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  Down syndrome (DS) is a common genetic disorder that molecular investigation could provide a better understanding of this complicated condition. In this regard, the present bioinformatic study is aimed to reveal important genes and their associated biological processes in DS via transcriptome microarray study (GSE5390) in Gene Expression Omnibus database (GEO).  The differentially expressed genes (DEGs) between adult DS patients and healthy individuals from brain tissue were acquired and screened via GEO2R online software. Then, Cytoscape and its plug-ins constructed and analyzed a protein-protein interaction (PPI) network of significant DEGs.  The findings indicate that there are four key possible biomarkers in DS in terms of aberrant expression and centrality in protein-protein interaction (PPI) network. Additionally, the high expression of these candidate biomarkers, including RHOA, FGF2, FYN, and CD44 could stimulate disruption in their related biological processes. Overall, although far from complete, our mapping provided a new insight to interactome level in adult DS patients by introducing four potential targets and their enriched biological features. These findings indicate that the critical aspects of DS could be affected by the products of various chromosomes (Chrs) besides Chr 21. 
Type of Study: Original | Subject: Behavioral Neuroscience
Received: 2018/12/15 | Accepted: 2019/01/14 | Published: 2018/03/15

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