The BPP (protein biochemistry and proteomics) two-dimensional electrophoresis database

Proteomics in hematologic malignancies

Basic science research in hematology has been determining the functions of gene products using classical approaches that typically involve studying one or a few genes at a time. Proteomics, defined as the study of protein properties on a large scale, provides tools to globally analyze malignant hematologic cells. A major challenge in cancer therapy is the identification of drugs that kill tumor cells while preserving normal cells. Differential display via proteomics enables analysis of direct as well as side-effects of drugs at a molecular level. Proteomics also allows a better understanding of cell signaling pathways involved during apoptosis in hematologic cells. Storing the information in a 2D electrophoresis database enhances the efficiency of proteome research on malignant cells. Finally, the work needed to be carried out on proteomic analysis prior to routine clinical adoption is discussed, and the necessity for multi-institutional collaborations is emphasized.

Proteomic map and database of lymphoblastoid proteins

Advances in genomics have led to the accumulation of an unprecedented amount of data, giving rise to a new field in biochemistry, proteomics. We used a combination of two dimensional gel electrophoresis, analysis and annotation using third-generation software, and mass spectrometry to establish the proteome maps of lymphoblastoid B-cells, a prerequisite for analysis of drug effects and lymphocyte cell diseases. About 1200 protein spots were detected and characterised in terms of their isoelectric point, molecular mass and expression. The present status of proteomic technologies, as well as a description of the usefulness of human hematopoietic cells proteomic database are discussed.

Two-dimensional database of a Burkitt lymphoma cell line (DG 75) proteins: protein pattern changes following treatment with 5'-azycytidine

Hypermethylation is an important mechanism for repression of tumor gene suppressor in cancer. The drug 5'-azacytidine (AZC) has been used as demethylating agent to induce the expression of previously silencing genes. In the present work, we attempted to determine, using proteomics, the changes in protein expression profiles following a treatment of an Epstein Barr virus (EBV)-negative Burkitt lymphoma (BL) cell line DG 75. The effects of the treatment in terms of cell viability and growth were first examined. The following observations were made: AZC treatment led to (i) a decrease in cell growth with an arrest of the cell at G0/G1 phase of the cell cycle, (ii) the expression of p16, a tumor-suppressor gene whose expression was dependent on its promoter demethylation. Proteomic study evidenced that AZC treatment affected protein expression in two different ways. Twenty-one polypeptides were down-expressed, while 14 showed an increased expression. Some of the upregulated proteins appeared related to the energy metabolism, to organization of cytoskeletal structures, and to cell viability and protein synthesis. We also established a reference map for proteins in DG 75 cell line, comprising 74 different polypeptides corresponding to 67 proteins. This map will be accessible via Internet as a resource for proteome analyses of B-cells. Taken together, the results presented here highlight new insights into lymphoma cell gene regulations following a treatment of lymphoma cells with AZC and illustrate a use of proteomics to evidence the direct and indirect effects of a drug and the pathways it possibly regulates.

Two-dimensional database of a Burkitt lymphoma cell line (DG 75) proteins: protein pattern changes following treatment with 5'-azycytidine

Hypermethylation is an important mechanism for repression of tumor gene suppressor in cancer. The drug 5'-azacytidine (AZC) has been used as demethylating agent to induce the expression of previously silencing genes. In the present work, we attempted to determine, using proteomics, the changes in protein expression profiles following a treatment of an Epstein Barr virus (EBV)-negative Burkitt lymphoma (BL) cell line DG 75. The effects of the treatment in terms of cell viability and growth were first examined. The following observations were made: AZC treatment led to (i) a decrease in cell growth with an arrest of the cell at G0/G1 phase of the cell cycle, (ii) the expression of p16, a tumor-suppressor gene whose expression was dependent on its promoter demethylation. Proteomic study evidenced that AZC treatment affected protein expression in two different ways. Twenty-one polypeptides were down-expressed, while 14 showed an increased expression. Some of the upregulated proteins appeared related to the energy metabolism, to organization of cytoskeletal structures, and to cell viability and protein synthesis. We also established a reference map for proteins in DG 75 cell line, comprising 74 different polypeptides corresponding to 67 proteins. This map will be accessible via Internet as a resource for proteome analyses of B-cells. Taken together, the results presented here highlight new insights into lymphoma cell gene regulations following a treatment of lymphoma cells with AZC and illustrate a use of proteomics to evidence the direct and indirect effects of a drug and the pathways it possibly regulates.