title: Pathways and networks-based analysis of candidate genes associated with nicotine addiction.
abstract: Nicotine is the addictive substance in tobacco and it has a broad impact on both the central and peripheral nervous systems. Over the past decades, an increasing number of genes potentially involved in nicotine addiction have been identified by different technical approaches. However, the molecular mechanisms underlying nicotine addiction remain largely unclear. Under such situation, a comprehensive analysis focusing on the overall functional characteristics of these genes, as well as how they interact with each other will provide us valuable information to understand nicotine addiction. In this study, we presented a systematic analysis on nicotine addiction-related genes to identify the major underlying biological themes. Functional analysis revealed that biological processes and biochemical pathways related to neurodevelopment, immune system and metabolism were significantly enriched in the nicotine addiction-related genes. By extracting the nicotine addiction-specific subnetwork, a number of novel genes associated with addiction were identified. Moreover, we constructed a schematic molecular network for nicotine addiction via integrating the pathways and network, providing an intuitional view to understand the development of nicotine addiction. Pathway and network analysis indicated that the biological processes related to nicotine addiction were complex. Results from our work may have important implications for understanding the molecular mechanism underlying nicotine addiction.
authors.affiliation: School of Biomedical Engineering, Tianjin Medical University, Tianjin, China.
authors.forename: Meng
authors.initials: M
authors.lastname: Liu
authors.affiliation: School of Biomedical Engineering, Tianjin Medical University, Tianjin, China.
authors.forename: Rui
authors.initials: R
authors.lastname: Fan
authors.affiliation: School of Biomedical Engineering, Tianjin Medical University, Tianjin, China.
authors.forename: Xinhua
authors.initials: X
authors.lastname: Liu
authors.affiliation: Department of Pharmaceutical Science, College of Pharmacy, University of South Florida, Tampa, Florida, United States of America.
authors.forename: Feng
authors.initials: F
authors.lastname: Cheng
authors.affiliation: School of Biomedical Engineering, Tianjin Medical University, Tianjin, China.
authors.forename: Ju
authors.initials: J
authors.lastname: Wang
mesh_terms: D053263:Gene Regulatory Networks; D020022:Genetic Predisposition to Disease; D006801:Humans; D053858:Metabolic Networks and Pathways; D008957:Models, Genetic; D049490:Systems Biology / Q000379:methods; D014029:Tobacco Use Disorder / Q000235:genetics*