The relationship between the aberrant long non-coding RNA-mediated competitive endogenous RNA network and Alzheimer's disease pathogenesis
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ABSTRACT:
PROVIDER: PRJNA851378 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR19763140_1.fastq.gz | Fastqsanger.gz | |||
| SRR19763140_2.fastq.gz | Fastqsanger.gz | |||
| SRR19763141_1.fastq.gz | Fastqsanger.gz | |||
| SRR19763141_2.fastq.gz | Fastqsanger.gz | |||
| SRR19763142_1.fastq.gz | Fastqsanger.gz |
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Project description:Alzheimer's disease (AD) is a common neurodegenerative disorder characterized by cognitive dysfunction. The role of long non-coding RNAs (lncRNAs) with the action of competitive endogenous RNA (ceRNA) in AD remains unclear. The present study aimed to identify significantly differentially expressed lncRNAs (SDELs) and establish lncRNA-associated ceRNA networks via RNA sequencing analysis and a quantitative real-time Polymerase Chain Reaction (qPCR) assay using transgenic mice with five familial AD mutations. A total of 53 SDELs in the cortex and 51 SDELs in the hippocampus were identified, including seven core SDELs common to both regions. The functions and pathways were then investigated through the potential target genes of SDELs via Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analyses, which indicate biological effects, action distributions, and pathological transductions associated with AD. Based on the ceRNA hypothesis, integrated ceRNA networks in the cortex and hippocampus of lncRNA-miRNA-mRNA were constructed. The core SDEL-mediated ceRNA relationship was established and the expression of these RNAs was verified by qPCR. The results identified lncRNA ENSMUST00000127786 and highlighted miRNAs and mRNAs as potential key mediators in AD. These findings provide AD-derived lncRNA-mediated ceRNA profiles, and further experimental evidence is needed to confirm these identified ceRNA regulatory relationships.
| S-EPMC9369371 | biostudies-literature
Project description:In this research, we investigated the abnormal expression of lncRNA and established lncRNA-associated ceRNA regulatory networks composed of potential therapeutic targets in AD based on RNA sequencing (RNA-seq) analysis and experimental verification. RNA-seq was performed in the cerebral cortex and hippocampus of 5×FAD mice of AD to systematically investigate altered lncRNA-associated ceRNA regulatory network, along with qualitative analyses for key differentially expressed lncRNAs, miRNAs, and mRNAs involved. The results showed that 7 lncRNAs were significantly altered in the cortex and hippocampus of 5×FAD mice compared with WT mice. The potential functions of differentially expressed genes were highly correlated with learning and memory activities and the pathogenesis of AD. Furthermore, lncRNA Xist and highly correlated miRNAs and mRNAs were identified as key mediators of pathophysiological processes in AD. Our findings illustrated the AD-derived lncRNA-mediated ceRNA network, accompanied by aberrant expression involved in the pathological gene networks, which may contribute to understanding the pathological mechanism of AD and provide potential therapeutic targets for drug development.
2022-12-07 | GSE206562 | GEO
Project description:BackgroundThe present study aimed to construct a network of competitive endogenous RNAs (ceRNAs) related to the pathogenesis of coronary artery disease (CAD), to provide a novel rationale for CAD treatment.MethodsBioinformatics methods were applied to screen for differentially expressed long non-coding RNAs (DElncRNAs), microRNAs (DEmiRNAs), and mRNAs (DEmRNAs) from the GSE68506, GSE59421, and GSE20129 datasets of the Gene Expression Omnibus (GEO) database. The miRcode database was used to predict lncRNA-binding miRNAs. The miRTarBase, miRDB, and TargetScan databases were used to predict the target genes of these miRNAs. An mRNA-miRNA-lncRNA ceRNA network of CAD was established.ResultsBetween the CAD and normal control groups there were 264 DElncRNAs, 106 DEmiRNAs, and 1,879 DEmRNAs. We screened these differentially expressed gens (DEGs) respectively. There were 21 DElncRNAs, 13 DEmiRNAs, and 143 DEmRNAs in the ceRNA network by using Cytoscape application. The DEmRNAs were involved in the PI3K-Akt signaling pathway and the NF-κB signaling pathway. The key genes in the protein-protein interaction (PPI) network were HSP90AA1, CDKN1A, MCL1, MDM2, MAPK1, ABL1, LYN, CRK, CDK9, and FAS.ConclusionsThe ceRNA network constructed in this study identified new candidate molecules for the treatment of CAD, providing some more comprehensive and higher-quality choices for the target treatment of CAD.
| S-EPMC8421985 | biostudies-literature
Project description:A growing body of studies has demonstrated that long non-coding RNA (lncRNA) are regarded as the primary section of the ceRNA network. This is thought to be the case owing to its regulation of protein-coding gene expression by functioning as miRNA sponges. However, functional roles and regulatory mechanisms of lncRNA-mediated ceRNA in cervical squamous cell carcinoma (CESC), as well as their use for potential prediction of CESC prognosis, remains unknown. The aberrant expression profiles of mRNA, lncRNA, and miRNA of 306 cervical squamous cancer tissues and three adjacent cervical tissues were obtained from the TCGA database. A lncRNA-mRNA-miRNA ceRNA network in CESC was constructed. Meanwhile, Gene Ontology (GO) and KEGG pathway analysis were performed using Cytoscape plug-in BinGo and DAVID database. We identified a total of 493 lncRNA, 70 miRNA, and 1921 mRNA as differentially expressed profiles. An aberrant lncRNA-mRNA-miRNA ceRNA network was constructed in CESC, it was composed of 50 DElncRNA, 18 DEmiRNA, and 81 DEmRNA. According to the overall survival analysis, 3 out of 50 lncRNA, 10 out of 81 mRNA, and 1 out of 18 miRNA functioned as prognostic biomarkers for patients with CESC (P value < 0.05). We extracted the sub-network in the ceRNA network and found that two novel lncRNA were recognized as key genes. These included lncRNA MEG3 and lncRNA ADAMTS9-AS2. The present study provides a new insight into a better understanding of the lncRNA-related ceRNA network in CESC, and the novel recognized ceRNA network will help us to improve our understanding of lncRNA-mediated ceRNA regulatory mechanisms in the pathogenesis of CESC.
| S-EPMC6055788 | biostudies-literature
Project description:Ion channel splice array data from cerebellum brain tissue samples collected from Alzheimer's disease patients. Temporal cortex (Alzheimer's disease affected brain tissue structure) and cerebellum (Alzheimer's disease unaffected brain tissue structure) samples from control subjects were compared to temporal cortex and cerebellum of patients with Alzheimer's disease.
2010-06-11 | E-GEOD-6777 | biostudies-arrayexpress
Project description:Ion channel splice array data from temporal cortex brain tissue samples collected from Alzheimer's disease patients. Temporal cortex (Alzheimer's disease affected brain tissue structure) and cerebellum (Alzheimer's disease unaffected brain tissue structure) samples from control subjects were compared to temporal cortex and cerebellum of patients with Alzheimer's disease.
2010-06-11 | E-GEOD-6775 | biostudies-arrayexpress
Project description:Competitive Endogenous RNA Landscape in Epstein-Barr Virus Associated Nasopharyngeal Carcinoma
| PRJNA753839 | ENA
Project description:LncRNA-miRNA-mRNA competing endogenous RNA (ceRNA) networks are thought to be involved in regulating the development of various inflammatory diseases. Up to now, the mechanism of such a network in allergic rhinitis (AR) remains unclear. In the study, we investigated the differential expression of lncRNAs (DElncRNAs) and mRNAs (DEmRNAs) by performing a microarray analysis of peripheral blood obtained from AR patients and healthy control subjects. StarBase 2.0 was used to predict miRNAs that might interact with various DElncRNAs and DEmRNAs. We constructed a ceRNA network based on potential lncRNA-miRNA-mRNA interactions. The Cluster Profiler R package was used to perform a functional enrichment analysis of the hub-ceRNA, and Molecular Complex Detection (MCODE) was used for further identification of the hub-ceRNA network. The expression levels of genes contained in the hub-ceRNA network were validated by RT-PCR. In total, 247 DEmRNAs and 18 DelncRNAs were aberrantly expressed in the PBMCs of AR patients. A ceRNA network consisting of 3 lncRNAs, 45 miRNAs, and 75 mRNAs was constructed. A GO analysis showed that negative regulation of immune response, response to interferon-beta, and response to interferon-alpha were important terms. A KEGG pathway analysis showed that 75 mRNAs were significantly enriched in "NOD-like receptor signaling pathway" and "tryptophan metabolism". Ultimately, a hub-ceRNA network was constructed based on 1 lncRNA (AC011511.5), 5 miRNAs (hsa-miR-576-5p, hsa-miR-520c-5p, hsa-miR-519b-5p, hsa-miR-519c-5p, and hsa-miR-518d-5p), and 2 mRNAs (ZFP36L1 and SNX27). Following further verification, we found that overexpression of lncRNA AC011511.5 or inhibitor of miR-576-5p upregulated SNX27 expression. The expression of SNX27 in the lncRNA AC011511.5 overexpression & miR-576-5p inhibitor group was not different from that in the miR-576-5p inhibitor group or lncRNA AC011511.5 overexpression group, indicating that overexpression of lncRNA AC011511.5 could not further upregulate the expression of SNX27 in miR-576-5p inhibitor Jurkat cells. This network may provide new insights to search for biomarkers that can be used for the diagnosis and clinical treatment of AR.
| S-EPMC9194448 | biostudies-literature
Project description:Ion channel splice array data from cerebellum brain tissue samples collected from control (non Alzheimer's disease) subjects. Temporal cortex (Alzheimer's disease affected brain tissue structure) and cerebellum (Alzheimer's disease unaffected brain tissue structure) samples from control subjects were compared to temporal cortex and cerebellum of patients with Alzheimer's disease.
2010-06-11 | E-GEOD-6778 | biostudies-arrayexpress