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

被引:56
作者
van Dam, Sipko [1 ]
Cordeiro, Rui [1 ]
Craig, Thomas [1 ]
van Dam, Jesse
Wood, Shona H. [1 ]
de Magalhaes, Joao Pedro [1 ]
机构
[1] Univ Liverpool, Inst Integrat Biol, Integrat Genom Ageing Grp, Liverpool L69 7ZB, Merseyside, England
基金
英国生物技术与生命科学研究理事会; 英国惠康基金;
关键词
Aging; Cancer; Functional genomics; Mitochondrial disease; Network biology; POTENTIAL SERUM MARKER; BINDING-PROTEIN; I DEFICIENCY; EXPRESSION PROFILES; CDC25; PHOSPHATASES; ANTICANCER AGENTS; KNOCKOUT MICE; CANCER-CELLS; CATHEPSIN-C; CENP-A;
D O I
10.1186/1471-2164-13-535
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Background: 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. Results: 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. Conclusions: 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: http://genefriends.org/.
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页数:14
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