COMMUNICATION

SNObase, a database for S-nitrosation modification

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  • 1. National Laboratory of Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China; 2. Graduate School of the Chinese Academy of Sciences, Beijing 100049, China; 3. Department of Physiology and Pathophysiology, Key Laboratory of Molecular Cardiovascular Sciences of Education Ministry, Peking University Health Science Center, Beijing 100083, China

Received date: 01 Sep 2012

Accepted date: 12 Sep 2012

Published date: 01 Dec 2012

Abstract

S-Nitros(yl)ation is a ubiquitous redox-based posttranslational modification of protein cysteine thiols by nitric oxide or its derivatives, which transduces the bioactivity of nitric oxide (NO) by regulation of protein conformation, activity, stability, localization and protein- protein interactions. These years, more and more S-nitrosated proteins were identified in physiological and pathological processes and the number is still growing. Here we developed a database named SNObase (http://www.nitrosation.org), which collected S-nitrosation targets extracted from literatures up to June 1st, 2012. SNObase contained 2561 instances, and provided information about S-nitrosation targets, sites, biological model, related diseases, trends of S-nitrosation level and effects of S-nitrosation on protein function. With SNObase, we did functional analysis for all the SNO targets: In the gene ontology (GO) biological process category, some processes were discovered to be related to S-nitrosation (“response to drug”, “regulation of cell motion”) besides the previously reported related processes. In the GO cellular component category, cytosol and mitochondrion were both enriched. From the KEGG pathway enrichment results, we found SNO targets were enriched in different diseases, which suggests possible significant roles of S-nitrosation in the progress of these diseases. This SNObase means to be a database with precise, comprehensive and easily accessible information, an environment to help researchers integrate data with comparison and relevancy analysis between different groups or works, and also an SNO knowledgebase offering feasibility for systemic and global analysis of S-nitrosation in interdisciplinary studies.

Cite this article

Xu Zhang, Bo Huang, Lunfeng Zhang, Yuying Zhang, Yingying Zhao, Xiaofei Guo, Xinhua Qiao, Chang Chen . SNObase, a database for S-nitrosation modification[J]. Protein & Cell, 2012 , 3(12) : 929 -933 . DOI: 10.1007/s13238-012-2094-6

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