Activin A regulates human T follicular helper (Tfh) cell differentiation
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
SUBMITTER: Shane Crotty
PROVIDER: E-GEOD-78276 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
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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:Distinct metabolic programs support the differentiation of CD4+T cells into their separate lineages. In this study, we investigated metabolic mechanisms underlying the differentiation of IL-9 producing-CD4+T cells (TH9) in allergic airway inflammation and cancerous tumors. We found here that SIRT1 negatively regulates TH9 differentiation. A deficiency of SIRT1 induced by either conditional deletion in mouse CD4+T cells or the use of small interfering RNA (siRNA) in mouse or human T cells increased IL-9 production, whereas ectopic SIRT1 expression inhibited it. Notably, SIRT1-inhibited the differentiation of TH9 cells that regulated anti-tumor immunity and allergic pulmonary inflammation. Glycolytic activation through the mTOR-hypoxia-inducible factor-1α (HIF1α) pathway was required for the differentiation of the TH9 cells that confer protection against tumors and are involved in allergic airway inflammation. Our results define the essential features of a SIRT1-mTOR-HIF1α signaling-coupled glycolytic pathway in inducing TH9 cell differentiation, with implications for metabolic reprogramming as an immunotherapeutic approach. Lymphocytes were isolated from the spleen and lymph nodes of mice and sorted on a FACSAria II (Becton Dickinson). The sorted naïve T cells (CD4+TCR+CD62Lhi CD44lo) from WT or SIRT1flox/flox-CD4-Cre mice were used for in vitro culture. T cells were activated with 2 ug/ml anti-CD3 (2C11; Bio X Cell), 2 ug/ml anti-CD28 (37.51; Bio X Cell) and 100 U/ml human IL-2. For TH9 cell differentiation, cultures were supplemented with 10 ng/ml IL-4 (R&D system), 2 ng/ml TGFβ1 (R&D system). After 5-6 d culture, differentiated T cells were collected and for microarray assay.
2016-06-14 | E-GEOD-79607 | 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:To determine the role of the cytokine activin A in the regulation of human T follicular helper (Tfh) cell gene program, we performed a transcriptomic analysis (RNA-seq) of human naïve CD4 T cells differentiated in vitro with activin A. The analysis of the gene expression profile driven by activin A, alone or in combination with IL-12 (a know regulator of human Tfh differentiation/function), revealed that activin A can regulate the expression of multiple molecules involved in the differentiation and/or function of human Tfh cells.
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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:We have shown that TGFb in combination with IL-6 potently induces a T follicular helper cell (Tfh) cell phenotype in activated murine CD4+ T cells in vitro. The transcription factor c-Maf critically contributes to the differentiation of Tfh cells in vitro and in vivo.
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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.
2021-03-19 | PXD008563 | Pride
Project description:CD4+ T follicular helper cells (TFH) are critical for the formation and function of B cell responses to infection or immunization, but also play an important role in autoimmunity. The factors that contribute to the differentiation of this helper cell subset are incompletely understood, although several cytokines including IL-6, IL-21 and IL-12 can promote TFH cell formation. Yet, none of these factors, nor their downstream cognate STATs, have emerged as non-redundant, essential drivers of TFH cells. This suggests a model in which multiple factors can contribute to the phenotypic characteristics of TFH cells. As type I interferons (IFNs) are often generated in immune responses, we set out to investigate if these factors are relevant to TFH cell differentiation. Type I IFNs promote Th1 responses, thus one possibility was these factors antagonized TFH-expressed genes. However, we show that type I IFNs (IFN-α/β) induced Bcl6 expression, the master regulator transcription factor for TFH cells, and CXCR5 and PD-1 (encoded by Pdcd1), key surface molecules expressed by TFH cells. In contrast, type I IFNs failed to induce IL-21, the signature cytokine for TFH cells. The induction of Bcl6 was regulated directly by STAT1, which bound to the Bcl6, Cxcr5 and Pdcd1 loci. These data suggest that type I IFNs (IFN-α/β) and STAT1 can contribute to some features of TFH cells but are inadequate in inducing complete programming of this subset. The role of STAT1 in type I interferon treated CD4+ T cells was investigated by Chip-seq of STAT1.
2014-01-22 | E-GEOD-51531 | biostudies-arrayexpress
Project description:Innate memory phenotype (IMP) CD4+ T cells are non-conventional αβ T cells exhibiting features of innate immune cells, characterized as CD44high and CD62Llow in periphery. It is recently reported by our group that bone marrow chimeric mice lacking thymic MHCI expression develop predominantly IMP CD8+ T cells, while those lacking hematopoietic MHCI develop predominantly naïve CD8+ T cells. Here we perform hirarchical clustering analysis and found that CD4+ T cells share similar property: chimeras lacking thymic MHCII gave rise to predominantly CD4+ T cells that resemble IMP CD4+ T cells observed in WT mice, and vice versa, chimeras lacking hematopoietic MHCII had a majority of naïve-like CD4+ T cells resembling naïveCD4+ T cells seen in WT mice. We used microarrays to compare the global programme of gene expression to determine whether the hematopoietic MHCII selected CD4+ T cells are IMP, and whether the thymic MHCII selected CD4+ T cells are naïve CD4+ T cells as observed in WT mice. Through hierarchical clustering and analysis of global gene differential expression, we determined that hematopoietic MHCII dependent IMP CD4+ T cells generated from WT bone marrow transplanted into irradiated MHCII-/- recipients, resemble IMP CD4+ T cells in WT mice, while naïve CD4+ T cells generated from MHCII-/- bone marrow transplanted into irradiated WT recipients, resemble naïve CD4+ T cells in WT mice. Cell Sorting was performed using a Cytopeia Influx Cell Sorter. Chimeric IMP (CD45.1+TCRβ+CD4+CD44highCD62Llow) CD4+ T cells were sorted from splenocytes of CD45.1+WTâCD45.2+MHCII-/- chimeras (WM IMP CD4), and chimeric naïve (CD45.2+TCRβ+CD4+CD44lowCD62Lhigh) CD4+ T cells were sorted from splenocytes of CD45.2+MHCII-/- â CD45.1+WT chimeras (MW naïve CD4) respectively, 8 weeks post transplantation. WT IMP (TCRβ+CD4+CD44highCD62Llow) and naïve (TCRβ+CD4+CD44lowCD62Lhigh) CD4+ T cells were sorted from splenocytes of 8-week old WT mice.
2014-03-14 | E-GEOD-46892 | biostudies-arrayexpress
Project description:CD4 T cell help is critical for both the generation and maintenance of germinal centers, and T follicular helper (TFH) cells are the CD4 T cell subset required for this process. SAP (SH2D1A) expression in CD4 T cells is essential for germinal center development. However, SAP-deficient mice have only a moderate defect in TFH differentiation as defined by common TFH surface markers. CXCR5+ TFH cells are found within the germinal center as well as along the boundary regions of T/B cell zones. Here we show that germinal center associated T cells (GC TFH) can be identified by their co-expression of CXCR5 and the GL7 epitope, allowing for phenotypic and functional analysis of TFH and GC TFH populations. Here we show GC TFH are a functionally discrete subset of further polarized TFH cells, with enhanced B cell help capacity and a specialized ability to produce IL-4 in a TH2-independent manner. Strikingly, SAP-deficient mice have an absence of the GC TFH subset and SAP- TFH are defective in IL-4 and IL-21 production. We further demonstrate that SLAM (Slamf1, CD150), a surface receptor that utilizes SAP signaling, is specifically required for IL-4 production by GC TFH. GC TFH cells require IL-4 and IL-21 production for optimal help to B cells. These data illustrate complexities of SAP-dependent SLAM family receptor signaling, revealing a prominent role for SLAM receptor ligation in IL-4 production by germinal center CD4 T cells but not in TFH and GC TFH differentiation. Analysis of in vivo polyclonal GC Tfh vs Tfh vs Non-Tfh eight days after LCMV viral infection. Analysis of in vivo follicular helper CD4 T cells (CXCR5high GL7low), versus germinal center follicular helper CD4 T cells (CXCR5hi GL7hi), versus non-follicular helper CD4 T cells (CXCR5low) eight days after viral infection.
2010-04-28 | E-GEOD-21380 | biostudies-arrayexpress