Project description:The development and propagation of an adaptive immune response to an invading pathogen is a highly orchestrated process that involves the precise regulation of cytokine expression. Naïve CD4+ T lymphocytes give rise to T helper (Th) cell subsets with functions that are tailored to their respective roles in host defense. MicroRNAs are important regulators of most cellular processes, including many responses in the immune system. To identify novel microRNAs that might be important in human T helper cell differentiation to different subsets we purified T cell subsets from peripheral blood and performed microRNA arratys at Exiqon.
Project description:The development and propagation of an adaptive immune response to an invading pathogen is a highly orchestrated process that involves the precise regulation of cytokine expression. Naïve CD4+ T lymphocytes give rise to T helper (Th) cell subsets with functions that are tailored to their respective roles in host defense. MicroRNAs are important regulators of most cellular processes, including many responses in the immune system. To identify novel microRNAs that might be important in human T helper cell differentiation to different subsets we purified T cell subsets from peripheral blood and performed microRNA arratys at Exiqon. Naïve, Th1, Th2, Th17 and Tregs were FACS-sorted ex-vivo from peripheral blood of 6-11 donors. Due to the very low amount of starting material total RNA from at least 6 different donors was pooled and anlaysed on the arrays. All samples were analyzed against a common reference, which was made by pooling together a small amount of total CD4+ cells from all donors.
Project description:Differentiation of CD4+T-cells into effector subsets is a critical component of the adaptive immune system and an incorrect response can lead to autoimmunity or immune deficiency. Cellular differentiation including T-cell differentiation is accompanied by large-scale transcriptional changes, including expression of microRNAs involved in suppressing mRNA expression. We combined time-series microRNA and mRNA expression to construct a CD4+T-cell microRNA/mRNA regulatory network and identified 25 subnetworks (modules) which were associated with multiple T-cell related diseases. This dataset was designed to assess how microRNA expression changes over time during human CD4+T-cell differentiation and used to construct a microRNA/mRNA regulatory network. Matching mRNA expression profiling is available in E-GEOD-60678.
Project description:A generic genome-scale metabolic model (GEMs) of human CD4+ T-cells. Several cell-specific GEMs for CD4+ T-cell subsets such as Th1, Th2, Th17 and iTreg cells derived from "HTimmR" are included as additional files. The model formats are compatible with RAVEN v.2.0 toolbox.
Project description:Mouse thymocytes can be classified into four major subsets based on expression of CD4 and CD8 co-receptors. CD4-CD8- (double negative, DN) cells become CD4+CD8+ (double positive, DP) cells following productive T cell receptor (TCR) beta chain rearrangement. A small proportion of DP cells are selected through interaction of clonal TCRalpha/beta and MHC self peptide complex expressed on thymic stromal cells. DP cell expressing MHC class I-restricted TCR become CD4-CD8+ cells, which will finally differentiate into cytotoxic T cells, while MHC class II restricted selection generates CD4+CD8- helper lineage T cells. We used microarrays to identify genes important for thymocyte differentiation and lineage determination by profiling gene expression in different thymocyte subsets. Mouse thymocytes were divided into four subsets based on CD4, CD8a, and TCRb expression and purified by flw cytometry. FACS purified DN (CD4-CD8a-TCRb-), DP (CD4+CD8a+), CD4SP (CD4+CD8a-TCRbhi) and CD8SP (CD4-CD8a+TCRbhi) populations were lysed in Trizol, and provided to the Genomics Core Facility of the Memorial Sloan-Kettering Cancer Center (MSKCC) for quality control, quantification, reverse transcription, labeling and hybridization to MOE430A 2.0 microarray chips (Affymetrix). Arrays were scanned per the manufacturer’s specifications for the Affymetrix MOE430v2 chip.