Project description:Altered DNA methylation patterns in CD4+ T-cells indicate the importance of epigenetic mechanisms in inflammatory diseases. However, the identification of these alterations is complicated by the heterogeneity of most inflammatory diseases. Seasonal allergic rhinitis (SAR) is an optimal disease model for the study of DNA methylation because of its well-defined phenotype and etiology. We generated genome-wide DNA methylation (Npatients = 8, Ncontrols = 8) and gene expression (Npatients= 9, Ncontrols = 10) profiles of CD4+ T-cells from SAR patients and healthy controls using Illumina’s HumanMethylation450 and HT-12 microarrays, respectively. DNA methylation profiles clearly and robustly distinguished SAR patients from controls, during and outside the pollen season. Moreover, we found that this methylation signature correlated with symptom severity. In agreement with previously published studies, gene expression profiles of the same samples failed to separate patients and controls. Separation by methylation (Npatients = 12, Ncontrols = 12), but not by gene expression (Npatients = 21, Ncontrols = 21) was also observed in an in vitro model system in which purified PBMCs from patients and healthy controls were challenged with allergen. We observed changes in the proportions of memory T-cell populations between patients (Npatients = 35) and controls (Ncontrols= 9), which could explain the observed difference in DNA methylation. Our data highlight the potential of epigenomics in the stratification of immune disease and represents the first successful molecular classification of SAR using CD4+ T cells. Total RNA was isolated from CD4+ T-cells of patients with seasonal allergic rhinitis and healthy controls both during and outside the pollen season. Total RNA was amplified and hybridized to Illumina HT12 version 4 human whole-genome arrays (Illumina, San Diego, CA).
Project description:Gene expression (Npatients = 21, Ncontrols = 21) of CD4+ T-cells failed to seperate patients with seasonal allergic rhinitis (SAR) and healthy controls in an in vitro model system in which purified PBMCs from patients and healthy controls were challenged with allergen for 7 days. PBMCs from 21 patients (P) and 21 healthy controls (H) were challenged with grass pollen for 7 days. Diluent challenged control samples were obtained from all subjects. CD4+ cells were purified by MACS.
Project description:Genome wide gene expression was determined in paired samples of OA affected and preserved cartilage of the same joint using microarray analysis for 33 patients of the RAAK-study. Among the 1717 genes that were significantly different expressed between OA affected and preserved cartilage we found significant enrichment for genes involved in skeletal development (e.g. TNFRSF11B and FRZB). Also several inflammatory genes such as CD55, PTGES and TNFAIP6, previously identified in within-joint analyses as well as in analyses comparing preserved cartilage from OA affected joints versus healthy cartilage were among the top genes. A notable new gene was NGF, highly up-regulated in OA cartilage. To identify gene expression profiles associated with OA processes in articular cartilage and determine pathways responsive to the disease process gene expression profiles of paired preserved and OA affected cartilage samples of the same joint were determined.
Project description:Despite increases in vaccination coverage, reductions in influenza-related mortality have not been observed. Better vaccines are therefore required and influenza challenge studies can be used to test the efficacy of new vaccines. However, this requires the accurate post-challenge classification of subjects by outcome, which is limited in current methods that use artificial thresholds to assign “symptomatic” and “asymptomatic” phenotypes. We present data from an influenza challenge study in which 22 healthy adults (11 vaccinated) were inoculated with H3N2 influenza (A/Wisconsin/67/2005). We generated genome-wide gene expression data from peripheral blood taken immediately before the challenge and at 12, 24, and 48 hours post-challenge. Variation in symptomatic scoring was found among those with laboratory confirmed influenza. By combining the dynamic transcriptomic data with the clinical parameters this variability can be reduced. We identified four subjects with severe laboratory confirmed flu that show differential gene expression in 1,103 probes 48 hours post-challenge compared to the remaining subjects. We have further reduced this profile to 6 genes that can be used to define these subjects. We have used this gene set to predict symptomatic infection from an independent study. This analysis gives further insight into host-pathogen interactions during influenza infection. However, the major potential value is in the clinical trial setting by providing a more quantitative method to better classify symptomatic individuals post influenza challenge. Twenty two healthy volunteers were enrolled for an influenza challenge study. Eleven were vaccinated thirty days before challenge with H3N2 influenza. Whole blood was collected in PAXgene tubes prior to influenza challenge and then at three further timepoints (12, 24 and 48 hours post-challenge).
Project description:We assayed leukocyte global gene expression for a prospective discovery cohort of 106 adult patients admitted to UK intensive care units with sepsis due to community acquired pneumonia or faecal peritonitis. We assigned all samples to sepsis response signature groups after performing unsupervised analysis of the transcriptomic data.
Project description:We assayed leukocyte global gene expression for a prospective validation cohort of 106 adult patients admitted to UK intensive care units with severe sepsis due to community acquired pneumonia.
Project description:We assayed leukocyte global gene expression for a prospective discovery cohort of 265 adult patients admitted to UK intensive care units with severe sepsis due to community acquired pneumonia.
Project description:Analysis of the effect of isolation methods (fluorescence activated cell sorting (FACS), positive and negative immunomagnetic selection) on gene expression in human primary CD4+, CD8+ T cells, B cells and monocytes. FACS incurs the least short-term changes in gene expression signature. This study evaluated the short-term effects on gene expression in four leukocyte subsets (CD4+, CD8+ T cells, B cells and monocytes) of the three commonly used isolation methods (FACS, positive and negative selection) in order to identify the optimal method for cell isolation for gene expression studies in patient samples where gene expression pertaining to a disease state or treatment is of interest and gene expression caused by cell handing is minimized.
Project description:We assayed leukocyte global gene expression for a prospective validation cohort of 221 adult patients admitted to UK intensive care units with sepsis due to community acquired pneumonia or faecal peritonitis. 10 samples from patients scheduled for elective cardiac surgery were also assayed as non-septic controls. We assigned all samples to sepsis response signature groups after performing unsupervised analysis of the transcriptomic data.
Project description:This study evaluated primary CD4+ T cell gene expression treated with pharmacologically achievable concentration (340 nM) of SAHA for 24 hours in order to evaluate potential side effects of this compound in cells relevant to HIV infection. Analysis of human primary CD4+ T cells taken from 9 healthy donors treated with 340 nM of SAHA for 24 hours. Results identify genes modulated by SAHA treatment in human primary CD4+ T cells.