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Glycosylation, a very important post-translational modification of proteins, is increasingly coming into notice. However, large-scale, throughput investigations on glycosylated proteins are few. We applied a sensitive and fast fluorescence-based multiplexed proteomics (MP) technology which included two-dimensional gel electrophoresis (2-DE) followed by the fluorescence staining of glycoprotein and mass spectrometry identification for the purpose of constructing glycoprotein databases of the typical human hepatocellular carcinoma cell lines including Hep3B cell line without metastasis and MHCC97H with highly metastatic potential as well as the control non-tumor Chang liver cell. 74 ± 2 (n = 3), 78 ± 3 (n = 3) and 72 ± 5 (n = 3) glycoprotein spots were detected on 2-DE gels from Chang liver, Hep3B and MHCC97H cell sample using this MP technique, respectively. In all, 80 glycoproteins from three cell lines were successfully identified via peptide mass profiling using MALDI-TOF-MS/MS and the identified glycoproteins were annotated to our databases. In addition, we also found the glycosylation pattern differences among these three cell lines. The protein glycosylation alteration would be have great significance for the diagnosis of HCC and prediction of its metastasis. This study described the construction of glycosylation patterns of proteins and glycoproteome databases of human liver cells by the novel technological platform. The glycoproteome databases also provide essential basis for following study.

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