Graphical Analysis and Experimental Evaluation of Saccharomyces Cerevisiae PTRK1|2 and PBMH1|2 Promoter Region


Susanne Gerver [1](gerber@molgen.mpg.de)
Guide Hasenbrink [2](uzs6br@uni-bonn.de)
Wouter Hendriksen [3](w.t.hendriksen@biology.leidenuniv.nl)
Paul van Heusden [3](G.P.H.van.Heusden@biology.leidenuniv.nl)
Jost Ludwig [2](jost.ludwig@uni-bonn.de)
Edda Klipp [1](edda.klipp@rz.hu-berlin.de)
Hella Lichtenberg-Fraté [2](h.lichtenberg@uni-bonn.de)

[1] Group of Theoretical Biophysics, MNF I,Humboldt University of Berlin, Invalidenstrasse 42, 10115 Berlin, Germany
[2] University of Bonn, IZMB, Kirschallee 1 - D 53115 Bonn ,Germany
[3] Section Molecular and Developmental Genetics, Institute of Biology, Leiden University,Sylviusweg 72, 2333 BE Leiden, The Netherlands


Abstract

We designed a simple graphical presentation for the results of a transcription factor (TF) pattern matching analysis. The TF analysis algorithm utilized known sequence signature motifs from several databases. The graphical presentation enabled a quick overview of potential TF binding sites, their frequency and spacing on both DNA strands and thus straight forward identification of promising candidates for further experimental investigations. The developed tool was applied on in total four Saccharomyces cerevisiae gene promoter regions. The selected differentially expressed genes belong to functionally different families and encode duplicate functions, TRK1 and TRK2 as ion transporters and BMH1 and BMH2 as multiple regulators. Output evaluation revealed a number of TFs with promising differences in the promoter regions of each gene pair. Experimental investigations were performed by using corresponding TF yeast mutants for either phenotypic analysis of ion transport mediated growth or expression analysis of BMH1,2 genes. Upon phenotypic testing one TF mutant exhibited severely impaired growth under non-permissive conditions. This TF, Mot3p was identified as of most abundant potential binding sites and distinctive patterns among the TRK promoter regions.

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Japanese Society for Bioinformatics