ABSTRACT: For transcription profiling six mouse T cells samples were analyzed: 3 genotypes 2 samples for each genotype were complared. Two wt animals-control;2 animals containing deficiency allele (Df11(1)) on chromosome 11 and 2 with the reciprocal duplication on chromosome 11(Dp11(1)). The part of the chromosome 11 deleted or duplicated is 0.8Mb between Gast and Hcd17b genes. Splenic CD4+ T cells were purified using anti-CD4 MiniMacs beads (Miltenyi Biotech, Bergisch Gladbach, Germany) according to the manufacturer's protocol and were plated at 106 cells/ml in complete RPMI 1640 medium (Sigma) supplemented with 10% fetal bovine serum (FBS), 0.3 mg/ml L-glutamine, 10 micromolar 2-mercaptoethanol, 100 U/ml penicillin, and 0.1 mg/ml streptomycin in 6 well plates coated overnight with anti-CD3 (5 _g/ml) and anti-CD28 (1 _g/ml) antibodies. After 5 days of culture cells were collected and prepared. Cells were suspended at 107 cells/ml in complete medium and cytokine secretion was induced with 10 ng/ml phorbol 12-myristate 13-acetate (PMA, Sigma) and 1 µg/ml ionomycin (Sigma). After 2 hours protein secretion was inhibited with brefeldin A (1:2000, eBioscience) and after 5 hours RNA from 2x106 cultured CD4+ T cells (RNAeasy kit, Qiagen, Hilden, Germany) was isolated following cytokine induction and 10 mg of RNA was used for hybridiation to mouse 430 2.0 array, Affymetrix, Santa Clara, CA arrays.
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.
Project description:We compared the methylated and non-methylated regions in the genome of ex vivo-isolated naive CD4+ T cells, Th1 cells, Th17 cells and regulatory T cells by methyl-CpG binding domain protein sequencing (MBD-seq). Naive T cells and Th1 cells share more methylated regions than naive T cells and Th17 cells or Th1 and Th17 cells. However, analysis of the non-methylated regions revealed the highest similarity between Th1 and Th17 cells. Another aim was the analysis of the Th17 lineage on the basis of the methylome. We searched for regions absent in the methylome of Th17 but present in naive T cells, Th1 cells and regulatory T cells. Here, we identified differential methylation in the loci of Il17a, Chn2, Dpp4 and Dclk1. CD4+ T effector cells were prepared ex vivo, stimulated with PMA/Ionomycin, subjected to a comercially available cytokine secretion kit (IL-17A and IFNg), stained by adding fluorescence-labeled antibodies against CD3, CD4 and CD45RB and sorted by flow cytometry. We sorted naive CD4+ T cells (CD3+CD4+CD45RB_high), Th1 cells (CD3+CD4+CD45RB_low_IFNg+IL17A-), Th17 cells (CD3+CD4+CD45RB_low_IFNg-IL17A+) and regulatory T cells (CD3+CD4+CD25++).
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).
Project description:Follicular helper T (Tfh) are a subset of CD4+ T helper cells that provide help to germinal center B cells and mediate the development of long-lived humoral immunity. Tfh cells dysregulation is associated with several major autoimmune diseases. Although recent studies showed Tfh cells differentiation is controlled by the transcription factor Bcl6, cytokines and cell-cell signals, limited information is available on the proteome and post-translational modifications (PTM) of proteins in human Tfh cells. In this study, using TMT labeling technique, antibody-based affinity enrichment and high-resolution LC-MS/MS analysis, we investigated quantitative proteome and acetylome in human naive CD4+ T cells and in vitro induced Tfh (iTfh) cells. In total, we identified 802 up-regulated proteins and 598 down-regulated proteins at the threshold of 1.5 folds in iTfh cells compared to naive CD4+ T cells. With the aid of intensive bioinformatics, biological process, cellular compartment, molecular function, KEGG pathway and protein-protein interaction of these differentially expressed proteins were revealed. Moreover, our acetylome data showed that 22 lysine acetylated proteins are up-regulated and 26 lysine acetylated proteins are down-regulated in iTfh cells compared to the naive CD4+ T cells, among which 11 differentially acetylated lysine residues in core histone were identified, indicating proteins acetylation and epigenetic mechanism are involved in regulating Tfh cells differentiation. These data provide a significant resource for studies of Tfh differentiation and normal and perturbed Tfh cell function.
Project description:Naive CD4+ CD62L+ CD25- T cells were differentiated under TH1 and TH2 conditions for 7 days, restimulated with anti-CD3 and anti-CD28 for 24h and sorted for IFN-gamma (TH1) and IL-4 (TH2) production using cytokine secretion assays.
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).
Project description:We surveyed the variation and dynamics of active regulatory elements genome-wide in CD4+ T cells, using Assay of Transposase Accessible Chromatin with sequencing (ATAC-seq) in longitudinal samples from healthy volunteers and during T cell activation. We created robust pipelines that enable accurate single molecule counting and allelic discrimination from clinical material. Over 4000 regulatory elements (7.2%) showed reproducible personal variation in activity. Gender was the most significant attributable source of regulome variation. ATAC-seq revealed novel elements that escape X chromosome inactivation and predicted gender-specific gene regulatory networks across autosomes, which coordinately impact genes with immune function. Noisy regulatory elements with personal variation in accessibility are significantly enriched for autoimmune disease loci. Over one third of regulome variation lacked genetic variation in cis, suggesting contributions from environmental or epigenetic factors. These results refine concepts of human individuality and provide foundational reference to compare disease-associated regulomes. We examined chromatin structure using ATAC-seq in purified human CD4+ T cells in 33 samples from 12 healthy donors and 15 samples from 3 patients with cutaneous T cell leukemia (CTCL). For T cell activation (TCA) time course, CD4+ cells from healthy donor 1 isolated as above were stimulated with ionomycin (1 ug/mL) and Phorbol Myristate Acetate (PMA; 20 ng/mL) and collected at 0, 1, 2, 4 hours in duplicate.
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).
Project description:Primary T cells were isolated from spleen of Parp-1-/- and wild-type mice by magnetic depletion of non-T cells using a MACS Pan-T Cell isolation kit, according to the manufacturer´s instruction (Mintenyi Biotec, Bergisch Gladbach, Germany). Purity was assessed by flow cytometry analysis using antibodies against CD3, CD4 and CD8 and all preparations were more than 98% pure of T cells. The cells were activated with plate-bound anti-mouse CD3 (clone 145-2C11) (5 microg/ml) in the absence or the presence of anti-mouse CD28 (clone 37.51) (5microg/ml) both from BD PharMingen (San Diego, CA) and culture for 3.5 h in RPMI 1640 medium (BioWhittaker) supplemented with 10% FCS, 2mM L-glutamine, 5x10-5 M 2-mercaptoethanol (Sigma), 2.5 microg/ml fungizone, 100 IU/ml penicillin, and 10 microg/ml streptomycin.
Project description:CD4+ T cells (T helper cells) are cytokine-producing adaptive immune cells that activate or regulate the responses of different immune cells. They are known to play crucial roles in antibody class switching in B cells, neutrophil recruitment and activation of macrophages and CD8+ cytotoxic T cells. The activation and functional status of CD4+ T cells is important for adequate responses to pathogen infections but has also been associated with auto-immune disorders and survival in several cancers. In the current study, we carried out proteomic profiling of resting and activated primary human CD4+ T cells from healthy donors. In addition to identifying known markers of CD4+ T cell activation, we also identified protein kinases, protein phosphatases, and cytokines to be differentially expressed.