Transcription profiling of human CD4 positive T cell subsets
ABSTRACT: Peripheral Blood Mononuclear Cells (PBMCs) were isolated from a buffy coat (Australian Blood Bank) using Ficoll methodology. CD4+ T cells were isolated using Dynal Beads kit. Pure CD4+ T cells were then stained using a cocktail of monoclonal antobodies (mAbs), including: anti-CD4PE, CD45RO ECD, CD62L APC-Cy7, CD25 APC, CD127 Pacific Blue. After incubation, cells were washed twice in PBS/FCS (0.2%), and sorted into five different cell subsets: CD4+CD25+CD127low CD62L+CD45RO- (naive regulatory T cells), CD4+CD25+CD127low CD62L+/- CD45RO+ (activated regulatory T cells), CD4+CD25+CD127hi CD62L+/- CD45RO+ (memory T cells), CD4+CD25-CD127low CD62L+/- CD45RO+ (effector T cells) and CD4+CD25-CD127hi CD62L+ CD45RO- (naive T cells).
Project description:Type 1 regulatory T (Tr1) cells are one of the regulatory T cell subsets that are characterized by the production of high amount of IL-10 and lack of FOXP3 expression. Lymphocyte-activation gene 3 (LAG3) is a CD4 homologue molecule and we have previously reported that LAG3 is expressed on IL-10 producing regulatory T cells. However, naturally occurring Tr1 cells in human secondary lymphoid tissue have not been detected. We identified CD4+CD25-LAG3+ T cells in human tonsil. We compared mRNA expression of five CD4+ T cell subsets in tonsil using microarray analysis (CD4+CD25-LAG3+ T cells, CD4+CD25-CXCR5+PD-1+ follicular helper T cells (TFH), CD4+CD25+ T cells, CD4+CD25-LAG3-CD45RO+ cells and CD4+CD25-LAG3-CD45RO- cells). A human tonsil was obtained from a patient undergoing routine tonsillectomy, and five tonsillar CD4+ T cell subsets were sorted (each 1 x 10^5 cells). There is no biological replication.
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:Purified naive (CD4+ CD62L+ CD44-) T cells from 10-11 weeks old T cell specific Furin knockout (CD4-cre fur flox/flox) and littermate wild type (fur flox/flox) control mice were profiled for gene expression using Affymetrix MOE 430 2.0 microarray platform.
Project description:Naïve CD4+ T cells were isolated from spleen of AND TcR transgenic/green fluorescence protein (GFP) transgenic mice (Kaye et al., Nature 1989;341:746, Wright et al, Blood 2001;97:2278) that recognize a peptide of pigeon cytochrome C in the context of I-Ek and express CD44lo, CD62Lhi, CD45RBhi, and CD25-. After 4 days in vitro stimulation with antigen presenting cells (APC) under either Th1 or Th2 condition, naïve cells become Th1 or Th2 effector cells expressing CD44hi, CD62L lo, CD45RBhi, and CD25+. Additional 3 days culture in the absence of APC, those effector cells become rested expressing a phenotype similar to memory cells (CD44 hi, CD62L lo, CD45RB lo and CD25-). These rested effector cells were adaptively transferred into thymectomized, lethally irradiated, and T cell depleted bone marrow reconstituted mice and memory cells were isolated after 4-12 weeks by flow sort. Generation and purification of Th1 and Th2 effector and memory CD4+ T cells of 42 samples.
Project description:Epigenetic factors have been implicated in the regulation of CD4(+) T-cell differentiation. Jmjd3 plays a role in many biological processes, but its in vivo function in T-cell differentiation remains unknown. Here we report that Jmjd3 ablation promotes CD4(+) T-cell differentiation into Th2 and Th17 cells in the small intestine and colon, and inhibits T-cell differentiation into Th1 cells under different cytokine-polarizing conditions and in a Th1-dependent colitis model. Jmjd3 deficiency also restrains the plasticity of the conversion of Th2, Th17 or Treg cells to Th1 cells. The skewing of T-cell differentiation is concomitant with changes in the expression of key transcription factors and cytokines. H3K27me3 and H3K4me3 levels in Jmjd3-deficient cells are correlated with altered gene expression through interactions with specific transcription factors. Our results identify Jmjd3 as an epigenetic factor in T-cell differentiation via changes in histone methylation and target gene expression. ChIP-seq of histone modification marks H3K4me3 and H3K27me3 in WT and JMJD3 cKO mouse CD4+ T-cells
Project description:In this study, we used microarrays to investigate the gene expression program in conventional T cells, nTreg and conventional T cells treated with TGFbeta (iTreg) from wild-type mice and and mice having NFAT1/NFAT2 double-deficient (DKO) T cells. CD4+CD25- and CD4+CD25+ T cells were isolated by MACS and stimulated for 24 h with anti-CD3 and anti-CD28 antibodies in the absence or presence of TGFbeta. RNA was extracted and microarray analyses were performed. The data represents two independent biological replicates.
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
Project description:Gene expression profiling of human CD8+ CD161hi and CD161lo central and effector memory and naïve T cell subsets. The mechanisms by which IL-17 secreting cells are regulated have not been completely elucidated. We previously identified a population of rhodamine-effluxing memory CD8+ T cells with high expression of CD161 that contributes to immune reconstitution after lymphopenia-inducing chemotherapy. Here we find that CD161hi CD8+ T cells share transcriptional programming with Th17 cells, but most do not secrete IL-17 or proliferate to stimulation through the T cell receptor (TCR). Transcriptional analysis of subsets identified by expression of CD161 and CD62L revealed a novel mechanism of TCR signaling pathway regulation in CD161hi CD8+ T cells that is distinct from that described in anergic or tolerant cells and renders them functionally dependent on costimulation through innate cytokine receptors or CD28. CD161hi CD8+ T cells, induced to proliferate by a TCR signal delivered with costimulation, demonstrated plasticity that was dependent on the nature of costimulation and resulted in expansion of IL-17 secreting cells that could not proliferate to a TCR signal alone or differentiation to Tc1-like cells that proliferated to TCR stimulation in the absence of costimulation. The data show an association between TCR signaling pathway downregulation and type 17 programming in CD161hi CD8+ T cells, whose dysregulation could mediate IL-17 dependent inflammatory diseases. T cell subsets were sort-purified from healthy adults and analyzed by gene expression profiling. Isolation: Effluxing CD161hi and non-effluxing CD161lo CD8+ TCM and TEM subsets were purified using magnetic bead separation and cell sorting to achieve >98% purity, as previously described (35). CD8+ T cells were positively selected using CD8 Microbeads (Miltenyi Biotec, Germany), loaded with Rh123 (Sigma, St. Louis, MO) and cultured for 30 min to allow Rh123 efflux, then labeled with fluorochrome-conjugated antibodies to CD4, CD16, TCRγδ, Vα24, CD8, CD95, CD62L and CD161. CD161hi and CD161lo TCM and TEM subsets were sort-purified on a FACS ARIA equipped with 405 nm, 488 nm and 633 nm lasers (BD Biosciences). CD161hi TCM and TEM subsets were identified as CD62L+/Rh123lo/CD161hi and CD62L-/Rh123lo/CD161hi events, respectively, in the CD4-/CD16-/TcRγδ-/Vα24-/CD8+/CD95+ population. CD161lo TCM and TEM subsets were identified as CD62L+/Rh123hi/CD161int/neg and CD62L-/Rh123hi/CD161int/neg events, respectively, in the CD4-/CD16-/TcRγδ-/Vα24-/CD8+/CD95+ population. Gene expression profiling: RNA was extracted from sort-purified subsets from 6 healthy individuals using the RNeasy Plus Minikit (Qiagen, Valencia, CA) and biotinylated, followed by generation of amplified cRNA for array hybridization using the Illumina TotalPrep RNA Amplification Kit (Applied Biosystems, Foster City, CA). Amplified biotinylated cRNA was then purified before quality control to ensure high quality cRNA was available for hybridization. Labeled cRNA was hybridized to Illumina WG-6 Expression BeadChips v3.0 (Illumina, San Diego, CA), which quantitate expression of 48,802 transcripts derived from the NCBI RefSeq (Build 36.2, Release 22) and UniGene databases (Build 199). BeadChips were washed before reading and image extraction, and then scanned on an Illumina BeadArray Reader. The resulting TIFF images were processed using GenomeStudio Gene Expression Module (GEM) software. Data quality was assessed using the Control Summary feature in GenomeStudio GEM. For a given analysis set, a GenomeStudio Probe-level Final Report was generated by combining the Sample Probe Profile and Control Probe Profile tables. The Final Report comprising the full dataset was initially processed using the Bioconductor package lumi by employing a background correction estimate and quantile normalization. A small adjustment (i.e. 20 counts) was made to the entire dataset to make all intensity signals non-negative and these values were log2-transformed. The dataset was initially filtered using the ‘shorth’ function of the Bioconductor package genefilter, resulting in retention of 31,084 of 48,802 original probes. Each pairwise comparison was further filtered by discarding probes whose signal intensity was less than a defined signal “noise floor” across all arrays in the data subset. This was achieved by calculating the median of the ‘negative control’ probe signals for each array, averaging these values, and setting the noise floor as 3 times this average. Differential gene expression was then determined using the Bioconductor package limma, and a false discovery rate (FDR) method applied to correct for multiple testing. Significant differential gene expression was defined by a log2 ratio > 0.585 (± 1.5-fold) and FDR (adjusted p value) < 0.05.
Project description:Foxp3-mediated gene expression program in resting vs. activated CD4+ T cells The microarray part of this work consists of 12 Affymetrix assays corresponding to 3 biological replicates for each of 4 conditions for CD4+CD25- cells. Cells were either transduced with an empty vector or a vector encoding FOXP3, and in each case cells were either stimulated or not by anti-CD3/anti-CD28.
Project description:Regulatory T cells (Treg) prevent the emergence of autoimmune disease. Prototypic natural Treg (nTreg) are programmed by Forkhead-box P3 (FOXP3) and can be reliably identified by demethylation at the FOXP3 locus. To explore the nTreg methylation landscape we performed genome-wide methylation studies on human naïve resting nTreg (rTreg) and conventional naïve CD4+ T cells (Naïve). We detected 2,315 differentially methylated CpGs between these two cell types, many of which clustered into 127 regions of differential methylation (RDMs). T cell activation induced changes in 466 individual CpGs and 18 RDMs in naïve CD4+ T cells, but did not alter DNA methylation in rTreg. Expression of mRNA for TIGIT, an immune suppressive receptor demethylated in rTreg, was upregulated in nTreg and reduced in peripheral blood mononuclear cells of individuals at risk for autoimmune (type 1) diabetes. Gene-set testing of the 127 RDMs revealed enrichment of common Treg signature genes, FOXP3 bound genes and genes directly upregulated by FOXP3, which was primarily driven by the subset of demethylated RDMs. A putative Forkhead-binding motif overrepresented in promoter-associated RDMs suggests methylation regulates gene expression by influencing FOXP3 binding. Our findings provide new insights into epigenetic regulation of human nTreg and the potential to exploit differential methylation as an immune biomarker in human diseases. Naïve and rTreg cells were sorted from buffy coats of 3 healthy male donors (M28, 29, 30) and then activated for 6 days with anti-CD3 and anti-CD28 antibodies, supplemented with IL-2 at day 4. DNA was harvested and bisulfite converted for methylation analysis on illumina HM450 array from 2-3 biological replicates of each cell type: rTreg (M28, M30), naïve (M28, M29, M30), Act-naïve (M28, M29, M30) and Act-rTreg (M29, M30).