Methods of MicroRNA Promoter Prediction and Transcription Factor Mediated Regulatory Network

作者：Yuming Zhao, Fang Wang, Su Chen, Jun Wan, Guohua Wang · 发表于：BioMed Research International · 年份：2017 · DOI：10.1155/2017/7049406 · 被引用次数：56 · 研究领域：MicroRNA in disease regulation、Cancer-related molecular mechanisms research、RNA modifications and cancer

MicroRNAs (miRNAs) are short (~22 nucleotides) noncoding RNAs and disseminated throughout the genome, either in the intergenic regions or in the intronic sequences of protein-coding genes. MiRNAs have been proved to play important roles in regulating gene expression. Hence, understanding the transcriptional mechanism of miRNA genes is a very critical step to uncover the whole regulatory network. A number of miRNA promoter prediction models have been proposed in the past decade. This review summarized several most popular miRNA promoter prediction models which used genome sequence features, or other features, for example, histone markers, RNA Pol II binding sites, and nucleosome-free regions, achieved by high-throughput sequencing data. Some databases were described as resources for miRNA promoter information. We then performed comprehensive discussion on prediction and identification of transcription factor mediated microRNA regulatory networks.