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Hepatocellular carcinoma (HCC) is a highly malignant tumor, and chronic infection with hepatitis B virus is one of its major risk factors. To identify the proteins involved in HCC carcinogenesis, we used two-dimensional fluorescence DIGE to study the differentially expressed proteins in tumor and adjacent nontumor tissue samples. Samples from 12 hepatitis B virus-associated HCC patients were analyzed. A total of 61 spots were significantly up-regulated (ratio > 2, p < 0.01) in tumor samples, whereas 158 spots were down-regulated (ratio < ؊2, p < 0.01). Seventyone gene products were identified among these spots. Members of the heat shock protein 70 and 90 families were simultaneously up-regulated, whereas metabolismassociated proteins were decreased in HCC samples. The down-regulation of mitochondrial and peroxisomal proteins in these results suggested loss of special organelle functions during HCC carcinogenesis. Four metabolic enzymes involved in the methylation cycle in the liver were down-regulated in HCC tissues, indicating S-adenosylmethionine deficiency in HCC. Two gene products, glyceraldehyde-3-phosphate dehydrogenase and formimidoyltransferase-cyclodeaminase, were identified from inversely altered spots, suggesting that different isoforms or post-translational modifications of these two proteins might play different roles in HCC. For the first time, the overexpression of Hcp70/Hsp90-organizing protein and heterogeneous nuclear ribonucleoproteins C1/C2 in HCC tissues was confirmed by Western blot and then by immunohistochemistry staining in 70 HCC samples, suggesting their potential as protein tumor markers. In summary, we profiled proteome alterations in HCC tissues, and these results may provide useful insights for understanding the mechanism involved in the process of Proteomics analysis is currently considered to be a powerful tool for global evaluation of protein expression, and proteomics has been widely applied in analysis of diseases, especially in fields of cancer research. Quantitative protein expression profiling is a crucial part of proteomics, and such profiling requires methods that are able to efficiently provide accurate and reproducible differential expression values for proteins in two or more biological samples. Two-dimensional electrophoresis (2DE) 1 was a technique that was widely used for proteomics research. However, intergel variation and excessive time/labor costs have been common problems with standard 2DE. Two-dimensional (2D) DIGE might therefore be considered as one of the most significant advances in quantitative proteomics. Using the 2D DIGE approach, different samples prelabeled with mass-and charge-matched fluorescent cyanine dyes are co-separated in the same 2D gel, and an internal standard is used in every gel that has negated the problem of intergel variation (1). Moreover with the great sensitivity and dynamic range that is afforded by these dyes, 2D DIGE can give greater accuracy of quantitation than silver staining (2). It has been reported that the correlation betw...

It becomes increasingly clear that separation of pure cell populations provides a uniquely sensitive and accurate approach to protein profiling in biological systems and opens up a new area for proteomic analysis. The method we described could simultaneously isolate population of hepatocytes (HCs), hepatic stellate cells (HSCs), Kupffer cells (KCs) and liver sinusoidal endothelial cells (LSECs) by a combination of collagenase-based density gradient centrifugation and magnetic activated cell sorting with high purity and yield for the first time. More than 98% of the isolated HCs were positive for cytokeratin 18, with a viability of 91%. Approximately 97% of the isolated HSCs expressed glial fibrillary acidic protein with a viability of 95%. Nearly 98% of isolated KCs expressed F4/80 with a viability of 94%. And the purity of LSECs reached up to 91% with a viability of 94%. And yield for HCs, HSCs, LSECs and KCs were 6.3, 1.3, 2.6 and 5.0 million per mouse. This systematic isolation method enables us to study the proteome profiling of different types of liver cells with high purity and yield, which is especially useful for sample preparation of Human Liver Proteome Project.

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Parenchymatous organs consist of multiple cell types, primarily defined as parenchymal cells (PCs) and nonparenchymal cells (NPCs). The cellular characteristics of these organs are not well understood. Proteomic studies facilitate the resolution of the molecular details of different cell types in organs. These studies have significantly extended our knowledge about organogenesis and organ cellular composition. Here, we present an atlas of the cell-type-resolved liver proteome. In-depth proteomics identified 6000 to 8000 gene products (GPs) for each cell type and a total of 10,075 GPs for four cell types. This data set revealed features of the cellular composition of the liver: (1) hepatocytes (PCs) express the least GPs, have a unique but highly homogenous proteome pattern, and execute fundamental liver functions; (2) the division of labor among PCs and NPCs follows a model in which PCs make the main components of pathways, but NPCs trigger the pathways; and (3) crosstalk among NPCs and PCs maintains the PC phenotype. This study presents the liver proteome at cell resolution, serving as a research model for dissecting the cell type constitution and organ features at the molecular level.