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Identifying circRNA-associated-ceRNA networks in the hippocampus of Aß1-42-induced Alzheimer's disease-like rats using microarray analysis (circRNA)

ABSTRACT: Identifying circRNA-associated-ceRNA networks in the hippocampus of Aß1-42-induced Alzheimer's disease-like rats using microarray analysis (circRNA)

PROVIDER: PRJNA529882 | ENA |

REPOSITORIES: ENA

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Identifying circRNA-associated-ceRNA networks in the hippocampus of Aß1-42-induced Alzheimer's disease-like rats using microarray analysis

Project description:Identifying circRNA-associated-ceRNA networks in the hippocampus of Aß1-42-induced Alzheimer's disease-like rats using microarray analysis

| PRJNA529875 | ENA

Identifying circRNA-associated-ceRNA networks in the hippocampus of Aß1-42-induced Alzheimer's disease-like rats using microarray analysis (mRNA)

Project description:Identifying circRNA-associated-ceRNA networks in the hippocampus of Aß1-42-induced Alzheimer's disease-like rats using microarray analysis (mRNA)

| PRJNA529879 | ENA

Identifying circRNA-associated-ceRNA networks in the hippocampus of Aß1-42-induced Alzheimer's disease-like rats using microarray analysis (miRNA)

Project description:Identifying circRNA-associated-ceRNA networks in the hippocampus of Aß1-42-induced Alzheimer's disease-like rats using microarray analysis (miRNA)

| PRJNA529878 | ENA

Identifying circRNA-associated-ceRNA networks in the hippocampus of Aß1-42-induced Alzheimer's disease-like rats using microarray analysis (circRNA)

Project description:In the present study, we used microarray analysis technology to characterize the expression patterns of circular RNAs (circRNAs), microRNAs (miRNAs), and mRNAs in hippocampal tissue from Aβ1‐42‐induced AD model rats, to integrate interaction data and thus provide novel insights into the mechanisms underlying AD.

2019-03-30 | GSE129054 | GEO

Identifying circRNA-associated-ceRNA networks in the hippocampus of Aß1-42-induced Alzheimer's disease-like rats using microarray analysis

Project description:This SuperSeries is composed of the SubSeries listed below.

2019-03-30 | GSE129055 | GEO

Identifying circRNA-associated-ceRNA networks in the hippocampus of Aß1-42-induced Alzheimer's disease-like rats using microarray analysis (miRNA)

2019-03-30 | GSE129053 | GEO

Identifying circRNA-associated-ceRNA networks in the hippocampus of Aß1-42-induced Alzheimer's disease-like rats using microarray analysis (mRNA)

2019-03-30 | GSE129051 | GEO

Identifying circRNA-associated-ceRNA networks in the hippocampus of Aβ1-42-induced Alzheimer's disease-like rats using microarray analysis.

Project description:Alzheimer's disease (AD) is the most common form of dementia worldwide. Accumulating evidence indicates that non-coding RNAs are strongly implicated in AD-associated pathophysiology. However, the role of these ncRNAs remains largely unknown. In the present study, we used microarray analysis technology to characterize the expression patterns of circular RNAs (circRNAs), microRNAs (miRNAs), and mRNAs in hippocampal tissue from Aβ1-42-induced AD model rats, to integrate interaction data and thus provide novel insights into the mechanisms underlying AD. A total of 555 circRNAs, 183 miRNAs and 319 mRNAs were identified to be significantly dysregulated (fold-change ≥ 2.0 and p-value < 0.05) in the hippocampus of AD rats. Quantitative real-time polymerase chain reaction (qRT-PCR) was then used to validate the expression of randomly-selected circRNAs, miRNAs and mRNAs. Next, GO and KEGG pathway analyses were performed to further investigate ncRNAs biological functions and potential mechanisms. In addition, we constructed circRNA-miRNA and competitive endogenous RNA (ceRNA) regulatory networks to determine functional interactions between ncRNAs and mRNAs. Our results suggest the involvement of different ncRNA expression patterns in the pathogenesis of AD. Our findings provide a novel perspective for further research into AD pathogenesis and might facilitate the development of novel therapeutics targeting ncRNAs.

| S-EPMC5940119 | biostudies-literature

Comprehensive circRNA expression profile and construction of circRNAs-related ceRNA network in a mouse model of autism

Project description:Purpose: We aimed to detected the circRNA expression profile and constructed a circRNA-based competing endogenous RNA (ceRNA) network in autism. Methods:Valproate acid was used to establish an in vivo model of autism in mice. circRNAs in autism group was identified by RNA sequencing. The expression of circRNAs were detected by real-time PCR. Module analysis was conducted followed by GO and KEGG pathway enrichment analysis. Results: A total of 1059 differentially expressed circRNAs (477 upregulated and 582 downregulated) in autism group. The expression of novel_circ_015779 and novel_circ_035247 were detected by real-time PCR. A ceRNA network based on altered circRNAs was established, with 9715 nodes and 150408 edges. The top three modules were all correlated with autism-related pathways involving ‘TGF-beta signaling pathway’, ‘Notch signaling pathway’, ‘MAPK signaling pathway’, ‘long term depression’, ‘thyroid hormone signaling pathway’, etc. Conclusions: The present study reveals a novel circRNA involved mechanisms in the pathogenesis of autism.

2020-12-29 | GSE163904 | GEO

Comprehensive analysis of circRNA expression profiles and circRNA associated competing endogenous RNA networks in IgA nephropathy

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

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