title: A glycoproteome database of normal human liver tissue.
abstract: 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.
authors.affiliation: Liver Cancer Institute, Zhongshan Hospital, Fudan University, 136 Yi Xue Yuan Road, 200032 Shanghai, People's Republic of China.
authors.forename: Hai-Jun
authors.initials: HJ
authors.lastname: Zhou
authors.forename: Yin-Kun
authors.initials: YK
authors.lastname: Liu
authors.forename: Jie-Feng
authors.initials: JF
authors.lastname: Chui
authors.forename: Qiang-Ling
authors.initials: QL
authors.lastname: Sun
authors.forename: Wen-Jing
authors.initials: WJ
authors.lastname: Lu
authors.forename: Kun
authors.initials: K
authors.lastname: Guo
authors.forename: Hong
authors.initials: H
authors.lastname: Jin
authors.forename: Li-Ming
authors.initials: LM
authors.lastname: Wei
authors.forename: Peng-Yuan
authors.initials: PY
authors.lastname: Yang
mesh_terms: 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
chemical_list: D006023:Glycoproteins