Similar Datasets
Project description:T helper cells (Th) play an important role guarding, regulating and modulating immune responses. The different Th lineages fulfill different tasks in response to infections. The two best defined subtypes are Th1 (involved in cellular immunity) and Th2 (humoral immunity). The cytokine environment after activation determines the differentiation path of a Th cell. We defined a strategy to investigate the differentiation signature of T helper cells with a proteomics approach. Murine primary naïve CD4+ T-cells from spleen were differentiated and activated in vitro. After 3 days of differentiation proteins were analysed. The proteomic profile of the Th1 and Th2 cells will help understand these phenotypes better, which is important in finding therapeutic targets for disease and for the development of effective vaccines.
2019-02-14 | PXD004532 | Pride
Project description:Functionally distinct CD4+ helper T (Th) cell subsets, such as Th1, Th2, Th17, and regulatory T cells (Treg), play a pivotal role in the host-defense against pathogen invasion and the pathogenesis of inflammatory disorders. In this project, DIA-MS-based proteome analysis was performed on naïve CD4+ T, Th0, Th1, Th2, Th17 and iTreg cells using Q Exactive HF-X (Thermo Fisher Scientific) to search for proteins that differ among the cell subsets.
2023-01-04 | PXD036065 | JPOST Repository
Project description:Comparison between naïve CD4+ mouse T cells and either bona fide IFNg+ and IFNg- CD4+ T cells after culturing under Th1 polarizing conditions in the presence of either the epigenetic probe SGC0946 or SGC0649
2018-08-20 | GSE106978 | GEO
Project description:To investigate transciprtomic landscape changes during the Th cell activation induced by Th cell-specific cytokines, we stimulated naïve CD4+ T cells with immobilized anti-TCR mAb and anti-CD28 mAb for 48 hours under Th0, Th1, Th2, Th17, or Treg cell culture conditions.
2022-12-20 | GSE210222 | GEO
Project description:Part 1/5: It includes lipidomic analysis of CD4+ T-cell subsets(Th1,Th2,Th17 and iTreg cells)and their paired controls(Th0 cells).
2021-01-28 | ST001676 | MetabolomicsWorkbench
Project description:The paper describes a model of interaction of Th cells and macrophage in melanoma.
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This model is described in the article:
Modelling and investigation of the CD4 T cells – Macrophages paradox in melanoma immunotherapies
Raluca Eftimie, Haneen Hamam
Journal of Theoretical Biology 420 (2017) 82–104
Abstract:
It is generally accepted that tumour cells can be eliminated by M1 anti-tumour macrophages and CD8+ T cells. However, experimental results over the past 10–15 years have shown that B16 mouse melanoma cells can be eliminated by the CD4+ T cells alone (either Th1 or Th2 sub-types), in the absence of CD8+ T cells. In some studies, elimination of B16 melanoma was associated with a Th1 immune response (i.e., elimination occurred in the presence of cytokines produced by Th1 cells), while in other studies melanoma elimination was associated with a Th2 immune response (i.e., elimination occurred in the presence of cytokines produced by Th2 cells). Moreover, macrophages have been shown to be present inside the tumours, during both Th1 and Th2 immune responses. To investigate the possible biological mechanisms behind these apparently contradictory results, we develop a class of mathematical models for the dynamics of Th1 and Th2 cells, and M1 and M2 macrophages in the presence/absence of tumour cells. Using this mathematical model, we show that depending on the re- polarisation rates between M1 and M2 macrophages, we obtain tumour elimination in the presence of a type-I immune response (i.e., more Th1 and M1 cells, compared to the Th2 and M2 cells), or in the presence of a type- II immune response (i.e., more Th2 and M2 cells). Moreover, tumour elimination is also possible in the presence of a mixed type-I/type-II immune response. Tumour growth always occurs in the presence of a type-II immune response, as observed experimentally. Finally, tumour dormancy is the result of a delicate balance between the pro-tumour effects of M2 cells and the anti-tumour effects of M1 and Th1 cells.
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2019-07-31 | BIOMD0000000770 | BioModels
Project description:CD4+ T cell differentiation is a key element of the adaptive immune system driving appropriate immune responses by selective differentiation into specialized subsets such as Th1 and Th2 cells. Besides those canonical Th cell lineages, hybrid phenotypes such as Th1/2 cells have been identified in vivo, and their generation could be reproduced in vitro. While master transcription factors like T-bet and GATA-3 regulate and maintain differentiation into the canonical lineages, the transcriptional architecture of hybrid phenotypes is less well understood. In particular, it remains unclear whether a hybrid phenotype implies a mixture of the effects of several canonical lineages for each gene, or rather a bimodal behavior across genes. Th cell differentiation is a dynamic process in which the regulatory factors are modulated over time, but longitudinal studies of Th cell differentiation are sparse. Here, we present a dynamic transcriptome analysis following Th cell differentiation into Th1, Th2 and Th1/2 hybrid cells. We found that only a minority of ~20% of Th cell specific genes clearly shows mixed effects from both Th1 and Th2 cells on Th1/2 hybrid cells. While most genes follow either Th1 or Th2 cell gene expression, another fraction of ~20% of genes follows a Th1 and Th2 cell independent transcriptional program under control of the transcription factors STAT1 and STAT4. Overall, our results emphasize the key role of high-resolution longitudinal data for the characterization of cellular phenotypes.
2022-08-05 | GSE200250 | GEO
Project description:Special AT-rich binding protein 1 (SATB1) is a global chromatin organizer and a transcription factor induced by interleukin-4 (IL-4) during the early T helper 2 (Th2) cell differentiation. In this study, we investigated the role of SATB1 in T helper cell differentiation by performing ChIP-on-chip analysis of human cord blood CD4+ T cells cultured in Th1 and Th2 conditions. These results were combined with gene expression profiling results from human differentiating Th cells in which expression of SATB1 was downregulated by RNA interference (RNAi).Our results indicate that SATB1 regulates and is bound to sixty genes in primary human CD4+ T cells, including several IL-12 and/or IL-4 regulated factors, suggesting a role in the development or function of Th subtypes. Cross-linked chromatin obtained from human CD4+ T cells isolated from cord blood cultured in Th1 and Th2 conditions for 24 h was immunoprecipitated with anti-SATB1 antibody.
2010-05-16 | E-GEOD-17380 | biostudies-arrayexpress
Project description:Background: Multiple regulatory mechanisms have been identified employing conventional hypothesis-driven approaches as contributing to allergen-specific immunotherapy outcomes, but understanding of how these integrate to maintain immunological homeostasis is incomplete. Objective: To explore the potential for unbiased systems-level gene co-expression network analysis to advance understanding of immunotherapy mechanisms. Methods: We profiled genome-wide allergen-induced Th-cell responses prospectively during 24 months subcutaneous immunotherapy (SCIT) in 25 rhinitis, documenting changes in immunoinflammatory pathways and associated co-expression networks and their relationships to symptom scores out to 36 months. Results: Prior to immunotherapy, mite-induced Th-cell response networks involved multiple discrete co-expression modules including those related to Th2-, type1 IFN-, inflammation- and FOXP3/IL2-associated signalling. A signature comprising 109 genes correlated with symptom scores, and these mapped to cytokine signalling/T-cell activation-associated pathways, with upstream drivers including hallmark Th1/Th2- and inflammation-associated genes. Reanalysis after 3.5 months SCIT updosing detected minimal changes to pathway/upstream regulator profiles despite 32.5% symptom reduction; however, network analysis revealed underlying merging of FOXP3/IL2-with inflammation-and Th2-associated modules. By 12 months SCIT, symptoms had reduced by 41% without further significant changes to pathway/upstream regulator or network profiles. Continuing SCIT to 24 months stabilized symptoms at 47% of baseline, accompanied by upregulation of the type1 IFN-associated network module and its merging into the Th2/FOXP3/IL2/inflammation module. Conclusions: Subcutaneous immunotherapy stimulates progressive integration of mite-induced Th cell-associated Th2-, FOXP3/IL2-, inflammation- and finally type1 IFN-signalling subnetworks, forming a single highly integrated co-expression network module, maximizing potential for stable homeostatic control of allergen-induced Th2 responses via cross-regulation. Th2-antagonistic type1 IFN signalling may play a key role in stabilizing clinical effects of SCIT.
2021-11-02 | GSE122290 | GEO