|New Protein Biomarkers for Histopathological Classification of Breast Cancer |
Brozkova Kristyna, Knoflickova Dana, Bouchal Pavel, Nenutil Rudolf and Vojtesek Borivoj
We used Ciphergen technology based on SELDI TOF-MS (Surface Enhanced Laser Desorption/Ionisation Time-of-Flight Mass Spectrometry) for analysis of protein expression profiles of 105 breast cancer tissue samples. The aim of this study was the identification of single proteins or protein patterns specific for different tumour subgroups, which should take advantage of the biomarker as an alternative to commonly used diagnostic and prognostic characteristics.
|Two-Dimensional Molecular Profiling of Multiple Myeloma |
Zelena Jana, Konecna Hana, Zdrahal Zbynek, Penka Miroslav and Hajek Roman
We have compared two different solubilization buffers, we also evaluated protein precipitation with ethanol and optimized 2-DE conditions for human myeloma proteins.
|Proteomic Approach to Identify Stage Specific Biomarkers in Streptozotocin Induced Diabetic Nephropathy|
Vikram Sharma and Kulbhushan Tikoo
The presence of albumin in the urine of healthy subjects presents a stumbling block in diagnostics putting a question mark on the validity of albumin test for the detection of diabetic nephropathy. Therefore there arises a dire need to hunt for the proteins in the pertinent bio- fluids which can serve as biomarkers.
|2-DE Analysis of Breast Cancer Cell Lines MDA-1833 and MDA-4175 with Distinct Metastatic Organ-Specific Potentials and Comparison with Parental Cell Line MDA-MB-231|
Irena Selicharová, Miloslav Šanda, Lucia Svitekova, Sujata Suraswat Ohri, Aruna Vashishta, Martin Fusek and Václav Vetvicka
Breast cancer has diverse metastatic behavior. Subpopulations of cells with enhanced metastatic abilities either to bone (1833) or to lung (4175) have been isolated by the group of J. Massague by in vivo selection of MDA-MB-231 cells. We performed the 2-DE analysis of the cell lines. We have found and identified 11 differentially expressed protein spots.
|Detection of Protein-Protein Interactions of the Corepressor Alien |
Robert Kob, Niko Escher, Juliane Kelm, Aria Baniahmad, Ferdinand von Eggeling and Christian Melle
The correpressor Alien is shown to interact with several proteins involved in regulation of transcription, DNA repair and cell cycle. Furthermore we found E2F1 transcription to be downregulated by Alien overexpression.
|Whole Body Endogenous Nitric Oxide Production in Patients with Decompensated Liver Disease|
Demoncheaux E., Elphick D.A., Dürner M.B., Higgins G.E., Crowther D., Williams E.J., Higenbottam T.W and Gleeson D
Increased nitric oxide (NO) production has been implicated in the pathogenesis of the hyperdynamic circulation found in patients with advanced liver disease. There were no differences between patients with liver disease and controls with regard whole body NO production. Our results, in a well characterised set of patients, argue against greater basal NOS-dependent whole body NO production in patients with decompensated liver disease.
|MS-Xelerator™: Advanced Algorithms for LC/MS Data Processing Applied to Biomarker Discovery, Differential Analysis and Quantitative Proteomics|
LC-MS based proteomic experiments are used to compare complex biological samples across multiple conditions. Fast, powerful computational tools are needed to explore and detect differences in the areas of Expression Proteomics and Biomarker Discovery. In general, specialized steps are necessary to solve these difficult problems (binning, alignment & normalization, peak picking, relative quantitation, etc.). MS-Xelerator is a collection of software tools dedicated to all of the above tasks.
|Caveolin-1 Expression as a Possible Biomarker in Pancreatic Cancer Diagnosis|
C. Tanase, E. Raducan, L. Albulescu, E. Codorean, M.I. Nicolescu, D.I. Popescu, M.L. Cruceru and A.C. Popa
Caveolin1 (Cav-1) function either as a tumor supressor or as a promoter of metastasis. Overexpresion of cav-1 was correlated with: tumoral grading, proliferration markers (Ki67, p53), serum tumor markers (CEA, CA19.9) and angiogenic markers (VEGF, bFGF).
|Challenges and Considerations for Building an Automated Method Development System|
Margaret Antler, Michael McBrien, Andrey Vazhentsev and Vadim Tashlitsky
Automated chromatographic method development systems have been offered for a number of years, with varying degrees of effectiveness. A new system for automated method development, ACD/AutoChrom, is currently under development, and addresses some of the weaknesses of earlier configurations. AutoChrom uses both UV-Visible and MS detection to unequivocally track and resolve trace components, performing a chemometric evaluation of these detection techniques.