title: Correlating gene promoters and expression in gene disruption experiments.
abstract: BACKGROUND
  Finding putative transcription factor binding sites in the upstream sequences of similarly expressed genes has recently become a subject of intensive studies. In this paper we investigate how much gene expression regulation can be attributed to the presence of various binding sites in the gene promoters by correlating the binding sites and the changes in gene expression resulting from gene disruptions (e.g. knockouts).
  
  
  RESULTS
  We have developed a data analysis method for comparing mRNA measurements of gene disruption experiments with information about gene promoters. The method was applied to a well-known dataset to uncover correlations between known transcription factor binding site motifs in the upstream regions of all S. cerevisiae genes and the gene expression changes in various gene disruption experiments. The possible explanations of the correlations were categorized and analyzed using e.g. expression cascades. Several correlations turned out to be consistent with existing biological knowledge while some new ones suggest themselves for further study.
  
  
  BACKGROUND
  The resulting tables are available at http://www.cs.helsinki.fi/u/kpalin/CorrDisrupt/.
authors.affiliation: Department of Computer Science, University of Helsinki, Finland. kimmo.palin@cs.helsinki.fi
authors.forename: Kimmo
authors.initials: K
authors.lastname: Palin
authors.forename: Esko
authors.initials: E
authors.lastname: Ukkonen
authors.forename: Alvis
authors.initials: A
authors.lastname: Brazma
authors.forename: Jaak
authors.initials: J
authors.lastname: Vilo
mesh_terms: D000465:Algorithms; D001665:Binding Sites; D004271:DNA, Fungal / Q000378:metabolism*; D020869:Gene Expression Profiling / Q000379:methods*; D005786:Gene Expression Regulation / Q000235:genetics*; D020868:Gene Silencing; D011401:Promoter Regions, Genetic / Q000235:genetics*; D011485:Protein Binding; D012106:Research; D012441:Saccharomyces cerevisiae / Q000235:genetics* / Q000378:metabolism*; D013223:Statistics as Topic; D014157:Transcription Factors / Q000235:genetics*
chemical_list: D004271:DNA, Fungal; D014157:Transcription Factors