• DocumentCode
    667346
  • Title

    Integrative transcriptomic analysis of two cell lines elucidates the architecture of endoplasmic reticulum stress signaling in glioblastoma

  • Author

    Chatziioannou, Aristotelis A. ; Papadodima, Olga ; Dejeans, Nicolas ; Chevet, Eric

  • Author_Institution
    Metabolic Eng. & Bioinf. Programme, Nat. Hellenic Res. Found., Athens, Greece
  • fYear
    2013
  • fDate
    10-13 Nov. 2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The endoplasmic-reticulum (ER) stress response represents a pivotal cellular process, triggered by a variety of stimuli implying incorrect protein folding in the ER. Solid evidence implicates ER stress-induced dysfunction as major contributors in many cancers, among which brain cancers. In this work, an integrative analysis in two transcriptomic datasets scrutinizes the regulatory potency of ER stress mechanisms in glioblastoma. Besides confirming the results of the initial analyses, the integration of both datasets manages to study the effect of cellular stress in conjunction to the dysregulation of the IRE1α branch of the ER stress signaling pathways. Given the respective diversified phenotypic profile of glioblastomas, ranging from increased proliferation to enhanced migration and aggressiveness as a result of the IRE1α molecular switch, this study suggests potential target groups of master regulators of the ER stress pathways, through the application of an established, exhaustive computational framework.
  • Keywords
    brain; cancer; cell motility; molecular biophysics; molecular configurations; proteins; tumours; IRE1α branch; IRE1α molecular switch; brain cancers; cell aggressiveness; cell lines; cell proliferation; endoplasmic reticulum stress signaling architecture; endoplasmic reticulum stress-induced dysfunction; enhanced cell migration; exhaustive computational framework; glioblastoma; integrative analysis; integrative transcriptomic analysis; master regulators; phenotypic profile; pivotal cellular process; protein folding; regulatory potency; transcriptomic datasets; Bioinformatics; Cancer; Computer architecture; Erbium; Proteins; Stress; Tumors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Bioengineering (BIBE), 2013 IEEE 13th International Conference on
  • Conference_Location
    Chania
  • Type

    conf

  • DOI
    10.1109/BIBE.2013.6701684
  • Filename
    6701684