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Prediction of miRNA-mRNA associations in Alzheimer's disease mice using network topology
Haneul Noh, Charny Park, Soojun Park
1Department of Molecular & Life Sciences, Hanyang University, 1271 Sa-dong, Sangrok-gu, Ansan, Gyeonggi-do, South Korea. singylu@hanmail.net.
Background:
Little is known about the relationship between miRNA and mRNA expression in Alzheimer's disease (AD) at early- or late-symptomatic stages. Sequence-based target prediction algorithms and anti-correlation profiles have been applied to predict miRNA targets using omics data, but this approach often leads to false positive predictions. Here, we applied the joint profiling analysis of mRNA and miRNA expression levels to Tg6799 AD model mice at 4 and 8 months of age using a network topology-based method. We constructed gene regulatory networks and used the PageRank algorithm to predict significant interactions between miRNA and mRNA.
Results:
In total, 8 cluster modules were predicted by the transcriptome data for co-expression networks of AD pathology. In total, 54 miRNAs were identified as being differentially expressed in AD. Among these, 50 significant miRNA-mRNA interactions were predicted by integrating sequence target prediction, expression analysis, and the PageRank algorithm. We identified a set of miRNA-mRNA interactions that were changed in the hippocampus of Tg6799 AD model mice. We determined the expression levels of several candidate genes and miRNA. For functional validation in primary cultured neurons from Tg6799 mice (MT) and littermate (LM) controls, the overexpression of ARRDC3 enhanced PPP1R3C expression. ARRDC3 overexpression showed the tendency to decrease the expression of miR139-5p and miR3470a in both LM and MT primary cells. Pathological environment created by Aβ treatment increased the gene expression of PPP1R3C and Sfpq but did not significantly alter the expression of miR139-5p or miR3470a. Aβ treatment increased the promoter activity of ARRDC3 gene in LM primary cells but not in MT primary cells.
Conclusions:
Our results demonstrate AD-specific changes in the miRNA regulatory system as well as the relationship between the expression levels of miRNAs and their targets in the hippocampus of Tg6799 mice. These data help further our understanding of the function and mechanism of various miRNAs and their target genes in the molecular pathology of AD.
Insights
This study reveals Alzheimer's disease (AD)-specific changes in microRNA (miRNA) and messenger RNA (mRNA) interactions within the mouse hippocampus. These findings enhance understanding of miRNA roles in AD molecular pathology.
Area of Science:
- Neuroscience
- Genetics
- Molecular Biology
Background:
- Limited understanding of microRNA (miRNA) and messenger RNA (mRNA) expression dynamics in Alzheimer's disease (AD).
- Traditional miRNA target prediction methods often yield false positives.
Purpose of the Study:
- To investigate miRNA-mRNA interactions in an AD mouse model using a network topology-based approach.
- To identify specific miRNA-mRNA regulatory changes in the hippocampus during AD progression.
Main Methods:
- Joint profiling analysis of mRNA and miRNA expression in Tg6799 AD model mice.
- Construction of gene regulatory networks and application of the PageRank algorithm.
- Integration of sequence target prediction, expression analysis, and network topology for interaction prediction.
Main Results:
- Identified 8 co-expression modules and 54 differentially expressed miRNAs in AD.
- Predicted 50 significant miRNA-mRNA interactions, including changes in the hippocampus.
- Functional validation showed ARRDC3 overexpression impacts PPP1R3C, miR139-5p, and miR3470a expression.
Conclusions:
- Demonstrated AD-specific alterations in the miRNA regulatory system in the mouse hippocampus.
- Provided insights into the functional mechanisms of miRNAs and their targets in AD pathogenesis.
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