title: POBO, transcription factor binding site verification with bootstrapping.
abstract: Transcription factors can either activate or repress target genes by binding onto short nucleotide sequence motifs in the promoter regions of these genes. Here, we present POBO, a promoter bootstrapping program, for gene expression data. POBO can be used to detect, compare and verify predetermined transcription factor binding site motifs in the promoters of one or two clusters of co-regulated genes. The program calculates the frequencies of the motif in the input promoter sets. A bootstrap analysis detects significantly over- or underrepresented motifs. The output of the program presents bootstrapped results in picture and text formats. The program was tested with published data from transgenic WRKY70 microarray experiments. Intriguingly, motifs recognized by the WRKY transcription factors of plant defense pathways are similarly enriched in both up- and downregulated clusters. POBO analysis suggests slightly modified hypothetical motifs that discriminate between up- and downregulated clusters. In conclusion, POBO allows easy, fast and accurate verification of putative regulatory motifs. The statistical tests implemented in POBO can be useful in eliminating false positives from the results of pattern discovery programs and increasing the reliability of true positives. POBO is freely available from http://ekhidna.biocenter.helsinki.fi:9801/pobo.
authors.affiliation: Structural Genomics Group, Institute of Biotechnology, University of Helsinki, PO Box 56 (Viikinkaari 5), Fin-00014, Helsinki, Finland.
authors.forename: Matti
authors.initials: M
authors.lastname: Kankainen
authors.forename: Liisa
authors.initials: L
authors.lastname: Holm
mesh_terms: D001665:Binding Sites; D005786:Gene Expression Regulation; D020407:Internet; D011401:Promoter Regions, Genetic; D015203:Reproducibility of Results; D012984:Software; D014157:Transcription Factors / Q000378:metabolism*; D014584:User-Computer Interface
chemical_list: D014157:Transcription Factors