title: A computational analysis of whole-genome expression data reveals chromosomal domains of gene expression.
abstract: Chromosome correlation maps display correlations between the expression patterns of genes on the same chromosome. Using these maps, we show here that adjacent pairs of genes, as well as nearby non-adjacent pairs of genes, show correlated expression independent of their orientation. We present specific examples of adjacent pairs with highly correlated expression patterns, in which the promoter of only one of the two genes contains an upstream activating sequence (UAS) known to be associated with that expression pattern. Finally, we show that genes with similar functions tend to occur in adjacent positions along the chromosomes. Our results suggest that, in certain chromosomal expression domains, an UAS can affect the transcription of genes that are not immediately downstream from it.
authors.affiliation: Department of Genetics, Harvard Medical School, Boston, Massachusetts, USA.
authors.forename: B A
authors.initials: BA
authors.lastname: Cohen
authors.forename: R D
authors.initials: RD
authors.lastname: Mitra
authors.forename: J D
authors.initials: JD
authors.lastname: Hughes
authors.forename: G M
authors.initials: GM
authors.lastname: Church
mesh_terms: D002453:Cell Cycle / Q000235:genetics*; D002874:Chromosome Mapping; D015825:Chromosomes, Fungal / Q000235:genetics* / Q000648:ultrastructure; D015966:Gene Expression Regulation, Fungal; D014644:Genetic Variation; D016681:Genome, Fungal; D008957:Models, Genetic; D016366:Open Reading Frames; D012441:Saccharomyces cerevisiae / Q000166:cytology / Q000235:genetics*