GeneFriends: An online co-expression analysis tool to identify novel gene targets for aging and complex diseases

• Main Authors: van Dam Sipko, Cordeiro Rui, Craig Thomas, van Dam Jesse, Wood Shona H, de Magalhães João
• Format: Article
• Language: English
• Published: BMC 2012-10-01
• Series: BMC Genomics
• Subjects: Aging; Cancer; Functional genomics; Mitochondrial disease; Network biology
• Online Access: http://www.biomedcentral.com/1471-2164/13/535

<p>Abstract</p> <p>Background</p> <p>Although many diseases have been well characterized at the molecular level, the underlying mechanisms are often unknown. Nearly half of all human genes remain poorly studied, yet these genes may contribute to a number of disease processes. Genes involved in common biological processes and diseases are often co-expressed. Using known disease-associated genes in a co-expression analysis may help identify and prioritize novel candidate genes for further study.</p> <p>Results</p> <p>We have created an online tool, called GeneFriends, which identifies co-expressed genes in over 1,000 mouse microarray datasets. GeneFriends can be used to assign putative functions to poorly studied genes. Using a seed list of disease-associated genes and a guilt-by-association method, GeneFriends allows users to quickly identify novel genes and transcription factors associated with a disease or process. We tested GeneFriends using seed lists for aging, cancer, and mitochondrial complex I disease. We identified several candidate genes that have previously been predicted as relevant targets. Some of the genes identified are already being tested in clinical trials, indicating the effectiveness of this approach. Co-expressed transcription factors were investigated, identifying C/ebp genes as candidate regulators of aging. Furthermore, several novel candidate genes, that may be suitable for experimental or clinical follow-up, were identified. Two of the novel candidates of unknown function that were co-expressed with cancer-associated genes were selected for experimental validation. Knock-down of their human homologs (C1ORF112 and C12ORF48) in HeLa cells slowed growth, indicating that these genes of unknown function, identified by GeneFriends, may be involved in cancer.</p> <p>Conclusions</p> <p>GeneFriends is a resource for biologists to identify and prioritize novel candidate genes involved in biological processes and complex diseases. It is an intuitive online resource that will help drive experimentation. GeneFriends is available online at: <url>http://genefriends.org/</url>.</p>