Identification of the disease-associated genes in periodontitis using the co-expression network

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• 作者：G. P. Sun ; T. Jiang ; P. F. Xie ; J. Lan
• 关键词：periodontitis ; differentially expressed genes ; co ; expression
• 刊名：Molecular Biology
• 出版年：2016
• 出版时间：January 2016
• 年：2016
• 卷：50
• 期：1
• 页码：124-131
• 全文大小：1,164 KB
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• 作者单位：G. P. Sun (1)
  T. Jiang (2)
  P. F. Xie (3)
  J. Lan (4)
  
  1. Department of Stomatology, the Third Hospital of Ji’nan, Ji’nan, Shandong, China
  2. General Department, Ji’nan Stomatological Hospital, Ji’nan, Shandong, China
  3. Department of Oral and Maxillofacial Surgery, Ji’nan Stomatological Hospital, Ji’nan, Shandong, China
  4. Department of Prosthodontics, College of Stomatology, Shandong University, Ji’nan, Shandong, China
  
• 刊物类别：Biomedical and Life Sciences
• 刊物主题：Life Sciences
  Life Sciences
  Biochemistry
  Human Genetics
  Russian Library of Science
  
• 出版者：MAIK Nauka/Interperiodica distributed exclusively by Springer Science+Business Media LLC.
• ISSN：1608-3245

文摘

The aim of this study was to investigate the disease-associated genes in periodontitis. In the present experiments, the topological analysis of the differential co-expression network was proposed. Using the GSE16134 dataset downloaded from the European Molecular Biology Laboratory-European Bioinformatics Institute, a co-expression network was constructed after the differentially expressed genes (DEGs) were identified between the diseased (242 samples) and healthy (69 samples) gingival tissues from periodontitis patients. The topological properties of the modules obtained from the network as well as an analysis of transcription factors (TFs) were used to determine the disease-associated genes. The gene ontology and pathway enrichment analysis was performed to investigate the underlying mechanisms of these disease related genes. A total of 524 DEGs, including 19 TFs were identified and a co-expression network with 2569 edges was obtained. Among the 7 modules gained in the network, the TFs (ZNF215, ZEN273, NFAT5, TRPS1, MEF2C and FLI1) were considered to be important in periodontitis. The functional and pathway enrichment analysis revealed that the DEGs were highly involved in the immune system. The co-expression network analysis and TFs identified in periodontitis may provide opportunities for biomarker development and novel insights into the therapeutics of periodontitis.