This SuperSeries is composed of the SubSeries listed below.
Lymphocyte DNA methylation mediates genetic risk at shared immune-mediated disease loci.
Sex, Age, Specimen part, Subject
View SamplesWith a focus on rheumatoid arthritis (RA), we sought new insight into genetic mechanisms of adaptive immune dysregulation to help prioritise molecular pathways for targeting in this and related immune pathologies. Whole genome methylation and transcriptional data from isolated CD4+ T cells and B cells of >100 genotyped and phenotyped inflammatory arthritis patients, all of whom were naïve to immunomodulatory treatments, were obtained. Analysis integrated these comprehensive data with GWAS findings across IMDs and other publically available resources.
Lymphocyte DNA methylation mediates genetic risk at shared immune-mediated disease loci.
Sex, Age, Specimen part, Subject
View SamplesWith a focus on rheumatoid arthritis (RA), we sought new insight into genetic mechanisms of adaptive immune dysregulation to help prioritise molecular pathways for targeting in this and related immune pathologies. Whole genome methylation and transcriptional data from isolated CD4+ T cells and B cells of >100 genotyped and phenotyped inflammatory arthritis patients, all of whom were naïve to immunomodulatory treatments, were obtained. Analysis integrated these comprehensive data with GWAS findings across IMDs and other publically available resources.
Lymphocyte DNA methylation mediates genetic risk at shared immune-mediated disease loci.
Sex, Age, Specimen part, Subject
View Samples242 patients recruited from an early arthritis clinic donated RNA and DNA from freshly isolated and purified peripheral blood CD19+ B cells. Global gene expression measurement was carried out using Illumina BeadChip HT12v4 microarrays. Objectives included the identification of B cell transcripts differentially expressed between disease phenotypes, where all patients were naive to immunomodulatory therapy. In addition an eQTL analysis was carried out with reference to known genotype data for this cohort of patients
CD4+ and B Lymphocyte Expression Quantitative Traits at Rheumatoid Arthritis Risk Loci in Patients With Untreated Early Arthritis: Implications for Causal Gene Identification.
Sex, Specimen part
View SamplesThis study is part of a larger multidisciplinary study entitled A dormant sub-population expressing interleukin-1 receptor characterises anti-estrogen resistant ALDH+ breast cancer stem cells.
Increased Expression of Interleukin-1 Receptor Characterizes Anti-estrogen-Resistant ALDH<sup>+</sup> Breast Cancer Stem Cells.
Specimen part, Disease, Subject
View SamplesThe Drosha-DGCR8 complex (Microprocessor) is required for microRNA (miRNA) biogenesis. DGCR8 contains two double-stranded RNA binding motifs that recognize the RNA substrate, whereas Drosha functions as the endonuclease. We have used high-throughput sequencing of RNAs isolated by crosslinking immunoprecipitation (HITS-CLIP) to identify endogenous RNA targets of DGCR8 in mammalian cells. Unexpectedly, miRNAs were not the most abundant targets. DGCR8-bound RNAs comprised several hundred mRNAs as well as snoRNAs and long non-coding RNAs. We found that DGCR8 together with Drosha controls the abundance of several mRNAs, as well as long non-coding RNAs, such as MALAT-1. By contrast, the DGCR8-mediated cleavage of snoRNAs is independent of Drosha, suggesting the involvement of DGCR8 in cellular complexes with other endonucleases. Interestingly, binding of DGCR8 to cassette exons, acts as a novel mechanism to regulate the relative abundance of alternatively spliced isoforms. Collectively, these data provide new insights in the complex role of DGCR8 in controlling the fate of several classes of RNAs. Overall design: Comparison of RNAs associated to both endogenous (D8) and overexpressed (T7) DGCR8 in HEK293T cells
Drosha regulates gene expression independently of RNA cleavage function.
Cell line, Subject
View SamplesGene expression changes in 3 human melanoma cell lines were compared to freshly isolated normal primary melanocytes Overall design: Three biological replicates for each melanoma cell line and primary melanocytes were labeled and run Illumina HiSeq2500. The transcriptome of melanocytes was compared to cell line SK-Mel-28, SK-Mel-147 or UACC-62.
Systems analysis identifies melanoma-enriched pro-oncogenic networks controlled by the RNA binding protein CELF1.
Specimen part, Subject
View Samples