• DocumentCode
    3454333
  • Title

    Integrative Computational Identifications of the Signaling Pathway Network Related to TNF-alpha Stimulus in Vascular Endothelial Cells

  • Author

    Gu, Jin ; Li, Shao ; Chen, Yang ; Li, Yanda

  • Author_Institution
    Dept. of Autom., Tsinghua Univ., Beijing, China
  • fYear
    2009
  • fDate
    3-5 Aug. 2009
  • Firstpage
    422
  • Lastpage
    427
  • Abstract
    Integrating multiple datasets becomes essential for systematically understanding complex biological processes. Here, we presented a new method to identify and annotate the downstream pathways related to TNF-alpha (TNF) stimulus in vascular endothelial cells (VECs). It is found that the downstream pathways of TNF can both cause cell proliferation and cell death, which may provide an explanation for the ambiguous roles of TNF in angiogenesis. By calculating the distances in protein-protein interaction (PPI) network between different signaling pathways, many possible cross-talks are predicted, which suggests complex downstream responses for TNF stimulus.
  • Keywords
    cellular biophysics; integral equations; integration; molecular biophysics; proteins; TNF-alpha stimulus; angiogenesis; cell death; cell proliferation; downstream pathways; integrative computational identifications; protein-protein interaction network; signaling pathway network; vascular endothelial cells; Bioinformatics; Biological processes; Biology computing; Breast cancer; Cells (biology); Computer networks; Humans; Protein engineering; Signal processing; Systems biology; Systems biology; TNF-alpha (TNF); pathway; vascular endothelai cells (VECs);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics, Systems Biology and Intelligent Computing, 2009. IJCBS '09. International Joint Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-0-7695-3739-9
  • Type

    conf

  • DOI
    10.1109/IJCBS.2009.11
  • Filename
    5260406