AddictGene: An integrated knowledge base for differentially expressed genes associated with addictive substance | |
Shi, Leisheng2,3; Wang, Yan3; Li, Chong2,3; Zhang, Kunlin3; Du, Quansheng1; Zhao, Mei2,3 | |
刊名 | Computational and Structural Biotechnology Journal |
2021 | |
卷号 | 19页码:2416-2422 |
关键词 | Drug dependence Gene expression Drug abuse Database Addiction |
DOI | 10.1016/j.csbj.2021.04.027 |
产权排序 | 1 |
文献子类 | 实证研究 |
英文摘要 | Addiction, a disorder of maladaptive brain plasticity, is associated with changes in numerous gene expressions. Nowadays, high-throughput sequencing data on addictive substance-induced gene expression have become widely available. A resource for comprehensive annotation of genes that show differential expression in response to commonly abused substances is necessary. So, we developed AddictGene by integrating gene expression, gene-gene interaction, gene-drug interaction and epigenetic regulatory annotation for over 70,156 items of differentially expressed genes associated with 7 commonly abused substances, including alcohol, nicotine, cocaine, morphine, heroin, methamphetamine, and amphetamine, across three species (human, mouse, rat). We also collected 1,141 addiction-related experimentally validated genes by techniques such as RT-PCR, northern blot and in situ hybridization. The easy-to-use web interface of AddictGene (http://159.226.67.237/sun/addictgedb/) allows users to search and browse multidimensional data on DEGs of their interest: 1) detailed gene-specific information extracted from the original studies; 2) basic information about the specific gene extracted from NCBI; 3) SNP associated with substance dependence and other psychiatry disorders; 4) expression alteration of specific gene in other psychiatric disorders; 5) expression patterns of interested gene across 31 primary and 54 secondary human tissues; 6) functional annotation of interested gene; 7) epigenetic regulators involved in the alteration of specific genes, including histone modifications and DNA methylation; 8) protein–protein interaction for functional linkage with interested gene; 9) drug-gene interaction for potential druggability. AddictGene offers a valuable repository for researchers to study the molecular mechanisms underlying addiction, and might provide valuable insights into potential therapies for drug abuse and relapse. |
内容类型 | 期刊论文 |
源URL | [http://ir.psych.ac.cn/handle/311026/38849] |
专题 | 心理研究所_中国科学院心理健康重点实验室 |
作者单位 | 1.Department of Life Sciences, National Natural Science Foundation of China, Beijing; 100085, China 2.University of Chinese Academy of Sciences, Beijing; 101408, China 3.CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing; 100101, China |
推荐引用方式 GB/T 7714 | Shi, Leisheng,Wang, Yan,Li, Chong,et al. AddictGene: An integrated knowledge base for differentially expressed genes associated with addictive substance[J]. Computational and Structural Biotechnology Journal,2021,19:2416-2422. |
APA | Shi, Leisheng,Wang, Yan,Li, Chong,Zhang, Kunlin,Du, Quansheng,&Zhao, Mei.(2021).AddictGene: An integrated knowledge base for differentially expressed genes associated with addictive substance.Computational and Structural Biotechnology Journal,19,2416-2422. |
MLA | Shi, Leisheng,et al."AddictGene: An integrated knowledge base for differentially expressed genes associated with addictive substance".Computational and Structural Biotechnology Journal 19(2021):2416-2422. |
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