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Methods of MicroRNA Promoter Prediction and Transcription Factor Mediated Regulatory Network
Joint Authors
Wang, Guohua
Wang, Fang
Zhao, Yuming
Chen, Su
Wan, Jun
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-06-05
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Zhao, Yuming& Wang, Fang& Chen, Su& Wan, Jun& Wang, Guohua. 2017. Methods of MicroRNA Promoter Prediction and Transcription Factor Mediated Regulatory Network. BioMed Research International،Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1138351
Modern Language Association (MLA)
Zhao, Yuming…[et al.]. Methods of MicroRNA Promoter Prediction and Transcription Factor Mediated Regulatory Network. BioMed Research International No. 2017 (2017), pp.1-8.
https://search.emarefa.net/detail/BIM-1138351
American Medical Association (AMA)
Zhao, Yuming& Wang, Fang& Chen, Su& Wan, Jun& Wang, Guohua. Methods of MicroRNA Promoter Prediction and Transcription Factor Mediated Regulatory Network. BioMed Research International. 2017. Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1138351
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1138351