Literature DB >> 15316010

Development and refinement of pregnane X receptor (PXR) DNA binding site model using information theory: insights into PXR-mediated gene regulation.

Carrie A Vyhlidal1, Peter K Rogan, J Steven Leeder.   

Abstract

The pregnane X receptor (PXR) acts as a receptor to induce gene expression in response to structurally diverse xenobiotics through binding as a heterodimer with the 9-cis retinoic acid receptor (RXR) to enhancers in target gene promoters. We identified and estimated the affinities of novel PXR/RXR binding sites in regulated genes and additional genomic targets of PXR with an information theory-based model of the PXR/RXR binding site. Our initial PXR/RXR model, the result of the alignment of 15 previously characterized binding sites, was used to scan the promoters of known PXR target genes. Sites from these genes, with information contents of >8 bits bound by PXR/RXR in vitro, were used to revise the information weight matrix; this procedure was repeated by screening for progressively weaker binding sites. After three iterations of refinement, the model was based on 48 validated PXR/RXR binding sites and has an average information content (Rsequence) of 14.43 +/- 3.21 bits. A scan of the human genome predicted novel PXR/RXR binding sites in the promoters of UGT1A3 (19.78 bits at -8040 and 16.37 bits at -6930) and UGT1A6 (12.74 bits at -9216), both of which were identified previously as targets for PXR. These sites were subsequently demonstrated to specifically bind PXR/RXR in competition electrophoretic mobility shift assays. A strong PXR site was also predicted upstream of the CASP10 gene (18.69 bits at -7872) and was validated by binding studies and reporter assays as a PXR responsive element. This suggests that the PXR-mediated response extends beyond genes involved in drug biotransformation and transport.

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Year:  2004        PMID: 15316010     DOI: 10.1074/jbc.M408395200

Source DB:  PubMed          Journal:  J Biol Chem        ISSN: 0021-9258            Impact factor:   5.157


  14 in total

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Review 4.  Nuclear receptors in the multidrug resistance through the regulation of drug-metabolizing enzymes and drug transporters.

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5.  PCB153-elicited hepatic responses in the immature, ovariectomized C57BL/6 mice: comparative toxicogenomic effects of dioxin and non-dioxin-like ligands.

Authors:  Anna K Kopec; Lyle D Burgoon; Daher Ibrahim-Aibo; Bryan D Mets; Colleen Tashiro; Dave Potter; Bonnie Sharratt; Jack R Harkema; Timothy R Zacharewski
Journal:  Toxicol Appl Pharmacol       Date:  2009-12-18       Impact factor: 4.219

6.  Nuclear hormone receptor DHR96 mediates the resistance to xenobiotics but not the increased lifespan of insulin-mutant Drosophila.

Authors:  Sonita Afschar; Janne M Toivonen; Julia Marianne Hoffmann; Luke Stephen Tain; Daniela Wieser; Andrew John Finlayson; Yasmine Driege; Nazif Alic; Sahar Emran; Julia Stinn; Jenny Froehlich; Matthew D Piper; Linda Partridge
Journal:  Proc Natl Acad Sci U S A       Date:  2016-01-19       Impact factor: 11.205

7.  BIPAD: a web server for modeling bipartite sequence elements.

Authors:  Chengpeng Bi; Peter K Rogan
Journal:  BMC Bioinformatics       Date:  2006-02-17       Impact factor: 3.169

8.  Tandem machine learning for the identification of genes regulated by transcription factors.

Authors:  Deendayal Dinakarpandian; Venetia Raheja; Saumil Mehta; Erin G Schuetz; Peter K Rogan
Journal:  BMC Bioinformatics       Date:  2005-08-22       Impact factor: 3.169

9.  Expression of the PXR gene in various types of cancer and drug resistance.

Authors:  Enqi Qiao; Minghua Ji; Jianzhong Wu; Rong Ma; Xiaohua Zhang; Yuejun He; Quanbin Zha; Xue Song; Li-Wei Zhu; Jinhai Tang
Journal:  Oncol Lett       Date:  2013-01-22       Impact factor: 2.967

10.  Discovery of Fur binding site clusters in Escherichia coli by information theory models.

Authors:  Zehua Chen; Karen A Lewis; Ryan K Shultzaberger; Ilya G Lyakhov; Ming Zheng; Bernard Doan; Gisela Storz; Thomas D Schneider
Journal:  Nucleic Acids Res       Date:  2007-10-05       Impact factor: 16.971

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