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AN INTEGRATED NETWORK APPROACH TO IDENTIFYING BIOLOGICAL PATHWAYS AND ENVIRONMENTAL EXPOSURE INTERACTIONS IN COMPLEX DISEASES

机译:一种识别复杂疾病中生物途径和环境暴露相互作用的综合网络方法

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Complex diseases are the result of intricate interactions between genetic, epigenetic and environmental factors. In previous studies, we used epidemiological and genetic data linking environmental exposure or genetic variants to phenotypic disease to construct Human Phenotype Networks and separately analyze the effects of both environment and genetic factors on disease interactions. To better capture the intricacies of the interactions between environmental exposure and the biological pathways in complex disorders, we integrate both aspects into a single "tripartite" network. Despite extensive research, the mechanisms by which chemical agents disrupt biological pathways are still poorly understood. In this study, we use our integrated network model to identify specific biological pathway candidates possibly disrupted by environmental agents. We conjecture that a higher number of co-occurrences between an environmental substance and biological pathway pair can be associated with a higher likelihood that the substance is involved in disrupting that pathway. We validate our model by demonstrating its ability to dctcct known arsenic and signal transduction pathway interactions and speculate on candidate cell-cell junction organization pathways disrupted by cadmium. The validation was supported by distinct publications of cell biology and genetic studies that associated environmental exposure to pathway disruption. The integrated network approach is a novel method for detecting the biological effects of environmental exposures. A bettor understanding of the molecular processes associated with specific environmental exposures will hdp in developing targeted molecular therapies for patients who have been exposed to the toxicity of environmental chemicals.
机译:复杂疾病是遗传,表观遗传和环境因素之间复杂的相互作用的结果。在先前的研究中,我们使用将环境暴露或遗传变异的流行病学和遗传数据联系起来给表型疾病构建人类表型网络,并分别分析环境和遗传因素对疾病相互作用的影响。为了更好地捕获环境暴露与复杂疾病中的生物途径之间的相互作用的复杂性,我们将两个方面整合到一个“三方”网络中。尽管研究广泛,但化学试剂破坏生物途径的机制仍然很差。在本研究中,我们使用我们的集成网络模型来识别可能被环境代理中断的特定生物途径候选者。我们透露,环境物质和生物途径对之间的较数较多的共同发生可以与该物质涉及破坏该途径的更高的似然相关。我们通过证明其DCTCCT已知的砷和信号转导途径相互作用的能力来验证我们的模型,并推测镉中断的候选细胞 - 细胞结组合途径。通过相关的细胞生物学和遗传研究的不同出版物来支持验证,这些遗传研究与途径中断相关的环境暴露。综合网络方法是一种检测环境暴露的生物学效应的新方法。对与特异性环境暴露相关的分子过程的博特博语将HDP在暴露于​​环境化学品毒性的患者中培养靶向分子疗法。

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