Microarray profiling of monocytic differentiaion reveals miRNA-mRNA intrinsic correlation
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ABSTRACT:
ORGANISM(S): Mus musculus Rattus norvegicus Homo sapiens
PROVIDER: GSE26379 | GEO | 2012/02/02
SECONDARY ACCESSION(S): PRJNA136607
REPOSITORIES: GEO
Similar Datasets
Project description:This SuperSeries is composed of the following subset Series: GSE26376: Microarray profiling of monocytic differentiaion reveals miRNA-mRNA intrinsic correlation (miRNA) GSE26377: Microarray profiling of monocytic differentiaion reveals miRNA-mRNA intrinsic correlation (gene expression) Refer to individual Series
2012-02-02 | E-GEOD-26379 | biostudies-arrayexpress
Project description:Since the expression profile of miRNAs is specific in different tissues or under different physiological conditions, the correlations between miRNAs and mRNAs could vary under different biological circumstances. This is a study also used expression profiles of miRNA and mRNA during monocytic differentiation to explore the correlations between the expression levels of miRNAs and mRNA, either negative or positive.
2012-02-02 | GSE26376 | GEO
Project description:Since the expression profile of miRNAs is specific in different tissues or under different physiological conditions, the correlations between miRNAs and mRNAs could vary under different biological circumstances. This is a study also used expression profiles of miRNA and mRNA during monocytic differentiation to explore the correlations between the expression levels of miRNAs and mRNA, either negative or positive. After treatment of TPA, U937 cells present functional differentiation markers as well as specific cell morphology, which were confirmed by flow cytometric analysis and Wright-Giemsa staining.Here we use a miRNA microarray (CapitalBio, Beijing, China) containing 509 well-characterized human, mouse and rat miRNAs and various controls to profile the expression levels of miRNA in normal U937 cells and differentiated U937 cells. Three independent biological experiments were performed, and for each differentiated and control sample, two hybridizations were performed by using a reversal fluorescent strategy.
2012-02-02 | E-GEOD-26376 | biostudies-arrayexpress
Project description:Since the expression profile of miRNAs is specific in different tissues or under different physiological conditions, the correlations between miRNAs and mRNAs could vary under different biological circumstances. This is a study also used expression profiles of miRNA and mRNA during monocytic differentiation to explore the correlations between the expression levels of miRNAs and mRNA, either negative or positive.
2012-02-02 | GSE26377 | GEO
Project description:Since the expression profile of miRNAs is specific in different tissues or under different physiological conditions, the correlations between miRNAs and mRNAs could vary under different biological circumstances. This is a study also used expression profiles of miRNA and mRNA during monocytic differentiation to explore the correlations between the expression levels of miRNAs and mRNA, either negative or positive. After treatment of TPA, U937 cells present functional differentiation markers as well as specific cell morphology, which were confirmed by flow cytometric analysis and Wright-Giemsa staining.Here we use genome-wide microarray analysis to profile the expression levels of mRNA in normal U937 cells and differentiated U937 cells. For each differentiated and control sample, two hybridizations were performed by using a reversal fluorescent strategy.
2012-02-02 | E-GEOD-26377 | biostudies-arrayexpress
Project description:Medulloblastoma (MB) is a clinically challenging, childhood brain tumor with a diverse genetic makeup and differential miRNA profile. Aiming to identify deregulated miRNAs in MB, the miRNA expression profile of human MB samples was compared to that of normal cerebellar tissues. As a result, 8 upregulated and 64 downregulated miRNAs were identified in MB samples. Although various algorithms have been developed to predict the interaction between miRNA-mRNA pairs, the complexity and fidelity of miRNA-mRNA remain a concern. Therefore, to identify the signatures of miRNA-mRNA interactions essential for MB pathogenesis, miRNA profiling, RNA sequencing, and ingenuity pathway analysis (IPA) were performed in the same primary human MB samples. Further, when miR-217 was inhibited, a significant upregulation of predicted target genes SIRT1, ROBO1, FOXO3, and SMAD7 in HDMB03 cells was observed, confirming the validity of our approach. Functional analysis revealed that the inhibition of miR-217 in HDMB03 cells suppresses colony formation, migration, invasion, promoted apoptosis, and arrested cell population in S phase, indicating that manipulation of miR-217 may have a therapeutic potential for MB patients. Therefore, our study provides an essential platform for future investigations of specific miRNAs responsible for MB pathogenesis.
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Project description:miRNAs are small RNAs that regulate gene expression post-transcriptionally. By repressing the translation and promoting the degradation of target mRNAs, miRNAs may reduce the cell-to-cell variability in protein expression, induce correlations between target expression levels, and provide a layer through which targets can influence each other's expression as "competing RNAs" (ceRNAs). However, experimental evidence for these behaviors is limited. Combining mathematical modeling with RNA sequencing of individual human embryonic kidney cells in which the expression of two distinct miRNAs was induced over a wide range, we have inferred parameters describing the response of hundreds of miRNA targets to miRNA induction. Individual targets have widely different response dynamics, and only a small proportion of predicted targets exhibit high sensitivity to miRNA induction. Our data reveal for the first time the response parameters of the entire network of endogenous miRNA targets to miRNA induction, demonstrating that miRNAs correlate target expression and at the same time increase the variability in expression of individual targets across cells. The approach is generalizable to other miRNAs and post-transcriptional regulators to improve the understanding of gene expression dynamics in individual cell types.
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Project description:The Rag2 knockout (KO) mouse is one of the most popular immune compromised animal models used in biomedical research. The immune compromised state concurrently alters many signalling pathways and molecules, including miRNAs and mRNA transcripts that are involved in important biological processes. In addition, miRNAs and transcripts are interdependent, often forming a feedback loop; dysregulation in one might alter the expression of the other, and both participate in many physiological processes including immune regulation. Here, we describe a comprehensive dataset containing alterations in the expression of both miRNAs and mRNAs in Rag2 KO mice compared to their wild type counterparts. The miRNA and mRNA expression profiles were generated from total RNA using a miRNA expression microarray or a BeadChip microarray, respectively. Hence, this dataset will provide the groundwork for a comparative study of the miRNAs and mRNAs that are dysregulated in Rag2 KO mice. It is hoped that the data will illuminate how miRNAs mediate immune regulation, as well as the interaction between miRNAs and mRNAs in Rag2 KO mice.
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Project description:Although microRNAs are being extensively studied for their involvement in cancer and development, little is known about their roles in Alzheimer's disease (AD). In this study, we used microarrays for the first joint profiling and analysis of miRNAs and mRNAs expression in brain cortex from AD and age-matched control subjects. These data provided the unique opportunity to study the relationship between miRNA and mRNA expression in normal and AD brains. Using a non-parametric analysis, we showed that the levels of many miRNAs can be either positively or negatively correlated with those of their target mRNAs. Comparative analysis with independent cancer datasets showed that such miRNA-mRNA expression correlations are not static, but rather context-dependent. Subsequently, we identified a large set of miRNA-mRNA associations that are changed in AD versus control, highlighting AD-specific changes in the miRNA regulatory system. Our results demonstrate a robust relationship between the levels of miRNAs and those of their targets in the brain. This has implications in the study of the molecular pathology of AD, as well as miRNA biology in general.
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Project description:This SuperSeries is composed of the SubSeries listed below.
2010-07-01 | GSE21058 | GEO