriptional profiling and gene expression profiling analysis of sorted CD8+IL-10+ T cells compared to CD8+IL-10- T cells using IL-10-GFP(tiger) reporter mice Two sample, CD8+IL-10+ T cells vs CD8+IL-10- T cells. Three replicate per array.
2013-06-21 | E-GEOD-37739 | biostudies-arrayexpress
Project description:In this work we present an analytical strategy to systematically identify early regulators by combining gene regulatory networks (GRN) with GWAS. We hypothesized that early regulators in T-cell associated diseases could be found by defining upstream transcription factors (TFs) in T-cell differentiation. Time series expression and DNA methylation profiling of T-cell differentiation identified several upstream TFs, of which TFs involved in Th1/2 differentiation were most enriched for disease associated SNPs identified by GWAS. Naïve CD4+ T cells were isolated from buffy coat of four healthy donors using a naïve CD4+ T cell isolation kit (Miltenyi, Bergisch-Gladbach, Germany). Naïve CD4+ T cells were stimulated with plate-bound anti-CD3 (500 ng/mL), soluble anti-CD28 (500 ng/mL), in the presence of IL-12 (5 ng/mL), IL-2 (10 ng/mL) and antiâ??IL-4 (5 µg/mL) for Th1, IL-4 (10 ng/mL), IL-2 (10 ng/mL) and anti-IL-12 (5 µg/mL) and antiâ??IFN-g (5 µg/mL) for Th2. Cells were cultured for six days in Iscoveâ??s modified Dulbecco medium (IMDM) supplemented with 2 mM L-glutamine (PAA Laboratories, Linz, Austria), 10% heat-inactivated FCS (PAA Laboratories, Linz, Austria), 5 µM βâ??mercaptoethanol (Sigma-Aldrich, St. Louis, Missouri, USA) and 50 ug/mL gentamicin (Sigma-Aldrich, St. Louis, Missouri, USA). Cells were cultured for 6 days and then re-stimulated with plate-bound anti-CD3 and soluble anti-CD28 in the presence of corresponding polarizing cytokines and antibodies for another 2 days (Zhang et al. 2013). RNA was extracted using a miRneasy Mini Kit (Qiagen). The RNA concentrations were analysed with NanoDrop ND-1000 Spectrophotometer (NanoDrop Technologies). For the gene expression microarray analysis, The cRNA was prepared using a Low Input QuickAmp Labeling Kit. For Th1 and Th2 cells the gene expression microarray analysis was performed using SurePrint G3 Human Gene Expression 8x60K microarray kit, according to the manufactureâ??s instruction (Agilent Technologies).
2015-11-12 | E-GEOD-60678 | biostudies-arrayexpress
Project description:We used Affymetrix expression arrays to determine changes in gene expression associated with activation of human NK cells mediated through treatment with cytokines IL-2, IL-12 and IL-18 over a 24 hour period. Human natural killer cells were isolated via negative selection from PBMCs of healthy donors. Cells were found to be > 95% CD3-CD56+. RNA was harvested at time of isolation or after 24 hour stimulation from 8 x 10^6 cells per condition. For stimulations, cells were incubated at 37C (5% CO2) in RPMI, suuplemented with 10% Fetal Bovine Serum at 1.5 x 10^6 cells/ml. Cytokine stimualtions were conducted with IL-2 (100U/mL), IL-12 (10ng/mL) and IL-18 (100ng/mL) from 2 male donors (N = 4). Expression analysis was carried out to determine transcriptional changes associated with 24 hr stimulation relative to freshly isolated cells.
2010-08-05 | E-GEOD-22919 | biostudies-arrayexpress
Project description:In this work we present an analytical strategy to systematically identify early regulators by combining gene regulatory networks (GRN) with GWAS. We hypothesized that early regulators in T-cell associated diseases could be found by defining upstream transcription factors (TFs) in T-cell differentiation. Time series expression and DNA methylation profiling of T-cell differentiation identified several upstream TFs, of which TFs involved in Th1/2 differentiation were most enriched for disease associated SNPs identified by GWAS. Naïve CD4+ T cells were isolated from buffy coat of four healthy donors using a naïve CD4+ T cell isolation kit (Miltenyi, Bergisch-Gladbach, Germany). Naïve CD4+ T cells were stimulated with TGF-β (1 ng/mL), IL-1β (10 ng/mL), IL-6 (25 ng/mL), IL-21 (25 ng/mL) and IL-23 (25 ng/mL) for Th17, and TGF-β (10 ng/mL) and IL-2 (10 ng/mL) for Treg. Cells were cultured for six days in Iscoveâs modified Dulbecco medium (IMDM) supplemented with 2 mM L-glutamine (PAA Laboratories, Linz, Austria), 10% heat-inactivated FCS (PAA Laboratories, Linz, Austria), 5 µM βâmercaptoethanol (Sigma-Aldrich, St. Louis, Missouri, USA) and 50 ug/mL gentamicin (Sigma-Aldrich, St. Louis, Missouri, USA). Cells were cultured for 6 days and then re-stimulated with plate-bound anti-CD3 and soluble anti-CD28 in the presence of corresponding polarizing cytokines and antibodies for another 2 days (Zhang et al. 2013). RNA was extracted using a miRneasy Mini Kit (Qiagen). The RNA concentrations were analysed with NanoDrop ND-1000 Spectrophotometer (NanoDrop Technologies). For the gene expression microarray analysis, The cRNA was prepared using a Low Input QuickAmp Labeling Kit. For Th17 and Treg cells the gene expression microarray analysis was performed using SurePrint G3 Human Gene Expression 8x60K v2 microarray kit, according to the manufactureâs instruction (Agilent Technologies).
2015-11-12 | E-GEOD-60679 | biostudies-arrayexpress
Project description:T helper (Th) cells control host defense to pathogens. IL 12R expression is required for Th1, IL-4RM-NM-1 for Th2, and IL-6RM-NM-1/gp130 for Th17 differentiation to allow responsiveness to IL-12, IL-4, and IL-6, respectively. IL-2 via STAT5 controls Th2 differentiation by regulating the Th2 cytokine gene cluster and Il4ra expression. Here we show that IL-2 regulates Th1 differentiation, inducing STAT5-dependent IL-12RM-NM-22 and T-bet expression, with impaired human Th1 differentiation when IL-2 was blocked. Th1 differentiation was also impaired in mouse Il2-/- T cells but restored by IL-12RM-NM-22 expression. Consistent with IL-2M-bM-^@M-^Ys inhibition of Th17 differentiation, IL-2 decreased Il6ra and Il6st/gp130 expression, and Il6st augmented Th17 differentiation even when IL-2 was present. Thus, IL-2 influences T-cell differentiation by modulating cytokine receptor expression to help specify/maintain differentiated states. Genome-wide mapping of STAT1,STAT4,STAT5A,STAT5B binding to their target genes in Th1 or human CD4+ cells was conducted
2011-04-24 | E-GEOD-27158 | biostudies-arrayexpress
Project description:The human dataset includes the gene expression profile of CD4+ T cells isolated from blood of healthy controls and plated on TCP in RPMI-1640 containing 10% FCS, Penicillin-Streptomycin (50,000 units-50 mg) and L-glutamine (2 mM). Cells were stimulated for 4 days with 20 ng/ml of IL-1beta, 100 IU/ml of IL-2, 20 ng/ml of IL-6, 20 ng/ml IL-23 plus anti-CD2/3/28 beads at a ratio of 1 bead per 10 cells. RNA samples were isolated using the RNeasy Mini Kit (Qiagen) with on-column DNA digestion. The transcriptional profile was evaluated in three different donors using the HT12v4.1 BeadChip arrays from Illumina. Total RNA obtained from CD4+ T cells exposed to Th17-promoting cytokines.
2015-07-23 | E-GEOD-71231 | biostudies-arrayexpress
Project description:Interleukin-33 (IL-33) is a novel member of the IL-1 family of cytokines that plays diverse roles in the regulation of immune responses. IL-33 exerts its effects by binding to a heterodimeric receptor complex consisting of interleukin-1 receptor like 1 (IL1RL1) and an accessory receptor protein IL-1RAcP resulting in the production and release of proinflammatory cytokines. A detailed understanding of the signaling pathways activated by IL-33 remains elusive. To elucidate IL-33 mediated signaling, we performed a global quantitative phosphoproteomic analysis using stable isotope labeling by amino acids in cell culture. Employing anti-phosphotyrosine antibodies and titanium dioxide-based enrichment strategies, we identified 6,207 phosphorylation sites mapping to 2,013 phosphoproteins of which more than 185 phosphosites are regulated by IL-33 stimulation. Our findings will greatly expand the understanding of IL-33 signaling and provide novel therapeutic targets for IL-33/IL-33R-associated diseases in humans.
2015-01-29 | PXD000984 | Pride
Project description:Regulatory B cells (Breg) play a critical role in the control of autoimmunity and inflammation. Although IL-10 is considered the hallmark for the identification of Bregs, the molecular programme that controls IL-10 production in Bregs is yet to be defined. Here, we demonstrate that aryl hydrocarbon receptor (AhR) controls the differentiation and function of IL-10-producing Bregs. Deficiency of AhR-expressing B cells drastically reduces IL-10 production by B cells. This leads to the unrestrained differentiation of T helper (Th)17 cells and a significant reduction in the percentage of regulatory T cells (Treg), which increases the severity of experimental arthritis when compared to control animals with AhR-sufficient B cells. A combination of chromatin-landscape profiling by ATAC-seq and transcriptome analyses by RNA-seq demonstrated that a loss of AhR expression in B cells not only reduces IL-10 expression by Bregs, defined as CD21hiCD24hi B cells, but also promotes a pro-inflammatory programme in CD21hiCD24hi B cells, even under Breg inducing conditions. Thus, AhR acts as a master transcriptional regulator of Breg differentiation by implementing a molecular programme that controls IL-10 production and represses pro-inflammatory cytokine production.
2019-10-15 | E-MTAB-7345 | biostudies-arrayexpress