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首页> 外文期刊>In silico biology: An international on computational biology >Prediction of Potential C/EBP/NF-κB Composite Elements Using Matrix-Based Search Methods
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Prediction of Potential C/EBP/NF-κB Composite Elements Using Matrix-Based Search Methods

机译:Prediction of Potential C/EBP/NF-κB Composite Elements Using Matrix-Based Search Methods

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摘要

Bacterial infections trigger a wide range of host cell responses. For the interaction of Pseudomonas aeruginosa and epithelial cells it is known that transcription factor NF-κB plays a central role, but its effects have to be specified by cooperation with additional factors. NF-κB containing composite elements, e.g. with C/EBP, may be appropriate indicators for new antibacterial response genes. We refined matrix-based search methods for C/EBP, which was necessary because of weak consensi of the previously existing C/EBP matrices, established a model for C/EBP/NF-κB composite element, used it for scanning all known human 5'-flanking sequences and identified 135 new candidate genes. The newly constructed C/EBP binding patterns will be available with one of the next releases of the TRANSFAC database (http://www.gene-regulation.de).

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