ArticleAmerican journal of translational research2017
Bioinformatics and co-expression network analysis of differentially expressed lncRNAs and mRNAs in hippocampus of APP/PS1 transgenic mice with Alzheimer disease.
Article in American journal of translational research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
13 citing papers in PubMed, 18 citations in OpenAlex.
- Article
- miR-153-3p suppresses the differentiation and proliferation of neural stem cells via targeting GPR55.Aging · 2023Article
- Nucleic acid liquid biopsies in Alzheimer's disease: current state, challenges, and opportunities.Heliyon · 2022Review
- RNA Dynamics in Alzheimer's Disease.Molecules (Basel, Switzerland) · 2021Review
- Insights into lncRNAs in Alzheimer's disease mechanisms.RNA biology · 2021Review
- The Perspective of Dysregulated LncRNAs in Alzheimer's Disease: A Systematic Scoping Review.Frontiers in aging neuroscience · 2021Article
- Aberrant Expression Profiles of lncRNAs and Their Associated Nearby Coding Genes in the Hippocampus of the SAMP8 Mouse Model with AD.Molecular therapy. Nucleic acids · 2020Article
- Potential Therapeutic Approaches to Alzheimer's Disease By Bioinformatics, Cheminformatics And Predicted Adme-Tox Tools.Current neuropharmacology · 2020Review
- The Potential Markers of Circulating microRNAs and long non-coding RNAs in Alzheimer's Disease.Aging and disease · 2019Review
- The effect of BACE1-AS on β-amyloid generation by regulating BACE1 mRNA expression.BMC molecular biology · 2019Article
- Knockdown of BACE1-AS by siRNA improves memory and learning behaviors in Alzheimer's disease animal model.Experimental and therapeutic medicine · 2018Article
- Expression of BC1 Impairs Spatial Learning and Memory in Alzheimer's Disease Via APP Translation.Molecular neurobiology · 2018Article
- Identification of aberrantly expressed long non-coding RNAs in postmenopausal osteoporosis.International journal of molecular medicine · 2018Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
APP/PS1 transgenic mice with Alzheimer disease (AD) are widely used as a reliable animal model in studies about behaviors, physiology, biochemistry and histomorphology of AD, but few studies have been conducted to investigate the role of lncRNAs in this model. In this study, lncRNA microarray was employed to detect the gene expression profile and lncRNA expression profile in the mouse brain. Then, bioinformatics was used to predict the differentially expressed genes related to AD (n=20). Among different lncRNAs (n=249), 99 were downregulated and 150 upregulated. Co-expression network was applied to analyze the co-expression of differential lncRNAs and different genes. In network, lncRNA Gm13498 and lncRNA 1700030L20Rik correlated with the most genes and their degrees were 6 and 5, respectively. Then, the function and signal transduction pathways related to the differentially co-expressed lncRNAs were analyzed with bioinformatics, and results showed that these lncRNAs were involved in the systemic development of neurons, intercellular communication, regulation of action potential of neurons, development and differentiation of oligodendrocytes, neurotransmitters transmission, and neuronal regeneration. Realtime PCR was employed to detect the expression of relevant lncRNAs and differentially expressed RNAs in 10 samples, and results were consistent with above findings from microarray.
Indexed as
Identifiers
28386363PMC5376028W3021208053What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.