A glycoproteome database of normal human liver tissue.
OBJECTIVE
To extensively investigate the glycoproteins of normal human liver tissue, constructing the glycoprotein profile and database of the normal human liver tissue.


METHODS
The total proteins were extracted from the normal human liver tissue and then subjected to two-dimensional electrophoresis (2-DE). Finally, 2-DE gels were stained according to the methods of multiplexed proteomics (MP) technology. Glycoprotein spots were excised from 2-DE gel and then characterized by matrix assisted laser desorption/ionization-time of flight mass spectrometry (MALDI-TOF-MS).


RESULTS
The PDQuest software detected 1,011 glycoprotein spots and 1,923 total protein spots in the 2-DE gels of sample from the normal human liver tissue. Furthermore, 116 species of glycoproteins were successfully identified via peptide mass profiling using MALDI-TOF-MS/MS and annotated to our databases. In addition, we also applied bioinformatics softwares to predict N- or O-glycosylation sites of identified glycoproteins.


CONCLUSIONS
This study demonstrates the feasibility of a novel technological platform to contruct glycoprotein databases. These results lay the foundation for future physiological and pathological studies of the human liver.
Zhou
Hai-Jun
HJ
Liver Cancer Institute, Zhongshan Hospital, Fudan University, 136 Yi Xue Yuan Road, 200032 Shanghai, People's Republic of China.
Liu
Yin-Kun
YK
Chui
Jie-Feng
JF
Sun
Qiang-Ling
QL
Lu
Wen-Jing
WJ
Guo
Kun
K
Jin
Hong
H
Wei
Li-Ming
LM
Yang
Peng-Yuan
PY
D030562:Databases, Protein; D015180:Electrophoresis, Gel, Two-Dimensional; D005240:Feasibility Studies; D006023:Glycoproteins / Q000032:analysis*; D006031:Glycosylation; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008099:Liver / Q000737:chemistry*; D040901:Proteomics; D012984:Software; D019032:Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization
D006023:Glycoproteins