OGP:A Repository of Experimentally Characterized O-glycoproteins to Facilitate Studies on O-glycosylation
- Author:
Huang JIANGMING
1
,
2
;
Wu MENGXI
;
Zhang YANG
;
Kong SIYUAN
;
Liu MINGQI
;
Jiang BIYUN
;
Yang PENGYUAN
;
Cao WEIQIAN
Author Information
1. Department of Chemistry and Institutes of Biomedical Sciences,Fudan University,Shanghai 200032,China
2. The Fifth People's Hospital,Fudan University,and the Shanghai Key Laboratory of Medical Epigenetics,the International Co-laboratory of Medical Epigenetics and Metabolism,Ministry of Science and Technology,Fudan University,Shanghai 200032,China
- Keywords:
O-glycosylation;
O-glycoprotein repository;
Site prediction;
O-glycoprotein related website;
Data mining
- From:
Genomics, Proteomics & Bioinformatics
2021;19(4):611-618
- CountryChina
- Language:Chinese
-
Abstract:
Numerous studies on cancers, biopharmaceuticals, and clinical trials have necessitated comprehensive and precise analysis of protein O-glycosylation. However, the lack of updated and convenient databases deters the storage of and reference to emerging O-glycoprotein data. To resolve this issue, an O-glycoprotein repository named OGP was established in this work. It was constructed with a collection of O-glycoprotein data from different sources. OGP contains 9354 O-glycosylation sites and 11,633 site-specific O-glycans mapping to 2133 O-glycoproteins, and it is the largest O-glycoprotein repository thus far. Based on the recorded O-glycosylation sites, an O-glycosylation site prediction tool was developed. Moreover, an OGP-based website is already available (http://www.oglyp.org/). The website comprises four specially designed and user-friendly modules:statistical analysis, database search, site prediction, and data submission. The first version of OGP repository and the website allow users to obtain various O-glycoprotein-related information, such as protein accession Nos., O-glycosylation sites, O-glycopeptide sequences, site-specific O-glycan structures, experimental methods, and potential O-glycosylation sites. O-glycosylation data mining can be performed efficiently on this website, which will greatly facilitate related studies. In addition, the database is accessible from OGP website (http://www.oglyp.org/download.php).
