【摘 要】
：
目的 低氧是常见的病理生理状态,铁代谢紊乱是脑卒中等低氧损伤的重要病理过程.近年来研究发现越来越多的与铁代谢相关的蛋白,并陆续发现多种铁代谢相关蛋白通过低氧反应元件(hypoxia-response element,HRE),受到低氧诱导因子(hypoxia inducible factor, HIF)的直接调节.本研究目的是基于基因表达数据整合和现有HRE序列特征,寻找新的受HIF直接调节的铁代
【机 构】
：
首都医科大学,神经生物学系,北京100069;军事医学科学院,基础医学研究所,北京100850 军
【出 处】
：
中国神经科学学会第九届全国学术会议暨第五届会员代表大会
论文部分内容阅读
目的 低氧是常见的病理生理状态,铁代谢紊乱是脑卒中等低氧损伤的重要病理过程.近年来研究发现越来越多的与铁代谢相关的蛋白,并陆续发现多种铁代谢相关蛋白通过低氧反应元件(hypoxia-response element,HRE),受到低氧诱导因子(hypoxia inducible factor, HIF)的直接调节.本研究目的是基于基因表达数据整合和现有HRE序列特征,寻找新的受HIF直接调节的铁代谢相关蛋白.方法 根据高通量基因表达数据(gene expression omnibus),建立铁代谢相关蛋白库.以已知HRE为阳性训练集,构建碱基频率矩阵,对铁代谢相关蛋白基因组数据进行扫描,并对阳性结果进行保守性分析.结果 (1)所构建的碱基频率矩阵模型在训练集上的敏感性和特异性分别为40.28％和100.0％,此时训练集中含有74个HRE阳性数据和3000个长为20 000nt的阴性数据.(2)基于模型的人基因组(人NCBI Build 36.2)扫描,获得了2 178个阳性基因.(3)建立了铁代谢相关蛋白库,拟进一步对其HRE扫描结果进行保守性分析.结论 这一方法将为发现新的HIF靶向的铁代谢相关蛋白提供较好的生物信息学支持和进一步进行实验研究的依据.
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