Tuyển tập các báo cáo nghiên cứu về sinh học được đăng trên tạp chí sinh học Journal of Biology đề tài: Co-regulation of mouse genes predicts function. | J. Biol. Journal of Biology BioMed Central Research news Co-regulation of mouse genes predicts function Jonathan B Weitzman Published 6 December 2004 Journal of Biology 2004 3 19 The electronic version of this article is the complete one and can be found online at http content 3 5 19 2004 BioMed Central Ltd Large-scale microarray analyses reveal that transcriptional co-regulation patterns can be remarkably helpful in predicting the function of novel mouse genes. Every eukaryotic genome-sequencing project to date has revealed the presence of thousands of novel predicted genes. Researchers interested in functional genomics now face some formidable challenges defining how many unknown genes are yet to be discovered and working out what they do. Now in Journal of Biology 1 Timothy Hughes and colleagues show that techniques that were first applied to yeast can be used to predict gene function in mice see The bottom line box for a summary of the work . Hughes became something of a microarray aficionado during his postdoc at Rosetta Inpharmatics LLC in Seattle USA. He and his colleagues there demonstrated that a careful combination of genome-wide microarray analysis of gene expression patterns and sophisticated statistical methods could be used to predict gene function. Specifically they showed that patterns of transcriptional co-regulation could effectively predict the biological function of novel genes 2 . But those impressive studies were performed in a unicellular yeast which has around 6 000 genes in total. It wasn t clear how well the approach would fare with larger mammalian genomes and the complexity of multicellular organisms. When Hughes moved to the University of Toronto Canada he was eager to give it a try. Mark Gerstein of Yale University says that the Hughes study has tackled an important problem in functional genomics That is translating ideas that were found applicable in The bottom line Genome-wide studies of gene expression in yeast using .
