|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.
|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.
|Expression Profiling of CD34+ of Peripheral Blood of Patients with Lymphoma During ex vivo Granulocytic Differentiation|
Irena Koutna, Lenka Tesarova, Martin Klabusay, Petr Krontorad, Michal Strehovsky, Martina Peterkova and Viera Hrabcakova
On the basis of global expression data analysis we have concluded that population of CD34+ cells from patients with lymphoma shows different expression status during ex-vivo differentiation. And thus we assume that CD34+ population is not suitable for autologous transplantation. We have used cDNA microarrays technology to obtained precise expression profiles.
|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).
|Antigen-Specific Delivery of siRNA Against Eucaryotic Elongation Factor 2 by Rationally Designed Bivalent Aptamer-siRNA Transcripts |
nga Neef, Ulrich Wüllner, Andreas Eller, Michael Kleines, Rainer Fischer, Mehmet Kemal Tur and Stefan Barth
Here we show specific cytotoxicity resulting from siRNA-induced silencing of EEF2, as well as specific delivery to PSMA-expressing prostate cancer cells. Increasing the valency of the aptamer resulted in enhanced cytotoxicity compared with the monovalent constructs. The results presented here demonstrate the usefulness of multivalent aptamer-based delivery vehicles for siRNA therapeutics.
|In silico Screening for Signalosome Inhibitors|
Melanie Füllbeck, Wolfgang Dubiel, Cornelius Frömmel, Andrean Goede and Robert Preissner
The COP9 signalosome (CSN) is involved in cell cycle regulation, possesses kinase activity and is therefore an interesting therapeutic target for anti-tumor drugs. Known inhibitors of the kinase activity exhibit low binding constants. Using them a 3D similarity screening for our in-house database is performed. The superposition algorithm enables the explicit consideration of conformers reflecting the structural flexibility.
|Large-scale Microarray Analysis of Protein and mRNA Level Changes in HL-60 Cells|
Pavel Simara, Irena Koutna, Stanislav Stejskal, Martina Peterkova, Petr Krontorad, Zdenek Rucka
In this study we compare methods for large-scale microarray analysis of protein and RNA level changes in HL-60 cells, responding to differentiation stimuli. Using microarrays we have found, that level of several proteins was either up- or down-regulated after cell differentiation. In some cases there was significant correlation with appropriate genes.
|Development of a Lab-on-a-Chip for the Characterization of Human Cells |
Richter, L., Stepper, C., Mak, A., Brückl, H. and Ertl, P.
Cell chips are developed to continuously monitor mammalian cell population dynamics in a non-invasive manner. In the presented work we describe the design, fabrication and characterization of a lab-on-a-chip for quantitative cell analysis.