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 - Dec 1 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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