title: Epistasis analysis with global transcriptional phenotypes.
abstract: Classical epistasis analysis can determine the order of function of genes in pathways using morphological, biochemical and other phenotypes. It requires knowledge of the pathway's phenotypic output and a variety of experimental expertise and so is unsuitable for genome-scale analysis. Here we used microarray profiles of mutants as phenotypes for epistasis analysis. Considering genes that regulate activity of protein kinase A in Dictyostelium, we identified known and unknown epistatic relationships and reconstructed a genetic network with microarray phenotypes alone. This work shows that microarray data can provide a uniform, quantitative tool for large-scale genetic network analysis.
authors.affiliation: Department of Molecular and Human Genetics, Baylor College of Medicine, One Baylor Plaza, Houston, Texas 77030, USA.
authors.forename: Nancy
authors.initials: N
authors.lastname: Van Driessche
authors.forename: Janez
authors.initials: J
authors.lastname: Demsar
authors.forename: Ezgi O
authors.initials: EO
authors.lastname: Booth
authors.forename: Paul
authors.initials: P
authors.lastname: Hill
authors.forename: Peter
authors.initials: P
authors.lastname: Juvan
authors.forename: Blaz
authors.initials: B
authors.lastname: Zupan
authors.forename: Adam
authors.initials: A
authors.lastname: Kuspa
authors.forename: Gad
authors.initials: G
authors.lastname: Shaulsky
mesh_terms: D000818:Animals; D017868:Cyclic AMP-Dependent Protein Kinases / Q000235:genetics / Q000378:metabolism; D004023:Dictyostelium / Q000201:enzymology / Q000235:genetics*; D004843:Epistasis, Genetic; D009154:Mutation; D011493:Protein Kinase C / Q000235:genetics / Q000378:metabolism; D014158:Transcription, Genetic
chemical_list: D017868:Cyclic AMP-Dependent Protein Kinases; D011493:Protein Kinase C