Large-Scale Investigation of Human TF-miRNA Relations Based on Coexpression Profiles

Chien Chia-Hung , Yi-Fan Chiang-Hsieh, Ann Ping Tsou, Shun Long Weng, Wen-Chi Chang, Hsien-Da Huang

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Abstract

Noncoding, endogenous microRNAs (miRNAs) are fairly well known for regulating gene expression rather than protein coding. Dysregulation of miRNA gene, either upregulated or downregulated, may lead to severe diseases or oncogenesis, especially when the miRNA disorder involves significant bioreactions or pathways. Thus, how miRNA genes are transcriptionally regulated has been highlighted as well as target recognition in recent years. In this study, a large-scale investigation of novel cis- and trans-elements was undertaken to further determine TF-miRNA regulatory relations, which are necessary to unravel the transcriptional regulation of miRNA genes. Based on miRNA and annotated gene expression profiles, the term "coTFBS" was introduced to detect common transcription factors and the corresponding binding sites within the promoter regions of each miRNA and its coexpressed annotated genes. The computational pipeline was successfully established to filter redundancy due to short sequencemotifs for TFBS pattern search. Eventually, we identified more convinced TF-miRNA regulatory relations for 225 human miRNAs. This valuable information is helpful in understanding miRNA functions and provides knowledge to evaluate the therapeutic potential in clinical research. Once most expression profiles of miRNAs in the latest database are completed, TF candidates of more miRNAs can be explored by this filtering approach in the future.
Original languageEnglish
JournalBioMed Research International
DOIs
StatePublished - 2014

Keywords

  • FACTOR-BINDING SITES; FEEDFORWARD REGULATORY CIRCUITS; TRANSCRIPTION FACTORS; EXPRESSION PROFILES; MICRORNAS; DATABASE; MICROARRAY; MOTIFS; IDENTIFICATION; FRAMEWORK

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    Chia-Hung , C., Chiang-Hsieh, Y-F., Tsou, A. P., Weng, S. L., Chang, W-C., & Huang, H-D. (2014). Large-Scale Investigation of Human TF-miRNA Relations Based on Coexpression Profiles. BioMed Research International. https://doi.org/10.1155/2014/623078