Project description:Transcriptional profiling of human peripheral B cell subsets sorted by flow cytometry based on the secretion of IL-10 in response to CpG2006 stimulation. Goal was to identify molecular markers to distinguish IL-10-producing B cells form non-IL-10-producing B cells.
Project description:To determine characterize human B cells that express IL-10 on a molecular level, we compared the global gene expression of primary CD19pos B cells secreting IL-10 or not, upon activation with anti-CD40, IL-4 and CpG for 2 days.
Project description:To determine characterize human B cells that express IL-10 on a molecular level, we compared the global gene expression of primary CD19pos B cells secreting IL-10 or not, upon activation with anti-CD40, IL-4 and CpG for 2 days. Human B cells from healthy donors were sorted according to CD19 expression by magnetic cell separation. The cells were stimulated at 2.5E06 cells/ml by activating anti-CD40 mAb (1 M-BM-5g/ml, clone 82111, RnD Systems), recombinant human IL-4 (10 ng/ml, Immunotools) and CpG2006 (3 M-BM-5g/ml) for 2 days following restimulation for 3 h with phorbol myristate acetate (PMA, 10 ng/ml) and ionomycin (1 M-BM-5g/ml). Staining of viable IL-10 secreting human CD19pos B cells was performed by the IL-10 capture assay according the manufacturers instructions (Miltenyi Biotec, n=2). Finally, the cells were sorted into IL-10posCD69pos and IL-10negCD69pos cells by flow cytometric cell sorting on a BD Aria II sorter (Becton Dickinson). Dead cells were excluded using propidium iodide. Total RNA was extracted using the RNeasy Mini kit (Qiagen). The integrity and amount of isolated RNA was assessed for each sample using an Agilent 2100 Bioanalyzer (Agilent, Waldbronn, Germany) and a NanoDrop ND-1000 spectrophotometer (NanoDrop Technologies, Wilmington, DE). Double-stranded complementary RNA was synthesized from 1 M-BM-5g total RNA using Message AmpII Biotin (Ambion, USA). Fifteen micrograms of fragmented cRNA of each sample were hybridized to four HG-U133A plus 2.0 GeneChips (Affymetrix). Hybridization was performed in a Hybridization Oven 640, and chips were washed and stained in the Fluidics Station 400 (both Affymetrix). Finally, the arrays were scanned with a GeneChip Scanner 3000 using the GCOS software, version 1.4, both Affymetrix. All relevant GCOS data of quality checked microarrays were analyzed with High Performance Chip Data Analysis (HPCDA, unpublished), using the BioRetis database (www.bioretis-analysis.de), as described and validated previously.
Project description:Following combined stimulation through Toll-like receptor (TLR)-9 and the B-cell receptor (BCR), human B cells were sorted based on IL-10 expression. Microarray analysis showed that just ~0.7% of genes were differentially expressed between IL-10- and IL-10+ B-cells. However, connectivity map analysis revelaed that the IL-10+ cells were those undergoing differentiation to germincal centre B cells, and we identified a CD11c- B-cell subset that was enriched in cells capable of producing IL-10 B-cells were isolated using the Dynabeads Untouched Human B-cells kit, stimulated during 48 hours and then sorted based on IL-10 using secretion assay kit and cell sorter.
Project description:Transcriptional profiling of human peripheral B cell subsets sorted by flow cytometry based on the secretion of IL-10 in response to CpG2006 stimulation. Goal was to identify molecular markers to distinguish IL-10-producing B cells form non-IL-10-producing B cells. Two-condition experiment, non-IL-10-secreting B cells vs. IL-10-secreting B cells. Healthy donors. Biological replicates: 6
Project description:In this study we have compared the proteomic profile of subsets of extracellular vesicles (EVs) prepared from primary human NK cells cultured for 48hrs in serum-free conditions supplemented with 10 ng/ml human recombinant IL-12, IL-15, and IL-18. The aim was to isolate and define an EV subset with cytolytic activity against tumor cells. For this purpose, bulk EVs were separated according to density (density gradient ultracentrifugation; DG-UC) to yield 3 distinct subsets.
Project description:Immune system homeostasis depends on signals that drive effector (like secretion of pro-inflammatory cytokines like IFNg) and regulatory (like secretion of the anti-inflammatory cytokine IL-10) functions. In this study we aimed at understand the signals that drive the switching from IFNg+ to IL-10+ state in CD4+ human T cells
Project description:T cells were collected from four healthy donors using heparin anti-coagulant, diluted with equal amounts of PBS EDTA, then layered over Lymphoprep and spun to collect PBMCs. CD4+ T cells were purifed using the Miltenyi positive selection magnetic labeling kit. Cells were resuspended in RPMI (Invitrogen) with 10% FCS amd 50 U/ml IL-2 (Immunotools), and 3.5x105 plated out per well in 48 well plates, coated overnight with 2 µg/ml anti-CD3 and either anti-CD28 or anti-CD46. Purity was assessed by flow cytometry and was in all cases ⥠95%. RNA was purified from a set of unactivated cells before plating, to represent the resting, 0 hr time point samples. For early activation samples, CD28 or CD46 co-stimulated cells were harvested 2 hrs after plating. Then, 36 hours after plating, the remaining CD46-stimulated cells were harvested and labeled for IL-10 or IFN-g secretion using the Miltenyi cytokine detection kits, according to manufacturerâs instructions. Cells were then sorted into separate cytokine-secreting populations (IFN-g+/IL-10â, IFN-g+/IL-10+, and IFN-gâ/IL-10+) using a BD biosciences FACS machine.RNA from separate populations was labeled using the Hy3 microRNA (miRNA) Power labeling kit (Exiqon) and hybridised to an LNA (locked nucleic acid)-based miRCURY miRNA microarray slides (Exiqon, version 11) using a Maui hybridisation chamber (BioMicrosystems). Spot signals were acquired with an Agilent array scanner and GenePix Pro 4.1 was used for annotation (mirBase 14.0), signal processing and quantification using default background subtraction.
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:Gene expression profiling on IL-10-secreting and non-secreting murine Th1 cells, stimulated in the presence or absence of the Notch ligand Delta-like 4 (Dll4), was performed to identify transcription factors co-expressed with IL-10. Primary naM-CM-/ve T helper cells were isolated from lymph nodes and spleens of C57BL/6 wildtype mice. Cells were enriched using the Multisort Kit from Miltenyi Biotec for CD25-CD4+CD62L+, and afterwards cultured under Th1 polarizing conditions. For activation, 0.25E06 naM-CM-/ve T cells were co-cultured with 0.75E06 MACSi Beads in 96-well flat bottom plates. MACSi Beads were coated with anti-CD3 and anti-CD28 (30 M-BM-5g of total primary IgG antibody per 1.0E08 beads) prior to seeding. Notch activation via Dll4 was induced by additional co-culture with MACSi Beads covalently coated with recombinant mouse Dll4. After 5 days in culture, the cells were restimulated with PMA/Ionomycin and subjected to an IL-10-secretion assay (Miltenyi Biotec) to separate IL-10-secreting and non-secreting cells. Using a BD Aria or DIVA cell sorter (Becton Dickinson), living CD4+ IL-10-secreting and non-secreting cells, with (co-culture with Dll4; 'TH1Notch') or without ('TH1Control') activation of the Notch signaling pathway, were isolated. Total RNA was extracted using the RNeasy Mini kit (Qiagen). The integrity and amount of isolated RNA was assessed for each sample using an Agilent 2100 Bioanalyzer (Agilent, Waldbronn, Germany) and a NanoDrop ND-1000 spectrophotometer (NanoDrop Technologies, Wilmington, DE). The preparation for the hybridization to the chip was done using the GeneChip 3' IVT Express Kit. Fifteen micrograms of fragmented cRNA of each sample were hybridized to a total of 4 mouse genome 430 2.0 GeneChips (Affymetrix). Hybridization was performed in a Hybridization Oven 640, and chips were washed and stained in the Fluidics Station 400 (both Affymetrix). Finally, the arrays were scanned with a GeneChip Scanner 3000 using the GCOS software, version 1.1.1., both Affymetrix. The data was analyzed using the original GCOS CHP-file Signals, Excel and AmiGO website.