健康与遗传心理学研究室知识库

与精神活性物质使用有关的行为异常与适应不良的神经可塑性，这种变化和许多基因的表达变化有关。随着高通量转录组学技术的发展，有关精神活性物质诱导基因表达的数据己被广泛获取。然而，对基因进行综合注释以寻找在常见的精神活性物质作用下基因的表达有何差异的资料仍然缺乏。因此，本研究通过综合从三个物种(人类、小鼠和大鼠)中得到的25571条基因对常见精神活性物质(包括酒精、尼古丁、可卡因、吗啡、海洛因、甲基苯丙胺和苯丙胺)的反应的信息，开发出AddictGEDB (http://159.226.67.237/sun/addicgeDB/)数据库。

用户友好型的AddictGEDB数据库界面为用户提供多维度的搜索项目去搜索和浏览他们感兴趣的差异表达基因，这些信息包括:1)来自于NCBI数据库的相关基因的基础信息;2)药物和基因的相互作用，用以评估潜在的成药性;3)通过提供蛋白质蛋白质相互作用供研究者发现和目标基因有功能联系的其他基因;4)差异表达基因参与的生物功能通路;5)成瘾的遗传易感基因与其他精神和神经退行性疾病之间的关系;6)目标基因在其他精神疾病中的表达数据;7)差异表达基因在人体31个主要和54个次要的组织中的表达谱。AddictGEDB数据库为研究者研究成瘾的分子基础，探索共同病态精神障碍的机制提供了一个有价值的资源库。

Behavioral abnormalities related to psychostimulants use caused by maladaptive neural plasticity, is associated with changes in numerous gene expression. Following the development of high-throughput transcriptomic technology, data on psychostimulant-induced gene expression have become widely available. However, a resource for comprehensive annotation of genes that show differential expression in response to common psychostimulants is still lacking. Here, we have developed AddictGEDB (http://159.226.67.237/sun/addictgedb/) by integrating over 25571 items of information regarding differentially expressed genes (DEGs) in response to common psychostimulants,including,alcohol,nicotine,cocaine,morphine,heroin,methamphetami ne,and amphetamine,from three species (human, mouse, and rat).

The easy-to-use web interface of AddictGEDB allows users to search and browse multidimensional data on DEGs of their interest: 1) basic information about the specific gene from the NCBI database; 2) drug-gene interaction for assessing potential druggability; 3) protein-protein interaction for discovering functional linkage with other genes of interest; 4) biological pathways that the DEG might be involved in; 5) the association between genetic determinants of addiction and other psychiatric and neurodegenerative disorders; 6) gene expression data for other psychiatric disorders; 7) expression profiles of DEGs across 31 primary and 54 secondary human tissues. AddictGEDB offers a valuable repository for researchers to study the molecular bases of addiction, and to discover the mechanisms of co-morbid psychiatric disorders.