MicroRNA expression levels in human primary fibroblasts
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE24610 | GEO | 2011/06/09
SECONDARY ACCESSION(S): PRJNA132547
REPOSITORIES: GEO
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Project description:MicroRNAs (miRNAs) are regulatory non-coding RNAs that affect the production of a significant fraction of human mRNAs via post-transcriptional regulation. Inter-individual variation of miRNA expression levels is likely to influence the expression of miRNA target genes, and may therefore contribute to phenotypic differences in humans, including susceptibility to common disorders. The extent to which miRNA levels are genetically controlled is largely unknown. In this report, we assayed the expression levels of miRNAs in primary fibroblasts from 180 European newborns of the GenCord project, and performed association analysis to identify eQTLs (expression quantitative traits loci). We detected robust expression for 121 miRNAs out of 365 interrogated. We have identified significant cis- (10%) and trans- (11%) eQTLs. Furthermore, we detected one genomic locus (rs1522653) that influences the expression levels of five miRNAs, thus unraveling a novel mechanism for co-regulation of miRNA expression. Primary fibroblasts were derived from the umbilical cord of 180 newborns of Western European origin recruited for the GenCord project. Mature miRNA expression phenotypes were generated using the micro-fluidics-based TaqMan® Human MiRNA Array v1.0 (Applied Biosystems). For each sample, expression levels for 365 known human mature miRNAs were assayed .
2011-06-09 | E-GEOD-24610 | biostudies-arrayexpress
Project description:MicroRNAs (miRNAs) are regulatory noncoding RNAs that affect the production of a significant fraction of human mRNAs via post-transcriptional regulation. Interindividual variation of the miRNA expression levels is likely to influence the expression of miRNA target genes and may therefore contribute to phenotypic differences in humans, including susceptibility to common disorders. The extent to which miRNA levels are genetically controlled is largely unknown. In this report, we assayed the expression levels of miRNAs in primary fibroblasts from 180 European newborns of the GenCord project and performed association analysis to identify eQTLs (expression quantitative traits loci). We detected robust expression for 121 miRNAs out of 365 interrogated. We have identified significant cis- (10%) and trans- (11%) eQTLs. Furthermore, we detected one genomic locus (rs1522653) that influences the expression levels of five miRNAs, thus unraveling a novel mechanism for coregulation of miRNA expression
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Project description:Description of the global expression of microRNAs (miRNAs) and proteins in healthy human term placentas may increase our knowledge of molecular biological pathways that are important for normal fetal growth and development in term pregnancy. The aim of this study was to explore the global expression of miRNAs and proteins, and to point out functions of importance in healthy term placentas. Placental samples (n = 19) were identified in a local biobank. All samples were from uncomplicated term pregnancies with vaginal births and healthy, normal weight newborns. Next-generation sequencing and nano-scale liquid chromatographic tandem mass spectrometry were used to analyse miRNA and protein expression, respectively. A total of 895 mature miRNAs and 6,523 proteins were detected in the placentas, of which 123 miRNAs and 346 proteins were highly abundant. The miRNAs were in high degree mapped to chromosomes 19, 14 and X. Analysis of the highly abundant miRNAs and proteins showed several significantly predicted functions in common, including immune and inflammatory response, lipid metabolism and development of the nervous system. The predicted function inflammatory response may reflect normal vaginal delivery, while lipid metabolism and neurodevelopment may be important processes for the term fetus. The data presented in this study, including supplementary information with complete miRNA and protein findings, will enhance the knowledge base for future research in the field of placental function and pathology.
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Project description:Genetic studies have identified ≥240 loci associated with type 2 diabetes (T2D), yet most of these loci lie in non-coding regions, masking the underlying molecular mechanisms. Recent studies investigating gene expression in pancreatic islets have provided key insights into the molecular drivers of T2D pathophysiology through comprehensive genetic and genomic analyses. However, similar studies investigating microRNA (miRNA) expression remain limited. Here, we present the largest genetic and genomic analysis of miRNA expression in human islets to date, spanning 63 participants. We characterize the genetic regulation of miRNA expression by decomposing the expression of highly heritable miRNAs into cis- and trans- genetic components and mapping cis loci associated with miRNA expression (miRNA-eQTLs). We find (a) 81 heritable miRNAs, which we show are primarily regulated by trans-acting genetic effects, and (b) 5 miRNA-eQTLs. To evaluate the impact of miRNA expression on T2D, we use several different strategies to nominate T2D-associated miRNAs. First, we colocalize miRNA-eQTLs with genetic studies of T2D and several T2D-related traits and identify one miRNA, miR-1908, that shares genetic signals for blood glucose and HbA1c. Next, we intersect miRNA seed regions with credible set SNPs from T2D and T2D-related genetic studies and find 46 miRNAs that may have altered binding and function due to disrupted seed regions. Finally, we perform differential expression analysis and identify 38 miRNAs associated with either T2D status, body mass index, sex, or a polygenic score for HbA1c levels. To validate identified miRNAs, we perform chromatin run-on sequencing and confirm differential transcription of T2D-associated miRNAs.
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Project description:Genetic variants that impact gene regulation are important contributors to human phenotypic variation. For this reason, considerable efforts have been made to identify genetic associations with differences in mRNA levels of nearby genes, namely, cis expression quantitative trait loci (eQTLs). The phenotypic consequences of eQTLs are presumably due, in most cases, to their ultimate effects on protein expression levels. Yet, only few studies have quantified the impact of genetic variation on proteins levels directly. It remains unclear how faithfully eQTLs are reflected at the protein level, and whether there is a significant layer of cis regulatory variation acting primarily on translation or steady state protein levels. To address these questions, we measured ribosome occupancy by high-throughput sequencing, and relative protein levels by high-resolution quantitative mass spectrometry, in a panel of lymphoblastoid cell lines (LCLs) in which we had previously measured transcript expression using RNA sequencing. We then mapped genetic variants that are associated with changes in transcript expression (eQTLs), ribosome occupancy (rQTLs), or protein abundance (pQTLs). Most of the QTLs we detected are associated with transcript expression levels, with consequent effects on ribosome and protein levels. However, we found that eQTLs tend to have significantly reduced effect sizes on protein levels, suggesting that their potential impact on downstream phenotypes is often attenuated or buffered. Additionally, we confirmed the presence of a class of cis QTLs that specifically affect protein abundance with little or no effect on mRNA levels; most of these QTLs have little effect on ribosome occupancy, and hence may arise from differences in post-translational regulation.
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2020-08-05 | PXD006350 | Pride
Project description:<p>There are currently few datasets describing baseline expression levels for total cell-free circulating RNA from healthy control subjects. Total extracellular RNA was isolated from plasma, urine, and saliva samples from healthy controls. We sequenced small RNAs from 183 plasma samples, 204 urine samples and 46 saliva samples from 55 college athletes ages 18-25 years. Many of the participants provided more than one sample, weeks or months apart, allowing us to assess variability in an individual's exRNA expression levels over time. Several individuals provided all three biofluid types at one time, producing data on individual expression levels across several biofluid types. Here we provide a systematic analysis of small exRNAs present in each biofluid, as well as an analysis of exogenous RNAs. We find that a large number of RNA fragments in plasma (63%) and urine (54%) have sequences that are assigned to YRNA and tRNA fragments respectively. Surprisingly, while many miRNAs can be detected, there are few miRNAs that are consistently detected in all samples from a single biofluid.</p>
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Project description:DEAD-box RNA-binding proteins (RBPs) play a significant role in RNA metabolism to achieve cellular homeostasis, including miRNA biogenesis and transcription. Hypoxia induces stemness cell-like characteristics in cancer cells and promotes malignant progression. Despite the fact that hypoxia can induce the changes in protein and RNA modification, thereby regulating downstream gene expressions, how modifications at different molecular layers interplay with each other are poorly understood. Here we show that hypoxia induces HectH9-mediated K63-linked polyubiquitination of the DEAD-box protein DDX17 as well as reduces N6-methyladenosine (m6A) marks in pri-miRNAs. While m6A potentiates DDX17 binding to pri-miRNAs, decreased m6A modifications of pri-miRNAs and increased polyubiquitination of DDX17 under hypoxia lead to decreased DDX17 binding to pri-miRNAs binding. These events enhance the association of DDX17 with the ubiquitin receptor p300 and lead to a decrease in miRNA biogenesis, especially for miRNAs regulating stemness and stemness-related genes. In addition, polyubiquitinated DDX17 together with p300 upregulates H3K56Ac levels on the stemness and stemness-related genes, resulting in enhancement of tumor initiating ability. Post-transcriptionally, decreased miRNA production, including those targeting stemness genes or stemness-related genes, also facilitates tumor initiation. Together, hypoxia triggers DDX17 poly-ubiquitination, which orchestrates dual mechanisms to increase tumor initiating ability and promote tumor progression.
2018-03-09 | PXD006059 | JPOST Repository
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