Modeling competing endogenous RNA regulatory networks in glioblastoma multiforme

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

    Producción científica: Conference contribution

    5 Citas (Scopus)

    Resumen

    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.

    Idioma originalEnglish (US)
    Título de la publicación alojadaProceedings - 2013 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2013
    Páginas201-204
    Número de páginas4
    DOI
    EstadoPublished - 2013
    Evento2013 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2013 - Shanghai, China
    Duración: dic 18 2013dic 21 2013

    Serie de la publicación

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

    Other

    Other2013 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2013
    País/TerritorioChina
    CiudadShanghai
    Período12/18/1312/21/13

    ASJC Scopus subject areas

    • Biomedical Engineering

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