Distinct Hippocampal Expression Profiles of Long Non-coding RNAs in an Alzheimer's Disease Model.
Bo YangZi-An XiaBingwu ZhongXingui XiongChenxia ShengYang WangWei GongYucheng CaoZhe WangWei-Jun PengPublished in: Molecular neurobiology (2016)
Alzheimer's disease (AD), the most prevalent form of dementia worldwide, is a complex neurodegenerative disease characterized by the progressive loss of memory and other cognitive functions. The pathogenesis of AD is not yet completely understood. Although long non-coding RNAs (lncRNAs) have recently been shown to play a role in AD pathogenesis, the specific influences of lncRNAs in AD remain largely unknown; in particular, hippocampal lncRNA expression profiles in AD rats are lacking. In this study, microarray analysis was performed to investigate the hippocampal expression patterns of dysregulated lncRNAs in a rat model of AD. A total of 315 lncRNAs and 311 mRNAs were found to be significantly dysregulated in the AD model (≥2.0 fold, p < 0.05). Then, quantitative real-time PCR was used to validate the expression of selected lncRNAs and mRNAs. Bioinformatics tools and databases were employed to explore the potential lncRNA functions. This is the first study to comprehensively identify dysregulated hippocampal lncRNAs in AD and to demonstrate the involvement of different lncRNA expression patterns in the hippocampal pathogenesis of AD. This information will enable further research on the pathogenesis of AD and facilitate the development of novel AD therapeutics targeting lncRNAs.
Keyphrases
- long non coding rna
- poor prognosis
- network analysis
- genome wide analysis
- multiple sclerosis
- genome wide identification
- cerebral ischemia
- healthcare
- small molecule
- drug delivery
- high resolution
- cancer therapy
- mild cognitive impairment
- climate change
- risk assessment
- cognitive impairment
- mass spectrometry
- deep learning
- subarachnoid hemorrhage
- big data