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首页> 外文期刊>Journal of Bioinformatics and Computational Biology >COMPARATIVE GENOMIC ANALYSIS OF TRANSCRIPTION REGULATION ELEMENTS INVOLVED IN HUMAN MAP KINASE G-PROTEIN COUPLING PATHWAY
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COMPARATIVE GENOMIC ANALYSIS OF TRANSCRIPTION REGULATION ELEMENTS INVOLVED IN HUMAN MAP KINASE G-PROTEIN COUPLING PATHWAY

机译:人体映射激酶G蛋白偶联途径中转录调控因子的比较基因组学分析

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摘要

The identification of cis-elements (motifs) in the regulatory regions of higher eukaryotes is an important and challenging problem in computational biology. Eukaryotic transcriptional regulatory mechanisms pose several difficulties for promoter analysis: including a high variance in the motif locations, frequently large divergence from motif consensus patterns, and a large amount of repetitive elements (confusing to many motif finding procedures). One promising approach to this difficult problem involves cross-species comparison. In this work we analyzed the full-length regulatory regions of genes involved in the G-protein coupling MAP kinase pathway and compared the results with ribosomal genes using human, mouse and rat genomic data. We found 19 high likely transcription factors (TFs) candidates for MAPK and 12 TFs for the ribosomal dataset. In the case of the MAPK dataset, regulatory regions of genes functionally grouped as receptors and MAP-core genes were found mostly highly conserved across the three species.
机译:在高等真核生物的调控区域中的顺式元素(基序)的识别是计算生物学中一个重要且具有挑战性的问题。真核转录调控机制为启动子分析带来了一些困难:包括基序位置的高度差异,与基序共有模式的频繁差异以及大量重复元件(与许多基序发现程序相混淆)。解决这一难题的一种有前途的方法涉及跨物种比较。在这项工作中,我们分析了参与G蛋白偶联MAP激酶途径的基因的全长调控区,并使用人,小鼠和大鼠的基因组数据将结果与核糖体基因进行了比较。我们发现MAPK的19个高可能转录因子(TFs)候选者和核糖体数据集的12个TFs。在MAPK数据集的情况下,发现在功能上分为受体和MAP核心基因的基因的调节区在这三个物种中大多高度保守。

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