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首页> 外文期刊>Journal of Bioinformatics and Sequence Analysis >Polymorphisms in the transcription factor binding sites of host genes influences evolutionary susceptibility to falciparum malaria
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Polymorphisms in the transcription factor binding sites of host genes influences evolutionary susceptibility to falciparum malaria

机译:宿主基因转录因子结合位点的多态性影响恶性疟疾的进化易感性

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摘要

Gene expression at the level of transcription is regulated by a set of transcription factors (TFs) that recognizes?cis?elements. We accessed the human promoters from eukaryotic promoter database. These sequences have been run in P-match tool. MEME software has been used for detection of conserved sequences in the promoter region. All the predicted known TFs and their binding sites along with weight matrices were collected from TRANSFAC database under vertebrate TFs category. P-match tool combines pattern matching and weight matrix approaches thus providing higher accuracy of recognition than each of the methods alone. P-Match is closely interconnected with the TRANSFAC? database. Using results of extensive tests of recognition accuracy, we selected three sets of optimized cut-off values that minimize either false negatives or false positives, or the sum of both errors. ?In this report, we focus on those polymorphisms of transcription factor binding sites (TFBS) in the regulatory region of host genes and hypothesize that these variation increases the susceptibility/resistance to a particular disease by alteration of gene product in the cell. Therefore, we have concluded that 124 promoter polymorphisms in the 9 genes involved in malaria pathogenesis play important role in susceptibility to falciparum malaria.
机译:转录水平上的基因表达受一组识别顺式元件的转录因子(TF)调控。我们从真核启动子数据库访问了人类启动子。这些序列已在P-match工具中运行。 MEME软件已用于检测启动子区域中的保守序列。从TRANSFAC数据库中的脊椎动物TF类别下收集所有预测的已知TF及其结合位点以及重量矩阵。 P-match工具结合了模式匹配和权重矩阵方法,因此比单独使用每种方法提供更高的识别精度。 P-Match是否与TRANSFAC紧密相连?数据库。使用广泛的识别准确性测试结果,我们选择了三组优化的临界值,这些临界值可最大程度地减少假阴性或假阳性或两个误差之和。在本报告中,我们重点研究宿主基因调控区中转录因子结合位点(TFBS)的多态性,并假设这些变异会通过改变细胞中的基因产物而增加对特定疾病的敏感性/抗性。因此,我们得出的结论是,与疟疾发病机制有关的9个基因中的124个启动子多态性在对恶性疟疾的易感性中起重要作用。

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