Differentially Expressed Genes Related to Alzheimer ’s Disease and Their Bioinformatics Analysis
- VernacularTitle:阿尔茨海默病相关差异表达基因及其生物信息学分析
- Author:
Qian XU
1
;
Yuanqi SU
1
;
Yi TAN
2
;
Yuanjuan YANG
1
Author Information
1. School of Pharmacy，Chongqing Medical and Pharmaceutical College & Chongqing Engineering Research Center of Pharmaceutical Sciences，Chongqing 401331，China
2. Laboratory Animal Center，Chongqing Medical University，Chongqing 400016，China
- Publication Type:Journal Article
- Keywords:
Alzheimer’s disease;
Differentially expressed genes;
Bioinformatics;
Gene ontology;
KEGG pathway enrichment;
Protein-protein interaction
- From:
China Pharmacy
2019;30(24):3423-3427
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVE： To provide reference for interpretation of pathogenesis， early prevention and diagnosis， and selection of therapeutic targets of Alzheimer’s disease （AD）. METHODS： The gene chip dataset GSE28146 was downloaded from the NCBI public data platform GEO， and the AD-related differentially expressed genes （DEGs） were identified by using GEO2R online analysis tool. GO analysis and KEGG enrichment pathway analysis were performed by using DAVID 6.8 bioinformatics resource database. The protein-protein interaction （PPI） network analysis was performed by using STRING database and Cytoscape 3.2.1 software. RESULTS & CONCLUSIONS： A total of 1 478 AD-related DEGs were identified， consisting of 913 up-regulated genes and 565 down-regulated genes. GO function enrichment analysis showed that DEGs mainly distributed in cytoplasm， membrane， extracellular space， and induced AD via biological processes such as positive/negative regulation of transcription， positive regulation of NF-κB activity， regulation of Rho protein signaling transduction， protein phosphorylation； via protein binding， DNA binding， transcription factor activity （sequence specific DNA binding） and other molecular functions. KEGG pathway enrichment analysis showed that DEGs was enriched in cancer pathway， pulmonary tuberculosis， osteoclast differentiation， JAK/STAT signaling pathway， FoxO signaling pathway， EB virus infection and other signaling pathways. There are 1 205 nodes and 3 931 edges in the PPI network of DEGs coding protein. Among them， the key genes are SOCS3， NEDD4 and CBLB， which may be the potential target of AD development.
