Expression profiling of circular RNAs in human islet samples
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE105096 | GEO | 2018/01/29
REPOSITORIES: GEO
Similar Datasets
Project description:Expression profiling of circular RNAs in human islet samples
| PRJNA414628 | ENA
Project description:Circular RNAs (circRNAs) are widespread circular forms of non-coding RNAs with largely unknown function. Because stimulation of mammary cells with the epidermal growth factor (EGF) leads to dynamic changes in the abundance of both coding and non-coding RNA molecules, and culminates in the acquisition of a robust migratory phenotype, this cellular model might disclose functions of circRNAs. Here we show that circRNAs of EGF-stimulated mammary cells are stably expressed, while mRNAs and micro-RNAs change within minutes. In general, the circRNAs we detected are relatively long-lived and weakly expressed. Interestingly, they are almost ubiquitously co-expressed with the corresponding linear transcripts, and the respective, shared promoter regions are more active compared to genes producing linear isoforms only. These findings imply that altered abundance of circRNAs, unlike changes in the levels of other RNAs, might not play critical roles in signaling cascades and downstream transcriptional networks that rapidly commit cells to specific outcomes. Detection of circRNAs from RNA-Seq â triplicate
2015-12-17 | E-GEOD-71195 | biostudies-arrayexpress
Project description:Circular RNAs (circRNAs) are widespread circular forms of non-coding RNAs with largely unknown function. Because stimulation of mammary cells with the epidermal growth factor (EGF) leads to dynamic changes in the abundance of both coding and non-coding RNA molecules, and culminates in the acquisition of a robust migratory phenotype, this cellular model might disclose functions of circRNAs. Here we show that circRNAs of EGF-stimulated mammary cells are stably expressed, while mRNAs and micro-RNAs change within minutes. In general, the circRNAs we detected are relatively long-lived and weakly expressed. Interestingly, they are almost ubiquitously co-expressed with the corresponding linear transcripts, and the respective, shared promoter regions are more active compared to genes producing linear isoforms only. These findings imply that altered abundance of circRNAs, unlike changes in the levels of other RNAs, might not play critical roles in signaling cascades and downstream transcriptional networks that rapidly commit cells to specific outcomes. Histone 3 Lysine 27 Acetylation â 2 replicates
2015-12-17 | E-GEOD-71196 | biostudies-arrayexpress
Project description:Viruses subvert macromolecular pathways in the infected host to aid in viral gene amplification or to counteract innate immune responses. Recently, roles for host-encoded non-coding RNAs, such as microRNAs, have been found to encode pro- and anti-viral functions. One class of non-coding RNAs are circular RNAs that are generated by a nuclear back-splicing mechanism of pre-mRNAs. This study examines the circular RNA landscape in uninfected and hepatitis C virus (HCV)-infected liver cells. Results showed that the abundances of distinct classes of circular RNAs were up-regulated or down-regulated in infected cells. Identified circular RNAs displayed both pro- and anti-viral effects.
2020-07-16 | GSE143300 | GEO
Project description:Non-coding circular RNAs (circRNAs) have displayed dysregulated expression in the hippocampus of Nrf2-knockout mice.
2019-08-22 | GSE122421 | GEO
Project description:Circular RNAs (circRNAs) are a kind of novel non-coding RNAs. Recent evidence has known that circRNAs play important roles in various diseases; however, few circRNAs have been well characterized in lung cancer. Understanding the expression profile of circRNAs and protein-coding genes is critical to discover the pathogenesis of lung cancer.
2017-07-19 | GSE101586 | GEO
Project description:Circular RNAs (circRNAs), long non-coding RNAs (lncRNAs) and mRNAs have displayed dysregulated expression in the prefrontal cortex of Nrf2-knockout mice.
2020-12-01 | GSE162315 | GEO
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.
2019-12-31 | GSE139932 | GEO
Project description:The pervasive expression of circular RNA from protein coding loci is a recently discovered feature of many eukaryotic gene expression programs. Computational methods to discover and quantify circular RNA are essential to the study of the mechanisms of circular RNA biogenesis and potential functional roles they may play. In this paper, we present a new statistical algorithm that increases the sensitivity and specificity of circular RNA detection.by discovering and quantifying circular and linear RNA splicing events at both annotated exon boundaries and in un-annotated regions of the genome Unlike previous approaches which rely on heuristics like read count and homology between exons predicted to be circularized to determine confidence in prediction of circular RNA expression, our algorithm is a statistical approach. We have used this algorithm to discover general induction of circular RNAs in many tissues during human fetal development. We find that some regions of the brain show marked enrichment for genes where circular RNA is the dominant isoform. Beyond this global trend, specific circular RNAs are tissue specifically induced during fetal development, including a circular isoform of NCX1 in the developing fetal heart that, by 20 weeks, is more highly expressed than the linear isoform as well as beta-actin. In addition, while the vast majority of circular RNA production occurs at canonical U2 (major spliceosome) splice sites, we find the first examples of developmentally induced circular RNAs processed by the U12 (minor) spliceosome, and an enriched propensity of U12 donors to splice into circular RNA at un-annotated, rather than annotated, exons. Together, our algorithm and its results suggest a potentially significant role for circular RNA in human development. 35 human fetal samples from 6 tissues (3 - 7 replicates per tissue) collected between 10 and 20 weeks gestational time were sequenced using Illumina TruSeq Stranded Total RNA with Ribo-Zero Gold sample prep kit.
2015-06-25 | E-GEOD-64283 | biostudies-arrayexpress
Project description:Circular RNAs (circRNAs) are widespread circular forms of non-coding RNAs with largely unknown function. Because stimulation of mammary cells with the epidermal growth factor (EGF) leads to dynamic changes in the abundance of both coding and non-coding RNA molecules, and culminates in the acquisition of a robust migratory phenotype, this cellular model might disclose functions of circRNAs. Here we show that circRNAs of EGF-stimulated mammary cells are stably expressed, while mRNAs and micro-RNAs change within minutes. In general, the circRNAs we detected are relatively long-lived and weakly expressed. Interestingly, they are almost ubiquitously co-expressed with the corresponding linear transcripts, and the respective, shared promoter regions are more active compared to genes producing linear isoforms only. These findings imply that altered abundance of circRNAs, unlike changes in the levels of other RNAs, might not play critical roles in signaling cascades and downstream transcriptional networks that rapidly commit cells to specific outcomes.
2015-12-17 | GSE71196 | GEO