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Oxidative Medicine and Cellular LongevityVolume 2013 2013, Article ID 737591, 9 pages

Research Article

Department of Genetics, Eötvös Loránd University, Pázmány P. s. 1C, H-1117, Budapest, Hungary

Department of Medical Chemistry, Faculty of Medicine, Semmelweis University, Tűzoltó u. 37-47, H-1094, Budapest, Hungary

Department of Morphology and Physiology, Faculty of Health Sciences, Semmelweis University, Vas u. 17, H-1088, Budapest, Hungary

Received 15 January 2013; Accepted 19 March 2013

Academic Editor: Hye-Youn Cho

Copyright © 2013 Dénes Türei et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


NRF2 is the master transcriptional regulator of oxidative and xenobiotic stress responses. NRF2 has important roles in carcinogenesis, inflammation, and neurodegenerative diseases. We developed an online resource, NRF2-ome, to provide an integrated and systems-level database for NRF2. The database contains manually curated and predicted interactions of NRF2 as well as data from external interaction databases. We integrated NRF2 interactome with NRF2 target genes, NRF2 regulating TFs, and miRNAs. We connected NRF2-ome to signaling pathways to allow mapping upstream NRF2 regulatory components that could directly or indirectly influence NRF2 activity totaling 35,967 protein-protein and signaling interactions. The user-friendly website allows researchers without computational background to search, browse, and download the database. The database can be downloaded in SQL, CSV, BioPAX, SBML, PSI-MI, and in a Cytoscape CYS file formats. We illustrated the applicability of the website by suggesting a posttranscriptional negative feedback of NRF2 by MAFG protein and raised the possibility of a connection between NRF2 and the JAK-STAT pathway through STAT1 and STAT3. NRF2-ome can also be used as an evaluation tool to help researchers and drug developers to understand the hidden regulatory mechanisms in the complex network of NRF2.

Author: Dénes Türei, Diána Papp, Dávid Fazekas, László Földvári-Nagy, Dezső Módos, Katalin Lenti, Péter Csermely, and Ta



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