Project description:Type 1 diabetes (T1D) is characterized by immune mediated destruction of insulin producing β cells. Biomarkers capable of identifying T1D risk and dissecting disease-related heterogeneity represent an unmet clinical need. Aims: Towards the goal of informing T1D biomarker strategies, we profiled different classes of RNAs in human islet-derived exosomes and identified RNAs that were differentially expressed under cytokine stress conditions. Human pancreatic islets were obtained from cadaveric donors and treated with/without IL-1β and IFN-γ to mimic the pro-inflammatory T1D milieu. Total RNA and small RNA sequencing were performed to identify long (mRNA and long non-coding RNAs) and different classes of small non-coding RNAs. RNAs with fold change ≥ 1.3 and p-value < 0.05 were considered as differentially expressed. mRNAs and miRNAs species represented the most abundant long and small RNA species, respectively. Expression patterns of each class of RNA were changed with cytokine treatment. Differentially expressed long RNAs and targets of small non-coding RNAs were predicted to be involved in insulin secretion, calcium signaling, necrosis and apoptosis. Our data provides the first comprehensive catalog of protein coding and non-coding RNAs in human islet-derived exosomes and identifies RNAs that are dysregulated under cytokine stress.
Project description:Type 1 diabetes (T1D) is characterized by immune mediated destruction of insulin producing β cells. Biomarkers capable of identifying T1D risk and dissecting disease-related heterogeneity represent an unmet clinical need. Aims: Towards the goal of informing T1D biomarker strategies, we profiled different classes of RNAs in human islet-derived exosomes and identified RNAs that were differentially expressed under cytokine stress conditions. Human pancreatic islets were obtained from cadaveric donors and treated with/without IL-1β and IFN-γ to mimic the pro-inflammatory T1D milieu. Total RNA and small RNA sequencing were performed to identify long (mRNA and long non-coding RNAs) and different classes of small non-coding RNAs. RNAs with fold change ≥ 1.3 and p-value < 0.05 were considered as differentially expressed. mRNAs and miRNAs species represented the most abundant long and small RNA species, respectively. Expression patterns of each class of RNA were changed with cytokine treatment. Differentially expressed long RNAs and targets of small non-coding RNAs were predicted to be involved in insulin secretion, calcium signaling, necrosis and apoptosis. Our data provides the first comprehensive catalog of protein coding and non-coding RNAs in human islet-derived exosomes and identifies RNAs that are dysregulated under cytokine stress.
Project description:To understand the role of long non-coding RNAs and interaction with coding RNAs in bladder urothelial cell carcinoma (BUCC), we performed genome-wide screening long non-coding RNAs and coding RNAs expression on primary BUCC tissues and normal tissues using long non-coding RNA array (Agilent plateform (GPL13825). By comparing these two groups, significantly differentially expressed lncRNAs and coding RNAs were identified. We further identifed a subset of long noncoding RNAs and their correlation with neighboring coding genes using bioinformatic tools. This analysis provides foundamental understaning of transcriptomic landscape changing during bladder carcinogenesis.
Project description:Cortical neural progenitor cells (NPCs) change their competency over time during development, giving rise to distinct cell types sequentially. Many genes that govern cortical development are now known, but it remains elusive how their temporal expression is controlled. Recently, long non-coding RNAs are found to be essential for cell-fate specification and precise gene regulation in many developmental events. In this study, strand-specific RNA sequencing studies unveil large amount of long non-coding RNAs are actively and differentially expressed across mouse cortical development. Integration of RNA sequencing data from key stages of developing mouse cortex enables us to cluster coding and non-coding transcripts into co-expression “modules” to infer functional relationships. Intriguingly, the cortical transcriptome undergoes significant changes in early mouse neurogenesis. Cortical long non-coding RNAs tends to be transcribed from genomic loci adjacent to protein-coding genes related to neural development. Finally, we found large amount of predicted enhancer regions are able to transcribe RNAs. This study will help us better understand molecularly how cortical NPCs specify their fates during development, especially roles of lncRNAs in this process.