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    PERK silence inhibits glioma cell growth under low glucose stress by blockage of p-AKT and subsequent HK2's mitochondria translocation

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    Type
    Article
    Authors
    Hou, Xu
    Liu, Yaohua
    Liu, Huailei
    Chen, Xin
    Liu, Min
    Che, Hui
    Guo, Fei
    Wang, Chunlei
    Zhang, Daming
    Wu, Jianing
    Chen, Xiaofeng
    Shen, Chen
    Li, Chenguang
    Peng, Fei
    Bi, Yunke
    Yang, Zhuowen
    Yang, Guang
    Ai, Jing
    Gao, Xin cc
    ZHAO, SHIGUANG
    KAUST Department
    Computational Bioscience Research Center (CBRC)
    Computer Science Program
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Structural and Functional Bioinformatics Group
    Date
    2015-03-12
    Online Publication Date
    2015-03-12
    Print Publication Date
    2015-08
    Permanent link to this record
    http://hdl.handle.net/10754/346876
    
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    Abstract
    Glioma relies on glycolysis to obtain energy and sustain its survival under low glucose microenvironment in vivo. The mechanisms on glioma cell glycolysis regulation are still unclear. Signaling mediated by Double-stranded RNA-activated protein kinase (PKR) - like ER kinase (PERK) is one of the important pathways of unfolded protein response (UPR) which is comprehensively activated in cancer cells upon the hypoxic and low glucose stress. Here we show that PERK is significantly activated in human glioma tissues. PERK silencing results in decreased glioma cell viability and ATP/lactate production upon low glucose stress, which is mediated by partially blocked AKT activation and subsequent inhibition of Hexokinase II (HK2)'s mitochondria translocation. More importantly, PERK silenced glioma cells show decreased tumor formation capacity. Our results reveal that PERK activation is involved in glioma glycolysis regulation and may be a potential molecular target for glioma treatment.
    Citation
    PERK silence inhibits glioma cell growth under low glucose stress by blockage of p-AKT and subsequent HK2's mitochondria translocation 2015, 5:9065 Scientific Reports
    Publisher
    Springer Nature
    Journal
    Scientific Reports
    DOI
    10.1038/srep09065
    PubMed ID
    25761777
    PubMed Central ID
    PMC4356960
    Additional Links
    http://www.nature.com/doifinder/10.1038/srep09065
    ae974a485f413a2113503eed53cd6c53
    10.1038/srep09065
    Scopus Count
    Collections
    Articles; Structural and Functional Bioinformatics Group; Computer Science Program; Computational Bioscience Research Center (CBRC); Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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