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PlantCircNet: a database for plant circRNA–miRNA–mRNA regulatory networks

Authors :
Xianwen Meng
Jitong Xue
Yongjing Liu
Yincong Zhou
Ming Chen
Hongjun Chen
Peijing Zhang
Source :
Database: The Journal of Biological Databases and Curation
Publication Year :
2017
Publisher :
Oxford University Press (OUP), 2017.

Abstract

Circular RNA (circRNA) is a novel type of endogenous noncoding RNA with covalently closed loop structures, which are widely expressed in various tissues and have functional implications in cellular processes. Acting as competing endogenous RNAs (ceRNAs), circRNAs are important regulators of miRNA activities. The identification of these circRNAs underlines the increasing complexity of ncRNA-mediated regulatory networks. However, more biological evidence is required to infer direct circRNA–miRNA associations while little attention has been paid to circRNAs in plants as compared to the abundant research in mammals. PlantCircNet is presented as an integrated database that provides visualized plant circRNA–miRNA–mRNA regulatory networks containing identified circRNAs in eight model plants. The bioinformatics integration of data from multiple sources reveals circRNA–miRNA–mRNA regulatory networks and helps identify mechanisms underlying metabolic effects of circRNAs. An enrichment analysis tool was implemented to detect significantly overrepresented Gene Ontology categories of miRNA targets. The genomic annotations, sequences and isoforms of circRNAs were also investigated. PlantCircNet provides a user-friendly interface for querying detailed information of specific plant circRNAs. The database may serve as a resource to facilitate plant circRNA research. Several circRNAs were identified to play potential regulatory roles in flower development and response to environmental stress from regulatory networks related with miR156a and AT5G59720, respectively. This present research indicated that circRNAs could be involved in diverse biological processes. Database URL: http://bis.zju.edu.cn/plantcircnet/index.php

Details

ISSN :
17580463
Volume :
2017
Database :
OpenAIRE
Journal :
Database
Accession number :
edsair.doi.dedup.....0847d3657d787f9b9d590a3e18917d9b
Full Text :
https://doi.org/10.1093/database/bax089