title: [Estimating coarse gene networks from yeast gene expression time series].
abstract: Gene networks is the collection of gene-gene regulatory relations at the expression level. In this study, a combined approach of the linear transcriptional modeling, identification of promoter elements and gene co-expression clustering is developed to decipher yeast gene networks from expression time series. The cell must reorganize the genomic expression to programs required for growth and survival in each environment. The expression of many genes is regulated by environmental stress. The products of many genes that induced in the environmental stress are involved in metabolism of carbohydrates, structural repairs and even sporulation. Interestingly, it is identified that transcription factors Mcm1 and Dal82 matched their binding sites TT[bond]CC[triple bond]T[double bond]GGAAA and TGAAAAWTTT in cell cycle progression and environmental stress response, respectively. These conclusions agree with the known observations. The results indicate that the approach may be useful for modeling gene networks from microarray data.
authors.affiliation: Key Laboratory of Proteomics, Institute of Biochemistry and Cell Biology, Shanghai Institutes for Biological Sciences, the Chinese Academy of Sciences, Shanghai 200031, China.
authors.forename: Xiao-Jiang
authors.initials: XJ
authors.lastname: Xu
authors.forename: Lian-Shui
authors.initials: LS
authors.lastname: Wang
authors.forename: Da-Fu
authors.initials: DF
authors.lastname: Ding
mesh_terms: D002453:Cell Cycle / Q000235:genetics; D015966:Gene Expression Regulation, Fungal; D005800:Genes, Fungal; D006358:Hot Temperature; D006861:Hydrogen Peroxide / Q000494:pharmacology; D005810:Multigene Family; D015003:Yeasts / Q000235:genetics*
chemical_list: D006861:Hydrogen Peroxide