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Updated: May 8, 2026
Bioinformatics Resources for the Study of Glycan-Mediated Protein Interactions
Published on: January 20, 2022
The Xeno-glycomics database (XDB): a relational database of qualitative and quantitative pig glycome repertoire
Hae-Min Park1, Ju-Hyeong Park, Yoon-Woo Kim
1School of Chemical and Biological Engineering and Department of Computer Science and Engineering, Seoul National University, Seoul 151-742, Korea Department of Chemical Engineering, Soongsil University, Seoul 156-743, Korea Institute of Molecular Biology and Genetics and Institute of Bioengineering, Seoul National University, Seoul 151-742, Korea.
Summary:
In recent years, the improvement of mass spectrometry-based glycomics techniques (i.e. highly sensitive, quantitative and high-throughput analytical tools) has enabled us to obtain a large dataset of glycans. Here we present a database named Xeno-glycomics database (XDB) that contains cell- or tissue-specific pig glycomes analyzed with mass spectrometry-based techniques, including a comprehensive pig glycan information on chemical structures, mass values, types and relative quantities. It was designed as a user-friendly web-based interface that allows users to query the database according to pig tissue/cell types or glycan masses. This database will contribute in providing qualitative and quantitative information on glycomes characterized from various pig cells/organs in xenotransplantation and might eventually provide new targets in the α1,3-galactosyltransferase gene-knock out pigs era.
Availability:
The database can be accessed on the web at http://bioinformatics.snu.ac.kr/xdb.
