|Expression of stress response protein GRP78 is associated with the development of castration-resistant prostate cancer|
Llana Pootrakul, Anirban P. Mitra, Ram H. Datar, Shan-Rong Shi, Jie Cai, Debra Hawes, Susan G. Groshen, Amy S. Lee, Richard J. Cote
This study investigated the role of the GRP78 in prostate cancer progression and the development of castration-resistant prostate cancer, where cancer cells continue to survive despite the stress of an androgen-starved environment.
|Application of genetic programming in analysis of quantitative gene expression profiles for identification of nodal status in bladder cancer|
Anirban P. Mitra, Arpit A. Almal, Ben George, David W. Fry, Peter F. Lenehan, Vincenzo Pagliarulo, Richard J. Cote, Ram H. Datar, William P. Worzel
Nodal involvement in bladder cancer is an independent indicator of prognosis. This study employed an iterative machine learning process called genetic programming on quantitative expression values of 70 genes to classify primary urothelial carcinoma samples into those associated with or without nodal metastasis. The generated rules showed a strong predilection for ICAM1, MAP2K6 and KDR resulting in gene expression motifs that cumulatively suggested a pattern ICAM1>MAP2K6>KDR for node positive ca
|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.
|The Silencing of Multidrug Resistance-Associated Protein 5 by siRNA Complexes|
M.Malinen, E.Mannermaa, T.Ryhänen, E.Kuusela, M.Häkli, M.Yliperttula and A.Urtti
The purpose is to study the role of multidrug resistance-associated protein 5, MRP5 in drug metabolism in human retinal pigment epithelium (RPE). RPE forms the outer part of blood-retinal barrier (BRB) which restricts movements of solutes from systemic bloodstream to the neural retina. The efflux protein, MPR5 is expressed in RPE but its functions are mainly unknown. SiRNA will be tested as a tool to clarify the role of MRP5.
|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).