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PMID: 12386000 Published · ppublish English Journal Article

Correlating gene promoters and expression in gene disruption experiments.

Bioinformatics (Oxford, England) ·Vol. 18 Suppl 2 ·2002-00-00 ·Pages S172-80

Palin K, Ukkonen E, Brazma A, Vilo J

Abstract

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). 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. The resulting tables are available at http://www.cs.helsinki.fi/u/kpalin/CorrDisrupt/.

MeSH Terms
Algorithms Binding Sites DNA, Fungal/metabolism Gene Expression Profiling/methods Gene Expression Regulation/genetics Gene Silencing Promoter Regions, Genetic/genetics Protein Binding Research Saccharomyces cerevisiae/genetics,metabolism Statistics as Topic Transcription Factors/genetics
Chemicals
DNA, Fungal Transcription Factors
Authors & Affiliations
4 authors, click to expand affiliations / ORCID
Palin Kimmo
Department of Computer Science, University of Helsinki, Finland. [email protected]
Ukkonen Esko
Brazma Alvis
Vilo Jaak
Article Info
Journal
Bioinformatics (Oxford, England)
Abbr.
Bioinformatics
ISSN
1367-4803
Published
2002-00-00
Pages
S172-80
Language
English
Region
England
NLM ID
9808944
Subset
IM
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