Project description:This SuperSeries is composed of the following subset Series: GSE28487: miRNA expression profiling of human immune cell subsets (Roche) GSE28489: miRNA expression profiling of human immune cell subsets (HUG) GSE28490: mRNA expression profiling of human immune cell subset (Roche) GSE28491: mRNA expression profiling of human immune cell subsets (HUG) Blood consists of different cell populations with distinct functions and correspondingly, distinct gene expression profiles. In this study, global miRNA expression profiling was performed across a panel of nine human immune cell subsets (neutrophils, eosinophils, monocytes, B cells, NK cells, CD4 T cells, CD8 T cells, mDCs and pDCs) to identify cell-type specific miRNAs. mRNA expression profiling was performed on the same samples, to determine if miRNAs specific to certain cell types down-regulated expression levels of their target genes. Six cell-type specific miRNAs (miR-143; neutrophil specific, miR-125; T cells and neutrophil specific, miR-500; monocytes and pDC specific, miR-150; lymphoid cells specific, miR-652 and miR-223; both myeloid cells specific) were negatively correlated with expression of their predicted target genes. These results were further validated using an independent cohort where similar immune cell subsets were isolated and profiled for both miRNA and mRNA expression. miRNAs negatively correlated with target gene expression in both cohorts were identified as candidates for miRNA-mRNA regulatory pairs and were used to construct a cell-type specific regulatory network. miRNA-mRNA pairs formed two distinct clusters in the network corresponding to myeloid (nine miRNAs) and lymphoid lineages (two miRNAs). Several myeloid specific miRNAs targeted common genes including ABL2, EIF4A2, EPC1 and INO80D; these common targets were enriched for genes involved in the regulation of gene expression (p < 9.0E-7). Those miRNA might therefore have significant further effect on gene expression by repressing the expression of genes involved in transcriptional regulation. The miRNA and mRNA expression profiles reported in this study form a comprehensive transcriptome database of various human blood cells and serve as a valuable resource for elucidating the role of miRNA mediated regulation in the establishment of immune cell identity. Refer to individual Series

Project description:TSLP pathway blockade is a potential strategy for asthma treatment, as TSLP modulates cytokine production by mast cells and regulates the activation of dendritic cells (DCs), which prime the differentiation of naM-CM-/ve T cells into inflammatory Th2 cells. To assess the effect of TSLPR blockade on the development of allergic inflammation and bronchoconstriction in Cynomolgus monkeys after Ascaris suum allergen challenge. Antibodies against human TSLPR were generated and confirmed to be cross-reactive to cynomolgus. Animals were dosed weekly with either vehicle (n=8) or TSLPR HuMAb (n=8) for 6 weeks and their responses to A.Suum challenge at baseline, week 2 and week 6 were assessed. Antibody-treated animals showed reduced bronchoalveolar lavage (BAL) eosinophil counts (p=0.04), reduced lung resistance (RL) area under the curve (p=0.04), and reduced IL-13 cytokine levels in BAL fluid (p=0.03) in response to challenge at 6 weeks compared to vehicle-treated animals. To understand the molecular changes underlying these differences, BAL fluid samples pre- and post-challenge were profiled using microarrays. Genes up-regulated by allergen challenge overlapped strongly with 11 genes up-regulated in DCs when stimulated by TSLP (TSLP-DC signature). The number of genes differentially expressed in response to challenge was reduced in aTSLPR-treated animals after 6 weeks relative to vehicle-treated animals. Expression of the TSLP-DC gene signature was also significantly reduced in aTSLPR-treated animals (p = 0.05). These results demonstrate promising efficacy for TSLPR blockade in an allergen challenge model where TSLP activation of DCs may play a key role. Animals were dosed weekly with either vehicle (n=8) or TSLPR HuMAb (n=8) for 6 weeks and their responses to A.Suum challenge at baseline, week 2 and week 6 were assessed. One monkey in the aTSLPR-treated group expired during the study for reasons not linked to drug safety and tolerability. BAL fluid samples for all animals were subject to gene expression profiling for pre-challenge, 8h and 24h post-challenge timepoints, at baseline, week 2 and week 6. This amounted to a total of 135 microarrays. Data from 8 animals were excluded as outliers, determined by PCA.

Project description:Blood consists of different cell populations with distinct functions and correspondingly, distinct gene expression profiles. In this study, global miRNA expression profiling was performed across a panel of nine human immune cell subsets (neutrophils, eosinophils, monocytes, B cells, NK cells, CD4 T cells, CD8 T cells, mDCs and pDCs) to identify cell-type specific miRNAs. mRNA expression profiling was performed on the same samples, to determine if miRNAs specific to certain cell types down-regulated expression levels of their target genes. Six cell-type specific miRNAs (miR-143; neutrophil specific, miR-125; T cells and neutrophil specific, miR-500; monocytes and pDC specific, miR-150; lymphoid cells specific, miR-652 and miR-223; both myeloid cells specific) were negatively correlated with expression of their predicted target genes. These results were further validated using an independent cohort where similar immune cell subsets were isolated and profiled for both miRNA and mRNA expression. miRNAs negatively correlated with target gene expression in both cohorts were identified as candidates for miRNA-mRNA regulatory pairs and were used to construct a cell-type specific regulatory network. miRNA-mRNA pairs formed two distinct clusters in the network corresponding to myeloid (nine miRNAs) and lymphoid lineages (two miRNAs). Several myeloid specific miRNAs targeted common genes including ABL2, EIF4A2, EPC1 and INO80D; these common targets were enriched for genes involved in the regulation of gene expression (p < 9.0E-7). Those miRNA might therefore have significant further effect on gene expression by repressing the expression of genes involved in transcriptional regulation. The miRNA and mRNA expression profiles reported in this study form a comprehensive transcriptome database of various human blood cells and serve as a valuable resource for elucidating the role of miRNA mediated regulation in the establishment of immune cell identity. Nine cell subsets (CD16+CD66b+ Neutrophils, CD16-CD66b+ Eosinophils, CD14+ Monocytes, CD4+ T cells, CD8+ T cells, CD56+ NK cells, CD19+ B cells, CD123+ pDCs and CD11c+ mDCs) were isolated from healthy human blood and assessed for cell type purity by flow cytometry. Cell types were isolated from 5 pools of 5 healthy donors each, with the exception for monocytes, where 10 pools were used. RNA obtained from these purified populations were subsequently used for miRNA and mRNA expression profiling by Affymetrix GeneChip miRNA and HG-U133Plus2.0 microarrays.

Dataset Information

Characterization of A Novel CRAC Inhibitor that Potently Blocks Human T cell Activation and Effector Functions

Publications

Characterization of a novel CRAC inhibitor that potently blocks human T cell activation and effector functions.

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