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本文引用的文献

1
Identification of putative plant cold responsive regulatory elements by gene expression profiling and a pattern enumeration algorithm.通过基因表达谱分析和模式枚举算法鉴定假定的植物冷响应调控元件。
Plant Biotechnol J. 2003 Sep;1(5):345-52. doi: 10.1046/j.1467-7652.2003.00032.x.
2
The WRKY70 transcription factor: a node of convergence for jasmonate-mediated and salicylate-mediated signals in plant defense.WRKY70转录因子:植物防御中茉莉酸介导信号和水杨酸介导信号的汇聚节点。
Plant Cell. 2004 Feb;16(2):319-31. doi: 10.1105/tpc.016980. Epub 2004 Jan 23.
3
Recent advances in computational promoter analysis in understanding the transcriptional regulatory network.计算启动子分析在理解转录调控网络方面的最新进展。
Biochem Biophys Res Commun. 2003 Sep 26;309(3):495-501. doi: 10.1016/j.bbrc.2003.08.052.
4
Regulatory sequence analysis tools.调控序列分析工具。
Nucleic Acids Res. 2003 Jul 1;31(13):3593-6. doi: 10.1093/nar/gkg567.
5
SiteSeer: Visualisation and analysis of transcription factor binding sites in nucleotide sequences.SiteSeer:核苷酸序列中转录因子结合位点的可视化与分析
Nucleic Acids Res. 2003 Jul 1;31(13):3572-5. doi: 10.1093/nar/gkg511.
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The Ensembl genome database project.Ensembl基因组数据库项目。
Nucleic Acids Res. 2002 Jan 1;30(1):38-41. doi: 10.1093/nar/30.1.38.
7
A higher-order background model improves the detection of promoter regulatory elements by Gibbs sampling.高阶背景模型通过吉布斯采样改进了启动子调控元件的检测。
Bioinformatics. 2001 Dec;17(12):1113-22. doi: 10.1093/bioinformatics/17.12.1113.
8
Chromatin remodelling.染色质重塑
Curr Opin Plant Biol. 2001 Oct;4(5):457-62. doi: 10.1016/s1369-5266(00)00200-4.
9
PROSPECT improves cis-acting regulatory element prediction by integrating expression profile data with consensus pattern searches.PROSPECT通过将表达谱数据与共有模式搜索相结合,改进了顺式作用调控元件的预测。
Nucleic Acids Res. 2001 Oct 1;29(19):3988-96. doi: 10.1093/nar/29.19.3988.
10
The TRANSFAC system on gene expression regulation.关于基因表达调控的TRANSFAC系统。
Nucleic Acids Res. 2001 Jan 1;29(1):281-3. doi: 10.1093/nar/29.1.281.

POBO,通过自展法进行转录因子结合位点验证。

POBO, transcription factor binding site verification with bootstrapping.

作者信息

Kankainen Matti, Holm Liisa

机构信息

Structural Genomics Group, Institute of Biotechnology, University of Helsinki, PO Box 56 (Viikinkaari 5), Fin-00014, Helsinki, Finland.

出版信息

Nucleic Acids Res. 2004 Jul 1;32(Web Server issue):W222-9. doi: 10.1093/nar/gkh463.

DOI:10.1093/nar/gkh463
PMID:15215385
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC441601/
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.

摘要

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。