Asian Pacific Journal of Cancer Prevention

  • 제16권13호
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  • Pages.5445-5451
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  • 2015
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  • 1513-7368(pISSN)
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  • 2476-762X(eISSN)
아시아태평양암예방학회 (Asian Pacific Journal of Cancer Prevention)
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Network Analyses of Gene Expression following Fascin Knockdown in Esophageal Squamous Cell Carcinoma Cells

  • Du, Ze-Peng (Department of Pathology, Shantou Central Hospital) ;
  • Wu, Bing-Li (Department of Biochemistry and Molecular Biology, Shantou University Medical College) ;
  • Xie, Jian-Jun (Department of Biochemistry and Molecular Biology, Shantou University Medical College) ;
  • Lin, Xuan-Hao (Department of Pathology, Shantou Central Hospital) ;
  • Qiu, Xiao-Yang (Department of Pathology, Shantou Central Hospital) ;
  • Zhan, Xiao-Fen (Department of Pathology, Shantou Central Hospital) ;
  • Wang, Shao-Hong (Department of Pathology, Shantou Central Hospital) ;
  • Shen, Jin-Hui (Department of Pathology, Shantou Central Hospital) ;
  • Li, En-Min (Department of Biochemistry and Molecular Biology, Shantou University Medical College) ;
  • Xu, Li-Yan (Institute of Oncologic Pathology, Shantou University Medical College)
  • 발행 : 2015.08.03
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초록

Fascin-1 (FSCN1) is an actin-bundling protein that induces cell membrane protrusions, increases cell motility, and is overexpressed in various human epithelial cancers, including esophageal squamous cell carcinoma (ESCC). We analyzed various protein-protein interactions (PPI) of differentially-expressed genes (DEGs), in fascin knockdown ESCC cells, to explore the role of fascin overexpression. The node-degree distributions indicated these PPI sub-networks to be characterized as scale-free. Subcellular localization analysis revealed DEGs to interact with other proteins directly or indirectly, distributed in multiple layers of extracellular membrane-cytoskeleton/ cytoplasm-nucleus. The functional annotation map revealed hundreds of significant gene ontology (GO) terms, especially those associated with cytoskeleton organization of FSCN1. The Random Walk with Restart algorithm was applied to identify the prioritizations of these DEGs when considering their relationship with FSCN1. These analyses based on PPI network have greatly expanded our comprehension of the mRNA expression profile following fascin knockdown to future examine the roles and mechanisms of fascin action.

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