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Dataset Information

Analysis of Differentially Expressed Genes Associated With Alzheimer's Disease Based on Bioinformatics Methods.


ABSTRACT:

Objective

To screen differentially expressed genes (DEGs) of Alzheimer's disease (AD).

Methods

The 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.

Results

The 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

SUBMITTER: Feng B 

PROVIDER: S-EPMC10852745 | biostudies-literature | 2015 Dec

REPOSITORIES: biostudies-literature