Methods of MicroRNA Promoter Prediction and Transcription Factor Mediated Regulatory Network

Author:

Zhao Yuming12ORCID,Wang Fang3ORCID,Chen Su1,Wan Jun4,Wang Guohua3

Affiliation:

1. State Key Laboratory of Tree Genetics and Breeding, Northeast Forestry University, Harbin, Heilongjiang, China

2. Information and Computer Engineering College, Northeast Forestry University, Harbin, Heilongjiang, China

3. School of Computer Science and Technology, Harbin Institute of Technology, Harbin, Heilongjiang, China

4. Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA

Abstract

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.

Funder

Northeast Forestry University

Publisher

Hindawi Limited

Subject

General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine

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