ArticleAmerican journal of Alzheimer's disease and other dementias2015
Analysis of Differentially Expressed Genes Associated With Alzheimer's Disease Based on Bioinformatics Methods.
Article in American journal of Alzheimer's disease and other dementias, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- An empirical Bayes framework for burden and dispersion association tests helps prioritize rare variants associated with Alzheimer's disease.medRxiv : the preprint server for health sciences · 2026Article
- Review
- Gelsolin Facilitates Estrogen Receptor Beta Nuclear Translocation and Transcriptional Repression of Genes Associated with Alzheimer Disease.Receptors (Basel, Switzerland) · 2025Article
- Aging to 24 months increased C57BL/6J mouse social sniffing and hippocampal Neto1 levels, and impaired female spatial learning.Behavioural processes · 2023Article
- Gene Self-Expressive Networks as a Generalization-Aware Tool to Model Gene Regulatory Networks.Biomolecules · 2023Article
- The Inflammatory GeneBiomedicines · 2023Article
- Article
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Authors and funding
6 authors.
Funding
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Abstract
objectiveTo screen differentially expressed genes (DEGs) of Alzheimer's disease (AD).
methodsThe gene expression profile (GSE26972) of AD was downloaded from Gene Expression Omnibus database. The DEGs were mapped to protein-protein interaction (PPI) data for acquiring the potential PPI relationship. The coexpressed significance of a gene pair in AD was determined. Then significantly enriched Gene Ontology (GO) terms and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways of DEGs were analyzed based on database for annotation visualization and integrated discovery tool.
resultsThe PPI network showed 7 upregulated genes and 4 downregulated genes that might play meaningful functional roles in AD. Meanwhile, 3 significantly enriched KEGG pathways as well as several significant GO terms (included α-actinin binding, interleukin 33 receptor activity, and telethonin binding) were identified.
conclusionsThe screened DEGs have the potential to become candidate target molecules to monitor, diagnose, and treat AD.
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