| 基于基因表达谱的肝脏缺血再灌注损伤分子网络构建与关键分子辨识 |
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| 引用本文： | 潘月,郭利华,邵晓娜,陈钰,李岚,徐承富,冯智英,伯晓晨,虞朝辉,陈李华,陈卫星.基于基因表达谱的肝脏缺血再灌注损伤分子网络构建与关键分子辨识[J].军事医学科学院院刊,2013(10):730-733. |
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| 作者姓名： | 潘月 郭利华 邵晓娜 陈钰 李岚 徐承富 冯智英 伯晓晨 虞朝辉 陈李华 陈卫星 |
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| 作者单位： | [1]浙江大学医学院附属第一医院消化内科,杭州310003 [2]宁波大学附属医院消化内科,浙江宁波315040 [3]宁波医疗中心李惠利医院消化内科,浙江宁波315041 [4]军事医学科学院放射与辐射医学研究所,北京100850 |
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| 基金项目： | 浙江省自然科学基金资助项目（Y2110026,LYl2H03012）;浙江省医药卫生科学研究基金资助项目（20098043）;高等学校博士学科点专项科研基金资助项目（20110101120115） |
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| 摘 要： | 目的基于缺血再灌注小鼠肝脏细胞的基因表达谱构建相关的分子网络，获得高度相关的肝脏缺血再灌注损伤核心网络。方法应用融合表达谱相关性信息的激活子网辨识算法对小鼠肝脏缺血再灌注损伤的基因表达谱进行分析，计算基因表达谱的激活子集，对相关基因子集进行聚类和富集分析。结果与结论肝脏缺血再灌注损伤激活子集分析结果表明，JAK／STAT、MAPK、TLR等信号通路参与该损伤的病理生理过程。利用生物信息学方法对肝脏缺血再灌注损伤表达谱进行数据分析，将为进一步了解肝脏缺血再灌注损伤发病机制提供新的恩路。
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| 关 键 词： | 肝脏缺血再灌注损伤 基因表达谱 分子网络 |
Construction of liver ischemia-reperfusion injury molecule networks and key molecu- lar recognition in mice based on gene expression profiles |
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| PAN Yue,GUO Li-hua,SHAO Xiao-na,CHEN Yu,LI Lan,XU Cheng-fu,FENG Zhi-ying,BO Xiao-chen,YU Chao-hui,CHEN Li-hua,CHEN Wei-xing.Construction of liver ischemia-reperfusion injury molecule networks and key molecu- lar recognition in mice based on gene expression profiles[J].Bulletin of the Academy of Military Medical Sciences,2013(10):730-733. |
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| Authors: | PAN Yue GUO Li-hua SHAO Xiao-na CHEN Yu LI Lan XU Cheng-fu FENG Zhi-ying BO Xiao-chen YU Chao-hui CHEN Li-hua CHEN Wei-xing |
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| Institution: | 1 (1. Department of Gastroenterology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, China; 2. Department of Gastroenterology, The Ailiated Hospital, College of Medicine, Ningbo University, Ningbo, Zhejiang 315040, China; 3. Department of Gastroenterology, Ningbo Medical Treatment Center Lihuili Hospital, Ningbo, Zhejiang 315041 ,China; 4. Institute of Radiation Medicine, Academy of Military Medical Sciences, Beijing 100850, China) |
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| Abstract: | Objective To construct molecular networks based on ischemia-reperfusion（IR） in gene expression profiles of mouse liver cells, and obtain highly relevant hepatic IR injury in the core network. Methods The gene expression profi ling of mouce liver IR injury was analyzed by integration expression profiling relevant information on activated subset identi fication algorithm. The activation of a subset of the gene expression profiles was calculated. The related gene subset poly classes and enrichment were also explored. Results and Conclusion The results show that JAK/STAT, MAPK and TLR signaling pathways are involved in the pathophysiological process of the injury. Bioinformatics methods provide new ideas about pathogenesis of liver IR injury in mice. |
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| Keywords: | hepatic ischemia-reperfusion injury gene expression profiles molecular networks |
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