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miRACA: A database for miRNAs associated with cancers and age related disorders (ARD)

Authors :
Yasha Hasija
Lokesh Kumar Gahlot
Razia Rahman
Source :
Frontiers in Biology. 13:36-50
Publication Year :
2018
Publisher :
Springer Science and Business Media LLC, 2018.

Abstract

With the given diversity and abundance of several targets of miRNAs, they functionally appear to interact with several elements of the multiple cellular networks to maintain physiologic homeostasis. They can function as tumor suppressors or oncogenes, whose under or overexpression has both diagnostic and prognostic significance in various cancers while being implicated as prospective regulators of age-related disorders (ARD) as well. Establishing a concatenate between ARD and cancers by looking into the insights of the shared miRNAs may have a practical relevance. In the present work, we performed network analysis of miRNA-disease association and miRNA-target gene interaction to prioritize miRNAs that play significant roles in the manifestation of cancer as well as ARD. Also, we developed a repository that stores miRNAs common to both ARD and cancers along with their target genes. We have comprehensively curated all miRNAs that we found to be shared in both the diseases in the human genome and established a database, miRACA (Database for microRNAs Associated with Cancers and ARD) that currently houses information of 1648 miRNAs that are significantly associated with 38 variants supported with pertinent data. It has been made available online at http://genomeinformatics.dtu.ac.in/miraca/ for easy retrieval and utilization of data by the scientific community. To the best of our knowledge, our database is the first attempt at compilation of such data. We believe this work may serve as a significant resource and facilitate the analysis of miRNA regulatory mechanisms shared between cancers and ARD to apprehend disease etiology.

Details

ISSN :
16747992 and 16747984
Volume :
13
Database :
OpenAIRE
Journal :
Frontiers in Biology
Accession number :
edsair.doi...........e5ed6f8c5d70a93799420bc3f453ba49
Full Text :
https://doi.org/10.1007/s11515-018-1481-7