title: Computational inference of transcriptional regulatory networks from expression profiling and transcription factor binding site identification.
abstract: We have developed a computational method for transcriptional regulatory network inference, CARRIE (Computational Ascertainment of Regu latory Relationships Inferred from Expression), which combines microarray and promoter sequence analysis. CARRIE uses sources of data to identify the transcription factors (TFs) that regulate gene expression changes in response to a stimulus and generates testable hypotheses about the regulatory network connecting these TFs to the genes they regulate. The promoter analysis component of CARRIE, ROVER (Relative OVER-abundance of cis-elements), is highly accurate at detecting the TFs that regulate the response to a stimulus. ROVER also predicts which genes are regulated by each of these TFs. CARRIE uses these transcriptional interactions to infer a regulatory network. To demonstrate our method, we applied CARRIE to six sets of publicly available DNA microarray experiments on Saccharomyces cerevisiae. The predicted networks were validated with comparisons to literature sources, experimental TF binding data, and gene ontology biological process information.
authors.affiliation: Bioinformatics Program, Boston University, 44 Cummington Street, Boston, MA 02215, USA.
authors.forename: Peter M
authors.initials: PM
authors.lastname: Haverty
authors.forename: Ulla
authors.initials: U
authors.lastname: Hansen
authors.forename: Zhiping
authors.initials: Z
authors.lastname: Weng
mesh_terms: D001665:Binding Sites; D002843:Chromatin / Q000235:genetics / Q000378:metabolism; D019295:Computational Biology / Q000379:methods*; D020869:Gene Expression Profiling; D015966:Gene Expression Regulation, Fungal; D020411:Oligonucleotide Array Sequence Analysis; D011401:Promoter Regions, Genetic / Q000235:genetics; D015203:Reproducibility of Results; D020218:Response Elements / Q000235:genetics*; D012441:Saccharomyces cerevisiae / Q000235:genetics* / Q000378:metabolism; D029701:Saccharomyces cerevisiae Proteins / Q000378:metabolism; D012984:Software; D014157:Transcription Factors / Q000378:metabolism*; D014158:Transcription, Genetic
chemical_list: D002843:Chromatin; D029701:Saccharomyces cerevisiae Proteins; D014157:Transcription Factors