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:Human IL-10– and IL-10+ TH17 clones maintained their pro- or anti-inflammatory characteristics after long-term culture. There were similarities between human IL-10– vs. IL-10+ TH17 clones and mouse pathogenic vs. non-pathogenic TH17 cells.
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.
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:Transcriptional profiling of Homo sapiens inflammatory skin diseases (whole skin biospies): Psoriasis (Pso), vs Atopic Dermatitis (AD) vs Lichen planus (Li), vs Contact Eczema (KE), vs Healthy control (KO) In recent years, different genes and proteins have been highlighted as potential biomarkers for psoriasis, one of the most common inflammatory skin diseases worldwide. However, most of these markers are not psoriasis-specific but also found in other inflammatory disorders. We performed an unsupervised cluster analysis of gene expression profiles in 150 psoriasis patients and other inflammatory skin diseases (atopic dermatitis, lichen planus, contact eczema, and healthy controls). We identified a cluster of IL-17/TNFα-associated genes specifically expressed in psoriasis, among which IL-36γ was the most outstanding marker. In subsequent immunohistological analyses IL-36γ was confirmed to be expressed in psoriasis lesions only. IL-36γ peripheral blood serum levels were found to be closely associated with disease activity, and they decreased after anti-TNFα-treatment. Furthermore, IL-36γ immunohistochemistry was found to be a helpful marker in the histological differential diagnosis between psoriasis and eczema in diagnostically challenging cases. These features highlight IL-36γ as a valuable biomarker in psoriasis patients, both for diagnostic purposes and measurement of disease activity during the clinical course. Furthermore, IL-36γ might also provide a future drug target, due to its potential amplifier role in TNFα- and IL-17 pathways in psoriatic skin inflammation. In recent years, different genes and proteins have been highlighted as potential biomarkers for psoriasis, one of the most common inflammatory skin diseases worldwide. However, most of these markers are not psoriasis-specific but also found in other inflammatory disorders. We performed an unsupervised cluster analysis of gene expression profiles in 150 psoriasis patients and other inflammatory skin diseases (atopic dermatitis, lichen planus, contact eczema, and healthy controls). We identified a cluster of IL-17/TNFα-associated genes specifically expressed in psoriasis, among which IL-36γ was the most outstanding marker. In subsequent immunohistological analyses IL-36γ was confirmed to be expressed in psoriasis lesions only. IL-36γ peripheral blood serum levels were found to be closely associated with disease activity, and they decreased after anti-TNFα-treatment. Furthermore, IL-36γ immunohistochemistry was found to be a helpful marker in the histological differential diagnosis between psoriasis and eczema in diagnostically challenging cases. These features highlight IL-36γ as a valuable biomarker in psoriasis patients, both for diagnostic purposes and measurement of disease activity during the clinical course. Furthermore, IL-36γ might also provide a future drug target, due to its potential amplifier role in TNFα- and IL-17 pathways in psoriatic skin inflammation.
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.