EpimiRBase: a comprehensive database of microRNA-epilepsy associations

Files in This Item:
File Description SizeFormat 
EpimiRBase.pdf240.55 kBAdobe PDFDownload
Title: EpimiRBase: a comprehensive database of microRNA-epilepsy associations
Authors: Mooney, CatherineBecker, Brett A.Raoof, RanaHenshall, David C
Permanent link: http://hdl.handle.net/10197/10065
Date: 8-Jan-2016
Online since: 2019-04-23T08:54:58Z
Abstract: MicroRNAs are short non-coding RNA which function to fine-tune protein levels in all cells. This is achieved mainly by sequence-specific binding to 3′ untranslated regions of target mRNA. The result is post-transcriptional interference in gene expression which reduces protein levels either by promoting destabilisation of mRNA or translational repression. Research published since 2010 shows that microRNAs are important regulators of gene expression in epilepsy. A series of microRNA profiling studies in rodent and human tissue has revealed that epilepsy is associated with wide ranging changes to microRNA levels in the brain. These are thought to influence processes including cell death, inflammation and re-wiring of neuronal networks. MicroRNAs have also been identified in the blood after injury to the brain and therefore may serve as biomarkers of epilepsy. EpimiRBase is a manually curated database for researchers interested in the role of microRNAs in epilepsy. The fully searchable database includes information on up- and down-regulated microRNAs in the brain and blood, as well as functional studies, and covers both rodent models and human epilepsy.
Funding Details: European Commission - Seventh Framework Programme (FP7)
Science Foundation Ireland
Type of material: Journal Article
Publisher: Oxford University Press
Journal: Bioinformatics
Volume: 32
Issue: 9
Start page: 1436
End page: 1438
Copyright (published version): 2016 the Authors
Keywords: EpilepsyMicroRNAsRNAGene expression regulationBiomarkers of epilepsy
DOI: 10.1093/bioinformatics/btw008
Language: en
Status of Item: Peer reviewed
Appears in Collections:Computer Science Research Collection

Show full item record

Citations 20

Last Week
Last month
checked on Jul 18, 2019

Page view(s) 50

checked on Jul 9, 2019


checked on Jul 9, 2019

Google ScholarTM



This item is available under the Attribution-NonCommercial-NoDerivs 3.0 Ireland. No item may be reproduced for commercial purposes. For other possible restrictions on use please refer to the publisher's URL where this is made available, or to notes contained in the item itself. Other terms may apply.