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  5. EpimiRBase: a comprehensive database of microRNA-epilepsy associations
 
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EpimiRBase: a comprehensive database of microRNA-epilepsy associations

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Author(s)
Mooney, Catherine 
Becker, Brett A. 
Raoof, Rana 
Henshall, David C. 
Uri
http://hdl.handle.net/10197/10065
Date Issued
08 January 2016
Date Available
23T08:54:58Z April 2019
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.
Sponsorship
European Commission - Seventh Framework Programme (FP7)
Science Foundation Ireland
Other Sponsorship
Iraqi Ministry of Higher Education and Scientific Research
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
  • Epilepsy

  • MicroRNAs

  • RNA

  • Gene expression regul...

  • Biomarkers of epileps...

DOI
10.1093/bioinformatics/btw008
Language
English
Status of Item
Peer reviewed
ISSN
1367-4803
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
Owning collection
Computer Science Research Collection
Scopus© citations
34
Acquisition Date
Jan 31, 2023
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Views
842
Acquisition Date
Feb 1, 2023
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Downloads
363
Acquisition Date
Feb 1, 2023
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