EGAS00001002749-sc-2019-03-19T14:49:22Z - samples
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ABSTRACT:
PROVIDER: EGAD00001004852 | EGA |
REPOSITORIES: EGA
Similar Datasets
Project description:We isolated T cells and monocotyes from healthy platelet donors and cultured them in resting and stimulated conditions with addition of a range of cytokines. We performed K27Ac ChM sequencing to assess the chromatin activity in different cytokines treated cells. These cellular profiles were used to map risk variants to the cytokine-induced cell states relevant for autoimmune diseases.
| EGAS00001002749 | EGA
Project description:We isolated T cells and monocotyes from healthy platelet donors and cultured them in resting and stimulated conditions with addition of a range of cytokines. We performed ATAC sequencing to assess the chromatin accessability in different cytokines treated cells. These cellular profiles were used to map risk variants to the cytokine-induced cell states relevant for autoimmune diseases. .
This dataset contains all the data available for this study on 2019-03-11.
| EGAD00001004831 | EGA
Project description:We isolated T cells and monocotyes from healthy platelet donors and cultured them in resting and stimulated conditions with addition of a range of cytokines. We performed ATAC sequencing to assess the chromatin accessability in different cytokines treated cells. These cellular profiles were used to map risk variants to the cytokine-induced cell states relevant for autoimmune diseases.
| EGAS00001003501 | EGA
Project description:We isolated T cells and monocotyes from healthy platelet donors and cultured them in resting and stimulated conditions with addition of a range of cytokines. We performed RNA sequencing to assess impact of different disease-relevant cytokines upon immune cell responses.
| EGAS00001003823 | EGA
Project description:We isolated T cells from healthy platelet donors and cultured them in resting and stimulated conditions with addition of a range of cytokines. We performed scRNA sequencing to assess the variability of polarization in different cytokines treated cells.
Cytokines affect T cell responses by polarising them to different phenotypes. Given that the inflammation and and autoimmune tissue distruction is driven by the local production of cytokines, we investigated cytokine induced changes in T cells by using a combination of immunological and genomics approaches. To characterize, the efficacy of cytokine induced porization, here we stimulated naive and memory CD4+ T cells in the presence of cytokine polarizing coctails and profiled single cell transcriptome five days following polarization.
This data is part of a pre-publication release. For information on the proper use of pre-publication data shared by the Wellcome Trust Sanger Institute (including details of any publication moratoria), please see http://www.sanger.ac.uk/datasharing/
| EGAS00001003215 | EGA
Project description:Cytokines affect T cell responses by polarising them to different phenotypes. We isolated T cells from healthy platelet donors and cultured them in resting and stimulated condition, as well as in the presence of Th2, iTreg and Th17 polarizing cocktail. To characterize the efficacy of cytokine induced porization and subpopulation specific response, we profiled single cell transcriptome five days following polarization using 10x platform (3' v2).
| EGAD00001005290 | EGA
Project description:Cytokines affect T cell responses by polarising them to different phenotypes. We isolated T cells from healthy platelet donors and cultured them in resting and stimulated conditions, as well as in the presence of Th1, Th2, Th17 and iTreg cocktail. In addition, T cells were stimulated in the presence of IL-10, IL-21, IL-27, IFNb and TNFa. We performed bulk RNA sequencing to assess impact of different disease-relevant cytokines upon T cell response.
| EGAD00001005291 | EGA
Project description:An exome sequencing strategy employed to identify pathogenic variants in patients with pediatric-onset systemic lupus or Evans syndrome resulted in the discovery of six novel monoallelic mutations in PTPN2. PTPN2 is a phosphatase that acts as an essential negative regulator of the JAK/STAT pathways downstream of several cytokine pathways. All identified mutations led to a loss of PTPN2 regulatory function as evidenced by in vitro cytokine reporter and phosphatase assays, and by hyperproliferation of patients’ T cells stimulated with cytokines. Furthermore, patients exhibited high serum levels of various inflammatory cytokines, mimicking the profile observed in individuals with gain-of-function mutations in various STAT factors. Flow cytometry analysis of patients’ blood cells revealed typical alterations associated with autoimmunity, such as an expansion of CD11c+ B cells and follicular helper T cells, and all patients presented with anti-platelet or other autoantibodies. These findings further supported the notion that a loss of function in negative regulators of cytokine pathways can lead to a broad spectrum of autoimmune manifestations and that PTPN2 along with SOCS1 haploinsufficiency constitute a new group of monogenic autoimmune diseases that can benefit from targeted therapy.
2024-06-21 | GSE270302 | GEO
Project description:Type 1 diabetes (T1D) is a chronic T-cell-mediated autoimmune disease, leading to the destruction of the pancreatic insulin-producing beta cells. Little is known about the involvement of neutrophils that exert multifaceted functions like phagocytosis, degranulation, production of cytokines and the formation of neutrophil extracellular traps (NETosis), in the pathogenesis of T1D. Our aim was to gain insight into the proteome of neutrophils undergoing NETosis from patients with long-standing T1D compared to age- and sex-matched healthy controls under both resting and stimulated conditions (phorbol-myristate acetate, PMA, 100nM; ionomycin, 20µM; 3hours) by LC/MS-MS.
2023-05-15 | PXD033599 | Pride
Project description:Many cytokines are involved in the pathogenesis of autoimmune diseases and are recognized as relevant therapeutic targets to attenuate inflammation, such as TNFα in RA and IFNα/γ in SLE. To relate the transcriptional imprinting of cytokines in a cell type-specific and disease-specific manner, we generated gene-expression profiles from peripheral monocytes of SLE and RA patients and compared them to in vitro-generated signatures induced by TNFα, IFNα2a and IFNγ. Monocytes from SLE and RA patients revealed disease-specific gene-expression profiles. In vitro-generated signatures induced by IFNα2a and IFNγ showed similar profiles that only partially overlapped with those induced by TNFα. Comparisons between disease-specific and in vitro-generated signatures identified cytokine-regulated genes in SLE and RA with qualitative and quantitative differences. The IFN-responses in SLE and RA were found to be regulated in a STAT1-dependent and STAT1-independent manner, respectively. Similarly, genes recognized as TNFα-regulated were clearly distinguishable between RA and SLE patients. While the activity of SLE monocytes was mainly driven by IFN, the activity from RA monocytes showed a dominance of TNFα that was characterized by STAT1 down-regulation. The responses to specific cytokines were revealed to be disease-dependent and reflected the interplay of cytokines within various inflammatory milieus. This study has demonstrated that monocytes from RA and SLE patients exhibit disease-specific gene-expression profiles, which can be molecularly dissected when compared to in vitro-generated cytokine signatures. The results suggest that an assessment of cytokine-response status in monocytes may be helpful for improvement of diagnosis and selection of the best cytokine target for therapeutic intervention. Expression profiles of human peripheral blood monocytes activated in vivo and stimulated in vitro. Monocytes from patients with SLE and RA and from healthy donors were used for generating disease-specific gene-expression profiles, where these profiles represent in vivo activation of monocytes. In addition, monocytes from healthy donors were stimulated in vitro by cytokines: TNFα, IFNα2a and IFNγ. Cytokine-specific gene-expression profiles were generated by comparing stimulated monocytes with unstimulated ones. TNFα-, IFNα2a- and IFNγ as cytokine-specific gene-expression profiles were compared with RA and SLE, as disease-specific gene-expression profiles.
2012-06-13 | E-GEOD-38351 | biostudies-arrayexpress