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
Link To Document :
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