924 resultados para Probe Vehicles
Resumo:
Signatur des Originals: S 36/F05748
Resumo:
Signatur des Originals: S 36/F07792
Resumo:
Signatur des Originals: S 36/F07992
Resumo:
Signatur des Originals: S 36/F07814
Resumo:
Interactions between neoplastic cells and the host stroma play a role in both tumor cell migration and proliferation. Stromal cells provide structural support for malignant cells, modulate the tumor microenvironment, and influence phenotypic behavior as well as the aggressiveness of the malignancy. In response, the tumor provides growth factors, cytokines, and cellular signals that continually initiate new stromal reactions and recruit new cells into the microenvironment to further support tumor growth. Since growing tumors recruit local cells, as well as supplemental cells from the circulation, such as fibroblasts and endothelial precursors, the question arises if it would be possible to access circulating stromal cells to modify the tumor microenvironment for therapeutic benefits. One such cell type, mesenchymal stem cells (MSC), could theoretically be engrafted into stroma. MSC are pluripotent cells that have been shown to form stromal elements such as myofibroblasts, perivascular tissues and connective tissues. Several reports have demonstrated that MSC can incorporate into sites of wound healing and tissue repair, due to active tissue remodeling and local paracrine factors, and given the similarity between wound healing and the carcinoma induced stromal response one can hypothesize that MSC have the potential to be recruited to sites of tumor development. In addition, gene-modified MSC could be used as cellular vehicles to deliver gene products into tumors. My results indicate that MSC home to and participate in tumor stroma formation in ovarian tumor xenografts in mice. Additionally, once homed to tumor beds, MSC proliferate rapidly and integrate. My studies aim at understanding the fate of MSC in the tumor microenvironment, as well as utilizing them for cellular delivery of therapeutic genes into the stroma of ovarian carcinomas. ^
Resumo:
Mechanisms that allow pathogens to colonize the host are not the product of isolated genes, but instead emerge from the concerted operation of regulatory networks. Therefore, identifying components and the systemic behavior of networks is necessary to a better understanding of gene regulation and pathogenesis. To this end, I have developed systems biology approaches to study transcriptional and post-transcriptional gene regulation in bacteria, with an emphasis in the human pathogen Mycobacterium tuberculosis (Mtb). First, I developed a network response method to identify parts of the Mtb global transcriptional regulatory network utilized by the pathogen to counteract phagosomal stresses and survive within resting macrophages. As a result, the method unveiled transcriptional regulators and associated regulons utilized by Mtb to establish a successful infection of macrophages throughout the first 14 days of infection. Additionally, this network-based analysis identified the production of Fe-S proteins coupled to lipid metabolism through the alkane hydroxylase complex as a possible strategy employed by Mtb to survive in the host. Second, I developed a network inference method to infer the small non-coding RNA (sRNA) regulatory network in Mtb. The method identifies sRNA-mRNA interactions by integrating a priori knowledge of possible binding sites with structure-driven identification of binding sites. The reconstructed network was useful to predict functional roles for the multitude of sRNAs recently discovered in the pathogen, being that several sRNAs were postulated to be involved in virulence-related processes. Finally, I applied a combined experimental and computational approach to study post-transcriptional repression mediated by small non-coding RNAs in bacteria. Specifically, a probabilistic ranking methodology termed rank-conciliation was developed to infer sRNA-mRNA interactions based on multiple types of data. The method was shown to improve target prediction in Escherichia coli, and therefore is useful to prioritize candidate targets for experimental validation.