Modeling competing endogenous RNA regulatory networks in glioblastoma multiforme

Yu Chiao Chiu, Eric Y. Chuang, Tzu Hung Hsiao, Yidong Chen

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    5 Scopus citations

    Abstract

    Recent studies postulated that genes harboring identical microRNA (miRNA) binding sites can crosstalk by competing for a limited pool of the binding miRNAs (the miRNA program), named as the regulation of competing endogenous RNAs (ceRNAs). Incorporating recent biological evidence that ceRNA regulation depends on miRNA program expression levels, we developed, in the present study, a mathematical model for systematically inferring ceRNA regulation that is dependent on expression levels of the miRNA programs from sample-paired mRNA and miRNA expression datasets. Applying the method to analyze glioblastoma datasets, a compact ceRNA regulatory network was constructed. Our data further demonstrated that ceRNA regulation plays an essential role in transient cellular responses to dynamic inter-cellular signals. The findings illuminate mechanism of ceRNA regulation and further provide biological insights into the complex human interactome.

    Original languageEnglish (US)
    Title of host publicationProceedings - 2013 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2013
    Pages201-204
    Number of pages4
    DOIs
    StatePublished - 2013
    Event2013 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2013 - Shanghai, China
    Duration: Dec 18 2013Dec 21 2013

    Publication series

    NameProceedings - 2013 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2013

    Other

    Other2013 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2013
    Country/TerritoryChina
    CityShanghai
    Period12/18/1312/21/13

    Keywords

    • competing endogenous RNA
    • gene regulatory network
    • glioblastoma multiforme

    ASJC Scopus subject areas

    • Biomedical Engineering

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