Please use this identifier to cite or link to this item:
Title: Visualization and analysis of MicroRNAs within KEGG pathways using VANESA
Authors: Hamzeiy, Hamid
Suluyayla, Rabia
Brinkrolf, Christoph
Janowski, Sebastian Jan
Hofestaedt, Ralf
Allmer, Jens
Keywords: VANESA
KEGG pathway
Target database
Publisher: Walter de Gruyter GmbH
Abstract: MicroRNAs (miRNAs) are small RNA molecules which are known to take part in post-transcriptional regulation of gene expression. Here, VANESA, an existing platform for reconstructing, visualizing, and analysis of large biological networks, has been further expanded to include all experimentally validated human miRNAs available within miRBase, TarBase and miRTarBase. This is done by integrating a custom hybrid miRNA database to DAWIS-M.D., VANESA's main data source, enabling the visualization and analysis of miRNAs within large biological pathways such as those found within the Kyoto Encyclopedia of Genes and Genomes (KEGG). Interestingly, 99.15 % of human KEGG pathways either contain genes which are targeted by miRNAs or harbor them. This is mainly due to the high number of interaction partners that each miRNA could have (e.g.: hsa-miR-335-5p targets 2544 genes and 71 miRNAs target NUFIP2). We demonstrate the usability of our system by analyzing the measles virus KEGG pathway as a proof-of-principle model and further highlight the importance of integrating miRNAs (both experimentally validated and predicted) into biological networks for the elucidation of novel miRNA-mRNA interactions of biological importance.
ISSN: 1613-4516
Appears in Collections:Molecular Biology and Genetics / Moleküler Biyoloji ve Genetik
PubMed İndeksli Yayınlar Koleksiyonu / PubMed Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

Files in This Item:
File SizeFormat 
10.1515_jib-2016-0004.pdf3.87 MBAdobe PDFView/Open
Show full item record

CORE Recommender


checked on Apr 5, 2024


checked on Mar 16, 2024

Page view(s)

checked on Apr 15, 2024


checked on Apr 15, 2024

Google ScholarTM



Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.