Project description:We have employed whole genome microarray expression profiling as a discovery platform to identify genes that are associated with pathogenesis of ameloblastoma using ameloblastoma tumor and corresponding normal counterpart from patients.
Project description:To investigate the minimal genomic alterations in ameloblastoma, we have employed high-resolution CGH as a discovery platform to identify somatic genomic gains and losses in ameloblastoma tumors.
Project description:The aim of the study was to characterise the transcriptome profile of ameloblastoma in order to identify relevant genes involved in its pathogenesis by carrying out high-throughput gene expression.
Project description:The goal of the study was to characterize the whole genome transcriptome profiles of pure sample population of human ameloblastoma epithelial cells for examination of molecular pathways. Seventeen human ameloblastoma samples were obtained. Both fresh frozen and FFPE samples were used and placed in solution for 1-4 weeks to allow decalcification by EDTA. The tissue was sectioned at -35C at a thickness of 7 microns. These sections were used for laser capture microdissection (LCM) to isolate the neoplastic epithelial portion of the tumors, using static image settings. Total RNA was extracted from each sample and examined using the whole genome microarray against the Stratagene universal human reference RNA.