Kankainen Matti, Holm Liisa
Structural Genomics Group, Institute of Biotechnology, University of Helsinki, PO Box 56 (Viikinkaari 5), Fin-00014, Helsinki, Finland.
Nucleic Acids Res. 2004 Jul 1;32(Web Server issue):W222-9. doi: 10.1093/nar/gkh463.
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.
转录因子可通过结合到这些基因启动子区域的短核苷酸序列基序上,来激活或抑制靶基因。在此,我们展示了用于基因表达数据的启动子自展程序POBO。POBO可用于检测、比较和验证一组或两组共调控基因启动子中预先确定的转录因子结合位点基序。该程序计算输入启动子集中基序的频率。自展分析可检测出显著过度或不足代表的基序。该程序的输出以图片和文本格式呈现自展结果。该程序用来自转基因WRKY70微阵列实验的已发表数据进行了测试。有趣的是,植物防御途径的WRKY转录因子识别的基序在上调和下调簇中均有类似程度的富集。POBO分析提出了略有修改的假设基序,可区分上调和下调簇。总之,POBO可实现对假定调控基序的轻松、快速且准确的验证。POBO中实施的统计测试有助于从模式发现程序的结果中消除假阳性,并提高真阳性的可靠性。POBO可从http://ekhidna.biocenter.helsinki.fi:9801/pobo免费获取。