miRegulome: a knowledge-base of miRNA regulomics and analysis

Authors

Debmalya Barh, Institute of Integrative Omics and Applied Biotechnology
Bhanu Kamapantula, Virginia Commonwealth University
Neha Jain, Institute of Integrative Omics and Applied Biotechnology, Devi Ahilya University
Joseph Nalluri, Virginia Commonwealth University
Antaripa Bhattacharya, Institute of Integrative Omics and Applied Biotechnology
Lucky Juneja, Institute of Integrative Omics and Applied Biotechnology, Devi Ahilya University
Neha Barve, Institute of Integrative Omics and Applied Biotechnology, Devi Ahilya University
Sandeep Tiwari, Institute of Integrative Omics and Applied Biotechnology, Universidade Federal de Minas Gerais
Anderson Miyoshi, Universidade Federal de Minas Gerais
Vasco Azevedo, Universidade Federal de Minas Gerais
Kenneth Blum, Institute of Integrative Omics and Applied Biotechnology, University of Florida
Anil Kumar, Devi Ahilya University
Artur Silva, Universidade Federal do Pará
Preetam Ghosh, Virginia Commonwealth University

Document Type

Article

Original Publication Date

2015

Journal/Book/Conference Title

Scientific Reports

Volume

5

DOI of Original Publication

10.1038/srep12832

Comments

Originally published at http://dx.doi.org/10.1038/srep12832

Date of Submission

November 2015

Abstract

miRNAs regulate post transcriptional gene expression by targeting multiple mRNAs and hence can modulate multiple signalling pathways, biological processes, and patho-physiologies. Therefore, understanding of miRNA regulatory networks is essential in order to modulate the functions of a miRNA. The focus of several existing databases is to provide information on specific aspects of miRNA regulation. However, an integrated resource on the miRNA regulome is currently not available to facilitate the exploration and understanding of miRNA regulomics. miRegulome attempts to bridge this gap. The current version of miRegulome v1.0 provides details on the entire regulatory modules of miRNAs altered in response to chemical treatments and transcription factors, based on validated data manually curated from published literature. Modules of miRegulome (upstream regulators, downstream targets, miRNA regulated pathways, functions, diseases, etc) are hyperlinked to an appropriate external resource and are displayed visually to provide a comprehensive understanding. Four analysis tools are incorporated to identify relationships among different modules based on user specified datasets. miRegulome and its tools are helpful in understanding the biology of miRNAs and will also facilitate the discovery of biomarkers and therapeutics. With added features in upcoming releases, miRegulome will be an essential resource to the scientific community. Availability:http://bnet.egr.vcu.edu/miRegulome.

Rights

Copyright © 2015, Macmillan Publishers Limited This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

Is Part Of

VCU Computer Science Publications