首页 / 院系成果 / 成果详情页

Analysis of miRNA functional synergistic network in breast cancer  期刊论文 会议论文  

  • 编号:
    b2d17a8c-0789-4d6c-bf78-3b19b726dbbc
  • 作者:
    Geng, Xiaomei;Kong, Xiangjun;Chen, Qilong(陈启龙);Su, Shibing(苏式兵);Hu, Yuanjia
  • 作者单位:
    (1) Institute of Chinese Medical Sciences, State Key Laboratory of Quality Research in Chinese Medicine, University of Macau, Taipa, China (2) Research Center for Traditional Chinese Medicine Complexity System, Shanghai University of Traditional Chinese Medicine, Shanghai, China
  • 语种:
    英文
  • 会议名称:
    ACM International Conference Proceeding Series
  • 会议地点:
    Singapore, Singapore
  • 收录:
  • 摘要:

    In view of the importance of microRNAs (miRNAs) in breast cancer, it is of great significance to provide a better understanding on the synergistic regulations of miRNAs in breast cancer for developing relevant diagnosis and therapy strategies. We collected the differentially expressed miRNAs (DE-miRNAs) in breast cancer from public databases and literatures, retrieved the predicted target genes of DE-miRNAs from miRecords, and further used ClueGO to perform KEGG functional enrichment analysis. Moreover, the complex synergistic relationships among DE-miRNAs were demonstrated by constructing miRNA-miRNA functional synergistic networks and sub-networks. The results indicate that both up- and down-regulated miRNAs play essential roles in the tumorigenesis, progression, metastasis, angiogenesis, and/or immune escaping of breast cancer. Furthermore, we found that the synergistic effect is stronger among miRNA family members than non-family miRNAs. The miR-15 family, miR-203, miR-579, miR-495, and miR-432, play a significant synergistic role in the initiation and development of breast cancer. These findings might provide new insights in understanding the mechanisms of breast tumorigenesis mediated by miRNAs, as well as contribute to the diagnosis and treatment of breast cancer. © 2017 Association for Computing Machinery.

  • 推荐引用方式
    GB/T 7714:
    Geng Xiaomei (1),Kong Xiangjun (1),Chen Qilong (2), et al. Analysis of miRNA functional synergistic network in breast cancer [J].ACM International Conference Proceeding Series,2017,Part F130950:22-29.
  • APA:
    Geng Xiaomei (1),Kong Xiangjun (1),Chen Qilong (2),Su Shibing (2),&Hu Yuanjia (2).(2017).Analysis of miRNA functional synergistic network in breast cancer .ACM International Conference Proceeding Series,Part F130950:22-29.
  • MLA:
    Geng Xiaomei (1), et al. "Analysis of miRNA functional synergistic network in breast cancer" .ACM International Conference Proceeding Series Part F130950(2017):22-29.
浏览次数:40 下载次数:0
浏览次数:40
下载次数:0
打印次数:0
浏览器支持: Google Chrome   火狐   360浏览器极速模式(8.0+极速模式) 
返回顶部