Integrative analysis of competing endogenous RNA networks reveals the functional lncRNAs in Alzheimer’s diseased
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE133349 | GEO | 2019/06/27
REPOSITORIES: GEO
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Project description:Heart failure has become one of the top causes of death worldwide. It is increasing evidence that lncRNAs play important roles in the pathology processes of multiple cardiovascular diseases. Additionally, lncRNAs can function as ceRNAs by sponging miRNAs to affect the expression level of mRNAs, implicating in numerous biological processes. However, the functional roles and regulatory mechanisms of lncRNAs in heart failure are still unclear. In our study, we constructed a heart failure-related lncRNA-mRNA network by integrating probe re-annotation pipeline and miRNA-target interactions. Firstly, some lncRNAs that had the central topological features were found in the heart failure-related lncRNA-mRNA network. Then, the lncRNA-associated functional modules were identified from the network, using bidirectional hierarchical clustering. Some lncRNAs that involved in modules were demonstrated to be enriched in many heart failure-related pathways. To investigate the role of lncRNA-associated ceRNA crosstalks in certain disease or physiological status, we further identified the lncRNA-associated dysregulated ceRNA interactions. And we also performed a random walk algorithm to identify more heart failure-related lncRNAs. All these lncRNAs were verified to show a strong diagnosis power for heart failure. These results will help us to understand the mechanism of lncRNAs in heart failure and provide novel lncRNAs as candidate diagnostic biomarkers or potential therapeutic targets.
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Project description:Cross-talk between competitive endogenous RNAs (ceRNAs) may play a critical role in revealing potential mechanisms of tumor development and physiology. Glioblastoma is the most common type of malignant primary brain tumor, and the mechanisms of tumor genesis and development in glioblastoma are unclear. Here, to investigate the role of non-coding RNAs and the ceRNA network in glioblastoma, we performed paired-end RNA sequencing and microarray analyses to obtain the expression profiles of mRNAs, lncRNAs circRNAs and miRNAs. We identified that the expression of 501 lncRNAs, 1789 mRNAs, 2038 circRNAs and 143 miRNAs were often altered between glioblastoma and matched normal brain tissue. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were performed on these differentially expressed mRNAs and miRNA-mediated target genes of lncRNAs and circRNAs. Furthermore, we used a multi-step computational framework and several bioinformatics methods to construct a ceRNA network combining mRNAs, miRNAs, lncRNAs and circRNA, based on co-expression analysis between the differentially expressed RNAs. We identified that plenty of lncRNAs, CircRNAs and their downstream target genes in the ceRNA network are related to glutamatergic synapse, suggesting that glutamate metabolism is involved in glioma biological functions. Our results will accelerate the understanding of tumorigenesis, cancer progression and even therapeutic targeting in glioblastoma. We hope to inspire researchers to study the role of non-coding RNAs in glioblastoma.
2016-08-30 | GSE86202 | GEO
Project description:Purpose: Immunoglobulin A nephropathy (IgAN) is immune-mediated primary glomerulonephritis, which is the most common reason leading to renal failure worldwide, the exact pathogenesis of IgAN is not well defined. Accumulating evidence indicates that circular RNAs (circRNAs) play crucial roles in the immune disease by involving in the competing endogenous RNA (ceRNA) network mechanism. At present, the studies of the circRNA profiles and circRNA-associated ceRNA networks in the IgAN are still scarce. This study aimed to elucidate the potential roles of circRNA, microRNA (miRNA), and messenger RNA (mRNA) ceRNA network in peripheral blood mononuclear cells (PBMCs) of IgAN. Methods: CircRNA sequencing was used to identify the differential expressed circRNAs (DEcircRNAs) of PBMCs in IgAN and healthy controls. A circRNA-miRNA-mRNA ceRNA network was constructed to further investigate the mechanisms of IgAN. Results: A total of 145 circRNAs were differentially expressed in IgAN compared with controls (|log2 (FC)|>1 and P-value <0.05). Combined with the data from GSE73953 and GSE25590 in GEO database, a ceRNA network was constructed which contained 16 DEcircRNAs, 72 differential expressed mRNAs (DEmRNAs) and 11 differential expressed miRNAs (DEmiRNAs). Conclusion: Our study identified a novel circRNA-mediated ceRNA regulatory network mechanisms in the pathogenesis of IgAN.
2020-11-08 | GSE154046 | GEO
Project description:We constructed a competing endogenous RNA (ceRNA) network of ESCC based on the bovementioned pathways. Our findings provide important insight into the role of lncRNAs and circRNAs in ESCC; the differentially expressed lncRNAs and circRNAs may represent potential targets for ESCC diagnosis and therapy.
2023-09-02 | GSE157373 | GEO
Project description:SLE is a disease characterised by immune inflammation and damage to multiple organs. Recent investigations have linked competing endogenous RNAs (ceRNAs) to lupus. However, the exact mechanism through which the ceRNAs network affects SLE is still unclear. This study aims to investigate the regulatory functions of the ceRNAs network, which are important pathways that control the pathophysiological processes of SLE. We constructed a novel circRNA-miRNA-mRNA ceRNA network (HSA circ 0000345- HSA miR-22-3-P-ESR1/SIRT1) that may have a major impact on SLE.
2024-05-10 | GSE266651 | GEO
Project description:MicroRNAs (miRNAs) are small RNA molecules, about 22 nucleotide long, which post-transcriptionally regulate their target messenger RNAs (mRNAs). They accomplish key roles in gene regulatory networks, ranging from signaling pathways to tissue morphogenesis, and their aberrant behavior is often associated with the development of various diseases. Recently it has been experimentally shown that the way miRNAs interact with their targets can be described in terms of a titration mechanism. From a theoretical point of view titration mechanisms are characterized by threshold effect at near-equimolarity of the different chemical species, hypersensitivity of the system around the threshold, and cross-talk among targets. The latter characteristic has been lately identified as competing endogenous RNA (ceRNA) effect to mark those indirect interactions among targets of a common pool of miRNAs they are in competition for. Here we propose a stochastic model to analyze the equilibrium and out-of-equilibrium properties of a network of [Formula: see text] miRNAs interacting with [Formula: see text] mRNA targets. In particular we are able to describe in detail the peculiar equilibrium and non-equilibrium phenomena that the system displays in proximity to the threshold: (i) maximal cross-talk and correlation between targets, (ii) robustness of ceRNA effect with respect to the model's parameters and in particular to the catalyticity of the miRNA-mRNA interaction, and (iii) anomalous response-time to external perturbations.
| S-EPMC3694070 | biostudies-literature
Project description:BackgroundKawasaki disease (KD) is an acute and febrile systemic vasculitis of unknown etiology. This study aimed to identify the competing endogenous RNA (ceRNA) networks of lncRNAs, miRNAs, and genes in KD and explore the molecular mechanisms underlying KD.MethodsGSE68004 and GSE73464 datasets were downloaded from the Gene Expression Omnibus. Differentially expressed lncRNAs (DElncRNAs) and genes (DEGs) in KD were identified using the criteria of p < 0.05 and | log2 (fold change) | ≥ 1. MicroRNAs (miRNAs) related to KD were searched from databases. The lncRNA-miRNA-mRNA networks involving the DElncRNAs and DEGs were constructed.ResultsA total of 769 common upregulated, 406 common downregulated DEGs, and six DElncRNAs were identified in the KD samples. The lncRNA-miRNA-mRNA network consisted of four miRNAs, three lncRNAs (including the upregulated PSORS1C3, LINC00999, and the downregulated SNHG5) and four DEGs (including the downregulated GATA3 and the upregulated SOD2, MAPK14, and PPARG). Validation in the GSE18606 dataset showed that intravenous immunoglobulin treatment significantly alleviated the deregulated profiles of the above RNAs in KD patients. Three ceRNA networks of LINC00999-hsa-miR-6780-SOD2, PSORS1C3-hsa-miR-216a-PPARG/MAPK14, and SNHG5-hsa-miR-132/hsa-miR-92-GATA3 were identified. Four genes were associated with functional categories, such as inflammatory response and vascular endothelial cell.ConclusionsThe ceRNA networks involve genes, such as SOD2, MAPK14, and PPARG, and lncRNAs, including PSORS1C3, LINC00999, and SNHG5, which might play a key role in the pathogenesis and development of KD by regulating inflammation.
| S-EPMC8123229 | biostudies-literature
Project description:Hypertrophic cardiomyopathy (HCM) is the most common heritable cardiomyopath that caused by mutations in genes encoding proteins of the cardiac sarcomere. Although multiple efforts have been made to understand the pathogenesis of HCM, the mechanisms of how long noncoding RNA (lncRNA)-associated competing endogenous RNA (ceRNA) network result in HCM still unkown. Herein, we acquired the different expression profiles of lncRNAs (DElncRNAs) and messenger RNAs (mRNA, DEGs) by using microarray, microRNAs (DEmiRNAs) by sequencing in plasma of HCM patients and healthy controls. LncRNA-miRNA pairs were predicted using miRcode and starBase, and crossed with DEmiRNAs. MiRNA-mRNA pairs were retrieved from miRanda and TargetScan, and crossed with DEGs. Combined these pairs, the ceRNA network was constructed and hub nodes were then analyzed to reconstruct subnetwork. Gene Ontology and KEGG pathways were used to analyse the mRNAs in the ceRNA. Total 520 DElncRNAs, 33 DEmiRNAs, and 371 DEGs were identified. By coexpression analysis, 682 lncRNA-mRNA pairs were identified with a coefficient ≥ 0.9 and p < 0.05. The ceRNA network with 8 lncRNAs, 3 miRNAs and 22 mRNAs was constructed visualized by Cytoscape. LncRNA RP11-66N24.4 and LINC00310 are among the top 10% nodes and the associated ceRNA subnetwork may be the center of the whole ceRNA network. Furthermore, the qRT-PCR results showed that LINC00310 was signifcantly decreased in HCM patients. For LINC00310, GO analysis revealed that the biological processes was enriched in cardiovascular system development, sprouting angiogenesis, circulatory system development and so on, and Pathway analysis was mainly enriched in cGMP-PKG signaling pathway. Our study reveals the novel lncRNA-related ceRNA network in HCM and the identified lncRNA LINC00310 may be roles in the pathogenesis mechanisms of HCM, which could provide further insight into the pathogenesis of HCM.
2022-09-28 | GSE197218 | GEO
Project description:Hypertrophic cardiomyopathy (HCM) is the most common heritable cardiomyopath that caused by mutations in genes encoding proteins of the cardiac sarcomere. Although multiple efforts have been made to understand the pathogenesis of HCM, the mechanisms of how long noncoding RNA (lncRNA)-associated competing endogenous RNA (ceRNA) network result in HCM still unkown. Herein, we acquired the different expression profiles of lncRNAs (DElncRNAs) and messenger RNAs (mRNA, DEGs) by using microarray, microRNAs (DEmiRNAs) by sequencing in plasma of HCM patients and healthy controls. LncRNA-miRNA pairs were predicted using miRcode and starBase, and crossed with DEmiRNAs. MiRNA-mRNA pairs were retrieved from miRanda and TargetScan, and crossed with DEGs. Combined these pairs, the ceRNA network was constructed and hub nodes were then analyzed to reconstruct subnetwork. Gene Ontology and KEGG pathways were used to analyse the mRNAs in the ceRNA. Total 520 DElncRNAs, 33 DEmiRNAs, and 371 DEGs were identified. By coexpression analysis, 682 lncRNA-mRNA pairs were identified with a coefficient ≥ 0.9 and p < 0.05. The ceRNA network with 8 lncRNAs, 3 miRNAs and 22 mRNAs was constructed visualized by Cytoscape. LncRNA RP11-66N24.4 and LINC00310 are among the top 10% nodes and the associated ceRNA subnetwork may be the center of the whole ceRNA network. Furthermore, the qRT-PCR results showed that LINC00310 was signifcantly decreased in HCM patients. For LINC00310, GO analysis revealed that the biological processes was enriched in cardiovascular system development, sprouting angiogenesis, circulatory system development and so on, and Pathway analysis was mainly enriched in cGMP-PKG signaling pathway. Our study reveals the novel lncRNA-related ceRNA network in HCM and the identified lncRNA LINC00310 may be roles in the pathogenesis mechanisms of HCM, which could provide further insight into the pathogenesis of HCM.
2022-09-28 | GSE197191 | GEO
Project description:Pancreatic cancer (PC) is a highly malignant disease characterized by insidious onset, rapid progress, and poor therapeutic effects. The molecular mechanisms associated with PC initiation and progression are largely insufficient, hampering the exploitation of novel diagnostic biomarkers and development of efficient therapeutic strategies. Emerging evidence recently reveals that noncoding RNAs (ncRNAs), including long ncRNAs (lncRNAs) and microRNAs (miRNAs), extensively participate in PC pathogenesis. Specifically, lncRNAs can function as competing endogenous RNAs (ceRNAs), competitively sequestering miRNAs, therefore modulating the expression levels of their downstream target genes. Such complex lncRNA/miRNA/mRNA networks, namely, ceRNA networks, play crucial roles in the biological processes of PC by regulating cell growth and survival, epithelial-mesenchymal transition and metastasis, cancer stem cell maintenance, metabolism, autophagy, chemoresistance, and angiogenesis. In this review, the emerging knowledge on the lncRNA-associated ceRNA networks involved in PC initiation and progression will be summarized, and the potentials of the competitive crosstalk as diagnostic, prognostic, and therapeutic targets will be comprehensively discussed.
| S-EPMC8573238 | biostudies-literature