Bioinformatics approaches for cross-species liver cancer analysis based on microarray gene expression profiling

Background: The completion of the sequencing of human, mouse and rat genomes and knowledge of cross-species gene homologies enables studies of differential gene expression in animal models. These types of studies have the potential to greatly enhance our understanding of diseases such as liver cancer in humans. Genes co-expressed across multiple species are most likely to have conserved functions. We have used various bioinformatics approaches to examine microarray expression profiles from liver neoplasms that arise in albumin-SV40 transgenic rats to elucidate genes, chromosome aberrations and pathways that might be associated with human liver cancer. Results: In this study, we first identified 2223 differentially expressed genes by comparing gene expression profiles for two control, two adenoma and two carcinoma samples using an F-test. These genes were subsequently mapped to the rat chromosomes using a novel visualization tool, the Chromosome Plot. Using the same plot, we further ma...

• Type: Journal
• Year: 2005
• Where: BMCBI
• Authors: Hong Fang, Weida Tong, Roger Perkins, Leming M. Shi, Huixiao Hong, X. Cao, Qian Xie, S. H. Yim, J. M. Ward, Henry C. Pitot, Yvonne P. Dragan
• Keywords: BMCBI 2005, Human, Human Liver Cancer, Liver Cancer