The Role of Ras Oncogene in Differentiation of 3T3-L1 Preadipocytes

Ras is a proto-oncogene that codes for a small GTPase and is responsible for linking several extracellular signals to intracellular mechanisms that involve cell growth, differentiation and cell-programmed death in normal and diseased cells. In all these processes, Ras has been extensively investigated. However, the role of Ras GTPases is still poorly understood during the differentiation of 3T3-L1 preadipocytes. In this study I investigated the role of the H-Ras defective mutant, Ras:G12V on the differentiation of 3T3-L1 preadipocytes. Preadipocytes were differentiated in vitro to adipocytes (fat cells) by adding an induction medium containing several factors including glucose and insulin. The formation of fat cells evidenced by the visualization of lipid drops as well as by quantifying the accumulation of Oil red O into lipid drops. To examine the role of Ras:G12V mutant, several selective mutations were introduced in order to determine the signaling transduction pathways (i.e., PI3(K)kinase and MAP(K)Kinase) responsible for the Ras-dependent adipogenesis. Cells expressing Ras:G12V mutant stimulated 3T3-L1 preadipocyte differentiation without he need for induction media, suggesting that Ras activation is an essential factor required for 3T3-L1 preadipocyte differentiation. Introduction of a second mutation on Ras:G12V (i.e., Ras:G12V;E37G), which blocks the activation of the MAPKinase pathway, strongly inhibited the 3T3-L1 preadipocyte differentiation. It is also important to note Ras:G12V:E37G double mutant does not inhibit the activation of the PI3kinase pathway. Other Ras double mutants (Ras:G12V;S35T, and V12G;C40Y) showed a modest inhibition of the 3T3-L1 preadipocyte differentiation. Taken together, these observations indicate that Ras plays a selective role in 3T3-L1 preadipocyte differentiation. Thus, understanding which specific pathway Ras employs during preadipocyte differentiation could clarify some of the uncertainties surrounding fat production.

The potential role of environmental exposures and genomic signaling in development of central nervous system tumors

The etiology of central nervous system tumors (CNSTs) is mainly unknown. Aside from extremely rare genetic conditions, such as neurofibromatosis and tuberous sclerosis, the only unequivocally identified risk factor is exposure to ionizing radiation, and this explains only a very small fraction of cases. Using meta-analysis, gene networking and bioinformatics methods, this dissertation explored the hypothesis that environmental exposures produce genetic and epigenetic alterations that may be involved in the etiology of CNSTs. A meta-analysis of epidemiological studies of pesticides and pediatric brain tumors revealed a significantly increased risk of brain tumors among children whose mothers had farm-related exposures during pregnancy. A dose response was recognized when this risk estimate was compared to those for risk of brain tumors from maternal exposure to non-agricultural pesticides during pregnancy, and risk of brain tumors among children exposed to agricultural activities. Through meta-analysis of several microarray studies which compared normal tissue to astrocytomas, we were able to identify a list of 554 genes which were differentially expressed in the majority of astrocytomas. Many of these genes have in fact been implicated in development of astrocytoma, including EGFR, HIF-1α, c-Myc, WNT5A, and IDH3A. Reverse engineering of these 554 genes using Bayesian network analysis produced a gene network for each grade of astrocytoma (Grade I-IV), and ‘key genes’ within each grade were identified. Genes found to be most influential to development of the highest grade of astrocytoma, Glioblastoma multiforme (GBM) were: COL4A1, EGFR, BTF3, MPP2, RAB31, CDK4, CD99, ANXA2, TOP2A, and SERBP1. Lastly, bioinformatics analysis of environmental databases and curated published results on GBM was able to identify numerous potential pathways and geneenvironment interactions that may play key roles in astrocytoma development. Findings from this research have strong potential to advance our understanding of the etiology and susceptibility to CNSTs. Validation of our ‘key genes’ and pathways could potentially lead to useful tools for early detection and novel therapeutic options for these tumors.