Mollicutes (mycoplasmas) are pathogenic in a wide range of mammals (including humans), reptiles, fish, arthropods, and plants. Of the medically important mollicutes, Mycoplasma gallisepticum is of particular relevance to avian agriculture and veterinary science, causing chronic respiratory disease in poultry and turkey. Using two-dimensional electrophoresis based quantitative expression proteomics, the current study investigated the molecular mechanisms behind the phenotypic variability between a M. gallisepticum vaccine strain (6/85) and a competitive, virulent field strain (K5234), two strains which were indistinguishable using commonly accepted genetic methods of identification. Twenty-nine proteins showed a significant variation in abundance (fold change > 1.5, p-value < 0.01). Among others, the levels of putative virulence determinants were increased in the virulent K5234, while the levels of several proteins involved with pyruvate metabolism were decreased. It is hoped that the data generated will further the understanding of M. gallisepticum virulence determinants and mechanisms of infection, and that this may contribute to the optimization of diagnostic methodologies and control strategies.

This work is concerned with the characterization of mesenchymal stem cells (MSC) specifically from bone marrow samples derived from patients with osteoarthritis (OA). The multilineage potential of mesenchymal stem cells as well as their ease of exvivo expansion makes these cells an attractive therapeutic tool for applications such as autologous transplantation and tissue engineering. Bone marrow is considered a source of MSC. However, there is a general assumption that the occurrence of MSCs and their activity in bone marrow diminishes with age and disease. This prompted us to isolate and identify multipotential and self-renewing cells from patients with the degenerative disease osteoarthritis, with the view of using these cells for autologous cell therapies. It is therefore of great potential benefit to investigate the isolation and characterization of stem cell/progenitors from bone marrow samples of patients with osteoarthritis in greater detail. We employed a single cell clone culture method in order to develop clonal cell populations from three bone marrow samples and characterized them based on their proliferation and differentiation capabilities. The clonal populations were grouped into fast-growing and slow-growing clones based on their proliferation rates. The fastgrowing clones displayed 20-30% greater proliferation rate than the slow-growing clones. The study also revealed that the proliferation rates were directly proportional to their differentiation capacities. Most of the fast-growing clones were found to be tripotential for osteogenic, chondrogenic and adipogenic lineages, whereas the slow growing clones were either uni or bipotential. Flow cytometry analysis for the phenotype determination using putative MSC surface markers did not reveal any difference between the two clonal populations indicating a need for further molecular studies. Two approaches were employed to further investigate the molecular processes involved in the existence of such varying populations. In the first method gene expression studies were performed between the fast-growing (n=3) and slow-growing (n=3) clonal populations to identify potential genetic markers associated with cell 'sternness' using the Stem Cell RT2 ProfilerTM PCR Array comprising a series of 84 genes related to stem cell pathways. Ten genes were identified to be commonly and significantly over represented in the fast-growing stem cell clones when compared to slow-growing clones. This included expression of transcripts beyond MSC lineage specification such as SOX2, NOTCH1 and FOXA2 which signified that stem cell maintenance requires a coordinated regulation by multiple signalling pathways. The second study involved an extensive protein expression profiling of the fast growing (n=2) and slow growing (n=2) clonal populations using off-line Two Dimensional Liquid Chromatography (2D-LC)/Matrix-Assisted Laser Desorption/Ionization (MALDI) Mass Spectrometry (MS). A total of 67 proteins were identified, of which 11 were expressed at significantly different levels between the subpopulations. Protein ontology revealed these proteins to be associated with cellular organization, cytokinesis, signal transduction, energy pathways and cell stress response. Of particular interest was the differential presentation of the proteins calmodulin, tropomyosin and caldesmon between fast- and slow-growing clones. Based on their reported roles in the regulation of cell proliferation and maintenance of cell integrity, we draw an association between their expression and the altered status in which the subpopulations exist. Based on our observations, these proteins may be prospective molecular markers to distinguish between the fast-growing and slow-growing subpopulations. In summary, this study demonstrated the existence of potential stem cells of therapeutic importance in spite of a supposedly smaller stem cell compartment in patients with osteoarthritis. Furthermore, the differentially expressed genes between the sub-populations highlight the 'sternness' of the potential clones, an observation supported by the expression of proteins which act as effective modulators in the maintenance of cell integrity and cell cycle regulation. This study provides a basis for more detailed investigations in search of selective cell surface markers

Proteomics is a set of analytical methods which enable qualitative and quantitative characterization of the proteome. Expression proteomics quantitatively compares proteomes of cells, tissues, body fluids or other biological materials to find differencies in protein expression and, based on these differencies, to describe the biological processes occuring in investigated organisms. An initial material for expression proteomic studies are complex mixtures containing thousands of proteins, which are analyzed using separation (electrophoretic and chromatographic) methods, and identified, possibly quantified using mass spectrometry. The aim of this Thesis is to demonstrate the application of the tools of expression proteomics in solving diverse challenges in biomedicine. We employed various proteomic approaches and tools for studying molecular mechanisms of human diseases using pacient biological samples, or a model organism and a cell culture. We were conducting three different research projects, namely: A quest for potencial molecular targets for selective elimination of TRAIL-resistant mantle cell lymphoma cells; Investigation of molecular mechanisms of heart failure using a rat model of the disease induced by volume overload; and Searching for diagnostically usable serum biomarkers of ovarian...

Proteomics is a set of analytical methods which enable qualitative and quantitative characterization of the proteome. Expression proteomics quantitatively compares proteomes of cells, tissues, body fluids or other biological materials to find differencies in protein expression and, based on these differencies, to describe the biological processes occuring in investigated organisms. An initial material for expression proteomic studies are complex mixtures containing thousands of proteins, which are analyzed using separation (electrophoretic and chromatographic) methods, and identified, possibly quantified using mass spectrometry. The aim of this Thesis is to demonstrate the application of the tools of expression proteomics in solving diverse challenges in biomedicine. We employed various proteomic approaches and tools for studying molecular mechanisms of human diseases using pacient biological samples, or a model organism and a cell culture. We were conducting three different research projects, namely: A quest for potencial molecular targets for selective elimination of TRAIL-resistant mantle cell lymphoma cells; Investigation of molecular mechanisms of heart failure using a rat model of the disease induced by volume overload; and Searching for diagnostically usable serum biomarkers of ovarian...